description: To help surviving victims buried under the rubble after natural disasters, biobots needs to localize them. The little backpack that biobot carries can detect where the sounds is coming from and autonomously steer the biobot towards the sound source. Note that the video is muted after 3 seconds otherwise the speaker plays the sound until biobot finds the source.

uk: вхід без авторизації

name: Automated steering of roach biobot towards a sound source localized by microphone array


name: Integrated Bionic MicroSystems Laboratory (iBionicSLab)

type: Person

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

description: To establish a sensor network among the insect biobots they need to be kept at a certain distance with respect to each other. Also, the tiny solar panels they carry needs to be under a light source for an hour to be charged. We were able to achieve an invisible fence to have roachbot to make a u-turn when it gets out a boundary and stay inside.

TIB AV-Portal

type: Service

type: WebContent

type: MediaObject

@language: en

cs: přihlášení není vyžadováno

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required

nl: geen login vereist

name: Department of Electrical and Computer Engineering

name: Terrestrial Insect Biobot in an Invisible Fence (6x speed)

type: Organization

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


keywords:
oscillation damping
collision detection
flexible robot
elastic link
flexible link
compliance
force control
robotics

description: Structural elasticity represents an undesired effect in a variety of technical systems such as fire rescue turntable ladders, concrete pumps, cherry pickers, cranes and robots. Oscillations prolong settling times and static deflections reduce accuracy. Avoiding structural elasticity therfore most often is a design criterion. However, in this video we intend to show the other side of the coin by exploiting the potential of the elastic properties to sense contact forces. Elasticity is intentionally introduced in an experimental structure and accounted for in the control of the mechanism. The control concept sufficiently mitigates the oscillations as shown in the beginning of the video and position accuracy in the presence of varying payloads can be improved e.g. by means of visual servoing as exemplified in another video (https://www.youtube.com/watch?v=V2NnEU6yGEA). The control concept behind the video follows an independent joint control strategy. The joint angles of each actuator are controlled by a cascaded position controller with an inner velocity and a motor-current loop. The torques acting on the individual joints due to oscillations, gravitational influences and physical interactions of the robot with it's environment are inferred via strain measurements on each link. This information is fed back to each independent joint motion controller to actively influence the reflected joint compliance while simultaneously damping oscillations. Oscillations may occur because of high joint accelerations as well as unforeseen but also planned interactions with the environment. These oscillations are damped regardless of their source. The control concept allows to shape the reflected compliance such that the probability of breaking even fragile objects in case of accidental collisions is significantly reduced. Time-line: 00:12 Oscillation damping during step motion from [0°, 0°, 0°] to [0°, 45°, -45°] 00:27 Damping oscillation due to external impacts 00:37 Passive compliance test at the tip using a soft-ball. With just passive compliance it is clearly visible that the soft-ball gets compressed. 00:58 Active compliance test at the tip using a soft-ball. The compression of the ball is hardly visible. 01:16 Active compliance tests at different points along the structure using a soft-ball. Conventional robots can be equipped with force/torque sensors at the tip. Force control laws enable a user to grab the robot at this sensor and guide it to another desired position. In contrast, the example shows that the flexible links allow the robot to be grabbed along the structure to perform this guidance. 01:34 Pushing the robot at the tip using a feather. 01:45 Accidental collision with a feather in the path and no force control. The robot tries to reach the commanded joint configuration at all cost and breaks the feather. 02:00 Accidental collision with a feather in the path and *activated* force control. The controller limits the force exerted on the feather and stops the robot. Once the feather is removed from the path, the robot approaches the desired joint configuration. 02:12 Accidental collision with a Christmas ball in the path and no force control. Similar to the feather experiment without force control the Christmas ball breaks if the end-effector destination corresponding to the desired joint values lies within the ball. 02:37 Accidental collision with a Christmas ball in the path and *activated* force control. Again, the force controller reduces the exerted forces and saves the Christmas ball.

uk: вхід без авторизації

name: Experiments on force control of a multi-flexible-link robot

name: TU Dortmund, Lehrstuhl für Regelungssystemtechnik

addressCountry: DE

addressLocality: Dortmund

addressRegion: North Rhine-Westphalia


keywords:
oscillation damping
collision detection
flexible robot
elastic link
flexible link
compliance
force control
robotics
kinect
computer vision
visual tracking
visual servoing

description: The video demonstrates 2D visual servoing for the multi-flexible-link robot arm TUDOR. The visual servoing scheme utilizes the robot jacobian of the equivalent rigid arm. Vibration damping is achieved by an underlying cascaded independent joint controller with augmented strain feedback (http://www.youtube.com/watch?v=pmnX4w...). The objective of the visual servoing controller is to keep the centroid of a square pattern in the image center. The controller also compensates for the pose error caused by deflections due to an additional payload of 600 gram. The camera is a Microsoft Kinect, although the depth information has not yet been incorporated in the controller. Exploiting the potentials of the RGB-D sensor for the control flexible-link robots is subject to current research. Timeline: 00:06 Experiment I: Centering a moving square pattern 00:40 Experiment II: Change in payload without visual servoing 01:27 Experiment III: Change in payload with visual servoing

uk: вхід без авторизації

name: TUDOR initial visual servoing experiments


keywords:
oscillation damping
collision detection
flexible robot
elastic link
flexible link
compliance
force control
robotics
machine learning
neural networks
inverse kinematics

description: The forward and inverse kinematic model of a multi-flexible-link robot arm for varying payloads are each approximated by using artificial neural networks. The tip position is predicted from the joint angles and strain signals. The strain measurements allow the reaction to changes in the payload. Thus, the kinematic models can be applied in case of varying payloads. The closed loop controller corrects the joint angles at the target pose based on the pose predicted by the forward model and archives an average pose error of less than 3 mm. Timeline: 00:10 Deflection of TUDOR after adding 600g payload 00:25 Tip position control of TUDOR after adding 600g payload 00:42 Relaxation of TUDOR after removing 600g payload 00:57 Tip position control of TUDOR after removing 600g payload References: - Phung, A. S., J. Malzahn, F. Hoffmann und T. Bertram: Data Based Kinematic Model of a Multi-Flexible-Link Robot Arm for Varying Payloads, In IEEE International Conference on Robotics and Biomimetics, Phuket (Thailand),07.-11.12.2011, pp. 1255-1260 Dezember 2011 - Malzahn, J., A. S. Phung, F. Hoffmann und T. Bertram: Vibration Control of a Multi-Flexible-Link Robot Arm under Gravity, In IEEE International Conference on Robotics and Biomimetics, Phuket (Thailand),07.-11.12.2011, pp. 1249-1254 Dezember 2011 For more information on the project please visit: http://www.rst.e-technik.tu-dortmund.de/cms/de/Forschung/Schwerpunkte/Robotik/TUDOR_neu/index.html

uk: вхід без авторизації

name: TUDOR tip position control with Neural Networks


Visual robotic behavior learning

keywords:
navigation
gaussian mixture model
learning from demonstration
visual behaviors
obstacle avoidance
homing

description: Proof of concept experiments to learn visual robotic behaviors using Instance based learning. Timeline: 0:00 Obstacle avoidance using Instance based learning 0:19 Corner situation using Instance based learning 0:37 Wandering in a corridor using Instance based learning. This video is the supplement to the paper: "Imitation Learning for Visual Robotic Learning" presented at the 19. Workshop Computational Intelligence, Dortmund, 2-4 December 2009.

uk: вхід без авторизації


description: The underlying concept is based on an independent joint control strategy. The joint angles of each actuator are controlled by a cascaded position controller with an inner velocity and a motor-current loop. Strain measurements on each link are fed back to the input of the velocity control loop at the preceding joint. Additionally a zero-vibration input shaper filters the command signal. Timeline: 00:07 Step motion from [0°, 0°, 0°] to [0°, 45°, -45°] 00:23 Step motion from [0°, 45°, -45°] to [0°, 135°, 45°] 00:39 Hit from an additional test mass falling onto the robot at [0°, 135°, 45°] References: - Malzahn, J., A. S. Phung, F. Hoffmann und T. Bertram: Vibration Control of a Multi-Flexible-Link Robot Arm under Gravity, In IEEE International Conference on Robotics and Biomimetics, Phuket (Thailand),07.-11.12.2011, pp. 1249-1254 Dezember 2011 - Malzahn, J., M. Ruderman, A. S. Phung, F. Hoffmann und T. Bertram: Input Shaping and strain gauge feedback vibration control of an elastic robotic arm, 2010 IEEE Conference on Control and Fault Tolerant Systems (Systol'10), pp. 672-677, Nice, France Oktober 2010 For more information on the project please visit: http://www.rst.e-technik.tu-dortmund....

