keywords:
GeoGit
Arbiter
replication
data sharing
humanitarian assistance
disaster response
MapLoom
GeoServer
GeoNode
security
KML
KML uploader
OpenGeo Suite

uk: Комп'ютерні науки

description: ROGUE (Rapid Open Geospatial User-Driven Enterprise) was a project funded under the Joint Capability Technology Demonstration (JCTD) Program from the U.S. Department of Defense. Boundless and LMN Solutions, LLC implemented the project, with the Pacific Disaster Center (PDC) serving in the role of project Transition Manager. The project's goal was 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. Under this project, PDC integrated the following technologies into its decision support system for emergency managers named DisasterAWARE:- GeoGit: Versioned replication of spatial data across multiple sites, supports disconnected editing and conflict resolution. - Arbiter: Android app for field data collection, syncs to GeoNode.- MapLoom: GeoNode GUI for spatial data editing and management. - KML Uploader: Functionality to upload KML for storage in PostGIS and served via GeoServer. - GeoServices REST (GSR): Extends GeoServer to publish data using the REST methodology of ArcGIS Server. This presentation will cover the integration of these components into DisasterAWARE, along with the security framework implemented for all components.

uk: вхід без авторизації

name: Integrating FOSS4G into an enterprise system for Disaster Management


Using QGIS server

Karl-Magnus Jönsson

type: Person

keywords:
QGIS
QGIS server
GIS platform
Case Studies
web map

cs: Informatika

de: Informatik

fi: tietojenkäsittelytiede

uk: Комп'ютерні науки

en: Computer Science

fr: Informatique

da: Datalogi

es: Ciencias de la Computación

nl: Informatica

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

description: Kristianstad municipality in Sweden has since 2013 been using QGIS and QGIS Server as a base in our GIS platform. Our goal is to have a user friendly, yet powerful, set of applications from server via desktop and web to mobile applications. All based on open source. QGIS and QGIS server has several functions that makes it easier for both the users and administrators of the systems. That could be saving styles and attrib-ute forms to the database, styling and publish WMS and WFS directly from the desktop QGIS application. With a combination of different types of caching mechanisms we achieve fast and flexible services for our web applications. These open source projects, sMap and sMap-mobile, have also been designed to be fast, flexible and user friendly.

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

type: Organization

name: Open Source Geospatial Foundation (OSGeo)

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


keywords: GeoTools GeoServer Raster WMS WCS ColorMap GDAL RasterAlgebra

uk: Комп'ютерні науки

description: The purpose of this presentation is, on a side, to dissect the developments performed during last year as far as raster data support in GeoTools and GeoServer is concerned, while on the other side to introduce and discuss the future development directions.Advancements and improvements for the management of raster mosaic and pyramids will be introduced and analyzed, as well as the latest developments for the exploitation of GDAL raster sources.Extensive details will be provided on the latest updates for the management of multidimensional raster data used in the Remote Sensing and MetOc fields.The presentation will also introduce and provide updates on the JAITools and ImageIO-Ext projects. JAITools provides a number of new raster data analysis operators, including powerful and fast raster algebra support. ImageIO-Ext bridges the gap across the Java world and native raster data access libraries providing high performance access to GDAL, Kakadu and other libraries.The presentation will wrap up providing an overview of unresolved issues and challenges that still need to be addressed, suggesting tips and workarounds allowing to leverage the full potential of the systems.

uk: вхід без авторизації

name: Raster Data In GeoServer And GeoTools: Achievements, Issues And Future Developments


keywords:
National Park Service
OpenStreetMap
Crowdsourcing
VGI
TileMill
PostGIS
Government
Parks
Contributors
Data
VGI

uk: Комп'ютерні науки

description: The National Park Service has many well-known sites, but many parks do not have the GIS resources to maintain their map data. The Places project aims to solve this problem by empowering non-technical park employees and the public with the ability to make changes to the map. The Places project uses custom versions of existing OpenStreetMap tools for data collection and uses them to create an up-to-date base map for National Park web sites. This presentation will discuss how we plan to motivate mappers, how we deal with data validation, and how we plan to continue working with OpenStreetMap.

uk: вхід без авторизації

name: Using OpenStreetMap Infrastructure to Collect Data for our National Parks


Implementing change in OpenStreetMap

keywords:
communication
community management
open-source stewardship

uk: Комп'ютерні науки

description: In 2013, I was involved in two substantial technical changes to OpenStreetMap: a new default editor and a redesign of the website. Because OpenStreetMap is a collaborative project, these were as much social as technical efforts. This talk will explore the social dynamics of collaborative open source projects and the techniques that helped us successfully implement technical change in a social environment that by nature tends to be change averse.

uk: вхід без авторизації


GIS in Node.js

keywords: GIS geospatial node.js JavaScript

uk: Комп'ютерні науки

description: An overview or GIS tools in server side JavaScript covering turf, proj4js, topojson, mbtiles and integration with Node.js idea like streams.

uk: вхід без авторизації


keywords:
storytelling
javascript
interaction
data visualization

uk: Комп'ютерні науки

description: Maps and stories go together like two peas in a pod. Why is that and how do we take advantage of it? Through my work at CartoDB, I have been able to think deeply about the role of storytelling for today's map makers. Here, I will talk about the insights we have gained through teaching CartoDB users, building libraries such as Torque and Odyssey.js, and creating innovative maps online. Some of my maps have included FOSS4G award winners (NYCHenge and PLUTO Data Tour) as well as dozens of unique and interesting experiments to combine interaction and multimedia with maps or trying to find the limits of what we call a map. If we plan to keep mapping relevant and exciting, it is important that we keep finding the exciting new ways to bend technology to engage people. The map has an interesting future over the coming years and here I will talk about some of the ways we should expect it to go and what it means for us as geospatial software developers.

uk: вхід без авторизації

name: How to tell stories and engage an audience with maps


keywords:
pgRouting
PostGIS
OpenLayers3
Sutainable development
transportation
use-case

uk: Комп'ютерні науки

description: Sustainable transportation is a nice idea but can be hard to apply in real life to your daily commute to work or school. For many it involves multiple transportation modes and it can be a challenge to combine the time tables from multiple sources in order to plan the most efficient route. We took the challenge and worked with stakeholders from the Saguenay region to build a portal that provides a simple yet really optimal way to get around in both urban and rural areas be it by bus, bike, share taxi and even carpooling or by combining multiple modes in order to promote sustainable transport. The system built on pgRouting, PostGIS, Django and OpenLayers3 allows users to register offers or search for the best available match in existing offers, comparing and combining as well with city buses and all your other favorite transportation options. It is a solution that will help and inspire city planners or city transport organizations to bring all their transportation systems together to get people moving the right way.

uk: вхід без авторизації

name: A Complete Multi-Modal Carpooling and Route Planning Solution


keywords:
opentripplanner
osm
ride sharing
routing
java
java spring
http
api

uk: Комп'ютерні науки

description: OpenTripPlanner is an open source application for building multi-modal itineraries using OpenStreetMap data about walking and driving routes and General Transit Feed Specification (GTFS) data for public transit data. With some creative adjustments, OpenTripPlanner can also be used to generate itineraries for ride sharing based on a pool of existing rides.This talk will demonstrate taking advantage of OpenTripPlanner's flexibility in this fashion. The example of repurposing OpenTripPlanner will serve as the basis for a more general discussion of ways that functionality relating to geospatial data can be reused in unanticipated ways.

uk: вхід без авторизації

name: Repurposing OpenTripPlanner for Ride Sharing


keywords:
pgRouting
shortest path
PostGIS
networks
routing

uk: Комп'ютерні науки

description: pgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality.This presentation will show the inside and current state of the pgRouting development, from its wide range of shortest path search algorithms to driving distance calculation or "Traveling Sales Person" (TSP) optimization. Additionally we will give a brief outlook and introduction of upcoming new features like the Ê"Vehicle Routing Problem" (VRP) solver, and what we have in mind for future releases.We will explain the shortest path search in real road networks and how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem.

uk: вхід без авторизації

name: Shortest Path search in your Database and more with pgRouting


keywords:
Weather
Disaster Response
Situational Awareness
PostGIS
OpenLayers
Qooxdoo
Flot
Mapping

uk: Комп'ютерні науки

description: Weather data is a critical element in the decision making process for a vast number of entities and its timely and accurate portrayal is essential. The U.S. National Weather Service has utilized a combination of Open Source projects including: OpenLayers, Qooxdoo, PostGIS and Flot among others to create a mash-up called the Enhanced Data Display or EDD (preview.weather.gov/edd) to promote the development of a Weather Ready Nation. The EDD provides a platform to quickly communicate past, current and future weather conditions. What happens over the next couple of hours to a week dictates the agenda of everything from strategic resource placement to what to wear to work. More often than not, the weather forecast is not binary - there is always some probabilistic component that results from the inherent chaos of a 4-D fluid wrapped around a spinning sphere. Luckily, the EDD makes use of a variety of techniques that leverage Open Source technologies to present forecasts in both deterministic and probabilistic forms. The EDD contains many visual displays that refine bulky meteorological datasets into palatable forms. Whether you are looking to see what hazards you may face along a travel route or trying to find a heat map of how many people will be impacted by a tornado warning, the EDD can display this quickly. Finally, the ability to combine EDD layers with your own data makes this an extremely powerful application. EDD is a good example of how leveraging Open Source resources can result in an exquisite product.

