Chaos Computer Club - archive feed

Deutsche Telekom AG (DTAG) revolutionises the planning process of fibre networks in order to increase the number of connected households and industries dramatically as well as to shorten the time to market in general. A brand-new world comprising the build up of a major SDI, lots of geodata and heavy geoprocessing is needed to substitute previous manual tasks and to sustain the goals. Think about a project, that will be developed by +10 companies, each with its own frameworks, procedures and deployment workflows. To succeed, you'll need more than confidence in the team. This is also because of other complicating factors like IT security, large data pipelines or ever-changing IT infrastructure. This is where DevOps and AGILE practices came to the rescue. It gave a structure and a common understanding of the workflows to every project member, as well provided enough automation and flexibility to adjust to the constant changes the project undergone. In this talk, we’ll present the key challenges and how DTAG and the team of the FTTH-Factory successfully implements agile and DevOps workflows for the project. If we’re brave, we’ll do DevOps on stage. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DVLP9R/

FOSS4G in education and research is key to providing students and researcher with tools for analysing spatial data avoiding vendor lock-ins and fostering a healthy freedom to test different solutions. OS tools stimulate proactiveness in students by providing a wide range of possibilities, from usage to development. This talk will show how open source tools for processing imagery and point cloud data give added value to didactics, with examples from projects at University of Padova and from Innsbruck Summer School of Alpine Research - Close Range Sensing Techniques in Alpine Terrain. None about this event: https://talks.2019.foss4g.org/bucharest/talk/F8ASXM/

**G3W-SUITE** is a modular, client-server application for managing and publishing interactive **QGIS** cartographic projects of various kinds in a totally independent, simple and fast way. The application can organize cartographic contents in a hierarchic way, helping the content management in structured contexts, such as public institutions, parks, companies etc. Accessing administration, consultation of projects, editing functions and use of different modules are based on a hierarchic system of user profiling, open to editing and modulation. Its main components are the one for basis administration, **G3W-ADMIN**, and the visualization client for cartographic contents **G3W-CLIENT*. They communicate through a series of API REST which makes them totally interchangeable. **G3W-ADMIN** was developed through Python, using Django, a trustworthy, solid framework. **G3W- CLIENT** was developed using a modular approach and is based on a “reactive programming” paradigm, using Vue.Js like Javascript framework and OpenLayer3 for rendering of geographic data. G3W-SUITE and, in particular G3W-ADMIN and G3W-CLIENT modules, are released on **GitHub** with **Mozilla Public Licence 2.0** (https://github.com/g3w-suite) None about this event: https://talks.2019.foss4g.org/bucharest/talk/WTZMJN/

Working Group 4, also called Spiral 4, of the UN Open GIS Initiative aims to provide solutions to collect geospatial data for UN missions. Due to the diversity and complexity of source data and mission fields, one single solution for geospatial data collection could not satisfy the requirements from the UN. Furthermore, most of the UN missions take place in regions where geospatial data are very limited. Spiral 4 has been working to develop and provide several solutions for divers and difficult requirements from the UN. In this talk, we will present the vision and solutions that we are developing so far, such as live drone maps, open geo-CMS, and quality control tools. We will also discuss and share the lessons learned from Spiral 4. None about this event: https://talks.2019.foss4g.org/bucharest/talk/D3YTDW/

This is the welcome speech of Mr. Dumitru Prunariu. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PCWRFQ/

# MapServer, Optimize for performance The MapServer software offers many powerful and advanced features that many users haven’t found yet. Come and learn some of the tricks to optimize configurations to achieve excellent performance in the rendering of stunning cartographic maps. Complex road shield labeling is one of the use cases that will be shared. Many of the tricks are based on advanced preprocessing of the data sources using the GDAL/OGR tools. Another subject will be around different ways to use tile indexes and how that can influence flexibility and performance. Some advanced line symbology examples will be highlighted, that are used in a larger open source development with Mapserver. Finally, we will show how to measure and even set up automatic tests to verify the results. The presenter is a frequent Mapserver user. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QWB9AD/

Reusable satellite and street maps data will be presented in this talk. Powered by open data and build with open source! Learn about the MapTiler data infrastructure and the high-resolution imagery available for Europe and the US, ready for your next project. Open geospatial data is the new raw material every GIS expert can build upon. Free vectors and rasters are everywhere, but come in many flavors which often make them challenging to leverage. This talk aims at presenting an innovative approach for harmonizing open geospatial data using the MapTiler software tools, powered by open-source. Several open data use cases and processing pipelines will be presented at the global scale, from mapping the OpenStreetMap planet to color toning high volumes of open imagery. Local use cases will also be shown, including on open data released by mapping agencies, such as the Ordnance Survey or the French IGN. Emphasis will be put on creating and sharing ready to use datasets that one can easily self-host and redistribute. Description of new geodata services and cloud infrastructure will finally demonstrate how open source technology significantly adds value to open data for the benefit of all, from the community to the business perspective None about this event: https://talks.2019.foss4g.org/bucharest/talk/NSMXGV/

