uk: Комп'ютерні науки

description: As IoT-based use cases increase, so has the need to create real-time geospatial views of the data generated. In this talk, we will describe how LocationTech GeoMesa integrates with Apache Kafka and Apache NiFi to enable spatial data streaming and data management. The first part of the talk will dive into the details of indexing observation data for entities moving through space and time. Examples will show how GeoServer can be polled to show a live picture of multiple moving entities. The second part of the talk will focus on using NiFi to route data through an enterprise. Apache NiFi provides a visual programming interface to create, represent, and monitor data flows. The GeoMesa-NiFi project provides Processors which allow for handling spatial data with GeoMesa and GeoTools DataStores. Authors and Affiliations – Jim Hughes, CCRi Track – Software Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: Streaming IoT sensor data with LocationTech GeoMesa, Apache Kafka, and NiFi


Nils Oesterling

type: Person

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: Geological data usually suffer from very low visibility because they are specialized data that are only accessible to a few people and can only be visualized and processed using special software. The swissgeol.ch portal, newly launched by swisstopo, aims to change this by making the data accessible on the Internet in a low-threshold and simple way using 3D visualization based and promoted with open-source technology and code. swissgeol.ch is a web application for the visualization and analysis of geological data, which has been publicly available as a beta version at https://swissgeol.ch since 2020. Similar to the swisstopo map application https://map.geo.admin.ch a few years ago for geodata in general, swissgeol.ch makes geological data available for various analyses in a low-threshold way. For this, swisstopo relies on 3D visualization on the web, which is based on CesiumJS and offers numerous expert tools. CesiumJS is the most widespread open source 3D globe library and is used worldwide in many different applications. It not only visualizes large-scale global data, but also very detailed data at the local scale, such as buildings in the 3D view of map.geo.admin.ch. With the development of swissgeol.ch, an underground navigation option was developed in CesiumJS for the first time, which allows the visualization of 3D objects below the terrain. In addition to navigating underground, it is also possible to see through the earth's surface using transparency settings, as well as to slice the 3D-scene vertically. With the use of 3D tiles and a precise terrain, the data is delivered in an optimized format for the web. At the same time, the download of original data of entire layers or individual objects in the layer is offered. At the moment swissgeol.ch is in beta phase, and it might pass to a stable version before FOSS4G. Until then, new functionalities are developed continuously and further data are integrated. By means of an overview of the tools and techniques used in this project as well as a showcase of the different functionalities and data, this presentation shows that 3D visualizations, which are considered to be complex, can be made accessible to a broad (professional) audience in a lean and performant way on the web by using open source software and publishing the code of the application under an open source licence. Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed.

TIB AV-Portal

type: Service

type: WebContent

type: MediaObject

@language: en

cs: přihlášení není vyžadováno

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required

nl: geen login vereist

name: swissgeol.ch - Open Source Geology in 3D

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


uk: Комп'ютерні науки

description: Numerous public administrations, organisations and institutions have joined Open Data initiatives in recent years to promote the reuse of their information, to harmonise it between organisations at different levels or counterparts and to improve transparency towards citizens. It is in this last area that administrations must make an effort to improve the User Experience in order to facilitate the access and consultation of this data. A large volume of the data to be consulted by users has a geospatial component and is usually used in cartographic visualisations composed of several layers in order to generate a specific report. A geospatial query over a geographic region by aggregating the relevant services or layers can be a complex task for someone who is not an expert user of the data available in a Spatial Data Infrastructure. In this project we present the development of a chatbot to assist the user in the generation of maps, guiding the user through the creation process and allowing the user to generate queries using metadata that describe the services or datasets within a conversational framework. This conversational framework is established both textually and by voice, through the use of a speech to text module. The chatbot relies on the open source framework RASA to develop the NLP module and elaborate the responses to the user. This framework offers the possibility to train the assistant using a knowledge base in which user intentions are defined with example messages, together with entity recognition in text and the ability to work in a conversational framework. The system is trained with service metadata and data from various SDIs to respond to user queries about geographic regions using both vector and raster data. The API-CNIG map visualisation tool is used to generate the map. This tool allows to create a map in the browser client through information structured by parameters in URL, and to carry out a rendering of layers hosted in different services or generated directly in the client. The chatbot will translate and map the user's input to these parameters and return the georeferenced data to the client, obtaining the desired map in a simple way. Technologies: NLP, NLU, Machine Learning, speech to text, Python, RASA, JavaScript, OpenLayers, Mapea, API-CNIG, OpenData, OGC Standards Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed.

uk: вхід без авторизації

name: Talk to the map - AI driven geospatial mapshup


uk: Комп'ютерні науки

description: We introduce the Rapid Action for Coronavirus and Earth Observation, a joint ESA-EC initiative to showcase applications of Earth Observation data derived from the Copernicus Sentinels and Third Party Missions to generate timely information with societal interest on the changes observed during the coronavirus pandemic lockdown and post lockdown periods on the European economy, agriculture, air quality, water quality and land. All indicators are based on Sentinel data and derived by capitalizing on EO Platforms and advanced Artificial Intelligence. Leveraging flexible and rapid development and deployment of the dashboard within EuroDataCube, the https://race.esa.int product is a fully Open Source solution developed using state-of-the-art technologies in an Open Science framework. The project also integrates community contributions selected through coding competitions and coaching of citizen contributions. Track – Open data Topic – Open and Reproducible Science Level – 1 - Principiants. No required specific knowledge is needed.

uk: вхід без авторизації

name: The ESA-EC Open Science dashboard Rapid Action on Covid-19 and EO


uk: Комп'ютерні науки

description: Nanyuki water and sewerage company (NAWASCO) is located in Nanyuki town Laikipia county Kenya.it operates as a county water service provider mandated to serve Nanyuki town and its environs. For a long time, NAWASCO’s field officers used old maps to monitor water connections. Having inherited customers from the Nanyuki Municipal council, they had to do an intense ground work to mark their territory. They walked around with the old maps following water pipelines between intake and the consumption points in order to identify the number of customers served under their jurisdiction. That was cumbersome! With advancement in technology, a decision was made to digitize the system to ease the identification burden. Journey to Digitization. To kick-off the digitization journey, QGIS a Free and Open Source Geographic Information software was used to convert old maps into computer readable documents that were used to develop the Geographic Information System. A GIS database was developed using POSTGIS where all the digitized data were stored. For analysis purposes and building a strong GIS system field data was collected using hand held GPS .These included pressure data, new connections, newly installed appurtenances and fittings. The amount of water lost between production and billing points has been one of the major challenges faced at NAWASCO. FOSS4G applications has assisted the team to have a better understanding of network and prompt leaks and bursts repairs hence reducing non- revenue water. Nanyuki water success story of Non-Revenue water reduction from 55% to 30% is largely due to adoption of GIS technology (Free and Open Source Geographic Information software. The water utility has also improved its billing efficiency through GIS. Meter readers, billing officers, repairs and maintenance team and non-revenue water team are now able to locate customers using shared vector tiles from the link. This is a presentation proposal on the impact of FOSS4G in Nanyuki water and Sewerage company. - Roles OF GIS in Nawasco - Planning support - Design support - Maintenance support - Performance analysis support FOSS4G are used in NAWASCO to determine the location of customer meters, water pipes, sewerage pipes and other Appurtenances using mobile phones, tablets or laptop. This talk is related to another talk - "FOSS4G software developments for Water Utilities Management in Eastern Africa by using Vector Tiles". Jin IGARASHI - Open source GIS software developer, also former JICA volunteer at Narok Water and Sewerage Services Company, Kenya. Developing vector tiles based Web-GIS system for Nanyuki Water and Sewerage Company. Track – Use cases & applications Topic – FOSS4G for Sustainable Development Goals (SDG) Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: The impact of application of FOSS4G on Non Revenue Water