uk: вхід без авторизації

name: An Open Source Approach to Communicating Weather Risks


keywords:
government
open source
openstreetmap
osm
open data

uk: Комп'ютерні науки

description: OpenStreetMap (OSM) is now TriMet's standard source for routable base map data. TriMet utilizes OSM for internal systems and applications that necessitate a routable base map including, but not limited to: Computer-Aided Dispatch/Automatic Vehicle Location (CAD/AVL) system; Call Center and Field Trip applications; LIFT paratransit mobile data terminals (MDTs); OpenTripPlanner, an open source, multimodal trip planner; and fixed route scheduling system for on-street service.TriMet is now a committed, contributing member of the OSM community. Working with the community and local jurisdictions is a standard business practice supported with a full-time employee (FTE) that is dedicated to OSM maintenance and associated datasets in the seven counties area. This effort sustains the increasing number of systems in the agency that require routable networks, and it supports seamless multi-agency trip planning and analysis in the region.This presentation will include:¥ Emerging technologies on the market that require a seamless routable network, and why OSM is an obvious solution to fulfill new system requirements¥ TriMet's OSM Improvement Projects for the seven county regional area in Portland in support of vehicle, walking, biking and transit routing in the four county metro area¥ The business justification for a dedicated FTE in support of continued maintenance of OSM¥ The financial support for this position which demonstrates the recognition of OSM's importance from both an agency and regional perspective.¥ Benefits of collaboration between the OSM community and government¥ Facilitation of progress in this area with open data policies, data portals, and enhanced software tools

uk: вхід без авторизації

name: Government as a Contributing Member of the OpenStreetMap (OSM) Community


The Toolmaker’s Guide

keywords:
D3
Data Visualization
GIS
Javascript

uk: Комп'ютерні науки

description: Opening Keynote, FOSS4G 2014, Portland, Oregon

uk: вхід без авторизації


How Simplicity Will Save GIS

keywords: Leaflet GIS Javascript

uk: Комп'ютерні науки

description: It's 2014 — we have consumer robots and electric cars, private spacecraft, planet colonization projects, and the Higgs Boson is confirmed, but GIS software is still a mess. You might be able to make sense of it all if you're a GIS specialist with an academic background, but other creative individuals — designers, developers, tinkerers of all kinds, each with a vision and desire to create meaningful and beautiful maps and visualizations — are constantly losing battles against bloat, clutter, and complexity.How do we reverse this GIS entropy? What does it take to turn complex technology into something that anyone can use and contribute to? An attempt to answer by the creator of Leaflet, a simple JS library that changed the world of online maps forever.

uk: вхід без авторизації


keywords: education certification openness

uk: Комп'ютерні науки

description: This panel discussion will explore efforts to embed openness into geospatial education, including courses on open geospatial solutions as well as innovative teaching methods that help expand the audience who can engage with open geospatial systems such as MOOCs and open courseware.Panelists include Robert Cheetham (Azavea), Sara Safavi (RackSpace), Nuala Cowan (George Washington University), and Calvin Metcalf (AppGeo).

uk: вхід без авторизації

name: Exploring Openness in Geospatial Education


Making Space for Diverse Mappers

uk: Комп'ютерні науки

description: Diverse communities provide the space for different points of view to find voice. Historically open source communities have balanced the contribution of various perspectives and expertises. We are often industry examples of remote cultural collaboration. But the nature of collaboration is changing, where diversity must stretch further across geographies to foster a wider scope of difference. One that includes the other sides of privileged space. In this session, I will present on why ideological diversity can be at the forefront of community structures by introducing three personal cornerstones - Mapzen, Maptime, and GeoNYC. This interactive session highlights how embracing a range of cultural perspectives and technical expertise allows communities to create the unexpected. We'll review success and challenges while performing our own mini GeoNYC complete with 3-word introductions and mapping fun.

uk: вхід без авторизації


keywords:
MODIS
satellite
time series
infectious diseases
ecological indicators

uk: Комп'ютерні науки

description: Over the past decades, disease vectors like the Asian tiger mosquito (Aedes albopictus) transmitting Dengue Fever and other infections and the Spotted Wing Drosophila (Drosophila suzukii), an economically important fruit crop pest, have continued to globally expand. In Europe, the already invaded areas comprise the Mediterranean basin while the spread to the north of the Alps is ongoing. Likewise many regions in the world face an increasing risk for new or re-emerging vector-borne diseases transmitted by mosquitoes. Given this spread, there is an urgent need to gain better understanding of spatio-temporal patterns in disease transmission and agro-pest diffusion. The life cycles of mosquitoes and fruit flies depend on climatic and environmental conditions which can be observed using satellite sensors. We identified the potential distribution areas linked to the current climatic suitability through the evaluation of remotely sensed land surface temperature (LST) data for Northern Italy and Switzerland. For this we processed with GRASS GIS 7 more than a decade of daily MODIS (Moderate Resolution Imaging Spectroradiometer) satellite sensor data at continental scale (250 m resolution, four maps per day) as an alternative to meteorological data. Since LST data often contain gaps due to cloud cover, these gaps were filled by reconstructing any missing LST values before environmental indicators have been derived from these data. From the gap-filled LST data (in the multi terabyte range) we derived threshold maps like January mean temperatures as a threshold to estimate the survival chances of overwintering diapausing eggs, whereas the annual mean temperature can be used as a threshold to estimate population stability. We derived growing degree days (GDD) as well by temporal aggregation. The approach can be applied to continents other than Europe, too. The resulting potential distribution maps can be leveraged to assess the spread of disease vectors and agro-pests in order to assist decision makers and public health authorities to develop surveillance plans and vector control.

uk: вхід без авторизації

name: Assessing the distribution of disease vectors and fruit crop pests from satellite in GRASS GIS 7


keywords:
UrbanSim
urban planning
simulation

uk: Комп'ютерні науки

description: <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style>UrbanSim is an open source software platform for agent-based geospatial simulation, focusing on the spatial dynamics of urban development. å Since its creation UrbanSim has been used in the official planningå processes for at least a dozen regional governments which were usedå to help allocate billions of dollars in regional investments in transportationå infrastructure.UrbanSim was first conceptualized in the late 1990's and implementedå using the Java programming language. The technology landscape forå scientific computing changed dramatically after that, and by 2005å UrbanSim was converted to Python, making heavy use of Numpy to vectorizeå calculations. By 2014, it became clear that UrbanSim should be reimplementedå again to take advantage of significant advances in the libraries availableå for scientific Python. The new version of UrbanSim, called UrbanSim2,å makes extensive use of community-supported scientific Python librarieså to reduce the amount of domain-specific customized code to a minimum.UrbanSim is an excellent case study for the power of leveraging thework of the scientific programming community as scaffolding for adomain-specific application, as opposed to building an extensive customizedå solution in each domain. Additionally, the open and participatoryå nature inherent in nearly all of the open source projects describedå here has been particularly embraced by governments, who are oftenå reticent to support large commercial institutions and balkanized andå private data formats and software tools.<style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}-->UrbanSim is an open source software platform for agent-based geospatialå simulation, focusing on the spatial dynamics of urban development. å Since its creation UrbanSim has been used in the official planningå processes for at least a dozen regional governments which were usedå to help allocate billions of dollars in regional investments in transportationå infrastructure.UrbanSim was first conceptualized in the late 1990's and implementedå using the Java programming language. The technology landscape forå scientific computing changed dramatically after that, and by 2005å UrbanSim was converted to Python, making heavy use of Numpy to vectorizeå calculations. By 2014, it became clear that UrbanSim should be reimplementedå again to take advantage of significant advances in the libraries availableå for scientific Python. The new version of UrbanSim, called UrbanSim2,å makes extensive use of community-supported scientific Python librarieså to reduce the amount of domain-specific customized code to a minimum.UrbanSim is an excellent case study for the power of leveraging thework of the scientific programming community as scaffolding for adomain-specific application, as opposed to building an extensive customizedå solution in each domain. Additionally, the open and participatoryå nature inherent in nearly all of the open source projects describedå here has been particularly embraced by governments, who are oftenå reticent to support large commercial institutions and balkanized andå private data formats and software tools.--></style>

uk: вхід без авторизації

name: UrbanSim2: Simulating the Connected Metropolis


keywords:
GeoScript
JVM
GeoTools Library

uk: Комп'ютерні науки

description: GeoScript adds spatial capabilities to dynamic scripting languages that run on the JVM. With implementations in Python, JavaScript, Scala, and Groovy, GeoScript provides an interface to the powerful data access, processing and rendering functionality of the GeoTools library.GeoScript provides concise and simple apis that allow developers to perform tasks quickly making it a great tool for the day to day data juggling that comes with geopspatial data. This talk will focus mainly on real world examples that showcase the power of the library.Come check this talk out if you are interested in learning about a new tool to add to your geospatial hacking toolbox. Maybe you have tried to use GeoTools but find it too difficult and complex to use. Or perhaps your java skills are not where you would like them to be. If that is the case this talk, and GeoScript, might be just what you are looking for.

uk: вхід без авторизації

name: GeoScript - A Geospatial Swiss Army Knife


Community Health Mapping

keywords:
Case study
public health
data collection
visualization
community
applied

uk: Комп'ютерні науки

description: This talk will cover a FOSS4G case study in which a workflow was implemented in several minority public health organizations in 2013. The three organizations were: 1) the Urban Indian Health Institute (Seattle, WA), 2) Papa Ola Lokahi (Honolulu, HI) and 3) The Nature Conservancy of Hawaii (Honolulu, HI). The end users were not GIS professionals but public health staff. Such community based public health organizations do not typically have dedicated GIS staff or budgets for GIS. However, they have each identified mapping needs. The overarching goals of the project were to demonstrate that FOSS4G tools could be effective in minority public health applications, and that they could be used by non-GIS public health staff. Therefore, a focus was placed on identifying the most intuitive and low cost solution meeting their needs.The workflow started with field data collection and included spatial analysis and online data presentation. Field data collection was performed using smart phones and tablets that the end users already owned. Analysis was done via QGIS and final data presentation was done via GIS Cloud. Training sessions were conducted and support was provided throughout the year. However, each organization was able to use the tools with very little follow up support. Each project produced good results, and each is planning on continuing with additional projects in 2014. The workflow will be introduced and results of the three case studies shared.This work was funded by the National Library of Medicine's Division of Specialized Information Services via their Outreach and Special Populations Branch.