uk: вхід без авторизації

name: TUDOR vibration damping of a multi-link-flexible robot


keywords:
oscillation damping
collision detection
flexible robot
elastic link
flexible link
compliance
force control
robotics
reis robotics
fibre bragg grating

description: Conventional industrial robots are intended for fast and precise manipulation of heavy payloads. The optimization of these objectives results in the bulky design of today's conventional industrial robots, aiming at the maximization of precision through structural rigidity. The video demonstrates that the question, whether a robot arm is rigid or not, basically depends on how close you wish to look at it. A human can deflect the endeffector of a typical conventional industrial robot by hand without major efforts. The video illustrates the structural oscillations and deflections in the order of 2 mm resulting from moderate manual pushes. The deflections and oscillations originate from a combination of the actually present joint as well as link elasticity. While the joint elasticity due to the harmonic drive gears as well as the drive belts are surely dominant, the link elasticity is also measurable. The presented work employs optical strain sensors -- so called Fiber-Bragg-Grating sensors -- for this purpose. The optical fibers are glued onto the links and their working principle is briefly sketched in the second part of the video. In the third part of the video the link elasticity is exploited to make the conventional industrial robot backdriveable. The demonstrated experiment is a physical interaction with the robot. The human touches the arm at arbitrary points along the structure in order to reconfigure the arm posture as desired. The techniques used in the video have been developed and investigated in previous works on the multi-elastic-link arm TUDOR (watch our previous video with TUDOR: http://youtu.be/kJPuenyxeps). The experiments shown in this video represent a straight forward transfer of these techniques to a conventional industrial robot. The strain dynamics modeling of elastic link robots is presented in: Malzahn, J., R. F. Reinhart and T. Bertram: Dynamics Identification of a Damped Multi Elastic Link Robot Arm under Gravity, IEEE International Conference on Robotics and Automation, Honkong, China, 2014 The usage of the strain dynamics model for interaction control is explained in: Malzahn, J. and T. Bertram: Collision Detection and Reaction for a Multi-Elastic-Link Robot Arm, IFAC World Congress, Cape Town (South Africa), 2014 Video outline: 00:10 Demonstration of elasticity in a conventional robot arm 00:33 Link deflection measurement principle 01:30 Experiment: physical interaction with a conventional robot arm Note: The experiments shown in the video have been conducted by professionals. For your own safety: NEVER STAY INSIDE THE WORKSPACE OF AN INDUSTRIAL ROBOT IN OPERATION! For more information on the project please visit: http://tinyurl.com/TUDORRobot

uk: вхід без авторизації

name: Exploiting Link Elasticity in a Conventional Industrial Robot Arm


keywords:
mobile robots
inverse optimal control
social robotics
proxemics
timed elastic band
motion planning
prediction
navigation

description: This video presents the implicitly coordinated motion model (ICMM), a novel motion model for the prediction, planning and coordination of agent trajectories in multi-agent encounters. It explicitly incorporates the social cooperation between humans and mobile robots. Parameters of the ICMM are identified from recorded actual encounters among groups of humans using methods from inverse optimal control. The agents' trajectories are optimized using the Timed-Elastic-Band framework [1,2] considering multiple conflicting objectives such as fastest path, minimal spatial separtion among agents, (kino-)dynamic constraints but also global proxemic aspects such as coherent motion of social groups and a prefered side of passing each other. The recorded dataset contains 73 recorded encounters with up to five humans and a total of 283 individual trajectories. Technical note: the program running in this video has been compiled in debug mode. Compilation with release settings results in a speedup factor of 7. Time-line: 00:09 Parallel trajectory optimization in alternative homotopy classes 00:50 Parallel trajectory optimization with dynamic homotopy class exploration 01:37 TEB selection and implictly coordinated motion model (ICMM) 02:24 Simulations of social encounters 04:11 Using the ICMM on a mobile robot

uk: вхід без авторизації

name: Human-Aware Motion Planning for Mobile Robots in Social Encounters


description: This video shows the mobile robot behavior dynamics learned from demonstration examples. The mobile robot is equipped with an omnidirectional camera with a 360 degree horizontal and 75 deg vertical field of view directed towards the bottom to capture the floor. An ensemble of experts segmentation scheme distinguishes the omnidirectional image into floor and non-floor regions. Three indoor robotic behaviors viz. corridor following, obstacle avoidance and homing are tele-operated to the robot during the demonstration phase by a teacher during which the omnidirectional image and the corresponding executed actions are recorded. The individual behaviors are then represented by a dynamic system that couples the perception and the performed action. Thus every behavior possesses a behavioral dynamics and the variables that characterize this dynamics are called behavioral variables. Here the behavioral dynamics are represented using Gaussian Mixture Models parameters of whose are identified from demonstrations. The recorded behavioral variables are Corridor Following : Rotational velocity, lateral offset of the robot to the corridor (alpha) and orientation error of the robot to the center of the corridor (beta) Obstacle avoidance : Rotational velocity, sinusoid of the next traversible safe direction sin(theta_{safe}) and the cosinus of the orientation of the nearest obstacle times the inverse of its distance cos(theta_{obs}).1/d_{min} Homing : Rotational velocity, distance to the goal point, orientation to the goal point The Homing or docking zone are marked by two red circles whose midpoint of the virtual line connecting the centroids is the docking/homing point. The three behaviors are coordinated manually either by behavior arbitration (subsumption architecture) or by command fusion (weighted summation). The video shows the learned behaviors individually performing the task and finally the fused behavior architecture navigating through the indoor environment and docking to the final goal point. 0:00 Corridor following 0:27 Obstacle avoidance 1:02 Homing 1:39 Behavior coordination via command fusion 3:20 Credits

uk: вхід без авторизації

name: Learning Mobile Robot Behaviour Dynamics


description: In first place, elasticity in the links of robot arms and structurally comparable mechatronic systems such as construction machines, fire rescue turntable ladders, cherry pickers or automobile concrete pumps is a highly undesired effect. It prolongs settling times and deteriorates the positioning accuracy. Therefore substantial mechanical design efforts are commonly taken to avoid link elasticity in these mechanisms. The presented work approaches from the contrary perspective and intentionally introduces intrinsic structural compliance in the links of an experimental robot platform. The motivation is to exploit the added intrinsic link compliance to reduce the overall robot weight, to cut costs, to add positioning tolerance as well as to add contact force sensing capabilities to the system. The video shows, how robust and rapid settling as well as disturbance rejection can still be accomplished by devising control algorithms [1,2] based on per link strain measurements. In addition, the derivation and identification of mathematical models that accurately describe the load and joint configuration dependent static end effector deflections allows -- through software -- for the compensation of the inaccuracy of the mechanism [3]. The feasibility of time critical and precise end effector positioning for an elastic link arm has been exemplified with ball catching experiments before [4] (http://www.youtube.com/watch?v=P4_i_k...). With the mechanical imperfections compensated by the developed inner loop control software, the video demonstrates, how the intrinsic link compliance can be exploited to actively shape the apparent arm compliance, to sensitively sense contact forces, to safely react to accidental collisions as well as to enable intentional physical human machine interaction. The control scheme behind these features uses an identified model of the residual damped arm dynamics [5]. This model is way simpler to derive and identify than a holistic arm model including the oscillatory and actually infinite dimensional arm dynamics. An identified linear mapping from the strain readings acquired close to the hubs on each passively compliant link and the motor torques turns each link into load side joint torque sensors. This way the video shows that collision detection and reaction techniques originally developed by other authors for rigid or elastic joint robots can be readily adopted for the use with elastic link robots [6]. The provided results imply that link elasticity is not necessarily just a problem. In contrast, the devised control concepts are able to compensate for the machine imperfections reveal promising new perspectives. Time-line: 00:12 Introduction to the experimental setup 00:36 Exp I: Oscillation Damping: step motion 00:48 Exp II: Oscillation Damping: harmonic disturbance 02:10 Exp III: Collision detection and reaction: blunt impacts with a balloon 02:37 Exp IV: Collision detection and reaction: sharp impacts with a balloon 03:02 Exp V: Collision detection and reaction: sharp impacts with a Christmas ball 03:23 Exp VI: Collision detection and reaction: sharp impacts with a human arm 03:47 Exp VII: Interaction in zero gravity mode For more information on the project please visit:http://www.rst.e-technik.tu-dortmund....

uk: вхід без авторизації

name: Oscillation Damping, Collision Detection and Reaction for a Multi-Elastic-Link Robot Arm


description: Proof of concept experiments to learn situated behaviors using Artificial neural networks. Timeline: 0:06 Demonstration phase: Semi-automatic demonstrations 0:37 System Architecture 0:49 Features extracted 0:51 Experiment 1 1:38 Experiment 2 3:29 Experiment 3 4:47 Credits and contacts This video is the supplement to the paper: "Situated Learning of Visual Robot Behaviors", 4th International Conference on Intelligent Robotics and Applications (ICIRA 2011), Aachen, Germany.

uk: вхід без авторизації

name: Situated learning of visual robotic behaviors


description: Proof of concept experiments to navigate a corridor environment using Two level feature matching architecture. Layer 1 classifies the scenario from the shape and appearance of the environment into Corridor (C) or Open room (O) or Cluttered (L) environment. Layer 2 deploys scenario specific model to predict action and correspondingly navigate the environment. The two models used are: 1. Artificial Neural Networks and 2. Context matching and prediction. Timeline: 0:00 Scenario: Known corridor with Artificial Neural Networks 0:17 Scenario: Known corridor with Context matching and prediction 0:39 Scenario: Unknown corridor with Artificial Neural Networks 1:02 Scenario: Unknown corridor with Context matching and prediction 1:18 Scenario: Transition between trained and an untrained corridor using Artificial Neural Networks This video is the supplement to the paper: "Scenario and context specific visual robot behavior learning" presented at the 2011 IEEE International Conference on Robotics and Automation (ICRA2011), May 9-13 2011, Shanghai International Convention Center, Shanghai, China. For more information please visit: http://www.rst.e-technik.tu-dortmund....

uk: вхід без авторизації

name: Traversing seen and unseen corridors with Artificial Neural Networks/Context matching


description: Proof of concept experiments to navigate an unknown foyer using Two level feature matching architecture. Layer 1 classifies the scenario from the shape and appearance of the environment into Corridor (C) or Open room (O) or Cluttered (L) environment. Layer 2 deploys an Artificial Neural Network specific to the classified scenario. Timeline: 0:00 Scenario: Unknown foyer with Artificial Neural Networks 0:39 Scenario: Cluttered environment with Artificial Neural Networks 1:10 Scenario: Cluttered environment with Context matching and prediction This video is the supplement to the paper: "Scenario and context specific visual robot behavior learning" presented at the 2011 IEEE International Conference on Robotics and Automation (ICRA2011), May 9-13 2011, Shanghai International Convention Center, Shanghai, China.