uk: Комп'ютерні науки

description: The importance of geodata during the Covid pandemic for public health decision making. The experience of the Information Management and Health Statistics Office of the City of Buenos Aires. The talk reviews the experience in design and implementation of the project to aid public health decision making using geographical data of patients with Covid-19, developed by the Information Management and Health Statistics Office of the City of Buenos Aires. Buenos Aires, a very heterogeneous city in terms of population density and social stratification, with a corresponding geographic correlation, presented unique challenges to this effort. Aspects related to the specificity of the difficulties of georeferencing people in general and in the 2020 healthcare context, the technical problems encountered in the process and their resolution, as well as the role of free and open source software tools that allowed the success of the project will be reviewed. At the beginning of 2020, the City of Buenos Aires, like most of the world's megacities, was faced with the unprecedented situation generated by the spread of covid-19. In this context emerged the need to generate and manage a large volume of geodata to direct public policy actions. A team part of the Information Management and Health Statistics Office of the City of Buenos Aires faced the task of georeferencing a very high volume of patients with Covid-19 living in the city in order to properly manage the health context and facilitate decision-making with an immediate territorial impact. This objective set the course for the general georeference project, which had different informational inputs pre-established and under development that were articulated by analysts of the Office using different tools such as free and open source R language-based libraries. The success of the project, which was able to provide information on the distribution of georeferenced cases in a timely manner, made it possible to make 3 levels of decisions. At the macro level, it enabled the definition of major public policies based on geographic data, such as the decision to create testing centers in the so-called “Operativo Detectar” and to set up teams to visit informal settlements. At the meso level, it allowed the monitoring of the Operativo and the evaluation of its scope, while at the micro level it was able to guide the search for people and their close contacts. Authors and Affiliations – Santiago Esteban Mariano Aizpurúa Andrea Zumarraga María Nanton Information Management and Health Statistics Office of the Ministry of Health, Buenos Aires, Argentina Track – Use cases & applications FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Indigenous-led mapping has become an indispensable tool in the struggle of Indigenous peoples to claim their rights to land and resources. In this presentation I will give an overview of the Namunyak App project (a winner from the 2020 GEO Hack4Covid) and emphasise on the importance of the active participation of Indigenous people in the mapping process itself in order to fully move beyond the colonial cartographic frame. The Namunyak App encodes real geographical coordinates into four symbols. We believe that the app would allow the Samburu from northern Kenya to visualise and document their land in a dynamic, accessible and culturally relevant way. What we offer is to rethink the conventional, Western projections of maps, and combine it with local knowledge and understandings of land. Secondly, the app will be also an educational tool as it will introduce and advance the use of maps within the Samburu community. Finally, the Namunyak App is a communication tool that will improve the communication between Samburu community members, the local park rangers, and policy makers. Please see the abstract above. Authors and Affiliations – Yoanna Dimitrova, University of East Anglia Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

uk: вхід без авторизації

name: The Namunyak App, the Samburu and a Story About Collaboration


QSoccer - QGIS, Football, what else ?

uk: Комп'ютерні науки

description: For more than 20 years, many professional football (soccer) clubs have been interested in data to analyse their team performances in order to be as competitive as possible. The amount of data being acquired has increased significantly in the last few years and new metrics are emerging regularly. Some companies like Statsbomb or Opta are specialized in football data acquisition. They opened a part of their API, giving everyone the chance to create awesome visualisations or to prove that their favourite team is the best... This data is now used by analysts, technical staff of teams, medias and even fans. As football is a game defined in a specific space (the pitch) and time (90 minutes), we can use GIS to analyse tracking and event data. The purpose of this talk is to show that these spatio-temporal data can be imported into QGIS, thanks to the new QSoccer plugin. We could then exploit the different QGIS and PostGIS facilities so as to understand what is going on in a match. Bibliography : * https://gitlab.com/Oslandia/qgis/QSoccer * Van Hoeve, L. T. (2017). “Geovisual football analytics: towards the development of an interactive visual interface for football coaches, analysts and players (master’s thesis).” University of Utrecht, The Netherlands. * Van Hoeve, L. T. (2017). “How Geoinformation Enhances Professional Football.” https://www.gim-international.com/content/article/geovisual-football-analytics * Kotzbek, G., & Kainz, W. (2014). “Football Game Analysis: A New Application Area for Cartographers and GI-Scientists ?” Vol. 1 and Vol. 2 of the 5 th International Conference on Cartography and GIS. 15-21 June 2014, Riviera, Bulgaria, pp. 299-306. * Kotzbek, G., & Kainz, W. (2015). “GIS-Based Football Game Analysis – A Brief Introduction to the Applied Data Base and a Guideline on How to Utilise It” Proceedings of the 27th International Cartographic Conference, 2015, pp. 1-10. Authors and Affiliations – Benoît Blanc (1) Raphaël Delhome (1) (1) Oslandia, France Track – Use cases & applications Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації


uk: Комп'ютерні науки

description: In the event of a major crisis like the terrorist attack in Paris at the Bataclan venue on November 13, 2015, the civil protection agents and organisations were dealing with a Massive flow of geolocated information (thousands of calls in a few minutes to the emergency centers) and a need for rapid decision-making based on territorialized information: location of attacks, position and availability of help, travel time, traffic, access, etc. The NexSIS project aims to create a digital rescue platform providing all civil protection actors in France with a complete set of cloud operational services. Open Source GIS solutions were chosen for this national project with strong technical requirements. The technical prerequisites for an information system in SAAS mode intended for emergency services are high. It goes without saying that special attention must be paid to performance and safety. It is also necessary to build a modern and modular architecture capable of serving the needs of 250,000 potential users on the French territory. The solution cannot be a black box. The modularity, interoperability, scalability and adaptability of open source solutions make it a first-class choice for building this large-scale solution. Beyond technology, another key success factors for the Nexsis project are partnership and skills. NexSIS is build with an agile in-house team working in scrum mode. Product Owners are firemen working closely together with GIS experts and core Open Source developers. We will show how solutions like Postgresql / PostGIS, Geoserver, OpenLayers and others are capable of meeting the challenges of an operational rescue system intended to save lives every day. Authors and Affiliations – Frederic Jacon Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: The NexSIS project : Open Source softwares for civil protection geo-intelligence


uk: Комп'ютерні науки

description: This work describes geoserver-rest, an open-source python package that can manage the geospatial data in a geoserver which is helpful for uploading, editing, and deleting the raster/vector layers from various sources. It is also useful for generating the style/legend from the uploaded geospatial data. Thus, generated legend can be used for visualization of maps in the web-GIS platform. The package is successfully used to build the web-GIS portal for agricultural datasets of Afghanistan, which has around 6000 map layers. The main benefit that geoserver-rest provides to this project is the ability to upload the data to the geoserver and create the styles file dynamically. Thus, created style files are directly linked to the corresponding layer and provide the Web Mapping Service (WMS) standard and visualize in an interactive way. The geoserver-rest is the open-source spatial data management library written in python based on the geoserver API. Python is the chosen language because it is easy to use, object-oriented runs on all the major Operating Systems (OS) and already has thousands of libraries and frameworks. It is one of the leading technologies for web development. Implementation of geoserver-rest in python will significantly enhance the approach of GIS application development. Since the package is developed in the python library, it can be useful for the web platform as well as desktop applications development. Rather than serving the data in client and server, it also generates the style files and creates the legend dynamically by reading the uploaded dataset. The automation for geospatial data sharing and dynamic style creation feature makes it unique and more popular and useful in the latest web-GIS development works. It will be very helpful for editing, updating, and deleting large sets of data. Authors and Affiliations – Tek Bahadur Kshetri (1) Angsana Chaksan (1) Shraddha Sharma (1) (1) Geoinformatics Center (GIC), Asian Institute of Technology (AIT), Thailand Requirements for the Attendees – Basic knowledge of geoserver Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: The role of open source python package geoserver rest in Web GIS development


uk: Комп'ютерні науки

description: GIS in water services providers can become a big task and difficult to do it in a practical and accountable manner. Before implentation of GIS one should ask the following three main questions: 1. Why do I need to use opensource softwares? 2. Which are the softwares? 3. How are software used? We are going to answer these questions. Welcome. Use case of Nakuru Water and Sanitation Service company where data collection was done using Garmin GPS which was then replaced with GeoODK and ultimately QField. QFieldSync plugin helps in preparation and packaging QGIS projects for QField. Management of water cycle is better with the Giswater software, with different user functionalities which defines the users work since a single employee is not overseeing the whole process of water cycle in an organisation. Modelling software EPANET and EPA SWMM is easily integrated with Giswater too. GeoServer becomes a good software for development of web based applications for sharing GIS data easily. Authors and Affiliations – Geoffrey Kirui, the lead consultant at GIS For Water and Sanitation, Nairobi, Kenya. Requirements for the Attendees – Requirements are basic knowledge in QGIS, PostgreSQL and PostGIS, GISWATER and GeoServer and modelling software EPANET and EPA SWMM. PostgreSQL: https://www.postgresql.org/ Giswater: https://www.giswater.org/descarga/ QGIS: https://qgis.org/en/site/forusers/download.html GeoServer: http://geoserver.org/download/ Modelling software EPANET: https://www.epa.gov/water-research/epanet EPA SWMM: https://www.epa.gov/water-research/storm-water-management-model-swmm Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: Use of open source software in GIS by water services providers.