uk: вхід без авторизації


keywords:
Big data
time series
MODIS
GDAL
HDF
visualization
Storage Area Network
mobile app

uk: Комп'ютерні науки

description: Description:We describe a system that transforms sequences of MODIS images covering the entire Earth into time-optimized data cubes to provide rapid access to time series data for various applications.Abstract:Satellite time series data are key to global change monitoring related to climate and land cover change. Various research and operational applications such as crop monitoring and fire history analysis rely on rapid access to extended, hyper-temporal time series data. However, converting large volumes of spatial data into time series and storing it efficiently is a challenging task. In order to solve this Big Data problem, CSIR has developed a system which is capable of automated downloading and processing of several terabytes of MODIS data into time-optimized "data cubes." This time series data is instantly accessible via a variety of applications, including a mobile app that analyzes and displays 14 years of vegetation activity and fire time series data for any location in the world. In this presentation we will describe the implementation of this system on a high-performance Storage Area Network (SAN) using open source software including GDAL and HDF5. We discuss how to optimally store time series data within HDF cubes, the hardware requirements of working with data at this scale as well as several challenges encountered. These include writing high-performance processing code, updating data cubes efficiently and working with HDF data in a multi-threaded environment. We conclude by showing visualizations of our vegetation and burned area time series data in QGIS, web apps, and mobile apps.

uk: вхід без авторизації

name: "Fast Big Data?" A High-Performance System for Creating Global Satellite Image Time Series


A jumpstart for your mobile map app

keywords: mobile cordova phonegap leaflet

uk: Комп'ютерні науки

description: Would you like to get started programming mobile mapping applications? There's a lot to keep in mind: a responsive layout, a mapping framework, positioning of controls and buttons, offline caching of tiles, and finally compiling it all into a mobile app.This presentation walks you through some problems and solutions, culminating in MobileMapStarter. Techniques discussed include jQuery Mobile, Leaflet, and PhoneGap/Cordova.

uk: вхід без авторизації


keywords: vector raster maps GPU OpenGL WebGL TileMill TM2 Mapbox mobile OpenStreetMap

uk: Комп'ютерні науки

description: Rendering maps from vector data is the next wave in custom cartography, and nowhere is this more important than on mobile devices. Modern mobile devices have high-powered GPUs for hardware-accelerated rendering and a multitude of sensors for environmental input, but also need to be keenly aware of network bandwidth constraints and have the ability to go offline. Mapbox is working on a new suite of mobile tools that render constantly up-to-date vector OpenStreetMap data into maps on the device. These maps can be customized completely client-side and even tap into ambient sensors such as GPS, compass, and pedometer. This session will show what's possible with this new open source toolkit, including client-side map style customization and influencing the user experience with sensor inputs, and will talk about high-level design goals of the tools and where they are headed next.

uk: вхід без авторизації

name: Mobile vector map rendering with Mapbox tools


keywords:
GeoTrellis Transit
GTFS
Transit Data
Travel Sheds
Raster
Graph

uk: Комп'ютерні науки

description: General Transit Feed Specification (GTFS) data is the open standard for representing transit systems in space and time. While developing an open source planning application for public transit agencies, it became clear that processing speed was the primary impediment to calculating transit coverage indicators within a reasonable time. At a glance, GTFS is just a set of simple CSV files organized relationally with key fields. But transit systems are far more complex than just spatial data for routes and stops. They need to be able to model spatial-temporal relationships embodied in transit schedules as well as semi-cyclical and shifting schedule patterns. Additionally, the specification is flexible enough to represent many different approaches to operating transit systems and the same system attributes can often be represented in multiple ways.While some transit system metrics are fairly straightforward to compute, certain public transit system metrics are best modeled as "travel shed" represented by raster coverages or isolines derived from them. The GeoTrellis Transit project is an extension of the open source GeoTrellis framework and was created to calculate travel shed rasters using GTFS and OpenStreetMap data. GeoTrellis Transit accomplishes this by creating a time-dependant graph structure that can rapidly perform shortest path queries at a given time of day, based on the public transit schedule.The challenge in developing GeoTrellis Transit involved designing a time-dependent graph structure that contains information about how the nodes connect at any particular moment in time during traversal. Shortest path algorithms on time-dependant graphs need to take into account arrival times at any given node, as well as wait times until an edge becomes available. This makes fast calculation of shortest path trees on time-dependant graphs difficult, which GeoTrellis Transit optimizes using a novel data structure to represent the graph.This presentation will introduce the GTFS standard and identify where difficulties may arise, especially for large systems. It will also describe how GTFS, OpenStreetMap and GeoTrellis Transit can be combined to build a fast time-dependant graph structure that can then be used to create time-based shortest path trees and travel shed rasters.

uk: вхід без авторизації

name: Fast Travel Sheds using GTFS Data in GeoTrellis Transit


CS-Map - coordinate system libraries

keywords: projections cartographic geodetic

uk: Комп'ютерні науки

description: CS-Map is often used as a reference but has not been as widely adopted as proj4. This presentation describes how CS-Map has been used in a distributed geospatial database for big data.The presentation describes the benefits of CS-Map, in particular its whole earth support and also it disadvantages, primarily it is process locked.The aim of the presentation is to demonstrate that having more than one coordinate system library is a good thing and to encourage development of coordinate system libraries.

uk: вхід без авторизації


keywords: Benchmark JSTS JTS JavaScript Java browser geoprocessing

uk: Комп'ютерні науки

description: Are web browsers ready to handle a larger portion of the processing load in our GIS applications? Web-based GIS and mapping applications are traditionally based on a client-server model, where most of the data processing work is placed on the server. This study examines what happens when that processing load is shifted to the client, using JavaScript to process geospatial data with GIS operations directly in the browser.The time needed to complete common GIS tasks using the JavaScript library JSTS Topology Suite were benchmarked in popular web browsers including Chrome, Firefox, Internet Explorer, Opera, and Safari. The GIS operations buffer, union, and Voronoi diagram were tested with a suite of points, lines, and polygons ranging in size from 10 up to 100,000 vertices. The testing platforms included Windows, Mac, and Linux desktops and laptops.The same geoprocessing tests were conducted on a cloud-based Linux server using the Java library JTS Topology Suite as a performance comparison of server-side processing applications. The various testing configurations were then analyzed to see how browsers stack up to the performance of traditional client-server applications.

uk: вхід без авторизації

name: Client-side versus server-side geoprocessing: Benchmarking the performance of web browsers processing geospatial data using common GIS operations.


keywords:
Leaflet
d3.js
utfGrid
tilemill
data visualization
liquid fast

uk: Комп'ютерні науки

description: I will discuss and demo how I use Leaflet, UtfGrids, and D3.js in concert to view and interact with large geographic data on the web. This presentation will not be on d3.js, but rather how to get geographic data from a map to a d3.js chart. I will illustrate why this stack is liquid fast and massively scalable and discus in some detail what a UtfGrid is, how it works and how to create and server them to the web. The context of my work:I am currently working on an open source project called OpenQuake. As a part of this project we are developing a platform which serves as a hub for integrated risk assessment. It allows users to combine seismic hazard, risk and social vulnerability in many different ways in order to obtain output for science, risk assessment, risk awareness and risk management.All my work is available on Github and links will be provided to all demonstrated material.

uk: вхід без авторизації

name: Leaflet + UtfGrids + d3.js = liquid fast, massively scalable interactive web map & data visualization

name: Open Source Geospatial Foundation (OSGeo)


Scaling for NYC while Tracking Plows

keywords: PlowNYC NYC GeoServer GeoWebCache

uk: Комп'ютерні науки

description: In the winter of 2012, NYC's Department of Information Technology and Telecommunications (DoITT) was tasked with developing an application to track snow vehicle operations. The DoITT GIS team was given a mandate to have the application in production before the end of the winter. Due to the aggressive schedule, our approach was to get something up as quickly as possible while enhancing and improving over time. Beyond the schedule constraint, additional challenges were minimal requirements and decision-making by committee with no clear business owner.Three major tasks were required to complete the project: scale the existing infrastructure to better handle the expected demand, determine an approach for communicating the information to the public in a legible and understandable way, and develop and test the application. The team quickly undertook a multi-pronged approach to complete these tasks within a roughly two-month timeframe.Of all the impossible tasks, scaling the infrastructure was the most challenging and difficult. High-profile application launches in NYC that come with press announcements tend to garner traditional and social media coverage and with that national exposure and demand. And although the application would have been a perfect candidate to deploy in the cloud, that was not an option. Additional servers were added and the application was optimized and tuned for performance. To do so, multiple-layers of caching were employed including GeoWebCache and a Content Delivery Network. In terms of visualizing the data, we conducted a quick review of existing public-facing applications. There were not many examples at the time with most cities choosing to show 'breadcrumbs' of a plow's path. We felt this method was not an effective way of conveying plow coverage; our objective being, to show which streets had been plowed and not to show where a plow had been at specific time. As such, we decided on visualizing the data by the time a street was last plowed. Five time-buckets were established and the street segments were color-coded based on the last GPS ping received on the segment. Every 15 minutes an ETL pulls the GPS data and renders tiles using GeoServer and GeoWebCache.The application, PlowNYC, was developed using open source and commercial software and custom code. These include OpenLayers, Geoserver, GeoWebCache, GeoTools and Oracle. Since its release, the application has been enhanced to handle greater traffic, support mobile clients and to simplify the interface. The presentation will cover these aspects of the project.