uk: вхід без авторизації

name: Traversing unknown foyer and cluttered environments with Artificial Neural Networks/Context matching


keywords:
oscillation damping
collision detection
flexible robot
elastic link
flexible link
compliance
force control
robotics
robotic catching
kinect
computer vision
visual tracking

description: The video shows the three degree of freedom multi-flexible link robot arm TUDOR (Technische Universität Dortmund omnielastic robot) catch balls thrown by a human. The intrinsic compliance of flexible link robots offers novel opportunities for safe human robot interaction as well as force control. Nevertheless the fast joint motions induce significant structural vibrations and the kinematic chain shows load and configuration dependent static deflections. These properties aggravate the precise positioning of flexible link robots. In the video a stabilizing decentralized strain feedback controller rapidly damps the structural vibrations while an artificial neural network has been trained to solve the inverse kinematics problem for varying configurations and payload. The trajectory of the segmented ball is estimated from measurements obtained via a Microsoft Kinect RGB-D-sensor. The measurements are fused with a motion model including Newton friction via an extended Kalman filter. The camera is mounted next to the laboratory entrance. The demonstrator has a success rate of more than 66%, provided that the ball trajectory intersects the planar subspace of the robot workspace, in which the ball can be caught. Timeline: 00:08 Ball catching without vibration control 00:32 Ball catching with decentralized vibration damping control 01:00 Ball tracking and catch location prediction with the Kinect References: Malzahn, J., A. S. Phung und T. Bertram: A Multi-Link-Flexible Robot Arm Catching Thrown Balls. 7th German Conference on Robotics, 21./22.05.2012 ,pp. 411-416 Mai 2012 For more information on the project please visit: http://www.rst.e-technik.tu-dortmund....

uk: вхід без авторизації

name: TUDOR - A multi-link-flexible robot arm catching thrown softballs


keywords:
Wave energy converter
regular waves
wave forces

description: We tested a wave energy converter based on the oscillating water column (OWC) principle. Here regular waves with a period of 5 s and wave height of 1.07 m are applied. These waves were too powerful for the design.

uk: вхід без авторизації

name:
Regular waves hitting a coastal Wave Energy Converter (WEC): Wave period = 5 s
Wave height = 1.07 m

Forschungszentrum Küste

addressLocality: Hanover

addressRegion: Lower Saxony


keywords:
Permeable wall
wave slam
ceiling

description: This was the very first attempt to expose a permeable wall to a focused wave. The results were very unexpected and partly destroyed the roof.

uk: вхід без авторизації

name: Focused wave breaking on a permeable wall: The first attempt with unexpected effects


keywords:
Revetment
storm flood
extreme loading
Norderney

description: A scaled model of the revetment on the Wadden Sea island Norderney was installed in GWK. See how it fares under storm flood conditions and an elevated sea level. In this case the design water level was 5 m above mean sea level.

uk: вхід без авторизації

name: Scaled model of the revetment on the Wadden Sea island Norderney: Design water level MSL +5.0 m


keywords:
Solitary wave
wave generation

description: Here, a solitary wave with height 0.55 m was generated in GWK. The video shows the progress of the wave, its breaking and how it runs up a beach slope.

uk: вхід без авторизації

name: Solitary Wave Generation: Generated wave height H = 0,55 m


keywords:
Wave breaking
monopile
tilting angles
wave forces

description: The same monopile was installed in GWK with different tilting angles with respect to wave approach. See how the breaking and spay changes depending on the angle.

uk: вхід без авторизації

name: Waves breaking on monopiles with different tilting angles


Combination of two solitary waves

description: Two solitary waves running up a beach in the Large Wave Flume (GWK), Hannover. The video shows their interaction on the beach slope and how far they run up the beach.

uk: вхід без авторизації


keywords:
Wave run-up
bed shear stress
laboratory experiments

description: This video provides impressions from bed shear stress under wave run-up experiments. The tests were conducted by Chris Blenkinsopp (University of Bath) and his international team.

uk: вхід без авторизації

name: Impressions from bes sehar stress under wave run-up experiments


keywords:
Focused wave
cylinder group
wave breaking

description: We generated a focused wave that had its breaking point directly at the location where we placed a group of cylinders. The interaction was monitored from two perspectives to give better impressions of the processes.

uk: вхід без авторизації

name: A focused wave breaking on a group of cylinders


Regular waves hitting a monopile

keywords:
Regular waves
monopile
wave forces

description: We exposed a monopile to regular waves to observe the response to breaking waves in a repeatable setup.

uk: вхід без авторизації


A focused wave breaking on a monopile

keywords:
Wave breaking
monopile
wave forces
focused wave

description: A focused wave was generated in GWK in a way that it breaks exactly at the location where a monopile is installed. We were particularly interested in the forces acting on the monopile during these experiments.

uk: вхід без авторизації


Regular waves hitting a vertical Wall

keywords:
Regular waves
vertical wall
high impact

description: In this famous FZK video regular waves hit a vertical wall. This results in forces and water movement that is visible from great distance.

uk: вхід без авторизації


cs: Informatika

de: Informatik

fi: tietojenkäsittelytiede

uk: Комп'ютерні науки

en: Computer Science

fr: Informatique

da: Datalogi

es: Ciencias de la Computación

nl: Informatica

description: A cellular automata model of land-use change developed in the free and open source software environment R is presented. The advantages offered by R as a development environment for a CA land-use model are evaluated, and the pros and cons of the approach employed are discussed in depth with reference to commercial alternatives.

uk: вхід без авторизації

name: A Cellular Automata Land-Use Model For The R Software Environment

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: In the past years, numerous open source projects have started to display 3D globes and 3D data on the web. Standardizing web services, data format and representation models is, therefore, a very hot topic. There are in particular ongoing efforts on the OGC side as well as on the W3C side. The OGC has released a draft candidate for a 3D web service W3DS, the ISO X3D standard proposes an XML-based file format for representing 3D computer graphics and the W3C is considering adding X3D rendering into HTML5. Other projects implement their own web services and formats. On the implementation side, Geoserver supports W3DS and X3D, the X3DOM library prototypes a possible implementation of X3D HTML5 integration and last but not least, browsers with WebGL support are fully able to handle the representation of 3D data on the client side. The talk is going to detail the mentioned elements, show demonstrations of existing implementations and try to suggest a possible path into the 3D web for the FOSS4G community.

uk: вхід без авторизації

name: 3D Web Services And Models For The Web: Where Do We Stand?


A New Dimension To PostGIS : 3D

uk: Комп'ютерні науки

description: Talking about 3D used to sound cool. Used to. But for real GIS use, we really need more than just playing with a globe. 3D in GIS becomes cool as soon as we have the ability to deal with full 3D spatial analysis. Just as we already have in 2D, we need functions like intersection, buffer, triangulation and more ... The GEOS library provides us 2D topological processing for years. The CGAL library could now also provide us some interesting additional 3D topological functions. As CGAL is not fully designed for GIS data models, we provide a library inbetween called SFCGAL, in charge of providing a Simple Feature API on top of CGAL. PostGIS 2.1 now allows to link PostGIS and (SF)CGAL, and already provides several exciting 3D functions (and more and more to come). This thrilling talk about PostGIS 3D will therefore focus on : - What kind of project / application needs 3D GIS analysis ? - What can we do right now with PostGIS 2.1 and (SF)CGAL ? - What we will be able to do soon with PostGIS 3D ? - Some tools used to view and manipulate 3D data (QGIS / WebGL based)

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Agricultural land use in Germany and related impacts on the environment and the use of natural resources are key research topics at the Thünen-Institute of Rural Studies. As spatial context is essential for the analysis of causal connections, GIS data regarding all necessary information was gathered during different research projects and prepared for processing in a database. In particular, the Integrated Administration and Control System, which was available for certain project purposes for several Federal Laender and years, serves as a very detailed data source for agricultural land use. We use different Open Source GIS software like PostgreSQL/PostGIS, GRASS and QuantumGIS for geoprocessing, supplemented with the proprietary ESRI product ArcGIS. After introducing the used input data and the general processing approach, this paper presents a selection of geoprocessing routines for which Open Source GIS software was used. As an exemplary 'use case' for the conclusions from the consecutive statistical analysis, we summarize impacts of increased biogas production on agricultural land use change highlighting the trend in biogas maize cultivation and the conversion of permanent grassland to agricultural cropland.

uk: вхід без авторизації

name: A New GIS Toolbox For Integrating Massive Heterogeneous GIS Data For Land Use Change Analysis


uk: Комп'ютерні науки

uk: вхід без авторизації

name: A New Zealand Case Study: Open Source, Open Standards, Open Data


uk: Комп'ютерні науки

description: Integrated river catchment management planning seeks to balance many demands on the water and land, to protect water resources and ecology for the benefit of the economy, society and the natural world. Third sector organisations have a key role in this process - providing both the practical delivery of river restoration work, and an 'honest broker' role between government, private sector interests and local communities, to try and balance these often conflicting interests in a sustainable catchment plan. However, access to the complex evidence, software models and datasets, which are required for strategic environmental management planning, can be difficult for the third sector and community groups, due to reasons such as cost, licensing restrictions or technical capability. As the umbrella organisation of the rivers trusts movement in England, Wales and Northern Ireland, The Rivers Trust has been exploring the potential for open source software and datasets to improve the sharing of information and evidence with a range of stakeholders in the catchment management planning process. A web GIS application for identifying and prioritising barriers to migratory fish (based on Geoserver) and an application to identify sources of diffuse sediment pollution (built on SAGA GIS) will be demonstrated, and plans for future development of open source tools and data sharing is discussed.