uk: Комп'ютерні науки

description: During the remote learning necessitated by the COVID-19 pandemic, university GIS students did not always have home access to the kinds of software and hardware that they would ordinarily get in their on-campus lab facilities. In this situation, the free and cross-platform nature of FOSS opened the door for some students to continue their GIS education uninterrupted. I describe how one university allowed students to choose FOSS such as QGIS, PostGIS, and GeoDa as alternatives to proprietary software in upper-division GIS coursework. These were used to teach techniques such as point pattern analysis, visibility analysis, hydrological modeling, proximity surfaces, LISA analysis, process modeling, open data access, and data summation. I share specific software tools, commands, and plugins used to apply these techniques in lab assignments. I discuss how these approaches can form a lasting part of the GIS curriculum beyond the pandemic, and how students can position these FOSS skills as they prepare for the GIS job market. The GIS teaching lab at Central Washington University (CWU) in Ellensburg, Washington, USA consists of thirty 64-bit Windows machines with Intel i5-6500 CPUs and 16 GB of RAM, from which Esri ArcGIS Pro software has traditionally been the primary tool of instruction. Beginning in April 2020 with only a few weeks of warning, all the university’s courses moved online in response to the global outbreak of COVID-19. Suddenly, students were attempting to complete the GIS coursework from home on Macs, 32-bit Windows, and 64-bit Windows, with widely varying amounts of memory and processing power. This presentation describes how faculty, staff, and graduate assistants worked together to produce alternative instruction materials using FOSS, thereby allowing students to continue their degree programs. Specific tools, plugins, and commands useful for teaching GIS concepts are shared. Authors and Affiliations – Sterling Quinn Assistant Professor and GIS Program Director in the Department of Geography at Central Washington University. His research interests include crowdsourced data, FOSS adoption, critical cartography, and Latin America. He teaches courses on GIS, South America, and resource management. Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: Using FOSS to teach university GIS courses online: lessons learned during a pandemic


uk: Комп'ютерні науки

description: Using Jupyter Notebooks for viewing and analyzing geospatial data: Two examples for emotional maps and educational data This research presents two applications developed using Jupyter Notebook in the Google Colab, combining several Python libraries that enable an interactive environment to query, manipulate, analyse, and visualise spatial data. The first application is from an educational context within the MAPFOR project, aiming to elaborate an interactive map of the spatial distributions of teachers with higher education degrees or pedagogical complementation per vacancies in higher education courses. The Jupyter solutions were applied in MAPFOR to better communicate within the research team, mainly in the development area. The second application is a framework to analyse and visualise collaborative emotional mapping data in urban mobility, where the emotions were collected and represented through emojis. The computational notebook was applied in this emotional mapping to enable the interaction of users, without a SQL background, with spatial data stored in a database through widgets to analyse and visualise emotional spatial data. We developed these different contexts in a Jupyter Notebook to practice the FAIR principles, promote the Open Science movement, and Open Geospatial Resources. Finally, we aim to demonstrate the potential of using a mix of open geospatial technologies for generating solutions that disseminate geographic information. Authors and Affiliations – Gabriele Silveira Camara Federal University of Parana, Brasil. Graduate Program in Geodetic Science. Silvana Philippi Camboim Federal University of Parana, Brasil. Graduate Program in Geodetic Science. João Vitor Meza Bravo Federal University of Uberlandia, Brasil. Institute of Geography, Graduate Program in Geography and Graduate Program in Agriculture and Geospatial Information. Requirements for the Attendees – https://github.com/GabrieleCamara/emotional_maps/blob/master/visualizer_emotional_maps.ipynb https://github.com/GabrieleCamara/Mapfor/blob/main/maps_mapfor.ipynb Track – Academic Topic – Open and Reproducible Science Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації


uk: Комп'ютерні науки

description: A sensor network based on IoT and istSOS to analyse the catch basin environment in the context of the Ae.Albopictus proliferation in Switzerland. In Switzerland there is an increasing awareness for the expansion of invasive foreign mosquitoes species, such as Aedes Albopictus also known as Asian tiger mosquito, because of their ability to transmit arboviruses (e.g. dengue, chikungunya). These species' prolification are particularly dependent on some environmental parameters such as temperature and rain patterns. In literature there are many studies that analyzed the potential of the proliferation in function of the temperature and they showed an increasing egg mortality when temperatures are below 2° Celsius for a sufficient period of time. Although the Ae. Albopictus can potentially reach the North of the Alps exploiting the traffic crossing the country, according to predictions based on climate driven large-scale model it can proliferate in part of the Swiss Plateau and in the area of the Lake Geneva while other areas, such as Zurich and Basel, seems currently to have too cold winter seasons for the survival of the eggs. However, the increasing of the temperatures due to the climate change, the presence of urban heats and of particular micro-habitats can favor the survival of the disposed eggs. The monitoring of such micro-areas allows us to better understand the environmental conditions and act in time to monitor or even prevent the establishment of such invasive species. In this context, the ALBIS (a new integrated system for risk-based surveillance of invasive mosquito Aedes albopictus in Switzerland) project aims at monitoring Ae. albopictus by making data analysis more automated, more dynamic and efficient in order to study the possible migration and establishment of the mosquito in areas where apparently the cold weather conditions during the winter season are not suitable for its proliferation. This is possible through the integration of multidisciplinary aspects such as mosquito surveillance expertise, data monitoring system and population modelling to support the activities of the newly created National Coordination Center for the Monitoring and Control of Invasive Mosquitoes, managed by the Laboratory of Applied Microbiology of the University of Applied Sciences and Arts of Southern Switzerland (LMA – SUPSI). Authors and Affiliations – Strigaro, Daniele (1), Cannata, Massimiliano (1), Ravasi, Damiana (2), Flacio, Eleonora (2), Antonovic, Milan (1) (1) Institute of Earth Sciences, SUPSI, Mendrisio, Switzerland (2) Laboratory of applied microbiology SUPSI, Mendrisio, Switzerland Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: A sensor network based on IoT and istSOS to analyse the catch basin environment in the catch basin environment in the context of the Ae. Albopictus proliferation in Switzerland


uk: Комп'ютерні науки

description: In this talk, we propose sharing our progress towards implementing a nationwide system which aims to locate vulnerable community sprawls and assess poverty status between census years, using satellite imagery. In the process discussed, we will develop the capabilities to track differences in gap years and estimate people's wealth status in new and modified settlements. Crucially, we intend to contribute to estimates from ground truth data obtained with local surveys. The outcome of this project will be a system with the ability to track vulnerable communities during census gap years based on deep learning and employing a blend of multispectral and multisensorial satellite imagery and ground surveys. This will enable us to assess our algorithms' performance and provide relevant feedback to the inference mechanisms. Please see the abstract above. Authors and Affiliations – Elio Atenogenes Paloma Merodio Jimena Juarez Joaquín Salas Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

uk: вхід без авторизації

name: A study in vulnerable settlements using remote sensing and census data


uk: Комп'ютерні науки

description: Insurance companies can underwrite millions of locations and having too much risk in one place can mean the difference between profit and loss. In this session we will explore the business challenge and understand how a geospatial platform based on Elasticsearch and the Uber H3 spatial index can help insurers make better decisions. Insurance companies can underwrite millions of locations through complex distribution networks of brokers and direct channels and having too much risk in one place can mean the difference between profit and loss, In extreme cases a catastrophic event such as 9/11 could bring down the company completely. In this session we will explore the business challenge and understand how a geospatial platform based on Elasticsearch and the Uber H3 spatial index can help insurers make better decisions and avoid accumulation issues. The techniques that we will demonstrate are applicable to many real-world problems where we have large amounts of data that need to be visualised and analysed in real-time. Authors and Affiliations – Mark Varley, Addresscloud, United Kingdom Track – Use cases & applications Topic – Business powered by FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

uk: вхід без авторизації

name: Aggregating global insurance risk in real-time using Elasticsearch and H3


uk: Комп'ютерні науки

description: Building DCP's Housing Database, NYC Planning's Data Engineering team's latest data product In 2020, while from working from home, NYC Planning's Data Engineering team in collaboration with the Housing Economic and Development team built and released to the public DCP's Housing Database, which contains all NYC Department of Buildings (DOB)-approved housing construction jobs filed or completed in NYC since January 1, 2010 that add or remove residential units. During this talk NYC Planning's Data Engineering team will share how we built a new NYC Open Data product using open data and open source technologies, including PostgreSQL/PostGIS, GDAL, and GitHub Actions, highlighting the work done by NYC Planning's Data Engineering team to create open data openly. At FOSS4G NA 2019 San Diego I presented how NYC Planning's Data Engineering team reverse engineered PLUTO, NYC’s definitive tax lot dataset, and moved the development process off of the mainframe and into PostgreSQL/PostGIS. Since then, the team has grown and improved how we build NYC's premier open data products using free and open source technologies including PostgreSQL/PostGIS, GDAL, Streamlit, and GitHub Actions. In 2020, while at working from home, we built DCP's Housing Database, which contains all NYC Department of Buildings (DOB)-approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. At FOSS4G 2021 we'd like to share how we built a new NYC Open Data product using open data and open source technologies, highlighting the work done by NYC Planning's Data Engineering team. Authors and Affiliations – Doyle, Amanda (1) Cao, Baiyue (2) Graber, Molly (3) NYC Department of City Planning, Enterprise Data Management, Data Engineering, United States, New York, NY Track – Open data Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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name: Building DCP's Housing Database, NYC Planning's Data Engineering team's latest data....