uk: вхід без авторизації


keywords:
humanitarian emergency
resilience
risk reduction
geonode
django

uk: Комп'ютерні науки

description: GeoNode is a web-based application and platform for developing geospatial information systems (GIS) and for deploying spatial data infrastructures (SDI).The World Bank, the European Commission and the UN World Food Programme are among the major contributors and sustainers of the GeoNode project and they are using it for spatial data sharing and management projects.Being extremely active in the field of Humanitarian Crisis and Risk Reduction they have deployed custom GeoNode instances to support risk reduction and post crisis need assessment.During this talk three customized GeoNode instances will be presented, focusing the attention on their technology, usage for emergency preparedness and response, their federation and the added value provided by Open Source technologies for geospatial data sharing.

uk: вхід без авторизації

name: GeoNode for Humanitarian Crisis and Risk Reduction


keywords:
Disaster Response
MongoDB
NodeJS
Leaflet
Google Glass

uk: Комп'ютерні науки

description: The United States Government has a history of developing applications using legacy systems and continuing to use brittle software. This approach has managed to minimize data collection, sharing and use of open standards. With this in mind NGA has several groups focused on a rapid, innovative, and open approaches to application development. One of the recent applications developed in this fashion is the Mobile Analytic GEOINT Environment (MAGE), which evolved from earlier applications that were used for Disaster Response as well as various special events. Each of these earlier applications had their own strengths and weaknesses that were factored in during the development of MAGE. MAGE is built on an open source stack with a mobile and html5 application designed for geospatial data collection, imagery sharing, tracking, and communication. It is designed to be a lightweight, fully portable software stack that can be placed in front or behind firewalls with ease. It is fully customizable to a wide variety of mission needs so administrators can easily change the data collection parameters. MAGE is fully service enabled allowing easy access to the data via REST requests and returns multiple formats including GeoJSON, KML, and Shapefile to ensure ease of access and sharing. The app has also been ported to Google Glass for field collection and enhanced visualization.

uk: вхід без авторизації

name: The Development and Evolution of an open source mapping application within the USG <- Now with More Google Glass


Getting Started with OpenLayers 3

keywords: JavaScript web mapping Canvas WebGL vector raster

uk: Комп'ютерні науки

description: OpenLayers 3 is here! Now it's time to dive in and get mapping. Join us for an overview of OL3 from a user's perspective. We'll cover common use cases and cool features of the library you might not have heard about. Our goal in this presentation is to get you comfortable with the OpenLayers 3 style of mapping - providing an introduction to raster and vector basics, discussing tips for integration with other JavaScript libraries, and exposing you to the build tools so you can choose just the functionality you need for your mapping application.

uk: вхід без авторизації


Vector tiles for fast custom maps

keywords:
vector tiles
tilemill2
tm2
mapbox
rendering
maps

uk: Комп'ютерні науки

description: Vector tiles are becoming a common solution for fast clientside rendering of spatial data in both browsers and mobile devices. With the recent release of TileMill 2 Mapbox has made it easier to design and render vector tiles. This talk will cover the open source technology under the hood in TileMill 2 as well as other available tools. Also discussed will be the status of an emerging specification for vector tiles and recent advances in the format.

uk: вхід без авторизації


keywords: Node.js openlayers leaflet jsts topojson postgis couchdb

uk: Комп'ютерні науки

description: This talk will introduce the Tilez project, which provides aNode.js-based realisation of a Tile Map Service tiles in both GeoJSON andTopoJSON formats. This formats provide a seamless and highly performant usermapping experience in both OpenLayers and Leaflet.The key to fast display of vector geometries in Tilezz lies in the use oftiles, which leverage both local and server-side caching. Whilst linear features lend themselves easily to tiling, polygons have traditionally represented more of a challenge.Tilez provides further efficiencies by using TopoJSON as a transport formatbetween the server and the client. Tilez implements all these improvements to support web-based vector tiling, delivering good performance under heavy load through Node,js and CouchDB-based caching, and efficient transport through TopoJSON. This talk will cover Tilez and the practical aspects of its implementation together with use cases from the Australian Urban Research Infrastructure Network (AURIN - www.aurin.org.au).

uk: вхід без авторизації

name: Tilez: serving seamless polygons in the browser with TopoJSON and Node.js


OpenLayers 3: a unique mapping library

keywords: web-mapping OpenLayers JavaScript HTML5

uk: Комп'ютерні науки

description: We've rewritten OpenLayers from the ground up with the goal of offering a powerful, high-performance library leveraging the latest in web technologies. This talk will present the latest advances of the library, focusing on aspects that make OpenLayers 3 stand out. OpenLayers 3, for example, uses technologies, techniques and algorithms that enable high-quality and high-performance vector rendering. Come learn about the optimizations and techniques OpenLayers 3 uses internally, and how you can leverage them in your next web-mapping applications.

uk: вхід без авторизації


GIS in the Browser - The Good Parts

keywords: javascript html5 geoprocessing

uk: Комп'ютерні науки

description: Long gone (hopefully) are the days of replicating the "professionals only" desktop GIS interface in a browser. However, with modern browsers, HTML5 APIs, and increased efficiency of javascript engines it is possible to performantly replicate GIS functionality in a purely client-side browser application. Moderately complex geoprocessing, persistent client-side storage and simple to complex data visualization are all possible now. We walk through the underlying technology and demonstrate the practical use of it in an open-source sample application. Technologies covered include IndexedDB, WebStorage, Workers, Strongly Typed Arrays and Canvas. Some attention will also be paid to performance limitations, browser support and polyfills for older browsers.

uk: вхід без авторизації


keywords:
business development
management
innovation

uk: Комп'ютерні науки

description: Vizzuality went from a data communications consulting company to the creator of one of today's most popular online mapping frameworks, CartoDB. Four years ago, we recognized a major problem in open source geospatial tools, they were still prohibitively difficult to use to creating dynamic, interactive, and beautiful online maps. That was when we decided to build CartoDB, a mix of existing open source software such as PostGIS and our own new code. Each account on CartoDB represents a new PostGIS enabled database, a new user of libraries such as Leaflet, and we hope, a long-time supporter of open source. In this talk, I'll present on how we are building a new and quickly growing community around open source geospatial. I'll talk about our plans for the future and how we plan to support open source for many years to come.

uk: вхід без авторизації

name: Empowering people, popularizing open source, and building a business


Supporting Open Data with Open Source

keywords:
Open Data
GeoServer
GeoNode
CKAN
PostgreSQL
OGC
CS-W
catalog
WMS
REST
ISO 19115
ISO 19139
XML
JSON
geospatial metadata

uk: Комп'ютерні науки

description: Within the US Federal Government, there is a trend towards embracing the benefits of open data to increase transparency and maximize potential innovation and resulting economic benefit from taxpayer investment. Recently, an Executive Order was signed specifically requiring federal agencies to provide a public inventory of their non-restricted data and to use standard web-friendly formats and services for public data access. For geospatial data, popular free and open source software packages are ideal options to implement an open data infrastructure. NOAA, an agency whose mission has long embraced and indeed centered on open data, has recently deployed or tested several FOSS products to meet the open data executive order. Among these are GeoServer, GeoNode, and CKAN, or Comprehensive Knowledge Archive Network, a data management and publishing system.This talk will focus on how these three FOSS products can be deployed together to provide an open data architecture exclusively built on open source. Data sets hosted in GeoServer can be cataloged and visualized in GeoNode, and fed to CKAN for search and discovery as well as translation to open data policy-compliant JSON format. Upcoming enhancements to GeoNode, the middle tier of the stack, will allow integration with data hosting backends other than GeoServer, such as Esri's ArcGIS REST services or external WMS services. We'll highlight NOAA's existing implementation of the above, including the recently-deployed public data catalog, https://data.noaa.gov/, and GeoServer data hosting platform, as well as potential build out of the full stack including the GeoNode integration layer.

uk: вхід без авторизації


keywords: civic hacking geojson github community

uk: Комп'ютерні науки

description: Langley is a small rural community on Whidbey Island in Washington State. Like so many other small rural communities, Langley is faced with limited resources but a great need to better understand the geospatial context of the local environment. Through the use of open source tools, including QGIS, GDAL/OGR, PostGIS, GRASS, and others, as well as free open data hosting at GitHub, Langley has started to better leverage existing data and attract community members to participate in gathering new and useful data. Small scale "civic hacking" is alive and well... and provides opportunities and challenges that are both similar and different than that of the larger urban counterparts engaged in large scale civic hacking.This talk with go over the technical aspects of the workflows that have proven fruitful for engaging local community members of small rural communities in both data creation and curation. We will also look at the social aspects of getting local governments engaged in the process of leveraging community resources for open access to data and tools.https://github.com/langleywa

uk: вхід без авторизації

name: Small town GIS - Leveraging GitHub, QGIS and community members to manage local data


keywords:
github
git
open data
government
leaflet
geojson
transportation

uk: Комп'ютерні науки

description: The Atlanta Regional Commission (ARC) continuously solicits feedback on transportation data from local government partners. Historically, this process has taken the form of lots of markings on plotted maps with immeasurable amounts of manual work on the tail end to organize and interpret this feedback. Many tools developed specifically for this process today often fall short of the needs of agencies (such as geospatial presentation and tracking comments), yet the cost to develop or implement custom software is generally out of reach for government agencies.This presentation introduces a case study of the process to develop geospatial collaboration tools for managing transportation data directly hosted on GitHub pages (currently in development at http://atlregional.github.io/plan-it/ and http://atlregional.github.io/fc-review/). This approach was partially inspired by GitHub's recent features additions that make collaborating on geospatial data simple and elegant. Because these data span both functional and jurisdictional divisions, many of the greatest challenges have been project management related --- coordinating stakeholder feedback and project requirements. However, by utilizing the existing git/GitHub infrastructure, many of these requirements can be managed cost effectively. Moreover, the framework allows for direct integration with other application environments via the GitHub API and GDAL Tools, ensuring that local modifications to project data are committed back to the data repository.