uk: вхід без авторизації

name: A Toe In The Water - Using Open Source Software To Support Catchment Management Planning


uk: Комп'ютерні науки

description: Various software can style maps and generate a proper SLD document for OGC compliant WMS like GeoServer to use. However, in most occasions, the styling allowed by the graphical tools is pretty limited and not good enough to achieve good looking, readable and efficient cartographic output. Topics that will be covered are as follows: - Mastering multi-scale styling, choosing the appropriate style and content for the various map scales - Using GeoServer extensions to build common hatch patterns - Line styling beyond the basics, such as cased lines, controlling symbols along a line and the way they repeat - Leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps, line and fill patterns - Use the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates to your map - Leverage the labelling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology - Blending charts into a map - Dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views, such as on the fly contours extraction, heat maps, and wind maps from raster data - Leverage the analitic power of spatial databases to build dynamic thematic maps based on SQL views - Perform cross layer filtering and parametrize it to perform informative cross layer containment and neighborhood searches. The presentation aims to provide the attendees with enough information to master SLD documents allowing him to produce amazingly looking maps on his own. At the end of the presentation the SLD will no longer be cartographer's enemy.

uk: вхід без авторизації

name: Advanced Cartographic Map Rendering In GeoServer


uk: Комп'ютерні науки

uk: вхід без авторизації

name: An Introduction To Open Source Geospatial


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Analysis Of Realtime Stream Data With Anvil


name: AIT Austrian Institute of Technology Graser, Anita (QGIS team)

uk: Комп'ютерні науки

description: This paper presents a novel open source toolbox for street network comparison based on the Sextante geoprocessing framework for the open source Geographic Information System Quantum GIS (QGIS). In the spirit of open science, the tool- box enables researchers worldwide to assess the quality of street networks such as OpenStreetMap (OSM) by calculating key performance indicators commonly used in street network comparison studies. Additionally, we suggest two new perfor- mance indicators for turn restriction and one-way street comparisons specifically aimed at testing street network quality for routing. We demonstrate the use of this toolbox by comparing OSM and the official Austrian reference graph Graph Integration Platform (GIP) in the greater Vienna region.

uk: вхід без авторизації

name: An Open Source Analysis Toolbox For Street Network Comparison: How OSM Compares To The Official Austrian Reference Graph


uk: Комп'ютерні науки

description: OpenLayers 3 is a complete rewrite based on the latest in browser technology. This talk will focus on best practices for application development with OpenLayers 3. Covering simple maps in a page, integration with popular MV* frameworks, and native-wrapped mobile apps, we'll look at strategies for building mapping functionality into your applications. OpenLayers 3 aims to provide a high performance library with a wide breadth of functionality. Come learn about how it differs from OpenLayers 2, what makes it stand apart from other alternatives, and how you can best leverage its functionality.

uk: вхід без авторизації

name: Application Development With OpenLayers 3


uk: Комп'ютерні науки

description: In geo data, a main footprint coming from Big Data stems from remote sensing, atmospheric and ocean models, and statistics data. In the strive for interoperability, standardizaiton bodies establish interface specifications for large-scale geo services. Are these standards really helpful, or do they inhibit performance? We investigate this and show both positive and negative examples, based on OGC, INSPIRE, and ISO standards relevant for scalable geo services.

uk: вхід без авторизації

name: Big Data In Standardization: Can This Fly?


uk: Комп'ютерні науки

description: The first part of the presentation gives an accessible introduction to Boost Geometry. The second part focuses on some algorithms in detail. Boost.Geometry is a generic library written in C++ providing concepts, geometry types and algorithms developed for solving problems in computational geometry. Boost.Geometry is using modern and portable C++ generic programming techniques and is built upon the foundation of the C++ Standard Library and Boost C++ Libraries. Boost.Geometry follows the OGC Simple Features standard. The Boost Geometry library kernel is designed as agnostic with respect to dimensions, coordinate systems, and types, which makes it generally applicable. A set of geometry models is delivered already by Boost Geometry. This set can be complemented through adaptation of user-defined geometry types, following the concepts defined by Boost Geometry. Boost.Geometry is developed since 2008 by Barend Gehrels and Bruno Lalande, and Mateusz Loskot. The library is peer reviewed by the Boost Community, and accepted into the well-known Boost collection in November 2009. Since 2011 it is released as a standard part of Boost, and immediately available for the majority of C++ programmers. The library is licensed under the (non restrictive) Boost Software License. A Spatial Index, developed by Adam Wulkiewicz, will be released as a standard part of the library in the next release of Boost. The Boost.Geometry library can, because it is a concept based library, following OGC Simple Features, easily be fit into for example Spatial Databases or existing projects using (probably legacy) Object Models. The presentation is dedicated to developers who are interested in receiving practical overview to the Boost Geometry library.

uk: вхід без авторизації

name: Boost.Geometry, Introduction And Examples


uk: Комп'ютерні науки

description: A catastrophe model is a tool/technique which estimates the potential loss of property and life following a major catastrophic event. Different types of events or perils are modelled including; windstorm, earthquake, flood, and storm surge. ELEMENTS is the in-house catastrophe modelling software which is developed by Impact Forecasting, part of Aon Benfield Analytics. Behind the software are models for a wide range of different event and peril types across many countries and regions of the world. To develop the different components of the catastrophe model, Impact Forecasting use a variety of proprietary and open solutions. Open Data sources such as OpenStreetMap, SRTM, CORINE land cover datasets are used, amongst others. The open-source programming language, Python, is also used extensively to create hazard footprints and files needed for the catastrophe model. The use of Open Source software and Open Data supplemented with other available proprietary data sources allow Impact Forecasting to build more flexible and transparent catastrophe models.

uk: вхід без авторизації

name: Building Catastrophe Models With Open Data And Open Software


uk: Комп'ютерні науки

description: The paper explains the development and application of a script for bulk assessment and interpolation of data in the R scripting language. In practice it is often required to analyze a large amount of spatial data from multiple periods of time. First, for familiarization with the data before their processing and second, in the process of space-time analysis in the course of the research. For majority of analyzed quantities it is required to find out, if the analyzed data are changing in space, how the data change in time, whether there are errors in the processed data etc.. An optimal solution of this problem is using the R scripting language. R comes with many interpolation methods (kriging, IDW, ), possibility to use virtually any format of input data from text, csv, xls or other file formats and provides a large abundance of optional picture, plot and graphical outputs. It is also possible to generate picture and text plots for every in-situ observation location of the examined quantity, do different statistical comparison and other applications. In short time it is possible to create a simple application that after minor modification can be employed for dealing with another bulk interpolation task. Thanks to this, after one exemplary application script has been created, it is possible to efficiently create and run additional modifications of the task, wheras other solution approaches (such as using desktop GIS programs) usually require a repetition of the same steps setting of color ramp and color interval breaks, creating output map layouts, adding lists of extra data layers, transformations of shapefiles to identical coordinate systems and additional processing for example statistical testing, creation of tables or creation of more plots that show a complete picture of the quantities' behavior. In our contribution, it is clearly demonstrated how the work with GIS data can be easily automated by using the R scripting language.

uk: вхід без авторизації

name: Bulk Interpolation Using the R Environment


uk: Комп'ютерні науки

description: Geospatial modelling revolves around the structures of data and the semantics of these structures. This is enough in simple cases, but becomes insufficient when the best structure and semantics is hard to find or the solution is too heterogeneous to fix and reuse. Field-based and objects-based geospatial models often share common GIS data structures interchangeably, but their all possible meanings are too many to define in an immutable manner. Less studied approach to geospatial modeling is using mutable structural properties and their semantic interpretation. This work shows that the functional aspect of geospatial models is just as important as the structural and semantic aspects. It also shows that semantic and even structural properties may change when functionality is integral part of the data model, and not exclusively separated at software implementation level. The paper uses this modelling paradigm to address the divide caused by field-based and object-based data models, and other challenges regarding synergy of geospatial systems that need to use both types of data models.