uk: Комп'ютерні науки

description: There’s a staggering amount of optical satellite data from the European Copernicus program. A large proportion of this data is not usable due to the intense cloud coverage many regions face during different periods of the year. Detecting clouds from optical satellite data is a crucial step for analysing the data. This presentation dives into the technical challenges and decisions we met during the design and implementation of a fully automated data pipeline for the United Nations Peace Operations to generate timely updated, cloud-free satellite imagery from high-resolution open data. Most peace operations are in tropical regions and prone to persistent cloud coverage throughout the year. Open Data Cube (ODC) was utilised as the data platform of choice for harnessing the satellite data. ODC is an Open Source Geospatial Data Management and Analysis Software project that enables the use of satellite data in its broadest sense. ODC is a server-side software capable of processing and sharing immense amounts of satellite data. The project was implemented as part of the United Nation’s Open GIS initiative (UN Open GIS). With frequently updated, openly accessible satellite data and automatised processing it is possible to effectively monitor and evaluate different planetary changes. Cloud detection is inherently a part of analysing and working with optical satellite imagery such as Sentinel-2 data. In this presentation, we will discuss the data pipeline for automatising the data indexing, cloud detection, and image mosaicing process implemented with Open Data Cube (ODC). ODC is an open source server-side software capable of processing and sharing immense amounts of satellite data. The project was implemented as part of the United Nation’s Open GIS initiative (UN Open GIS) and sought to enforce the Open Source GIS bundle that the UN operations are building principally for both peace-building and peace-keeping, but also for strengthening UN’s overall capabilities to use and leverage open source geospatial software as a global digital public good. At the same time, the agility and readiness of the UN cloud based infrastructure at UNGSC will be put into deal with operational challenges. As a data source, we used optical satellite imagery derived from the European Copernicus Sentinel-2 mission. Sentinel-2 mission provides high-resolution satellite imagery and aims at monitoring different land conditions. The mission has a wide swath width (290 km) and a low revisit time (10 days at the equator with one satellite, and 5 days with 2 satellites). Sentinel-2 data is shared as open data and it is easy to access. The data pipeline was designed to use Sentinel-2 data from the “Registry of Open Data on AWS”. The adapted data processing and cloud detection workflow is also planned to be tested with other high resolution satellite imagery. In the presentation, we will share insights on how the cloudless mosaic creation pipeline was designed, what cloud-based data processing infrastructure and which cloud detection algorithms we used, and which were some of the use cases that we tackled. Automated storing, processing, and sharing of optical satellite imagery is a widespread challenge as the world cumulates terabytes of data from different satellite data missions. This presentation contributes to solving this challenge by sharing insights on the use of ODC as part of the open source software stack for addressing these needs, in addition to the utilisation of Sentinel-2 as the main optical satellite imagery data source. Authors and Affiliations – Vaaltola, Mikael (1) Laine, Joona (1) Sarkola, Pekka (1) Pyykkönen, Santtu (1) Thang, Cung (2) Zhao, Yongping (2) Stewart, Jonathan (2) Ubukawa, Taro (2) Obukhov, Timur (2) Khan, Zeeshan (2) (1) Gispo Ltd., Finland (2) United Nations Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: Cloud-free satellite imagery for UN Peace Operations


uk: Комп'ютерні науки

description: COVERAGE: A Prototype Open Source Technology Platform Enabling Enhanced Access to Inter-agency Satellite Data Products in Support of Ocean Sustainability Applications COVERAGE seeks to provide improved access to multi-agency ocean remote sensing that are better integrated with in-situ and biological observations in support of science and decision support applications for societal benefit. COVERAGE is an international initiative and 3-year pilot project within the Committee on Earth Observation Satellites (CEOS) with links to GEO-MBON and GEO-Blue Planet. It focuses on implementing open source technologies, including cloud-based solutions, to provide a data rich, web-based platform for integrated ocean data delivery and access: multi-parameter observations, easily discoverable and usable, organized thematically, available in near real-time, and complemented by a set of value-added data services, including visualization and analytics. COVERAGE development is organized around priority use cases identified by agency partners. Here we provide an overview of the initiate and technology aspects. Emphasis is also placed on describing the thematic demonstration on the dynamics of high seas tuna fisheries in relation to the environment. Please see the abstract above. Authors and Affiliations – NASA, JPL Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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name: COVERAGE: A Prototype Open Source Technology Platform Enabling Enhanced Access to Inter-agency Satellite Data Products in Support of Ocean Sustainabiltiy Applications


uk: Комп'ютерні науки

description: La Reserva Comunal Amarakaeri es un área natural protegida en la selva Sur del Perú ubicada en la región de Madre de Dios, provincia de Manu. Fue creada en 2002 a petición de los Pueblos Indígenas Harakbut, Yine y Matsiguenka, los habitantes del territorio desde tiempos ancestrales. Actualmente el área es gestionada de manera conjunta entre las comunidades indígenas representadas por el ECA-Amarakaeri y el Servicio Nacional de Áreas Naturales Protegidas por el Estado del Perú (SERNANP). La cogestión de la Reserva Comunal Amarakaeri viene apostando por el uso de herramientas tecnológicas para fortalecer su sistema de vigilancia y control. Entre ellas se encuentra MAPEO, un sistema gratuito de código abierto para el mapeo y monitoreo territorial. Desde 2018, los vigilantes comunales y los guardaparques del SERNANP están usando el aplicativo MAPEO Mobile en celulares smartphone para recoger información durante los patrullajes. Por otro lado, los coordinadores y equipo técnico del área de vigilancia y control usan el programa MAPEO Desktop para visualizar y analizar la información recogida y generar informes de patrullaje para uso interno en la gestión de la RCA y para compartir con entidades externas con el objetivo de intervenir sobre las actividades ilegales encontradas. Entre las ventajas de MAPEO destacan el envío de alertas inmediatas a través de correo electrónico o Whatsapp y la inexistente necesidad de internet a la hora de usar el aplicativo y sincronizar bases de datos entre celulares y computadoras de un mismo proyecto. MAPEO permite la recogida de información geoespacial, imágenes y texto con el celular y, además, permite la personalización de las categorías, los iconos y los formularios usados para recoger información. Por último, el sistema MAPEO garantiza la soberanía de datos por parte de sus usuarios, ya que no necesita de un servidor central externo. En esta presentación descubriremos las funciones del aplicativo MAPEO y como viene siendo aplicado por el Estado y los pueblos indígenas en la conservación de su territorio ancestral, hoy reconocido como Área Natural Protegida Reserva Comunal Amarakaeri. A través de este sistema se contribuye a la conservación y complementa la implementación de la propuesta de acción climática REDD+ Indigena Amazónica (RIA), aportando hacia las Contribuciones Nacionalmente Determinadas (NDC). Las reservas comunales son una categoría de Áreas Naturales Protegidas en el Perú que se crean a petición de los pueblos indígenas que viven alrededor. Actualmente existen 10 reservas comunales, las cuales cuentan con una organización nacional que las representa: la Asociación Nacional de Ejecutores de Contratos de Administración de la Amazonía Peruana (ANECAP) y que trabaja de manera articulada con el Servicio Nacional de Áreas Naturales Protegidas por el Estado (SERNANP) en representación del Estado peruano. Las reservas comunales se administran en cogestión, que es un ejercicio intercultural donde se comparten roles y funciones indelegables entre pueblos indígenas y el Estado, basado en los principios de interculturalidad, confianza y transparencia. Todo ello para lograr la igualdad de condiciones para el desarrollo pleno de los pueblos, de tal forma que se garantiza la buena gobernanza. La Reserva Comunal Amarakaeri actualmente demuestra el 98.51 % de estado de conservación gracias a este trabajo de sinergia. Actualmente se está trabajando en la inclusión de la tecnología en el sistema de vigilancia y control, donde los pueblos indígenas son los verdaderos protagonistas. Por ello, creemos importante que se tome en consideración nuestro trabajo. La Reserva Comunal Amarakaeri recibió el Premio Ecuatorial 2019 por la buena gobernanza y gestión. Asimismo, desde 2018 forma parte de la lista verde de la UICN. Authors and Affiliations – Quertehuari Dariquebe, Walter (1) Tayori Kendero, Luis (1) (1) Ejecutor del Contrato de Administración de la Reserva Comunal Amarakaeri (ECA Amarakaeri) Track – Use cases & applications Topic – Indigenous Mapping / Pueblos Originarios Level – 1 - Principiants. No required specific knowledge is needed.