uk: вхід без авторизації

name: Managing public data on GitHub: Pay no attention to that git behind the curtain


keywords:
esri
government
open source
GIS
civic technology

uk: Комп'ютерні науки

description: The challenges that are most commonly discussed by proponents of open source in government technology relate to changing the culture among technical staff and explaining the value of open tools and systems. But beyond the political concerns and misperceptions, there are practical complications in implementing these tools inside proprietary tech ecosystems like Esri. Although it's becoming easier, injecting open source into the Esri stack can be convoluted, to say the least.For all of its challenges, however, there have been many successful open source implementations in all levels of government, from open data portals to full-scale applications. Using case studies from recent Code for America projects, this talk will identify some of the more difficult challenges and highlight a few techniques for integrating open source geo tools into the Esri stack with a focus on minimizing difficulty for the developer and maximizing benefit for the end user. The talk will focus on web applications and tools while touching on data interoperability, spatial analysis, and trainings/documentation.

uk: вхід без авторизації

name: Building Open Source Projects in Government Esri Ecosystems


keywords:
GIS
government data
NIWA
Open Data
Open Source
QGIS

uk: Комп'ютерні науки

description: New Zealand, like many other countries around the world, is developing Government policies requiring open access to public data. The National Institute for Water and Atmospheric Research (NIWA) has been directed to make subtantial parts of its fisheries, climate, coastal, oceanic and freshwater data more publicly available for re-use. NIWA recognises that making such data available is of very limited value, if potential users do not have access to suitable tools to work with these data, ie: GIS applications. As part of its Open Data programme, NIWA's Fisheries and Environmental Centers have funded enhancements to an Open Source GIS application, QGIS, and made this application available as a free download, along with NIWA data. This approach enables the effective re-use of NIWA (and other agencies') environmental and spatial data by individuals and organisations who otherwise have little or no access to commercial GIS tools. This presentation discusses the value of Open Source (and Open Standards) to support Open Data initiatives, and NIWA's experiences along the way.

uk: вхід без авторизації

name: Adding value to Open Data using Open Source GIS.


keywords:
Hadoop
Accumulo
Analytics
Distributed Computation
Big Data
Cloud Computing

uk: Комп'ютерні науки

description: The rapid growth of traditional and social media, sensors, and other key web technologies has led to an equally rapid increase in the collection of spatio-temporal data. Horizontally scalable solutions provide a technically feasible and affordable solution to this problem, allowing organizations to incrementally scale their hardware in tandem with data increases.GeoMesa is an open-source distributed, spatio-temporal database built on the Accumulo column-family store. Leveraging a novel spatio-temporal indexing scheme, GeoMesa enables efficient (E)CQL queries by parallelizing execution across a distributed cloud of compute and storage resources, while adhering to Accumulo's fine-grained security policies. GeoMesa integrates with Geotools to expose the distributed capabilities in a familiar API. Geoserver plugins also enable integration via OGC standard services to a much wider range of technologies and languages, such as Leaflet, Python, UDig, and QuantumGIS. In this presentation, Anthony Fox will discuss the design of spatio-temporal indexes in distributed "NoSQL" databases, the performance characteristics and tradeoffs of the GeoMesa index, and how it can be leveraged to scale compute-intensive spatial operations across very large data sources. This discussion will detail how GeoMesa distributes data uniformly across the cloud nodes to ensure maximum parallelization of queries, and other computations. Specific computationally intensive analytics include distributed heat map generation over time, nearest neighbor queries, and spatio-temporal event prediction. He will present common analytic workflows against spatial data expressed as batch map-reduce jobs, dynamic ECQL queries, and real-time Storm topologies. Using the Global Database of Events, Language, and Tone (GDELT) dataset as a working example source, Mr. Fox will demonstrate how a completely open-source architecture stack, including GeoMesa, enables ad-hoc and real-time analytics.This presentation will be of interest to data scientists, geospatial systems developers, DevOps engineers, and users of massive Spatio-Temporal datasets.

uk: вхід без авторизації

name: GeoMesa: Distributed Spatiotemporal Analytics


keywords:
OpenLayers
Scenario Planning
Decision Support Tools
Marine Planning
Ocean Data

uk: Комп'ютерні науки

description: Area-based planning processes are rapidly moving from paper and desktop GIS based processes to online applications offering real-time analysis and feedback. Users want an interactive and informative experience allowing them to generate reports and analysis without needing to understand the subtleties of GIS or spatial analysis. They expect a compelling user experience that works on a variety of platforms Ð ranging from old or outdated browsers to tablets and smart phones.Building from years of experience (and standing on many shoulders), this talk demonstrates some of the strategies and techniques achieved for the Marine Planner platform, an online open-source map viewer and decision support tool. These strategies include UTFGrids, tile caching, pre-processing, and standard and forked OpenLayer libraries, among others. The result is large-scale scenario planning tools with a responsive and compelling user-experience that anyone who has used online maps can figure out.

uk: вхід без авторизації

name: Real-time Scenario Planning with OpenLayers


keywords: Crowdsorcing HTML5 Trustworthiness Ratings OpenStreetMap

uk: Комп'ютерні науки

description: Crowdsourcing is known as a way to gather information and data from the general public. In last few years crowdsourcing has become the cheapest and one of the most efficient ways to gather data. With the increased availability of smartphones and smart devices, the general public carries a communication device with increasing computational resources, which can also carry a lot of information. With Web 2.0 the access to internet has become simpler and easier.The crowdsourcing application, we have developed is a rating system that incorporates trust into the application. It works by gathering data of the busyness of hangout places from the crowd, specified in terms of a rating of the busyness of the establishment. The data gathered is shown back to the public using modified ratings and the trustworthiness of those ratings. Ratings are shown in real-time and on a map. The end-user platform for which the application is built includes Android and the web.HTML5 and PHP have been used for designing the main web page which works on any end user platform. JavaScript is used to display base maps from OpenStreetMap and Google servers.PHPMyAdmin is used to manage the MySQL Database. Java was used to program the front end of the application.The dots on the map range from small to large, with a small icon indicating a quiet place and the largest icon indicating a busy place. The trust rating shows our confidence in the rating of busyness, using an algorithm that produces a result ranging from 0% to 100%.

uk: вхід без авторизації

name: Trusting the Crowd in a Geospatial Crowdsourcing Application


Finding the Where in Big Fuzzy Data

keywords:
big data
hadoop
analysis

uk: Комп'ютерні науки

description: We've gone to plaid. It is now easier to store any and all information that we can because it _might_ be useful later. Like a data hoarder, we would rather keep everything than throw any of it away. As a result, we now are knee-deep in bits that we are not quite sure are useful or meaningful. Fortunately, there is now a mature, and growing, family of open-source tools that make it straight-forward to organize, process and query all this data to find useful information. Hadoop has been synonymous with, and arguably responsible for, the rise of 'The Big Data'. But it's not your grandfather's mapreduce framework anymore (ok, in internet time). There are a number of open-source frameworks, tools, and techniques that are emerging that each provide a different speciality when managing and process fast, big, voracious data streams.As a Geo-community we understand the potential for location to be the common context through which we can combine disparate information. In large amounts of data with wide variety, location enables us to discover correlations that can be amazing insights that otherwise were lost when looking through our pre-defined and overly structured databases. And by using modern big data tools, we can now rapidly process queries which means we can experiment with more ideas in less time.This talk will share open-source projects that geo-enable these big data frameworks as well as use case examples of how they have been used to solve unique and interesting problems that would have taken forever to run or may not have even been possible.

uk: вхід без авторизації


keywords: spatial temporal network web visualization techniques

uk: Комп'ютерні науки

description: Maps are traditional means of presentation and tools for analysis of spatial information. The power of maps can be also put into service in analysis of spatio-temporal data, i.e. data about phenomena that change with time. Exploration of such data requires highly interactive and dynamic maps. Using geospatial open source software, various techniques for visualizing spatial temporal network change data and combinations of spatial temporal network, point and area data are evaluated. Linear referencing represents locations along routes, linear features with an established measurement system, using relative positions. It allows locating events along routes without segmenting it, and has been applied to manage linear features in transportation, utilities, along trail networks and stream networks. Linear referencing for events occurring along a network through time are visualized using both animations and interactive time line visualizations. Sliders are used to give the user manual control to step through the data, allowing them to explore the data presented in each time step. Categorized point events (i.e. traffic accident types, flood locations, etc.) appear at muItiple locations along the network. Color and size of symbols are used to denote these dynamic point event attribute changes and location changes. In addition, line segments are mapped using size and color to identify the changes occurring over time. Some of the combinations of changes evaluated include: attribute change (i.e. traffic accident type), spatial attribute change (i.e. flood boundaries), moving objects (i.e. traffic accidents), rate of change (i.e. fish survival by stream segment) and spatio-temporal aggregation (i.e. multiple fish releases by watershed). Some linear visualization techniques evaluated include: run maps and map and line chart visualization techniques similar to the famous Napoleon's retreat Minard visualization.