uk: вхід без авторизації

name: Bytecode Unification Of Geospatial Computable Models


Cartaro - The Geospatial CMS

uk: Комп'ютерні науки

description: Cartaro is a new web mapping platform that makes the power of some of the best open source geospatial components available in a content management system (CMS). Cartaro allows to set-up and run small websites or complex web applications with maps and geodata. It is also suitable for geoportals and spatial data infrastructures whenever there is the need to get everything up and running without much individual programming. The geospatial software stack used in Cartaro consists of PostGIS, GeoServer, GeoWebCache and OpenLayers. The whole stack is managed from within the CMS Drupal. The geospatial components bring professional aspects of geodata management into the CMS. This is namely the ability to persist data as true geometries, thus allowing for complex and fast queries and analyses. It does also mean supporting a whole range of data formats and the most relevant OGC standards. For the latter Cartaro can extend the handling of user roles and permissions, which already exists in Drupal, to define fully granular read and write permissions for the web services, too. In the presentation we will first explain our basic motivation behind Cartaro: that is bringing geospatial functionality to the huge community of CMS developers and users. This community, which is of course much larger than the classical FOSS4G community, has a great potential to make more and better use of geodata than it was possible with most existing tools. We will then demonstrate how far the integration with the CMS reaches and present the Drupal user interface that allows to configure most features of Cartaro. We will show how to create, edit and map geospatial content with Cartaro and we will demonstrate the publication of this content as an OGC web service. We will also go into some details concerning the architecture of Cartaro and explain how we tackled specific problems. A glimpse of the some use cases will demonstrate the real potential of Cartaro. It will also show how the focus and functionality of a Cartaro based application can be extended with the installation of any of the Drupal modules that exist for almost every task one could imagine. The presentation will close with the future perspectives for Cartaro. From a technical point of view this includes the roadmap for the next months. But it also includes a discussion of our ideas about Cartaro's role as self-supporting bridge between the geo and not-so-geo world of open source software.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Different geoscience disciplines have developed sophisticated domain-specific cyber infrastructures for data storage, manipulation, and visualization. NetCDF, HDF, and GRIB are multi-dimensional array-based data formats widely used in meteorology and oceanography. However, these formats are not fully compatible with the visualization and manipulation tools supported by Geographic Information Systems (GIS), which caters to the discrete vector features and 2D raster formats commonly used in the geography, hydrology, and cartography. By providing a higher level of abstraction and enabling spatial, rather than indexed, data access, the Unidata Common Data Model (CDM) facilitates integration of NetCDF, HDF, and GRIB data into GIS tools, fostering interdisciplinary communication. The THREDDS Data Server (TDS) utilizes the CDM to work efficiently with large, dynamic collections of observational and model data. The TDS organizes these collections into unified, logical datasets, simplifying their access and dissemination. TDS datasets are exposed via the WMS and WCS Open Geospatial Consortium specifications, with support for time and elevation standard dimensions. Alternatively, TDS datasets are accessible through specialized web services that provide subsetting capabilities. The NetCDF Subset Service allows for spatial subsetting, while OpenDAP subsets by index. Finally, metadata discovery systems such as Geoportal and GI-CAT harvest TDS catalog metadata. The TDS ncISO service also serves catalog metadata directly as ISO documents, enabling text searches and exposing a CSW interface on TDS instances through these discovery systems. The CDM & TDS are OpenSource projects (https://github.com/Unidata/thredds) with strong community support. Members have contributed key features, including the ncISO and WMS implementations. Moreover, many interdisciplinary Web-GIS applications have already been successfully developed combining TDS web services with resources from other spatial data infrastructures. Coupled with Unidata's governing committees, the projects provide a unique framework that establishes quality standards and ensures that development meets community needs

uk: вхід без авторизації

name: CDM & TDS Data Server: Earth & Ocean Sciences Meet GIS


uk: Комп'ютерні науки

description: Imagine a map on which many people collaborate at the same time. Imagine you see the edits happening in real time and you can also see the position of your collaborators and their current view on the map. A Google Docs for maps so you will. Imagine this map in a web-browser that runs on a mobile phone. Imagine not a single bit of data has to be stored on a central server but people are all acting as nodes storing the data in their browser.... and it still works offline..... With the rise of HTML5, including websockets and indexeddb, this is now possible. We created a concurrent online webgis where an unlimited amount of people can do collaborative work on a map in real time. A combination of Openlayers, Websocket and Indexeddb makes it possible to see and update each others edits and location. When people go offline their edits are stored for later synchronisation with their peers. This makes it very useful in unreliable network conditions. The tool has already been deployed in a few test cases. In low level educational projects where students share data with their smart-phone and create a common map. Also during wildfires where officers in the field regularly update the situation for the commanders in the control room. This is just the beginning, new HTML5 capabilities like WebRTC will open up new roads in map-making. Maps will become more dynamic and social, where (map)data will be directly shared between peers. Also if you get bored you get to make a map together with everybody else in the room.

uk: вхід без авторизації

name: Concurrent Online Webgis: A New Way To Map Together

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Geoscience modellers develop numerical models where constraints are placed on how the model domain and sampling relates to location in the modelled world and the real world. The shape of the model domain is a significant factor for numerical algorithms and computational solvers. This leads to a number of interesting definitions of coordinate reference systems. I will summarise some requirements the modelling community have for specifying and working with coordinate reference systems. Post processing and presentation of analyses are important factors; archiving for future use is a crucial consideration. I will present examples of horizontal and vertical coordinate system definitions in common use in the meteorology and oceanography domains and the challenges they may bring. The conclusion will be a discussion how specifications and tools for defining, interpreting and transforming coordinate reference systems, such as Well Known Text (WKT), European Petroleum Survey Group (EPSG) and PROJ.4 are able or unable to meet the requirements of a geosciences modeller.

uk: вхід без авторизації

name: Coordinate Reference System Challenges In GeoScience Modelling


uk: Комп'ютерні науки

description: Creating a workflow from data to report with a GUI-driven package produces something that is hard to repeat. If the data is updated, the pattern of clicks needs to be reproduced. Some software products adapt to this by introducing a custom macro system, or embedding a programming language. The user records a macro, or writes a short script, and replays that script when the data changes. A further step in automating the process from data to report is to have a report document that drives the analysis process itself. Such dynamic documents update to reflect the current data by running chunks of code within the report text. This presentation will show how the "knitr" package for the R statistical system can be used in a GIS context to produce a dynamic document with maps and spatial analysis, and also demonstrate a (hopefully) novel technique to integrate with QGIS so that reports can contain analysis results and maps produced there.

uk: вхід без авторизації

name: Data-driven Report Writing With R And QGIS


uk: Комп'ютерні науки

description: This paper introduces a new digital and in-field mobile solution for landscape visual impact analysis (VIA) with in-field mobile visualisation using GIality (the convergence of 3D models, sensors including location and spatial data) to provide new and engaging, contextual and personal access to information. By taking planning data for spatial analysis off the map and into intuitive app-based mobile systems we will discuss how traditional plan-based representation is not always the best communication tool. Maps may remain a tool for experts and professionals but the future of GI representation is no longer limited by physical media. For public understanding and the democtatisation of data we must understand and embrace new technology trends and opportunities in consumer devices. We will explain how, using modern technology drivers including devices such as mobile phones and tablet computers, combined with geospatial positioning, spatial data and services, GIality can bring a new dimension democratisation and community engagement with planning & renewables data. Especially related to planning and renewable energy development, visual impact is one of the primary aspects in the consideration of acceptance under local and national guidance. This is most reported where the impact of wind turbines on the landscape has split political, environmental and consumer opinion. However the current mechanisms and procedures for visual impact assessment (VIA) are based on traditional printed off-site analysis which limits their context, scope and use. A new approach will be demonstrated with a case study in Scotland. The trends for mobile work and play, combined with integrated sensors and social coordination provide the availability and accessibility of tools for both professionals and citizens to democratise and personalise data. The augmentation of as-planned models and geospatial data with device location, attitude and orientation allows individual places of residence, work and play to be equally fairly, rigorously and unambiguously assessed for visual impact and create cost-effective solutions.

uk: вхід без авторизації

name: Democratising Spatial Data Access and Understanding for Planning Visualisation with GIality


uk: Комп'ютерні науки

description: This presentation presents a case study for how Warwickshire County Council replaced their proprietary web-GIS with an in-house developed deployment of Heron Mapping Client, with GeoServer for the backend. It will cover the entire process, from business case, through specification, extending Heron, technical "gotcha's", community participation, user feedback, evaluation of the project, and future plans.

uk: вхід без авторизації

name: Deploying A Open Source Web-GIS Within Warwickshire County Council


uk: Комп'ютерні науки

description: We present the challenges of building a disconnected geospatial mobile solution and devise five simple rules for the success of your app. This paper will look at the following key issues: Rule 1 Data Storage. Streaming GI data requires good bandwidth, by implementing a caching mechanism the end-user will always have access to the data for a given area. Rule 2 - Use Open Source. Free and Open Source software for GIS has evolved significantly in recent years and in some cases faster than commercial alternatives. The mobile field is a bit different and few experts are using free and open source mobile GIS, despite the good tools that exist. Rule 3 - Use Open Standards. In combination with the use of Open Source products, Open Standards can help future proof the solution. Rule 4 - Simplify User Interfaces. The time of the stylus is gone and users now expect to use their finger for driving the application. Specific attention must be paid to designing simple and clear user interfaces. Rule 5 - Implement Non native Solutions. Should separate solutions be developed for IPhone and Android? Could the answer be instead to actually develop non native solutions reducing development and maintenance costs. Armed with these rules we will look at the challenges on the road ahead to implementing your GI Mobile solution.

uk: вхід без авторизації

name: Disconnected Geospatial Mobile & Open Source 5 Rules To Success?


Doing Business With FOSS

uk: Комп'ютерні науки

description: How to make money with free and open source software ... that's the question! Often the easy answer is by delivering services to the clients using the software. A more nuanced answer could be: to be open in your business model, to cooperate with other FOSS project communities and to provide a sustainable service offer with quality assurance to the clients. Dirk Frigne, co-founder of Geosparc and spiritual father of Geomajas will share his experience with open source adepts and business people interested in starting doing business in an open and transparent way.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: We present a statistical WebGIS platform integrating visualization tools and statistical functions for epidemiological studies, entirely based on Open Source technologies. An application for cancer mapping and environmental cancer studies is the Cancer Atlas (CA-TN), the GeoICT platform of the Cancer Registry of Trentino (Italy).

uk: вхід без авторизації

name: Epidemiology With An Open Source WebGIS Platform


uk: Комп'ютерні науки

uk: вхід без авторизації

name: ESA User Services Powered By Open Source


uk: Комп'ютерні науки

description: We present GPI, the primary application used to view and maintain information and geo-data of farms, farm geometries and farm properties throughout Norway - enabling farmers to create and update some farm data records themselves directly.

uk: вхід без авторизації

name: Farm Maps Online: An Open Source Success In Norway


FOSS4G 2013 Keynote

uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

description: This presentation will show methods of working with AWS to design, deploy and tune Open source software with an end goal to bring up various geo-oriented full stacks. This includes databases, tile renderers, geocoders, routers with all dependencies. It will cover choosing the components, the deployment posture, prototyping, designing for cloud scalability, performance benchmarking and ongoing maintenance. Most of the concepts will lend themselves well to other public or private cloud situations.

uk: вхід без авторизації

name: FOSS4G In AWS: Choosing, Deploying And Tuning Open Source Components In AWS