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name: El uso del aplicativo de codigo abierto MAPEO en la Reserva Comunal Amarakaeri, Peru


uk: Комп'ютерні науки

description: The main question around which the contents of the paper presented here are articulated is: How can FOSS GIS support the triggering of generative economy processes in small settled communities? The paper answers this question by proposing a toolbox made up of specific Open Geospatial Data that can be processed through FOSS GIS, these data consist of specific maps, accompanied by numerical values. The information collected is intended to lay the foundations for an open access manual of procedures to support the creation of an open shared database. This manual, currently under development, is created within a basic research funded by the Politecnico di Milano and is an integral part of an experimental game aimed at supporting students in the development of local self-sustainability scenarios. The manual is called the GED Toolkit. The acronym GED stands for Generative Environmental Design, with this term we refer to an approach to the design of the anthropized environment oriented towards the development of generative economies. This last term in particular refers to what is defined in the works of Marjorie Kelly (Owning Our Future, 2012), in this regard the author writes: “It's a corner of the economy (hopefully someday much more ) that's not designed for the extraction of maximum financial wealth, Its purpose is to create the conditions for life". Kelly and Ted in this regard present 7 basic principles that identify the characteristics of a generative economic process (Kelly, Ted, 2019). The paper illustrates how from real good practices consistent with these principles, the information concerning them can be translated into meaningfull maps. The latter are useful in the first place to understand the systemic characteristics of the practice itself and the relationship with the territory that hosts it, and secondly to verify the possible transferability to other contexts. The transposition of good practice features into georeferenced maps is carried out firstly by building specific Impacts Geographies (IGs) associated with the activities that characterize it, and secondly by testing the potential for use of the IGs in verifying compliance with the 7 principles of generative economic processes. Impact Geographies (IGs) are characterized by a common structure consisting of georeferenced vectors representative of the main supply chain phases of a general product or facility. By supply chain we mean the entire life cycle of a material or energy product, from production / extraction, to consumption and to the end of life of any kind of waste associated with the same chain. Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required.

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name: GED -Toolkit: Open Geospatial Data and tools to support generative economic process in local communities.


uk: Комп'ютерні науки

description: GeoBlaze is a blazing fast raster analysis engine written in pure JavaScript. This talk will go over code samples, showing how to use this library to compute statistics for select areas in GeoTIFFs. GeoBlaze is a blazing fast raster analysis engine written in pure JavaScript. This talk will go over code samples, showing how to use this library to compute statistics for select areas in GeoTIFFs. Track – Software Topic – Software/Project development Level – 3 - Medium. Advanced knowledge is recommended.

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name: GeoBlaze: a Blazing Fast Raster Analysis Engine written in Pure JavaScript

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Geographic Information Systems (GIS) Integrated with Virtual Reality: examples from Polar Knowledge Canada's (POLAR) Canadian High Arctic Research Station (CHARS) Geographic Information Systems (GIS) offer proven mechanisms to present data from science/research, business, and innovation fields, in forms that users can understand and wield for decision making.? GIS translates raw numbers into images, scenes, charts and graphs that bring immediate understanding to users. However, viewers of these data are outside observers, separate and detached from these data. This presentation showcases how users can be immersed in data, as participants in the data, using Virtual Reality. We are using Polar Knowledge Canada's (POLAR) Canadian High Arctic Research Station (CHARS) Campus in Cambridge Bay Nunavut Canada as the stage for applying virtual Reality (VR) to science, health and safety, geomatics, and programs development. This presentation will address four key elements required to deploy your own solution; 1) Real world applications of VR enhancing Geoinformatics data; 2) VR FOSHardware; VR hardware solutions, and commercial hardware options; 3) FOSS applications for VR: Blender and BlenderXR, BlenderGIS, BlenderMultiUser, OpenDroneMap, CloudCompare, Dust3D, and Meshlab; 4) Bringing Geoinformatics data into VR environments / Bridging the data worlds of Geoinformatics and VR: Interoperability data formats; Basic workflows; and Managing incompatible high-offset Coordinate Systems. In addition, we present three examples of applications; a) Remote site familiarization with a focus on field safety; b) Evaluating Candidate Site Development Plans; and c) Understanding Hydrography, Watersheds, and environmental pollutant migration. Moving on, we extend the scope with a review of the free resource repositories: models, environments, materials, DEMs (ArcticDEM in particular) and draped Imagery. Lastly, we engage in a discussion about the future of VR in Geoinformatics. Overall, this presentation will allow attendees to develop an understanding of how VR enhances GIS by reviewing the successes of POLAR's VR solutions, how to move data from GIS environments to modeling environments, and future applications of VR, all using free and open-source solutions. Lise Thibodeau, PhD, Polar Knowledge Canada Requirements for the Attendees – If presentation: None If considered for workshop: personal laptop with Internet connectivity (See note from previous page) Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required.

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uk: Комп'ютерні науки

description: The last year has seen a huge increase in the number of software tools and public catalogs made available as SpatioTemporal Asset Catalogs. NASA has made their Common Metadata Repository (CMR) available via a STAC compliant API, exposing petabytes of freely available data. Microsoft has launched the Planetary Computer that exposes datasets through a STAC API. E84’s Earth-Search provides a STAC API for public datasets on AWS. Google now provides a STAC Catalog for all their datasets available on Google Earth Engine. It’s great that all this data is available because it allows the user of a common set of tools to interact with that data. But, what are those tools? Given a STAC API with data of interest how does one go about searching and accessing that data? This talk will give an overview of several publicly available STAC API endpoints and how to use several open-source tools with them. It will be demonstrated how to use libraries such as PySTAC and PySTAC-Client to open and quickly search catalogs, and access the assets for different tasks through libraries such as intake-stac, stac-vrt, and stackstac. Finally, attendees will learn best practices to create their own STAC metadata and catalogs for derived data, allowing data provenance to be tracked from new data back to it's source. This will be tutorial on using open-source STAC tools for searching and using popular public datasets available from NASA and through major cloud providers. Authors and Affiliations – Hanson, Matthew (1) (1) Element 84 Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: Getting started with STAC for public datasets


uk: Комп'ютерні науки

description: Imperial Beach, CA is a small city in San Diego county, California. The GIS department faces budget and staffing challenges common to many small cities. To overcome these challenges, I have used a combination of commercial and open-source software. incorporating a PostgreSQL/PostGIS database, and ArcGIS for viewing. As with any organization, needs change, and these have resulted in moving away from a focus on the desktop, to a web viewer for most GIS needs. As it happens, this platform has its underpinnings firmly in the FOSS arena. At the same time, the timing was right to shift my primary editing and mapping on the desktop to QGIS. Going in the opposite direction to a degree, the need has also arisen to utilize different Esri software to support other city software needs, and thus a process has been developed to transfer data as necessary. In this presentation I will detail how the GIS is being restructured to serve multiple data endpoints with a minimum of duplication. This is accomplished through a combination of the existing database, moving data to Amazon AWS, and adding some programming to tie it all together. Through it all, the pieces that I do pay for act as a multiplier on the results I would be able to achieve by doing things myself. In many cases, the funds are going to development of applications, or technical support, with concrete benefits, as opposed to paying for licensing. When all is said and done, by judicious utilization of FOSS geospatial, you don't need a huge budget to have a highly flexible, expandable system to meet the needs of multiple departments, staff and software. A bit of history will help where I am now, make more sense. When I arrived at the city in 2011, there was no GIS infrastructure aside from a file server. I implemented an Esri-based system using a single desktop license with a viewing software extension. I knew about this from past work, and knew it would be appropriate for this situation, at least to get started. My shift to FOSS began as I expanded more multi-user capable options for storing and accessing data. The options were limited, and as I was to find, cost prohibitive for a small city. We simply didn't have the budget to afford the licensing I would need. I had some prior knowledge of PostgreSQL, but had never installed or used it. That changed in 2014-15, with basic installation and some minor testing. The results were positive, and I had to make a choice of which way I was going to go. I started migrating data into Postgres, and have not looked back. That was the first major step. What follows has been adding on parts as new needs have arisen, and making sure they all work in a cohesive manner. I am primarily a data person, so my focus has always been that the authoritative data should live in a single location, and everything should pull or push to that source. (1) GIS Administrator, City of Imperial Beach, CA, USA Track – Transition to FOSS4G Topic – Government and Institutions Level – 2 - Basic. General basic knowledge is required.

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name: GIS for Small Cities - A Hybrid Approach


uk: Комп'ютерні науки

description: Seagrasses provide many ecosystem services such as habitat provisioning, biodiversity maintenance, food security, coastal protection, and carbon sequestration. With the projected temperature extremes and sea level rise due to climate change, these important ecosystems are highly threatened. Conserving these important ecosystems requires accurate and efficient mapping of its distribution and trajectories of change. Unfortunately, the spectral similarities between the seagrass and optically deep water pixels in the satellite images, or dark pixel confusion, causes potential classification errors. Within the context of the Global Seagrass Watch project, funded by DLR and supported by the GEO-GEE program, we develop a novel open method within the Google Earth Engine platform to identify and mask out these optically deep water pixels on open Sentinel-2 satellite data. This method yields less confusion and results in a more accurate seagrass detection which could benefit scientists focused on seagrass-related climate science. Please see the abstract above. Lightning talk, Climate Action Track – Open data Topic – Sensors, remote sensing, laser-scanning, structure from motion Level – 2 - Basic. General basic knowledge is required.