uk: вхід без авторизації

name: Spatial Temporal Network Web Visualization Techniques


keywords:
PostGIS
data integration
edge matching
shared boundaries
digital geology

uk: Комп'ютерні науки

description: Polygons are great to have in digital maps, much like a canvas that we can render with beautiful colours. It is common that polygon boundaries are shared by linear features (e.g., municipalities divided by a river or a road). If polygons are used as part of the base to edit, update, and integrate digital maps, we have to reconcile the geometric differences among the shared boundaries and fix topological problems in edge matching. For many years we felt blessed that commercial software tools are available to reconcile shared boundaries, and to detect and fix topological problems. However, if wrestling with polygons leaves you feeling buried in slivers, discontinuities, gaps, and overlaps, you've got Post-Polygon Stress Disorder (PPSD). PostgreSQL/PostGIS presented British Columbia Geological Survey an opportunity to identify the causes of PPSD. As a result, we have developed a geologic framework data model and implemented an anchoring mechanism in PostGIS to simplify the process of editing, updating, and integrating digital geological maps. We have dispensed with polygons and eliminated the problems from shared boundaries and edge matching.Healing to PPSD is available in this poster:http://www.empr.gov.bc.ca/Mining/Geoscience/PublicationsCatalogue/GeoFiles/Pages/2014-9.aspx.

uk: вхід без авторизації

name: Anchoring and PostGIS cure Post-Polygon Stress Disorder


keywords: geopackage ogc standards geosync geojson context owc

uk: Комп'ютерні науки

description: This presentation presents an overview on new OGC standards and developer tips on how to build your own implementations from scratch or on top of existing open source libraries that implement them. We cover GeoPackage, the new SQLite-based geospatial data format; OWS Context for describing a group of related spatial data resources (e.g. for map composition); and the emerging Geosync architecture based on lessons from CouchDB.

uk: вхід без авторизації

name: Update on new OGC Standards: GeoPackage, OWS Context & Geosync


Open Source Geo Certification

keywords:
certification
open source
open standards
free software
open data
business
education
qualification

uk: Комп'ютерні науки

description: The growing open source geospatial software market needs qualified professionals. In general IT qualification proof is often provided through a certification program, for example as offered by the Linux Professional Institute Certification (LPIC). The open source geospatial domain has no comparable programs. This lack has been discussed for years in and around OSGeo which would be on of the more obvious contenders to provide such an independent certification. But certification is a decidedly difficult topic to tackle with many slippery slopes. Creating and then executing a certification program needs continuous engagement by paid staff which requires a regular stream of income. As it turns out OSGeo has (for now) decided to not employ staff but instead continues to rely on volunteer work, foster communities and stay independent of investors. Some businesses offer training for Open Source geospatial software. This provides for a source of revenue and helps to professionalize the market. Some of the curricula are jointly developed and maintained by the software projects and the training providers. This is a good thing but as yet there is no independent third party committed to quality assurance. The same situation can be found in the standards domain: The Open Geospatial Consortium has celebrated its 20th anniversary this year. It has implemented test suites for automated certification for software but as yet there is no certification program for individuals. The metaspatial Institute was launched with the mission to close these gaps by offering a certification program. It is geared towards individuals who want to acquire an independently recognized confirmation of their skills and businesses who want to certify their staff for a growing number of software packages. The metaspatial certification program is developed and maintained in close cooperation with Open Source software projects, academia, businesses and user communities. This presentation will discuss how the body of knowledge of participating software projects is developing and gives an overview of the current state of affairs.

uk: вхід без авторизації


keywords:
community management
community
burnout
self care
support

uk: Комп'ютерні науки

description: As technical community managers we are faced with a unique set of challenges. Like most FOSS community members, we're often volunteers, but the work we do in moderating mailing lists, planning events, fielding project feedback and contributions, and being the public face of our communities can take an additional emotional toll. We do it because we love our communities, but we also are often guilty of neglecting our own very real needs in order to serve those communities. We end up feeling guilty, run down, inadequate, and ultimately burnt out.Does this sound like you? Even if you don't do community management work, you might have run into some of the same frustrations. In this talk I'll share with you my own experiences in building and managing different geo communities. Through my own lessons learned, I'll strive to help you think about ways to:- Ensure you have adequate support in your work- Build a vocabulary to talk and think about the challenges you face- Feel empowered to say no and to allow yourself time away from the project- Recognizing and handling burnout- Avoiding burnout next time around

uk: вхід без авторизації

name: Avoiding Burnout, and Other Essentials of Open Source Self-Care


keywords: OSGeo-Live Community Education

uk: Комп'ютерні науки

description: OSGeo-Live is a Linux distribution, available in virtual machine, bootable DVD, or bootable USB formats, containing a curated collection of the latest and best Free and Open Source Geospatial (FOSS4G) applications. This talk investigates the correlations between worldwide download distribution, and community participation against indicators of economic, technical knowledge and socio-cultural barriers to geospatial technology and FOSS adoption. Better understanding the barriers of technology transfer are important to the outreach efforts of the FOSS4G community, and understanding the market development potential of FOSS4G around the world.Results of an analysis of the OSGeo-Live community will be shown but the techniques discussed can be applied to any software project.

uk: вхід без авторизації

name: Barriers to FOSS4G Adoption: OSGeo-Live case study


OSGeo Incubation

keywords:
OSGeo
Open Source Geospatial Foundation
Incubation
Open Source
License
Intellectual Property
Patents
Risk

uk: Комп'ютерні науки

description: The Open Source Geospatial Foundation does much more than hold FOSS4G each year.This talk will look into what makes OSGeo a software foundation. What software foundations have to offer members, software projects and developers.This talk is structured around the "incubation" process by which new software projects join the OSGeo.If you are new to open source take this is a great chance to see how OSGeo evaluates software projects and how these checks protect you!For managers it is especially important to understand the risks associated with the use of open source. Understand what assurances OSGeo incubation offers, how to double check the results, and what factors are left for your own risk assessment.If you are a developer considering getting involved in OSGeo this is great talk to learn what is involved, how much work it will be, and how you can start!Come see what makes OSGeo more than a user group!

uk: вхід без авторизації

name: Open Source Geospatial Foundation (OSGeo)


keywords:
spatiotemporal
opendap
big data
netcdf
hdf
postgis
climate

uk: Комп'ютерні науки

description: The world is a big place and time is infinite. Scientists who study any aspect of the Earth's climate are immediately faced with the exponentially growing amount of data that are required to represent properties of the climate in both time and space. The bulk of these data is a substantial barrier to extracting meaningful information from their contents. This barrier can be prohibitive to smaller-scale researchers and communities that want to study and understand the impact of the climate on their localities. Fortunately, a substantial amount of free and open source software (FOSS) exists upon which one can build a great geospatial data application.The Pacific Climate Impacts Consortium (PCIC), a regional climate services provider in British Columbia, Canada, has been making a concerted effort to use geospatial FOSS in order to expand the availability, comprehensibility and transparency of big climate data sets from the Coupled Model Intercomparison Project (CMIP5) experiment. With a full stack of geospatial FOSS and open protocols we have built and deployed a web platform capable of visualizing and distributing high-resolution spatiotemporal raster climate data.Our web application consists of:+ back-end storage with raw NetCDF4/HDF5 files+ a PostgreSQL/PostGIS database for indexed metadata+ ncWMS for maps and visualization+ the PyDAP OPeNDAP server for data requests+ a web user interface to tie it all togetherThis presentation will provide a case study for enabling scientific collaboration using FOSS and open standards. We will describe our application architecture, present praise for and critique of the components we used, and provide a detailed discussion of the components that we had to improve or write ourselves. Finally, though our use case is specific to climate model output, we will provide some commentary as to how this use case relates to other applications of spatiotemporal data.

uk: вхід без авторизації

name: Serving high-resolution sptatiotemporal climate data is hard, let's go shopping


keywords:
design
analysis
urban planning
visualization

uk: Комп'ютерні науки

description: Geodesign, at its most basic, is design with geography. It is the combination of the tools and techniques geographers and other geoscientists use to understand our world with the methods and workflows designers use to propose solutions and interventions. For instance, the typical master planning process in which GIS-based knowledge is separated from the design process can be turned into a geodesign task by sketching buildings and other land uses directly within a GIS, and seeing indicators update on the fly as various data graphics. This can then allow the designer(s) to pinpoint specific design interventions based on live feedback from geospatial information.Over the last 10 years, technology has facilitated an explosive growth in geodesign as both a framework for solving problems and a toolkit of geospatial analyses that feed into that framework. The growth of the Geodesign Summit in Redlands, CA from 2010 to 2014 is an example of the demand for this sort of framework.Parallel to the rise of geodesign, the tools represented by FOSS4G have also been evolving into sophisticated tools capable of taking on the needs of geodesign. However, to date there's been too little discussion of how to take the framework and working methods of geodesign and accomplish them with open source tools. This session will connect those dots by taking the typical parts of a geodesign framework (suitability analysis, sketching/designing, evaluating/comparing, iterating) and outlining our own experience making use of open source tools for geodesign. In particular, we will focus on how the interoperability of open source tools and the growth of web-based geospatial tools can support (and evolve!) the ways that geodesign is done.This presentation will address:What is geodesign: the conceptual framework and typical use cases for geodesignWhere are we: workflows and tool stacks we've used and seen others use to dateWhere could we go: identifying current gaps and pain points in existing stacks and possible solutions from emerging technologies

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name: Geodesign: An Introduction to Design with Geography


uk: Комп'ютерні науки

description: GRASS GIS, a free and open source geographic information system, provides the functionality to manage, analyze and visualize geospatial data. Recently, support for managing the temporal dimension has been integrated into GRASS GIS as a response to an increasing accessibility and importance of spatio-temporal data. However, to fully benefit from such data new capabilities for exploratory visualizations are needed. We present a set of tools for spatio-temporal data visualization which reflects data complexity and also supports online sharing. The GRASS GIS Animation Tool is a desktop application working directly with different types of spatio-temporal data stored in GRASS GIS. We can display synchronized animations of raster, vector and 3D raster data in two- and three-dimensional views. To share spatio-temporal visualizations online, we have developed web map applications which enable users to explore the data as animations or derive supporting information such as histograms. Our solution does not require any server-site application and enables a file-based offline sharing and an easy online publication without any special requirements on users' software or servers. We demonstrate the desktop and online tools on several use cases, namely solar radiation and fire spread modeling, volumetric soil moisture analysis, and cumulative cost surface visualization.