FOSS4G In Large-scale Projects

uk: Комп'ютерні науки

description: The presentation covers experiences and challenges encountered during the implementation of the Kosovo Spatial Data Infrastructure. The SDI consists of GeoPortal, Cadaster and Land Information System and the Address Register, all implemented on the FOSS stack and interconnected via OGC services.

uk: вхід без авторизації


FOSS4G13 Keynote QGIS 2.0

uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Driven by the major players in of the Web like Google, Facebook, Twitter, NoSQL databases quickly gained real legitimacy in handling important data volumetry. With a first concept of key-value, NoSQL databases have quickly evolve to meet a recurring relationships between entities or documents. Graph / document paradigm provides flexibility that facilitates the representation of the real world. Beyond the representation of information of social networks, this data model fits very well to the problem of Geo Information, its variety of data models and the interconnections between them. The emergence of cloud computing and the needs driven by the Semantic Web have led publishers of geospatial solutions to consider other ways than those currently used to store and process GIS information. It is in this perspective that Geomatys has developed GraphGIS, a spatial cartridge for OrientDB, the Graph oriented NoSQL database. This solution provides support of geographic Vector, Raster and Sensor data, in multiple dimensions and their associated metadata.

uk: вхід без авторизації

name: GraphGIS, Bringing Spatial Functionalities To NoSQL Graph Databases


GDAL/OGR Project Status

uk: Комп'ютерні науки

description: An overview of the capabilities of the GDAL/OGR (Geospatial Data Abstraction Library) project will be covered, followed by a focus on new developments in the last two years and future directions for the project.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: GeoCat Bridge helps to bridge the gap between proprietary and open source solutions. The goal of this product is to provide a solution that makes it extremely easy for users to publish their data on a GeoNetwork, GeoServer and/or MapServer based server solution. The tool converts the ArcMap symbology to symbology optimized for GeoServer and MapServer. Data can be loaded to the server on the file system or straight into PostGIS. It manages metadata at the source and publishes it as clean ISO19139 metadata. This extension creates a bridge where both proprietary, open source solution providers and open standards supporters are winners.

uk: вхід без авторизації

name: GeoCat Bridge - Publish From ArcGIS Desktop Into FOSS4G


uk: Комп'ютерні науки

description: Databases that support spatial queries are often limited to three dimensions, but the requirements increase. You might want to query in more dimensions, for time ranges or other attributes like trajectories. Documents are represented as JSON. The values that will be stored in the index can be extracted from anywhere within such a JSON document. Even conversions like reprojections are possible. Apache CouchDB and Couchbase are document databases, hence belong to the non-relational space which is also known as NoSQL. One of the strengths of Apache CouchDB is the (multi-master) replication. You can keep the data from several different instances easily in sync, even if you change the data on different instances. The replication isn't limited to Apache CouchDB, but it's a whole ecosystem. It's even possible to sync with your web browser and store it in its offline storage. This way the user can access the data offline, without the need to be always connected to the server. In contrast Couchbase has its strong point in working at scale. The data gets automatically sharded across machines. Adding and removing servers at a later stage can be performed through a simple web interface. If a server goes down the system can still work without any interruptions. GeoCouch, Apache CouchDB and Couchbase are open source and licensed under the Apache License 2.0.

uk: вхід без авторизації

name: GeoCouch: An N-dimensional Index For Apache CouchDB And Couchbase


uk: Комп'ютерні науки

description: The presentation will provide an insight of the new functionality available in the latest release of the software. Publishing and managing spatial metadata using GeoNetwork opensource has become main stream in many Spatial Data Infrastructures. The project developers have made big progress on INSPIRE support, performance, scalability, usability, workflow, metadata profile plugins and catalogue services compliance. Examples of implementations of the software will be given, highlighting several national European SDI portals developed in the context of the INSPIRE directive as well as work for Environment Canada.

uk: вхід без авторизації

name: GeoNetwork Opensource - The Geospatial Metadata Catalogue


name: University of Münster Jones, Jim (Institute for Geoinformatics)

name: University of Münster Bartoschek, Thomas (Institute for Geoinformatics)

name: University of Münster Gerald Pape (Institute for Geoinformatics)

name: University of Münster Kray, Christian (Institute for Geoinformatics)

uk: Комп'ютерні науки

description: Exploring complex spatiotemporal data can be very challenging for non-experts. Recently, gestural interaction has emerged as a promising option, which has been successfully applied to various domains, including simple map control. In this paper, we investigate whether gestures can be used to enable non-experts to explore and understand complex spatiotemporal phenomena. In this case study we made use of large amounts of Linked Open Data about the deforestation of the Brazilian Amazon Rainforest and related ecological, economical and social factors. The results of our study indicate that people of all ages can easily learn gestures and successfully use them to explore the visualized and aggregated spatiotemporal data about the Brazilian Amazon Rainforest.

uk: вхід без авторизації

name: Gestural Interaction With Spatiotemporal Linked Open Data


uk: Комп'ютерні науки

description: In order to deliver rich user experience to user, features (attribute data and geometries) have to be sent to the client for mouse-over visual effects, synchronization between charts, tables and maps, and on-the-fly classifications. GeoJSON is one of the most popular encodings for the transfer of features for client-side map visualization. The performance of client visualizations depends on a number of factors: message size, client memory allocation, bandwidth, and the speed of the database back-end amongst the main ones. Large GeoJSON-encoded datasets can substantially slow down loading and stylization times, and also crash the browser when too many geometries are requested. A combination of techniques can be used to reduce the size of the data (polygon generalization, compression, etc). The choice of an open-source DBMS for geo-spatial applications used to be easy: PostGIS is powerful, well-supported, robust and fast RDBMS ? On the other hand, unstructured data, such as (Geo)JSON, may be better served by document-oriented DBMS such as Apache CouchDB. The performance of PostGIS and CouchDB in producing GeoJSON polygons with different combination of factors that are known to affect performance was tested: compression of GeoJSON (zip) to reduce transmission times, different levels of geometry generalization (reducing the number of vertices in transferred geometries), precision reduction (the reduction of numbers of decimal digits encoding coordinates), and the use of a topological JSON encoding of geometries (TopoJSON) to avoid redundancy of edges transferred. We present the results of a benchmark exercise testing the performance of an OpenLayers interface backed by a persistence layer implemented using PostGIS and CouchD. Test data were collected using an automated test application based on Selenium, which allowed to gather repeated observations for every combination of factors and build statistical models of performance. These statistical models help to pick the best combination of techniques and DBMS, and to gauge the relative contribution of every technique to the overall performance.

uk: вхід без авторизації

name: Getting The Best Performance For GeoJSON Map Visualizations: PostGIS Vs CouchDB Backend

name: Open Source Geospatial Foundation (OSGeo)


name: University of Nottingham Ye, Hao (Nottingham Geospatial Institute)

name: University of Nottingham Brown, Michael (Horizon Digital Economy Institute)

uk: Комп'ютерні науки

description: We will explore the barriers that affect the utilisation of GIS and opportunities to overcome these barriers. Using questionnaire and interview techniques we identified ways forward for future research and development to facilitate more widespread adoption and exploitation of GIS applications, and the importance of openness in this. Geographical Information System (GIS) applications have been existed since the early 1960s, but evidence suggests that adoption of GIS technologies still remains relatively low in many sectors. We will explore both the barriers that affect the utilisation of GIS and opportunities to overcome these barriers. As part of this exploration we performed a literature review, collected responses from quantitative questionnaire survey and interviewed a range of technical and domain experts. Having analysed and collated the results of these studies we have identified ways forward for future research and development to facilitate wider spread adoption and exploitation of GIS applications. Our final discussion focuses on the importance of open-source GIS software, open data and cloud computing as key mediators for the wider appropriation of GIS based solutions.

uk: вхід без авторизації

name: GIS For All: Exploring The Barriers And Opportunities For Underexploited GIS Applications


uk: Комп'ютерні науки

description: This talk will discuss several super kick-ass ways that JavaScript and the web have re-shaped GIS and are changing how we visualize, analyze and share geospatial data with each other and the world. GIS is dead? No, its not, and its coming to find you and spatially kick your ass with a big bag of JavaScript. The world changes fast (hello, Internet). Yet, our industry (map making in one form or another) is stuck, and has generally shown itself to be slow to react to new ideas and paradigms that grow rapidly in other spaces. But there is still hope! GIS is coming back, and its being re-tooled with lots of shiny new software and geo-weapons. Its going to make an assault on all of our previous notions of its old self. Of course this new and shiny GIS resembles its former self in many ways, it's also full many new ideas about how we experience maps and data on the web. As we witness a massive resurgence in JavaScript (hello D3 & node.js), and more emphasis placed on the web in general, we see that there are actually still large holes that should be filled the geo-spatial stack. New waves of JavaScript developers have, and will continue to fill these gaps. This talk will discuss several super kick-ass ways that JavaScript and the web have re-shaped GIS and are changing how we visualize, analyze and share geospatial data with each other and the world.