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name: Improving Seagrass Detection Through A Novel Method For Optically Deep Water Masking


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description: pygeometa is a powerful and simple metadata transformation utility using YAML configurations. This lightweight and flexible tool can be used standalone or as part of larger systems, helping make geospatial metadata workflows easier by reducing repetition and overhead of formal metadata standards. pygeometa is to geospatial metadata as what Sass is to CSS. Come and check out our first ever presentation! pygeometa provides a lightweight and Pythonic approach for users to easily create geospatial metadata in standards-based formats using simple configuration files (affectionately called metadata control files [MCF]). Leveraging the simple but powerful YAML format, pygeometa can generate metadata in numerous standards. Users can also create their own custom metadata formats which can be plugged into pygeometa for custom metadata format output. For developers, pygeometa provides a Pythonic API that allows developers to tightly couple metadata generation within their systems and integrate nicely into metadata production pipelines. The project supports various metadata formats out of the box including ISO 19115, STAC, the WMO Core Metadata Profile, and the WIGOS Metadata Standard. pygeometa has minimal dependencies (install is less than 50 kB), and provides a flexible extension mechanism leveraging the Jinja2 templating system. pygeometa is open source and released under an MIT license. This presentation will provide an overview of the project as well as key usage examples in WMO, open data and EO communities/projects. Track – Software Topic – Standards, interoperability, SDIs Level – 1 - Principiants. No required specific knowledge is needed.

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name: Introducing pygeometa: Metadata creation for the rest of us


uk: Комп'ютерні науки

description: Mapping, sharing, and protecting Indigenous oral histories using the open-source tool Terrastories For hundreds of years, elders in Indigenous communities have shared their stories, their memories and their histories about their ancestral territory with their children and grandchildren. Without written languages, Indigenous cultures depend on stories and the generational bonds created through oral tradition to learn about the historical and cultural significance of their homelands. As colonization, deforestation and acculturation creep deeper into the Indigenous ways of life in the Amazon rainforest and elsewhere, that living memory is harder and harder to transfer from generation to generation. Consequently, younger Indigenous people do not get the opportunity to develop the same intimate relationship to the territory as their elders have. To help keep Indigenous stories and storytelling traditions alive, we developed a methodology and built an accompanying free and open-source application called Terrastories. The application is available for any community in the world to map their oral histories, enable youth to learn about their culture in a fun and interactive way, and maintain sovereignty over their own data by making decisions about which stories are restricted and which are shared publicly. In this talk, I will present on the unique context in the Amazon rainforest in which the idea for Terrastories was born; talk about our journey into open-source development, and some of the lessons learned in managing an open-source community of volunteer software engineers; give a short demonstration on how the Terrastories application works; and conclude by posing some difficult questions around consent and data protection. Authors and Affiliations – Kemper, Rudo. Digital Democracy. Track – Use cases & applications Topic – Indigenous Mapping / Pueblos Originarios Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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description: Mapping pedestrian infrastructure on OpenStreetMap has entered a new age. With the latest AI-powered mapping tools from Facebook, sidewalks and crosswalks visible in Mapillary imagery can now be easily translated into geospatial data, representing the network of routable features on the map. Sidewalks are historically under mapped in OpenStreetMap, with many towns and cities worldwide showing only roads. For the pedestrian, adding sidewalks to the map, as well as using a map with accurately displayed footways, is a frequent challenge. This is all changing with a new workflow that uses computer vision to derive sidewalks and crosswalks from Mapillary street-level imagery and predict their geospatial locations. Join us in this session to learn more about how we created a sidewalk and crosswalk network from street-level imagery, and how to use the latest tools to map a sidewalk near you. At Facebook, we are working on the latest AI-powered mapping tools to help generate a large scale open dataset of sidewalks, derived entirely from user contributed street-level images to Mapillary. This project focuses on three main aspects: 1) an overarching goal of turning user contributed imagery into user-contributed sidewalks and crosswalks 2) solving the challenge of how exactly a street-level imagery and computer vision detected sidewalks can be projected onto the map as sidewalk and crosswalk data 3) presenting the OpenStreetMap community with a robust, practical, and well-crafted tool for creating maps with this sidewalk and crosswalk data The role of the community is key in both being able to capture Mapillary imagery as well as map sidewalks derived from their own imagery. The community can provide both the input and the output of this workflow. The more imagery a community captures, the more the available sidewalk data scales in previously unmapped areas. The Facebook team has focused on finding the best method of converting street-level imagery from Mapillary contributors to a spatial network of line data. Many steps are involved in order to provide clean data that accurately indicates where sidewalks and crosswalks may exist, and where human validation can be applied. In addition, the Facebook team has developed the most effective interface and workflow for working with this data, truly empowering a mapper to add new map data with quality and scale like never before. Authors and Affiliations – Beddow, Christopher (1) (1) Facebook Reality Labs, Mapillary Track – Use cases & applications Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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name: Mapping Pedestrian Ways with Computer Vision and Street-level Imagery


uk: Комп'ютерні науки

description: Marine Regions is a LifeWatch-sponsored project whose purpose is to create a standard list of geographic names coupled with information and maps of their location. In August 2020, Marine Regions released a brand new data product: the High Seas. This data product delimits all parts of the ocean that are not under the control of any single nation (sometimes referred to as ‘international waters’). The dataset is a valuable addition to the already existing data products hosted by Marine Regions. As such, it will further benefit global ocean conservation initiatives and global fisheries management. For this new product, the Marine Regions team consciously made the decision to shift to FOSS tools. This has led to an improved and more reproducible workflow, leveraging the full potential of a suite of FOSS: QGIS, PostgreSQL/PostGIS, GeoServer and GeoNetwork. To make users more familiar with the OGC web services to consult and download the data, the web services tutorial page has been revamped. Additionally, the Marine Regions download page also offers GeoPackages as its first download option for all its products in order to encourage the adoption of open data formats. We discuss in detail how we use these FOSS tools throughout the various steps to create such a global GIS data product. One of those steps is for example the creation of a Pacific-centered version of the High Seas, for which various methods in R, QGIS and PostGIS were examined. Finally, we pinpoint remaining challenges that we would like to see resolved in the future. More info: www.marineregions.org. Contact: info@marineregions.org. Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed.

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name: Marine Regions’ open-border policy: creating global maritime boundaries with FOSS


OpenMapTiles: vector tiles from OSM

uk: Комп'ютерні науки

description: OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles to use as high-detailed basemaps. These vector tiles are ready to use in MapLibre, Mapbox GL, Leaflet, OpenLayers, QGIS as well as in mobile applications. Dockerized OpenMapTiles tools and schema are being continuously upgraded by the community (simplification, performance, robustness). The last release of OpenMapTiles greatly enhanced cartography and map styling possibilities such as generalizing shapes of buildings blocks. New contributions are checked and validated by GitHub Actions by continuous integration and automated performance tests. OpenMapTiles is also used for generating vector tiles from government open-data secured by Swisstopo. (1) MapTiler, Switzerland Track – Software Topic – Community & participatory FOSS4G Level – 2 - Basic. General basic knowledge is required.

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description: When designers think through a design, most reach for a pencil. Today it might be a $100 digital pencil, but the direct expression offered by sketch tools can offer an advantage over more sophisticated tools: it frees us from the burden of thinking about how to use the tool at hand, and lets us focus mental energy on the problem. What if we could bring the same simplicity to exploring spatial models? PaintTheMap is a web-based tool that provides a simple interface for rapidly testing ideas connected to data: sketch a quick idea and you’ll get instant feedback on the areas you’ve painted. Each paint color can be classified (eg. land use categories) and measurements are updated in real time. PaintTheMap is a slippy-map based solution that supports painting anywhere on a map across multiple zoom levels. Painted pixels can be used for take-offs to inform numeric models - or combined with raster data in real-time to run analysis. Under the hood, PaintTheMap uses a canvas that lets the user draw in screen-space over any map. As soon as the brush stroke is completed the ‘paint’ is transferred into any map tiles beneath the canvas on the current layer and areas are recalculated. When the user adjusts the map, the reverse happens: paint from the map tiles is transferred onto the drawing canvas. The result is a seamless, global painting experience that understands the scale of each pixel. In this presentation, we’ll show examples of how we’ve integrated the tool via an iFrame into a calculator for embodied carbon and share further customizations including providing an easy way to identify flooded areas and combining the painted tiles with GeoJSON to quickly test development strategies. We will outline the basic mechanics of our approach as well as discussing the challenges and limitations of our tile-based solution. You’ll learn how to set up a new instance of PaintTheMap and build it into web-based analysis tools. See https://github.com/sasakiassociates/paint-the-map for source code and more information. Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed.