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name: Spatio-temporal data visualization in GRASS GIS: desktop and web solutions


Open Source is People

uk: Комп'ютерні науки

description: Keynote Speech, FOSS4G 2014, Portland, Oregon.

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keywords:
Hybrid
Google
Esri
business
hybrid systems
hybrid architecture

uk: Комп'ютерні науки

description: Currently, it is rare that an organization faces a choice between "just commercial" or "just open source" geospatial software. Increasingly, the answer isn't about "or", it is now about solutions that may involve both. Indeed, Commercial systems - both installed software and cloud-based platforms - may have both functional and cost effectiveness gaps. Free and open source software for geospatial (FOSS4G) can be a critical component that helps to bridge these gaps. And, given that organizations may have large existing investments and sunk costs in commercial software it can make sense to leverage those investments by building hybrid systems that incorporate open source components. This presentation will describe several specific examples of hybrid systems that incorporate geospatial open source (e.g., OpenGeo Suite) alongside both Esri and Google components. The presentation will focus on both the business reasoning for choosing hybrid as well as the technical approaches taken. Ultimately, hybrid projects or systems can be very important as they provide a key entry-point for geospatial open source into organizations that might not otherwise consider it.

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name: The role of geospatial open source (FOSS4G) as a component of hybrid systems


uk: Комп'ютерні науки

description: Since its start in 2006, Amazon Web Services has grown to over 40 different services. S3, our object store, one of our first services, is now home to trillions of objects and regularly peaks at 1.5 million requests/second. S3 is used to store many data types, including map tiles, genome data, video, and database backups. This presentation's primary goal is to illustrate best practice around open data sets on AWS. To do so, it showcases a simple map tiling architecture, built using just a few of those services, CloudFront (CDN), S3 (object Store), and Elastic Beanstalk (Application Management) in combination with FOSS tools, Leaflet, Mapserver/GDAL and Yas3fs. My demo will use USDA's NAIP dataset (48TB), plus other higher resolution data at the city level, and show how you can deliver images derived from over 219,000 GeoTIFFs to both TMS and OGC WMS clients for the 48 States, without pre-caching tiles while keeping your server environment appropriately sized via auto-scaling. Because the NAIP data sits in a requester-pays bucket that allows authenticated read access, anyone with an AWS account has immediate access to the source GeoTIFFs, and can copy the data in bulk to anywhere they desire. However, I will show that the pay-for-use model of the cloud, allows for open-data architectures that are not possible with on-prem environments, and that for certain kinds of data, especially BIG data, rather than move the data, it makes more sense to use it in-situ in an environment that can support demanding SLAs.

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name: Don't Copy Data! Instead, Share it at Web-Scale


keywords:
big data
hadoop
deforestation
geoprocessing

uk: Комп'ютерні науки

description: Big data gets a lot of press these days, but even if you're not geocoding the Twitter firehose, "big enough" data can be a pain - whether you're crashing your database server or simply running out of RAM. Distributed geoprocessing can be even more painful, but for the right job it's a revelation!This session will explore strategies you can use to unlock the power of distributed geoprocessing for the "big enough" datasets that make your life difficult. Granted, geospatial data doesn't always fit cleanly into Hadoop's MapReduce framework. But with a bit of creativity - think in-memory joins, hyper-optimized data schemas, and offloading work to API services or PostGIS - you too can get Hadoop MapReduce working on your geospatial data!Real-world examples will be taken from work on GlobalForestWatch.org, a new platform for exploring and analyzing global data on deforestation. I'll be demoing key concepts using Cascalog, a Clojure wrapper for the Cascading Java library that makes Hadoop and Map/Reduce a lot more palatable. If you prefer Python or Scala, there are wrappers for you too.Hadoop is no silver bullet, but for the right geoprocessing job it's a powerful tool.

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name: Big (enough) data and strategies for distributed geoprocessing


keywords:
PostgreSQL
PostGIS
OpenLayers
Mapserver
D3
QGIS
Pupunzi
jquery mb.containerPlus
PHP

uk: Комп'ютерні науки

description: In the highly competitive world of environmental consulting, being able to manage large volumes of data and deliver timely, accurate information based on that data is critical to our ongoing success. As a relatively small company, we recognized that we needed something unique to survive and prosper in an industry dominated by huge corporations. Over the past 7 years we have made a considerable effort to shift over to a FOSS4G environment, with a belief that, not only would this decision enhance what we already do well, but give us the competitive edge we would need to ensure future prosperity.A brief presentation of a snapshot of our current FOSS4G status, how we arrived here and a workflow tour beginning at the data acquisition stage looking at the feed through our patented EDMS QA/QC system into PostgreSQL followed by a demonstration of a just a few of our many custom web/mobile/desktop applications that rely on the PostgreSQL back end database and how these solutions are able to deliver accurate and timely information to employees and clients alike, and finally, where to next.We take advantage of multiple FOSS4G including the likes of OpenLayers, MapServer, PostgreSQL/PostGIS, PHP, D3 and jQuery. This combination places us in an ideal position to respond to client needs with the ability to rapidly deliver almost any request.

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name: A glimpse of FOSS4G in the environmental consulting arena


pyModis: from satellite to GIS maps

keywords: MODIS Python GIS

uk: Комп'ютерні науки

description: One year after the first public presentation of pyModis at FOSS4G 2013 a lot of improvements have been implemented in the pyModis library. The most important news are that each command line tool now offers a graphical user interface to assist inexperienced users. Furthermore, the MODIS Reprojection Tool (MRT) is not longer mandatory in order to mosaic and reproject the original MODIS data as GDAL is now supported.Hence the most important improvement was the reimplementation of existing MRT component to use the Python binding of GDAL. This was basically driven by the fact that MRT does not properly perform geodetic datum transforms as discovered in the daily work with MODIS data within the PGIS-FEM group leading to shifted reprojection output. With the new GDAL support not only this problem has been solved but also the installation greatly simplified. pyModis is used all over the world in academic, governmental and private companies due to its powerful capabilities while keeping MODIS processing workflows as simple as possible.The presentation will start with a small introduction about pyModis and its components, the library and the tools. This part is followed by news about the latest pyModis release and indications about future developments.

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keywords: postgis raster postgresql gdal mapcache mapserver memcached weather performance tuning

uk: Комп'ютерні науки

description: The National Weather Service is developing several geospatial forecast visualization and analysis tools. The back end data store and WMS server is built on Open Source GIS tools: GDAL, PostGIS / Raster, Mapserver, and Mapcache.Weather forecasts are in a constant state of flux. In the case of the National Digital Forecast Database, forecasts expire or are superseded every hour. This presents several challenges when it comes to managing forecast rasters with GIS tools, and delivering the most up-to-date, real-time forecasts with an acceptable level of performance. This presentation will examine the methods and practices we've used to optimize our data store performance, from data ingest to forecast analysis to image delivery.* Using PostgreSQL Inheritance / Parent and Child tables to manage raster updates inside the database* Managing an up-to-date image cache in Mapcache and Memcached, with rapidly changing source data.* Optimizing PostGIS raster tiles and Mapserver DATA queries for faster image generation and display over Google Maps* Future work: Expanding PostgreSQL Inheritance to work with raster overviews

uk: вхід без авторизації

name: Tuning Open Source GIS Tools to Support Weather Data / Rapidly Changing Rasters


keywords:
javascript
java
eventd
web application
websockets

uk: Комп'ютерні науки

description: You have started to hear about micro-services, evented asynch servers, and WebSockets but then you hear the only platform that really has those now is Node.JS. While you like JavScript you would like to use other languages. Well Vert.x has all these features AND runs JavaScript, Java, Scala, Python, Ruby, CoffeeScript, and Groovy. You don't have to be a Node.JS hipster to have all the fun - though JavaScript is fine if you roll that way. This talk will cover a basic introduction to Vert.x and it's architecture. Then I will will show how I built a WebSocket asset tracking application with Leaflet and a Vert.x backend application. The goal is at the end you can go home and start writing your own, scalable, (a)synchronous, WebSocket applications.

uk: вхід без авторизації

name: Vert.x - web sockets and async programming for everyone


keywords:
DevOps
Vagrant
Virtualbox
Configuration Management
Ansible

uk: Комп'ютерні науки

description: Building development environments using VagrantDuring Oskari.org development we noticed releases usually where delayed due to environment differences. Our desktop and server environments are quite different. We believe there should be no differences between the production and development environments. In our research we discovered Vagrant, which utilizes Virtualbox for creating virtual environments. It was a perfect solution and we wondered into the world of DevOps. We noticed our lack of automation and began our search for a good Configuration Management tool. Our research showed many promising alternatives and we ended up choosing Ansible. Armed with Vagrant and Ansible we began to automate our development environment in a reproducible way. This talk is about our journey into DevOps and why you should join us!