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name: GIS Is Not Dead, It's Coming For You And It's Been Drinking JavaScript


uk: Комп'ютерні науки

description: G3M (Glob3 mobile) is a new Framework developed from scratch by IGO Software using the know how acquired developing glob3 and the first version of glob3 mobile. G3M wants to be the reference framework for developing 3d GIS mobile solutions. G3M has been developed taking mobile-only issues into consideration (Performance, Usability, Fragmentation, etc...). In addition, using the same core we have developed a html5 version in order to run in standard browsers in a near future. At the moment, we have the following capabilities: Multiplatform: iOS Android HTML5 - WebGL Terrain support Efficient tiled-based planet rendering Raster support Vectorials support (Limited): geojson (bson) Markers Labelling 3D Models: Rendering and Blender plugin for exporting of any format Blender can read. Animations subsystem: Animated change of position, color, size, etc for 3d shapes, 3d-models, etc. Animated movement of Camera. Tasks handling subsystem: run tasks in background, periodical tasks, etc. Downloader subsystem download queue with priority per request. cancelable requests. Downloader cache (interchangeables databases using sqlite) Offline maps The used architecture is one of the key features of this project. The core is only developed in C++ and works in iOS platform. This code is translated to java in order to use in Android and webGL (GWT). Using well-known object oriented Design Patterns (Abstract factory, Builder, Template method, etc) we was able to create an extensible core system, that can be ported to new platforms with relative easy-to-implement native-implementation of few classes. The result is the possibility of build native applications in iOS, Android and webGL using the very same API. Now the library has been ready to release under a open source license

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name: Glob3 Mobile. A New Approach To Mobile GIS 3d


uk: Комп'ютерні науки

description: Monmouthpedia was the first Wikipedia project to embrace a whole townspecifically, the Welsh town of Monmouth (pron.: /ˈmɒnməθ/ MON-məth; Welsh: Trefynwy). The project aimed to cover every single notable place, person, artefact, plant, animal and other things in Monmouth in as many languages as possible, but with a special focus on Welsh. This was a different scale of wikipedia-project. The project was jointly funded by Monmouthshire County Council and Wikimedia UK, Monmouthshire County Council and it included free town wide Wi-Fi for the project. Monmouthpedia uses QRpedia codes, a type of bar code a smartphone can read through its camera (using one of the many free QR readers available) that takes you to a Wikipedia article in your language. QR codes are extremely useful, as physical signs have no way of displaying the same amount of information and in a potentially huge number of languages. Articles have coordinates (geotags) to allow a virtual tour of the town using Wikipedia's mobile apps (or the Wikipedia layer on Google Streetview) and are available in augmented reality software including Layar. Monmouthpedia may not use standard black and white QR codes, in order to differentiate between MonmouthpediA codes and other schemes and individual's codes. There are different kinds of QR codeplaques and labelsall put up with the permission of the council and building owner: GibraltarpediA is the first Wikipedia project to aspiresto bridge two continents. Like Monmouthpedia the project aims to cover every single notable place, person, artefact, plant and animal in Gibraltar in as many languages as possible. This is a large WikiProject; it's at least three times the size of MonmouthpediA. The area of interest includes the British Overseas Territory of Gibraltar, the Strait of Gibraltar, the Spanish municipalities along the coast of the Bay of Gibraltar, the northernmost coast of Morocco and Ceuta. This project also uses NFC technology in addition to QR codes The authors are currently working in Gibraltar to demonstrate geotagging in practise. The project uses open street map to keep track of its progress.

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name: How To Create A Geocoded Town - Monmouthpedia And Gibraltarpedia


uk: Комп'ютерні науки

description: The integrated Geospatial Urban Energy decision Support System (iGUESS) was conceived as a way to help urban planners explore renewable energy and energy savings potentials to make cities more sustainable and self sufficient. Models that calculate solar, wind, and geothermal energy potential can be complex to build and run, so we felt we could simplify the process by creating a web-based tool that a planner could run from their browser. To maximize interoperability with existing models and data sources, we decided to build the system using existing OGC standards and protocols. iGUESS is a web-based system for connecting data, modeling, and visualisation services distributed across the Internet. Users can leverage data and processing services offered via standard OGC protocols such as WMS, WFS, WCS, CSW, and WPS. iGUESS helps users match data with models, launch model runs, monitor progress of execution, and visualize computed results. iGUESS does not store data or host computation services, but instead relies on data and modeling web services provided elsewhere in the project, by our partners, and by third parties. Developing iGUESS has given us a better understanding of the strengths and weaknesses of a distributed modeling system based on OGC services, and some of the inherent limits of these protocols. The interface allows users to interact with services in real-time, using minimal caching, so it always presents an accurate reflection of what data and modeling services are available. This design has presented us with interesting challenges related to intermittent and unpredictable availability of distributed data and process services that live beyond the bounds of the system. The primary advantages of this distributed modeling system is its modularity and flexibility. Users can run models using input datasets they (or others) may have published for different purposes. Models can be upgraded and improved by their publishers without requiring users to install new software. Finally, running models via WPS can be easier than configuring a local desktop model, and the processing is offloaded onto a computer presumably more suited to handling large, complex calculations. Many of the specific challenges we faced have been related to the limitations of the WPS protocol. It is difficult to precisely specify inputs or describe outputs, and there is no mechanism for prioritzing or terminating a running process. The lack of process control is particularly relevant to the sorts of large, processor intensive models that iGUESS was designed to run. Also, very little of the data our partners need to use is actually available online, and they have encountered a wide range of logistical and institutional barriers to providing it themselves. Lastly, we are still trying to cope with issues related to exposing computationally expensive processes to the Internet. This talk will present a technical overview of the iGUESS system, how it works, alternate approaches we considered (distributed architecture vs. traditional desktop approach), and the lessons we learned building it (managing complexity and the risks of oversimplification). It will also explore some of the real world hurdles mentioned above, and will offer some ideas and insights into the type of applications that are best suited for the WPS protocol.

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name: iGUESS The Good, The Bad And The Ugly Of Developing A Distributed Modeling System For European Cities


uk: Комп'ютерні науки

description: The European Space Agency (ESA) with the launch of the GOCE satellite in 2009 made it possible to study the Earth's gravitational field and estimate the geoid with unprecedented accuracy and resolution on a global scale. In the framework of the GOCE mission a group of experts from Politecnico di Milano, led by Professor Fernando Sansò, is also involved in order to collect, process and distribute data. Access to GOCE data, through common procedures and standard, can bring significant improvement in many fields of Earth sciences: for this reason it was decided to distribute the data using standard web services as specified by OGC (Open Geospatial Consortium). In this work first results of the development of a WPS (Web Processing Service) for spatio-temporal exploration and exploitation of GOCE and GEMMA (GOCE Exploitation for Moho Modeling and Applications) data is presented. The download query can be made for both global data and local data; in the latter case data can be dynamically interpolated from the WPS on the area and at the resolution defined by the user, or evaluated in correspondence of a set of sparse points provided by user. The GOCE service is implemented with free and open source software, GRASS GIS and pyWPS for WPS service and OpenLayers for the web interface. Furthermore the development of WMS and WCS services is on going; a WFS service, built using MapServer and to be used for the data distribution, will be added soon to improve the ASCII Grid and GeoTIFF formats that are currently available and also a new interpolation algorit based on spherical harmonics will be added too. The service is continuously updated from the point of view of the available data, the calculation procedures and data distribution.

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name: Implementation Of Standard Web Services For GOCE Data Exploitation


uk: Комп'ютерні науки

description: ROGUE (Rapid Open Geospatial User-Driven Enterprise) is a 2-year project funded under the Joint Capability Technology Demonstration (JCTD) Program from the U.S. Department of Defense. It is scheduled to be completed in July 2014. Technical management is provided by the U.S. Army Corps of Engineers, with OpenGeo and LMN Solutions leading its technical implementation and the Pacific Disaster Center (PDC) serving in the role of project Transition Manager. The projects goal is to improve the abilities of the OpenGeo Suite to ingest, update, and distribute non-proprietary feature data in a distributed, collaborative, and occasionally disconnected environment and then transition it into an operational environment by the end of the project. The charter for the ROGUE JCTD is to enable collaboration on geospatial feature data for distributed organizations and teams. This is being accomplished through a community effort based on the OpenGeo Suite, GeoNode, and GeoGit. While GeoGit provides data producers with a conduit to collaboratively develop and share geographic data, the GeoNode software is also being enhanced to leverage this capability for the discovery, display and dissemination of the data. By integrating these capabilities with Pacific Disaster Centers DisasterAWARE platform, the DoD and mission partners are better able to plan, analyze, and collaborate using dynamic map data to support humanitarian and disaster response. PDCs DisasterAWARE system presently supports ArcGIS Server REST format, so another aspect of the project is to develop a prototype of the GeoServices REST 1.0 candidate standard (derived from the Esri GeoServices REST Specification Version 1.0) to deliver the content from the OpenGeo Suite to PDCs DisasterAWARE. This enables clients to ArcGIS Server REST services to consume map layers from the OpenGeo Suite via this new functionality. The ROGUE-enhanced OpenGeo suite will be integrated into PDC operations as well as its DisasterAWARE decision support application at the end of the project. This will greatly facilitate collaborative data development and management with key humanitarian assistance and disaster response stakeholder agencies to more effectively support disaster risk reduction activities around the globe.

uk: вхід без авторизації

name: Integrating Collaborative Data Collection And Versioning Into Open Source Tools For Disaster Relief.


uk: Комп'ютерні науки

description: A lot of data references some kind of location whether it is a place name, street name, address, postcode or some kind of coordinate. Because of this it is becoming clear that location provides an important data integration hub on the linked data web. This talk gives an introduction to linked data, and will focus on challenges around constructing linked data for geographic and spatial information. Examples will focus on work being done at Ordnance Survey and the wider UK Government. A lot of data references some kind of location whether it is a place name, street name, address, postcode or some kind of coordinate. Because of this it is becoming clear that location provides an important data integration hub on the linked data web. This talk gives an introduction to linked data, and will focus on challenges around constructing linked data for geographic and spatial information. Examples will focus on work being done at Ordnance Survey and the wider UK Government.

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name: Introduction To Location And Linked Data


Leaflet: Past, Present, Future

uk: Комп'ютерні науки

description: Leaflet, a JavaScript library for mobile-friendly interactive maps, has come a long way since its inception. The library started as a one-night hack and evolved over the next two years as a closed proprietary API, developed by one person, and then was finally rewritten from scratch as an open source library in 2011. Leaflet is now the most popular open source solution for publishing maps on the Web. Whats the story behind Leaflet? How did it became so successful so quickly despite strong competition and lack of features? This talk will be presented by its lead developer and will cover lessons learned, the current state of the project and future challenges.