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name: PaintTheMap: A Simple Web Interface for Geospatial Analysis and Dashboards


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description: The Geological Survey of Brazil has a library of palaeontology symbols to use in geological mapping works, currently in bitmap format and adapted for ESRI platform. This type of representation has presented anti-aliasing problems when reduced, in addition to not being suitable for map presentation on the web, according to OGC (Open Geospatial Consortium) specifications. This work presents a reproducible method in any symbol library type. The method consists of converting the symbol library to open-source format, resulting an OpenType font file, which can be installed on any operating system and view each symbol font in any software that has this functionality, such as a GIS (Geographic Information Systems) software. The need to develop font construction technique is due to improving typographic quality of cartographic representations and making library compatible with main GIS softwares. Those 61 pictorial palaeontology symbols were converted, one by one, to SVG (Scalable Vector Graphics) format. We imported each symbol as a glyph in FontForge font editor. Major computer platforms use OpenType format due to its wide availability and typographic flexibility, including provisions to deal with diverse characteristics of internationally symbolic alphabet systems. There is even the possibility of symbols standardizing in the UTF-8 alphabet system, an issue for the scientific community to study. The advantage of using the SVG format is its size, a compact text file, and has an excellent compression factor. In addition, version-control repositories, like GitHub, can store SVG files, which would facilitate content management. The adopted method proved to be applicable to any cartographic symbols library with good results. Rendering tests on different platforms (web or desktop) showed no noticeable differences. One of the most important aspects of the method presented in this work was to make cartographic symbols library public and open-source for use by the geoscientific community, regardless whether an open-source or proprietary platform is used, and so, the Geological Survey of Brazil will be able to distribute geological symbology patterns, according to Open Data definition. The open data repository is at: https://github.com/nds-cprm/geoscientific-symbolization Authors and Affiliations – Ferreira, Flavia R. ¹ Mota, Carlos E. M. ² Barcellos, Alvaro G. S. ² ¹ Geological Survey of Brazil – CPRM, Geological Infrastructure Board, Institutional Information Department, Geoscience Infrastructure Management, São Paulo, Brazil - flavia.ferreira@cprm.gov.br ² Geological Survey of Brazil – CPRM, Geological Infrastructure Board, Institutional Information Department, Data Science Research Group, Rio de Janeiro, Brazil - (carlos.mota, alvaro.barcellos)@cprm.gov.br Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: Portability of cartographic symbols library for open standards


uk: Комп'ютерні науки

description: Training deep learning models with geospatial imagery is hard. You need to transform the imagery to feed the neural network taking into account the geospatial side of the data. In this workshop, we show how to easily train and deploy deep segmentation networks like U-NET with geospatial imagery using the open-source library SatProc. SatProc library aims to detect and classify different objects of interest using satellige images and Deep Neural Networks, such as burned areas or informal assessments through massive areas. It is divided into four main steps. The former, downloads and preprocessing images for subsequent training of the model and future predictions over them. The second step is training the machine learning model. The third one is model prediction over a region of interest. And the last one results in post-processing and presentation. Each one is described in more detail next. The purpose of image pre-processing is to generate good quality and quantity set of images to train the model. Besides, as the model consists of a classification and segmentation neural network, we need a binary mask for each image that determines the object of interest to be classified in it. This Python (with TensorFlow) library has several features such as the creation of data sets for model training, which contains two folders. The first one with the images themselves and another one with a binary mask of the same size with delimitations of the object of interest. Training and prediction can be done with images of different sizes and intensities which can improve model quality and performance. The tool considers an original image and vectorial layers with the object of interest. In case we work with many categories then the mask will have a binary band for each one (N-Dim). The Model is a neural network with a U-Net architecture. It segments and classifies objects. On the one hand, the input is a set of images and masks, where each one is an N-dimensional binary image with many bands as categories to be analyzed. On the other one, the output of the model is an N-dimensional set of images in which each dimension corresponds to the prediction of each category. This means that the bands show a value between zero and one for each pixel. This model has the advantage to enable adding extra information to an image like a GIS layer to improve model performance. During the prediction process, all images of the area of interest are processed by the model. In this step, the image can have different sizes compared to the training data set as the model learns the patrons defining the objects, beyond their size. The post-process focuses on the quality of the results. In this step, the prediction noise is removed. In some cases, the results are converted into an Shp file to extract useful information such as the total area of prediction or to present them together with a map or other information layer. Requirements for the Attendees – Main repo (to be translated this month) https://gitlab.com/dymaxionlabs/meduy-ml Experience in Machine Learning and Python. Download sample imagery from cloud storage. Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 3 - Medium. Advanced knowledge is recommended.

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name: SatProc: an open-source library to train and deploy Deep Segmentation Neural Nets for geospatial imagery


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description: GeoPackage is becoming a pervasive tool to share data among systems. But how well does it transfer meta-information, and how well does it handle large datasets? The presentation will introduce the work GeoSolutions performed during OGC Testbed 16, to answer those questions. In addition to the above, we’ll discuss handling large raster GeoPackages with GeoServer. GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale. GeoPackage is becoming a pervasive tool to share data among systems. But how well does it transfer meta-information, and how well does it handle large datasets? The presentation will introduce the work GeoSolutions performed during OGC Testbed 16, to answer those questions. In particular: An introduction to two large vector datasets by Ordnance Survey, ZoomStack and MasterMap topography. Embedding full meta-information in a GeoPackage, including metadata, styles and icons, as well as operational pictures and provenance information. Handling arrays and enumerated fields in an efficient, queryable way. Optimizing the internal structure of a GeoPackage for more efficient data retrieval. Splitting large GeoPackages in parts to gain both efficiency and ease of update. In addition to the above, we’ll discuss handling large raster GeoPackages and how GeoServer handles all of the above. Authors and Affiliations – Andrea Aime (1) Simone Giannecchini (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com) Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: Serving large GeoPackage dataset in GeoServer: the OS MasterMap and ZoomStack use case


uk: Комп'ютерні науки

description: This research paper explores internal migration with FOSS4GIS technologies, such as Python, Geopandas and QGIS, to develop internal migration scenarios using spatial interaction models. Migration can be defined as the geographical mobility of people in order to change their usual residency, traversing the limits of geographically defined entities, like countries or states, for a considerable period of time. Migration, after fertility and mortality, is the third factor determining population change. Migration is understood as a socio-spatial phenomenon, as geographic space plays a relevant role in it’s origination and evolution, e.g.: facilitating migratory fluxes between neighboring regions, or by the contrary, discouraging migration between very distant or poorly connected regions. This research paper addresses internal migration and produces a future internal migration scenario using spatial interaction models as a method, applied on migration matrices based upon national census data. The data was processed and analysed using R and Python, specially the Python libraries Pandas, Geopandas and StatsModels. Authors and Affiliations – Guillermo D'Angelo, Universidad de la República, Uruguay. Track – Education & research Topic – Data visualization: spatial analysis, manipulation and visualization Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: Spatial interaction models, internal migration and FOSS4GIS


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description: I'll talk about the current state of mago3D project, an open source based Digital Twin platform. mago3D(https://github.com/Gaia3D/mago3djs) is a relatively new project first released in July 2017. The ultimate goal of mago3D project is developing an open source based digital twin platform that can replicate and simulate the real world objects, processes, and phenomena on web environment. mago3D is on its way to achieve this goal now. As a Digital Twin platform, it can integrate, manage, and visualize various kinds of data formats sucs as CityGML, IndoorGML, LAS, IFC, 3DS, and other popular GIS formats. It utilizes tons of open source projects as a baseline framework. mago3D has been used in various industry sectors including ship building, urban management, indoor data management, and national defense. In this talk I'll showcase several real projects that employed the mago3D and will talk about recent improvements and new features of mago3D. I'll give a talk about an open source project called mago3D, a digital twin platform on top of many FOSS4Gs. Authors and Affiliations – Sanghee Shin, Gaia3D Track – Software Topic – Software/Project development Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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name: State of mago3D, An Open Source Based Digital Twin Platform