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Tracking Slippy Map Analytics

keywords:
slippy map
analytics
user experience
statistics
reports

uk: Комп'ютерні науки

description: Google Analytics is a great tool for monitoring and reporting on website traffic and user interactions but what it doesn't tell you is that 75% of the time your user's zoom in two levels every time they start to use your map or that external soils layer you added is taking an average three seconds to load. Client side map monitoring adds the missing chapters needed to complete your geo-analytics storybook.We'll briefly walk-through how to setup your slippy map to start tracking analytics, what can be tracked, and what can be discovered.

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keywords:
Charts
Legend
Virtual Globes
3D Cartography
National Atlases
Mashup
D3.js
osgEarth
Chromium Embedded Framework

uk: Комп'ютерні науки

description: This presentation introduces a mashup of the JavaScript library D3.js, the virtual globe toolkit osgEarth, and the web browser engine Chromium Embedded Framework. Using the example of a national atlas, it is demonstrated how these OpenSource frameworks facilitate the creation of charts and legends for a series of three-dimensional maps.First, it is explained how a map in osgEarth can be styled with D3 scale functions. Legends for choropleth, line, symbol, and grid maps are derived therefrom. They allow to depict unique values, value ranges, and combinations of those having two dependent variables. Also legend templates for color gradients and hierarchical categories have been developed. All legends are superimposed the virtual globe by means of the Chromium Embedded Framework.Next, six widely used chart types - i.e. pie, ring, wing, divided area, bar, and divergent bar charts - with individual properties are presented. Charts are defined with aforementioned styling functions, created with D3.js, and displayed as billboards in the virtual globe.Finally, a live demo is shown, current limitations are discussed and future work of the atlas project is outlined.

uk: вхід без авторизації

name: Creating Charts and Legends for 3D Atlas Maps - A Mashup of D3.js, osgEarth, and the Chromium Embedded Framework


keywords:
environmental crime
law enforcement
WebGIS
geostatistics

uk: Комп'ютерні науки

description: This is a case study about using WebGIS for fighting crime from a forensics standpoint.When one thinks about GIS for law enforcement, vehicle tracking and messaging immediately comes to mind. Inteligeo provides support for law enforcement in a different manner: it provides information for the forensics examiner.The system became operational in November 2010 and it now has more than 850 themes and 950 data visualization layers, and is available only inside of the Brazilian Federal Police internal network. It started as tool for fighting environmental crime, now it covers a wide variety of subjects such as environmental data, chemical analysis of pesticides, mining operations, public works fraud and legal status of rural properties. We also have a raster data repository and integration with databases from several institutions.The system uses a fully open source database. After a difficult migration from a proprietary database, the data can now be handled not only by the proprietary GIS framework, but also by tools from the open source ecosystem and by our own maintenance tools.During almost four years of operations, some lessons have been learned and the initial strategic plans have changed. We will discuss issues such as what can be outsourced and what has to be made in house, decisions regarding the database, experimenting versus focusing, key features (our) users use most, demonstrating value to internal management.

uk: вхід без авторизації

name: Inteligeo - Geographic Intelligence System in the Brazilian Federal Police


keywords:
Social Media
Emergency Response
Twitter
Tweets

uk: Комп'ютерні науки

description: This paper is a case study of FirstToSee, the social media situational awareness project organized by agencies in the Puget Sound region of the Pacific Northwest.The purpose of FirstToSee is to capture, analyze and map social media using open source tools. The desired result is improved situation awareness through a clearer operational picture which in turn assists in providing a more targeted response.The Puget Sound is an actively seismic region and is prone to massive earthquakes, such as the 1700 magnitude 9 Cascadia earthquake. The next such earthquake in the region will cause widespread casualties and damage. Inevitably, when the ÔBig One' hits the public will turn to social media to report what is happening in their area. The collective information has the capacity to assist in assessment of problems and direct resources where needed most.The project stack includes SwiftRiver, PHP, D3JS, GeoJSON, OpenLayers and GeoServer as well as complementary iOS and Android mobile applications that allow trusted sources to report additional critical information during an incident.The open nature of social media provided numerous opportunities to test the platform. Since deploying in May of 2013 we tracked Twitter activity at major Puget Sound festivals and gatherings and real-world incidents around the globe. The first regional disaster since launching came in late March of 2014 during the Washington State Oso landslide. The paper continues with analysis of the keywords searched, content gathered and methods for geolocating, aggregating and disseminating the information to emergency responders at the scene.

uk: вхід без авторизації

name: Open Source Social Media Aggregation and Geolocating for Emergency Management


keywords:
machine learning
regression
climate
raster

uk: Комп'ютерні науки

description: As the field of climate modeling continues to mature, we must anticipate the practical implications of the climatic shifts predicted by these models. In this talk, I'll show how we apply the results of climate change models to predict shifts in agricultural zones across the western US. I will outline the use of the Geospatial Data Abstraction Library (GDAL) and Scikit-Learn (sklearn) to perform supervised classification, training the model using current climatic conditions and predicting the zones as spatially-explicit raster surfaces across a range of future climate scenarios. Finally, I'll present a python module (pyimpute) which provides an API to optimize and streamline the process of spatial classification and regression problems.

uk: вхід без авторизації

name: Spatial-Temporal Prediction of Climate Change Impacts using pyimpute, scikit-learn and GDAL


keywords:
responsive
design
responsive design
mobile
UI
UX
cartography

uk: Комп'ютерні науки

description: In recent years, the web design community has moved quickly to accommodate the various devices and methods for accessing web content. The FOSS4G and wider development community have responded to this paradigm of adapting the layout of content to scale to the device of the user by creating and leveraging tools such as Leaflet and D3. However, there remains a lack of knowledge, understanding, and conversation about what it truly means to create a map experience that meets the present needs and expectations of the user. Designing an adaptive map should go beyond simply fitting it into a responsive layout. User variables, such as the mode of interaction and location-based needs, raise map-specific UI design questions that this community is uniquely positioned to answer.This talk will explore what it could mean cartographically and experientially to adapt all aspects of the map experience to the needs of the user using principles already embraced in other communities. Our goal is to provoke a wider discussion of how we, as a community, can work toward these objectives. Regardless of expertise level, anyone who is involved with the creation of interactive web maps has inevitably come across the problems associated with, and will benefit from involvement in this conversation.

uk: вхід без авторизації

name: Responsive Interactivity: Toward User-centered Adaptive Map Experiences


keywords:
NASA
OnEarth
GIBS
Development
Visualization
Earth Science
Collaboration

uk: Комп'ютерні науки

description: OnEarth is an open source software package that efficiently serves georeferenced raster imagery with virtually zero latency, independent of image size or spatial resolution. The key to OnEarth's speed lies in the use of a unique, multi-resolution file format (Meta Raster Format, or MRF) combined with supporting open source software packages such as the Geospatial Data Abstraction Library (GDAL) and Apache to serve out images via web service protocols such as Web Map Tile Service (WMTS) and Tiled Web Map Service (TWMS), or visualization formats such as Keyhole Markup Language (KML). The emphasis on performance and scalability were strong drivers for developing this specialized package versus using existing software.While OnEarth is currently deployed operationally at several institutions, powering applications across the Earth Science and planetary spectrum, its active development is managed by NASA's Global Imagery Browse Services (GIBS) project. The purpose of GIBS is to provide a complementary historical and near real time (NRT) image archive to NASA's Earth Science data products for a multitude of uses: GIS ingestion, first responder and NRT applications, data search and discovery, decision support, education and outreach.Released as open source to GitHub in October 2013, NASA is encouraging members of the open source community to participate in the evolution of OnEarth—in the roles of developers, evaluators, and users—as a means to vet and enhance its capabilities. This leveraging of efforts not only benefits those who intend to use the software for their own endeavors, it effectively contributes back to NASA by strengthening GIBS and promoting the use and understanding of NASA's vast archive of science imagery and data. Several tools, including the GIBS reference client, Worldview, will be demonstrated as part of this presentation to illustrate the breadth of application and consistent image access speed across installations.https://github.com/nasa-gibs/onearth

uk: вхід без авторизації

name: OnEarth: NASA's Boundless Solution to Rapidly Serving Geographic Imagery


Mapping with AngularJS

keywords:
AngularJS
OpenLayers
Leaflet
Google Maps
Esri WebMaps
d3

uk: Комп'ютерні науки

description: AngularJS is rapidly gaining popularity and favor in the front-end web development community. Several open-source AngularJS wrappers exist for open and closed source web mapping libraries. This session will survey the landscape of existing mapping library wrappers. Wrappers for OpenLayers, Leaflet, d3, Google Maps, and Esri WebMaps will be examined. Comparisons of the different abilities of these wrappers and the techniques required when using them will be examined. Advantages, strengths, weaknesses, limitations, and "gotchas" will all be examined for the AngularJS interfaces of the different mapping libraries. Attendees should leave the session with an understanding how to best integrate their mapping library of choice within an AngularJS application and how they could help improve these various wrappers.

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keywords:
climate model
paleoclimate
GRASS GIS
Python

uk: Комп'ютерні науки

description: A pyGRASS implementation of the Kšppen-Geiger climate classification applied to paleoclimate model simulations from the Paleoclimate Model Intercomparison Project III (PMIP III) will be presented. The talk will show the details of how Kšppen-Geiger classifications are practically implemented and applied to climate model simulations using GRASS GIS, the python library pyGRASS and QGIS for the cartography.

uk: вхід без авторизації

name: Köppen-Geiger classifications of paleoclimate model simulations