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LIDAR In PostgreSQL With Pointcloud

uk: Комп'ютерні науки

description: How do you store massive point cloud data sets in a database for easy access, filtering and analysis? The new PointCloud extension for PostgreSQL allows LIDAR data to be loaded, filtered by spatial and attribute values, and analyzed via integration with PostGIS. We'll discuss the extension implementation, basics of loading data with PDAL, and how to use PointCloud with PostGIS to do onthefly LIDAR analysis inside the database.

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MapFish Framework

uk: Комп'ютерні науки

description: The MapFish framework allows to build rich Web GIS Applications in an easy and flexible way. It combines some of the best Open Source Tools in one framework: OpenLayers 2, ExtJS3 and GeoExt4 on the client side, and MapFish print, Ruby or Python modules (especially Papyrus based on Pyramid) on the server side. Besides the OGC-Standard web services, a MapFish protocol adapted to the efficient communication between Client and Server is available. On this basis, complex and high performance web mapping applications have been built. Among them, one MapFish-based project will be presented in more detail in order to show the power of the MapFish Framework: the c2cgeoportal is a complete WebGIS with large set of tools and configuration options. Since its beginning, the plug-in based architecture makes each application unique and adapted to the specific use case. The presentation gives a general overview of the MapFish Framework and demonstrates its possibilities with the c2cgeoportal implementation.

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uk: Комп'ютерні науки

description: Orfeo ToolBox is an open-source library developed by CNES in the frame of the Orfeo program since 2006, which aimed at preparing institutional and scientific users to the use of the Very High Resolution optical imagery delivered by the Pleiades satellites. It is written in C++ on top of ITK, a medical imagery toolkit, and relies on many other open-source libraries such as GDAL or OSSIM. The OTB aims at providing generic means of pre-processing and information extraction from optical satellites imagery. In this talk, we will focus on recent advances in the machine learning functionality allowing to use the full extent of OpenCV algorithms. Historically, supervised classification of satellite images with OTB mainly relies on libSVM. The Orfeo ToolBox provides tools to train the SVM algorithm from images and raster or vector training areas, to use a trained SVM algorithm to classify satellite images of arbitrary size in a multithreaded way, and to estimate the accuracy of the classification. The SVM algorithm has also been used for other applications such as change detection or object detection. But even if it is one of the most used function of the OTB, the supervised classification function did not offer a single alternative to the SVM algorithm. However, the open-source world offers plenty of implementations of state-of-the-art machine learning algorithms. For instance OpenCV, a computer vision C++ library distributed under the BSD licence, includes a statistical machine learning module that contains no less than height different algorithms (including SVM). We therefore created an API to represent a generic machine learning algorithm. This API can then be specialized to encapsulate a given algorithm implementation. The machine learning algorithm API assumes very few properties for such algorithms. A method has to be specialized to train the algorithm from a samples vector and a set of target labels or values, and another to predict labels or values from a samples vector. Thanks to templating, these methods handle both classification and regression. Two other methods are in charge of saving and loading back the parameters from training. File format for saving is left to the underlying implementation, and the load method is expected to return a success flag. This success flag is used in a factory pattern, designed to be able to seamlessly instantiate the appropriate machine learning algorithm specialization upon file reading. It is therefore not necessary to know which algorithms the trained parameters files refer to. This new set of classes has been embedded into a new OTB application. Its purpose is to train one of the machine learning algorithm from a set of images and GIS file describing training areas, and output the trained parameters file. Another application is in charge of reading back this file and applying the classification algorithm to a given image. With these two tools, it is very easy to train different algorithms against the same dataset, evaluate them with the help of another application which can compute confusion matrix and classification performances measurement so as to choose one or several best algorithm along with their parameters. The resulting classification maps could then be combined into a more robust one using yet another OTB application, using classes majority voting or Dempster-Shafer combination. Our perspectives for using and improving this new API are manyfold. First, we would like to investigate further the use of the regression mode. We also would like to investigate the performances of the new machine learning algorithms for other tasks achievable with OTB, such as object detection for instance. Last, we would like to evolve the API so as to export any confidence or quality indices an algorithm can output regarding its predictions. This would open the way to the implementation of new active learning tools.

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name: Machine Learning For Remote Sensing : Orfeo ToolBox Meets OpenCV


uk: Комп'ютерні науки

description: Tiling is currently the best solution to achieve high performance and throughput for serving map images. However, because tile images have to be prepared, tiling is often only used for relatively static data. The Dutch national facility for presenting governmental spatial plans, www.ruimtelijkeplannen.nl, is used intensively (app. 15.000 plans) and has high performance demands and therefore wanted to make use of tiling. Because plans often change and are added and deleted from the central database, a special solution was developed to manage the daily update of tiles. The presentation will concentrate on the solution to manage the daily update of tiles, the Tiling Manager. The Tiling Manager software queries the audit trail of plan updates, executes tiling tasks in collaboration with GeoWebCache and monitors progress. We had to deal with several challenges to realize the requirements, such as monitoring progress of tiling tasks in GeoWebCache, run-time generation of GeoWebCache configuration, optimizing WMS performance and assuring that the services will never present old tiles if new plans are available. In addition to the solutions to these challenges the presentation will show the technical architecture of the Tiling Manager.

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name: Managing update of tiles of dynamic data


name: Mapbender Team Emde, Astrid (WhereGroup)

uk: Комп'ютерні науки

description: Mapbender3 is a client framework for spatial data infrastructures. It provides web based interfaces for displaying, navigating and interacting with OGC compliant services. Mapbender3 has a modern and user-friendly administration web interface to do all the work without writing a single line of code. Mapbender3 helps you to set up a repository for your OWS Services and to create indivdual application for different user needs. The software is is based on the PHP framework Symfony2 and integrates OpenLayers, MapQuery and JQuery. The Mapbender3 framework provides authentication and authorization services, OWS Proxy functionality, management interfaces for user, group and service administration. In the presentation we will have a look at some Mapbender3 solutions and find out how powerful Mapbender3 is! You will see how easy it is to publish your own application.

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name: Mapbender3 - Create Your Own Geoportal Web Application And Service Repository


uk: Комп'ютерні науки

description: MapCache is a new member in the family of tile caching servers. It aims to be simple to install and configure (no need for the intermediate glue such as mod-python, mod-wsgi or fastcgi), to be (very) fast (written in C and running as a native module under apache or nginx, or as a standalone fastcgi instance ), and to be capable (services WMTS, googlemaps, virtualearth, KML, TMS, WMS). When acting as a WMS server, it will also respond to untiled requests, by merging its cached tiles vertically (multiple layers) and/or horizontally. Multiple cache backends are included, allowing tiles to be stored and retrieved from file based databases (sqlite, mbtiles, berkeley-db), memcached instances, or even directly from tiled TIFF files. Support of dimensions allows storing multiple versions of a tileset, and time based requests can be dynamically served by interpreting and reassembling entries matching the requested time interval. MapCache can also be used to transparently speedup existing WMS instances, by intercepting getmap requests that can be served by tiles, and proxying all other requests to the original WMS server. Along with an overview of MapCache's functionalities, this presentation will also address real-world usecases and recommended configurations.

uk: вхід без авторизації

name: MapCache: The Fast Tiling Server From The MapServer Project


Past, Present, & Future of MapProxy

uk: Комп'ютерні науки

description: More than three years ago MapProxy started as a small tile cache with the ability to serve regular WMS clients. MapProxy grew from that to a powerful and flexible proxy for maps. Features like the security API, the ability to reproject tiles, support for coverages from Shapefiles or PostGIS and the various tools are just a few things that make MapProxy to stand out. MapProxy is used in countless projects -- by federal or state agencies and institutions, by universities, students and hobbyists, by small, national and international companies -- all around the world. It is used to combine multiple WMS services to one, make WMS servers available in tiled clients or to restict access to georaphic boundaries. This presentation will show you the most important features that were added to MapProxy in the last years. All features will be explained with practical use cases. Topics: - Cascading WMS: combine multiple heterogeneous WMS services to one, with coverages and unified FeatureInfo - Tiling: create Google Maps/OpenStreetMap compatible tile services from WMS services that do not support the web mercator projection - Tiling: reproject tiles from web mercator to a local projection - Security: give users access to single layers, restricted to user-dependent polygons - Render server: directly integrate MapServer or Mapnik into MapProxy - Tools: calculate scales, estimate the number of tiles, read capabilities, re-seed areas, ... This presentation will also be about the future of MapProxy and the road to version 2.0.

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Mappy-ng Open Source

uk: Комп'ютерні науки

description: Mappy is an online mapping company based in France and fully-owned by Solocal Group (PagesJaunes). Mappy was the pioneer in online mapping in France, and holds a significant market share in France and Belgium (about 10 millions monthly users). The company has developed an home-made LBS platform since 1998. The mapping service delivers 100 millions tiles a day. At the beginning of 2012, Mappy decided to redesign its core mapping service to meet new business challenges. The company needed a more standard and open source solution. Developers and product managers have fallen in love with Mapnik (some for code and performance, others for the map display quality). The team made the decision to build the new mapping service around Mapnik and others open source tools like PostGIS. The project was challenging : we switched from a MSSqlServer database/home made mapping engine/Windows architecture to a postgis database/mapnik engine/Linux one. During the development, we've seen and appreciated the energy around Mapnik and we started to gradually dive into code and contribute to some features. This talk will present a feedback on the overhaul : the functional and technical challenges, the decision to contribute to Mapnik project, the release of this service, its performance and the future roadmap.

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