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description: Many indigenous and non-indigenous communities have used mapping as a tool to protect their forests and territories. We share lessons learned using mobile and desktop based tools in a tropical setting in eastern Panamá, on the Darién forests near the border with Colombia. As part of our UNDP/SGP-funded project "Cartografía de los bosques del pueblo" (cartography of the people's forests) we supported local organizations in Darién, Panamá to map forests that were part of their community reserves. Our goal was to train local technical groups in mapping, where most communities had very limited experience with computers. We used various FOSS applications, including Geopaparazzi (for mobile mapping), Mapeo Desktop (community mapping), Magrit (training), IIAB (local offline servers) and QGIS. We share what worked, what didn't and why and discuss our methodology for community based mapping. Authors and Affiliations – Mir Rodríguez Lombardo, Fundación Almanaque Azul, Panamá Track – Use cases & applications Topic – Indigenous Mapping / Pueblos Originarios Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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name: The people's forests: Community based forest mapping in Darién, Panama


uk: Комп'ютерні науки

description: The status of GIS teaching in South African secondary schools including an evaluation of Free and Open Source Software for Geospatial (FOSS4G) using QGIS software and OpenStreetMap (OSM) data as teac South Africa is one of only a few countries that has Geographic Information Systems (GIS) in the secondary school curriculum. Of these few, SA is even more singular as its Geography syllabus includes GIS geoprocessing. The status of GIS teaching in secondary schools is investigated with the aim to determine if the use of Open Source software and data such as QGIS and OSM would facilitate the use of GIS as a teacher intervention. The data was collected by means of an online questionnaire and a smaller sample was interviewed. Results from this study show that only a minority of teachers teach practical GIS classes irrespective of their Examination Board, access to hardware, how resourced their school is or whether they teach at a private or a government school. The key determinants to teaching practical GIS lessons are the teacher’s perceived GIS expertise and access to GIS data and time. Software, connectivity, and power supply were also identified as challenges. Teachers who participated in the study overwhelming agree that there are numerous benefits to using GIS in the classroom. They also expressed a keen willingness to attend GIS courses and learn more about FOSS4G tools. A sample group evaluated how OSM could be used to create local GIS spatial data and how QGIS can be used to teach the GIS curriculum and used to map local data for individual research projects. FOSS4G empowers teachers with the means to create exciting, real, and relevant teaching content that can be used on all platforms, especially in online teaching, if required. There is an urgent need for more current research, both globally and locally, into how GIS can be used more in secondary school pedagogy. This talk will describe how GIS has reached a new phase in its technical development where teachers are no longer limited by what the GIS software can do and instead they can develop the critical spatial thinking aspects of Geography that GIS provides. However, there is very little published research on FOSS4G (Free and Open Source Software for Geospatial) and OSM (OpenStreetMap) data in the classroom. The use of FOSS4G in GIS education provides several advantages, but at the same time introduces challenges. These advantages and challenges will be discussed. The research to date has tended to focus on FOSS4G at tertiary rather than at secondary level. The lack of published research is one of the shortcomings that have been observed in the use of GIS globally. This talk will discuss how rare GIS studies at secondary school level are in southern Africa and confirmed the serious need for local studies of GIS applications in secondary schools globally. Authors and Affiliations – SAGTA (Southern Africa Geography Teachers' Association), University of the Witwatersrand. Track – Education & research Topic – Education Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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Proof of concept of peer-to-peer tiles

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description: An exploration on how a seemingly obscure web standard (WebRTC) can be exploited to provide P2P transmission of rendered map tiles. The OpenStreetMap project started serving map tiles over a decade and half ago - and more than once it's been a strain on the limited resources of the OpenStreetMap Foundation. But what if a web standard designed for video conferencing -WebRTC- could be turned into a way to let web browsers exchange tiles in a peer-to-peer fashion? This would, ideally, spread the load of distributing cached tiles onto individual web browsers thus lowering the load on tile cache servers. Other web-browser-based approaches to peer-to-peer content exist (e.g. IPFS), but seem unfit for the use case of map tiles. The main concern is the sheer number of possible map tiles (four to the eighteenth power, or over 68 thousand million), which makes hashing each individual tile both impractical and counterproductive. In computing science jargon: cacheable (meta)tiles exploit the obvious spatial locality of neighbouring tiles, and hashing tile URLs would invalidate the exploitation of that locality. This talk explores the idea of how WebRTC could be leveraged to turn web browsers into peers forming a P2P tile network; what software pieces would need to be developed, and what potential caveats await at the end. The main obstacle would be something called (in WebRTC parlance) the “signaling server”. This means solving the problem on how to pair web browsers that are looking at similar areas of the map. A proposed naïve approach is to force clients to inform a signaling/orchestration server about their visible bounding box, let that server build up a R-tree (or R-tree-like data structure) of bboxes, then pairing peers based on the R-tree structure, or by performing k-nearest-neighbour searches. One big unknown is whether the CPU load of running such an orchestration service is a practical improvement over the network load of tile caches. On the ethical front, there would be concerns about malicious actors exchanging “poisoned” (modified) tiles, and mining the IP addresses of other peers and the geographical areas those peers are viewing. Please note that the contents of this talk are experimental and/or hypothetical, since (to the best of the author’s knowledge) no actual deliverable work has been done on this field. Authors and Affiliations – Iván Sánchez Ortega (1) (1) Freelancer Requirements for the Attendees – Some knowledge of tiled web maps, web servers, and/or tile servers, would be preferred. Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – English

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description: Using open source geospatial software to process, search, and analyze the data of our planet At Microsoft AI for Earth we're taking petabytes of openly licensed, cloud optimized Earth science data and making it searchable and analysis-ready in what we're calling a Planetary Computer. We've built pipelines that process data into cloud optimized formats, derive metadata in the SpatioTemporal Asset Catalog (STAC) format, and index the data such that it is queryable through the OGC API - Features and STAC API standards. We're also supporting the integration of our data within the Pangeo open source ecosystem to enable open architecture approaches to Earth science analytics and applications. In this talk I'll present the architecture of the Planetary Computer, how it is built on the amazing ecosystem of open source tools that work with these datasets, and how we build in a way that enables contribution to and support of that ecosystem. Authors and Affiliations – Rob Emanuele, Microsoft Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – English

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ViRGiS - GIS in Virtual Reality

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description: 3D GIS is becoming increasingly important, especially for practices such as the analysis of Geophysical data (such as GPR, gravimetric studies and even borehole data). Virtual Reality provides an exciting space to perform this analysis by allowing the practitioner to "enter into the data" and walk around it. ViRGiS is a FOSS project to develop this idea. ViRGiS (www.virgis.org) is a FOSS project to create a GIS in Virtual Reality. This allows the GIS practitioner to actively engage with 3D GIS data in native formats in a realistic 3D space. 3D GIS is becoming increasingly important, especially for practices such as the analysis of Geophysical data (such as GPR, gravimetric studies and even borehole data). Virtual Reality provides an exciting space to perform this analysis by allowing the practitioner to "enter into the data" and walk around it. They can actively interact with the data and change and mould the data in a naturalistic and simple manner. This talk will describe the solution and will use a Geophysics Case Study and a Point Cloud Mapping case study to show the abilities of the platform. Authors and Affiliations – Paul Harwood, Runette Software Ltd Dr Mark Harwood, Iscoed Consulting Ltd Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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description: As big data and interactive visualizations gain popularity, there is an increasing need to quickly manipulate and represent massive datasets within the browser. The scale of these datasets challenges existing solutions requiring complex and unsatisfactory work-arounds to deliver a smooth user-experience. Data tiles are images that contain data encoded in their pixels. Tiled using the standard web tile schema, they can provide instant access to numerous spatial data layers at a practically unlimited scale. Web-based "slippy" maps already take advantage of tiled imagery, and we routinely load and navigate “datasets” composed of trillions of data points (pixels) in our browsers. By simply modifying the images to contain raw data instead of visual imagery, data tiles let us browse and use data effortlessly at any scale. Our “GeoPngDB” format builds on existing solutions to provide a browser-friendly way of encoding raw data for consumption by web-based tools. This talk will discuss the potential of tiled raster formats to provide visualization tools with raw data at unlimited scale. We will focus on a browser-friendly solution we have discovered, cover how the format works and share tools for creating tiles. Don’t we have enough geospatial data formats already? We thought so too, but when it came to finding a solution to provide instant access to census data such as population distribution and employment for every block in the US, we couldn’t find an existing format that worked for us. We needed something we could host cheaply and load instantly; that could scale indefinitely while maintaining pixel-perfect data fidelity. Nothing we could find checked all the boxes. Vector data was not the right fit because we had to choose between visual fidelity and performance: loading block-level data at a national scale would require downloading gigabytes of data and overwhelming the browser. Existing raster solutions, like COGs require a backend server to deliver data (based on a query) which can make them prohibitively expensive to host freely and openly. This presentation will outline the solution we have developed. Building on FOSS work by MapZen, our approach uses raw data encoded in PNG tiles. Because PNGs are lossless (unlike JPEGs) we are able to encode numeric data in the pixel colors. We were able to build on MapZen’s solution for encoding terrain elevation data in map tiles, and adapt it for other types of data. Additional features include aggregation / nesting of values, variable precision to account for different zoom levels and support for arrays. We will share use cases as well as references for creating GeoPngDB tiles in Node JS (e.g. from vector tiles), using a QGIS plugin, or as a Java library for use in raster-based analysis tools such as Conveyal’s R5. This proposal provides a potential companion to server-backed raster formats as well as vector tiles that borrows its scalability from proven web-map techniques. You’ll learn what makes PNG-based data tiles the simplest, cheapest and fastest way to host massive data sets online in a way that supports the mission of FOSS. For more information see: https://github.com/sasakiassociates/geo-png-db Authors and Affiliations – Ken Goulding Eric Youngberg Raj Adi Raman Track – Open data Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: Where are all the Data Tiles?: An Under-Appreciated Format for the Big Data Revolution