QGIS 2.18 has been discontinued - the king is dead. QGIS 3.4 is the new long term release - long live the king! QGIS 3.10 is being developed - The princess is growing In this talk, I'll try to highlight the very best features available in the QGIS 3.x series like: - User profiles - Multiple map views - Native 3D viewer with support for vector features and mesh data - Mesh data support - Autocompleting search - Unified Data Source Manager - GeoPackage as the default format - Select features by value tool - Lots of new processing tools - Project DB/Auxillary storage and easy custom labelling - Editing in place - New renderers - Lots of improvements to Print composer - Valid CRS Extents Preview None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TMMFG/

As the United Nations (UN) is a complex organization carrying out divers tasks in the world, most functions for an enterprise GIS are required. In order to support the requirements from the UN, the UN Open GIS Initiative was founded in 2016 with goals to provide GIS solutions for the UN based on open source software. The working group 3 of the initiative, named Spiral 3, aims to develop and deliver geo-analytic functions to the UN. In particular, a number of geo-analytic functions are developed by Spiral 3 to support field operations such as UN peace keeping operation. In this paper, we present a development use-case of geo-analytic functions for the UN, which is composed of four steps; analysis of requirements and functional specification, definition of development environment and system architecture, system development and test, and documentation of user manual and education materials. First, a comprehensive study on UN operations has been carried out, which covers the following tasks; situational awareness, security operations, military operations, protection of civilians, human rights violation investigation, epidemiological analysis, mission’s support and logistics operations, electoral support, disarmament, demobilizations and reintegration program, and humanitarian response operations. From this study, we derived 26 primitive geo-analytic functions. The users of geo-analytic functions for these tasks include mostly officers at field offices and geo-analysis experts at mission headquarters. Second, the system development environment was determined as Java using GeoTools for the compatibility and portability. The geo-analytic functions were developed as a plug-in of uDig, which is a Java-based open source desktop GIS. It means that the preparation and pre-processing of data for geo-analysis and the visualization of the analysis are supported by uDig. Third, an experiment of the developed system was performed with a scenario of Ebola virus spread. It shows that the system properly supports the field operations of Ebola virus spread. The experiment also shows the strength and weakness of the developed geo-analysis functions in comparison with commercial GIS. As the fourth step of the development, a user-manual is published via web and an education material was also developed under the OSGeo-UN Committee Educational Challenge Program. Through the use-case study presented in the paper, we would like to share the experiences and lessons about the development of geo-analytic functions, which would be used as a reference for other geo-analytic function development. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PRXB9V/

There were no slides recorded due to a system failure. We are sorry for that! Understanding and predicting the distribution of life on Earth represent major research tasks in the face of global environmental change. These tasks often require the integration and analysis of big and diverse datasets that reflect properties of wild organisms and their abiotic environment across space. I will demonstrate the use of geospatial free and open-source technologies for exploring, analysing and predicting biodiversity patterns across the globe, focusing primarily on the geography and drivers of genetic diversity in terrestrial mammals. I will also stress the importance of data sharing in nature conservation through interactive visualisation frameworks. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7BFHNF/

The OSGeo United Nations (UN) Committee promotes the development and use of open source software that meets UN needs and supports the aims of the UN. Following a meeting between the OSGeo Board of Directors and the UN GIS team at the FOSS4G conference in Seoul, Korea, in September 2015, the Committee has mainly worked on the UN Open GIS Initiative, a project "... to identify and develop an Open Source GIS bundle that meets the requirements of UN operations, taking full advantage of the expertise of mission partners including partner nations, technology contributing countries, international organisations, academia, NGOs, private sector". In 2018, the OSGeo UN Committee called for proposals for developing open geospatial educational materials as a part of its activities. There were three challenges: the first two (one of them sponsored by Boundless) are related to the UN Open GIS Initiative. The first challenge, related to UN Open GIS - Spiral 1, aims at the development of education material that teaches users how to apply the GeoSHAPE platform. GeoSHAPE is a free and open source geospatial collaborative platform created from various open source projects. The developed material provides a guide on how to create, edit and share critical data on an integrated dynamic map in near real time, view map updates by users from anywhere in the world and use GeoSHAPE exchange in connected and disconnected environments. The course is structured with content to suit novice, intermediate and advanced users. The second challenge supports UN Open GIS - Spiral 3, which provides geo-analytical solutions for the UN. The feasibility of the analytical functions developed as part of Spiral 3 were tested against an Ebola Epidemic use case. Requirements for developing suitable applications and methodologies based on actual UN operational cases were defined in 2017. Members of the UN Open GIS - Spiral 3 developed a geo-analytical library, called "Processing Toolbox", which is a plug-in for uDig, an open source desktop GIS. The training material developed in the frame of the OSGeo UN Challenge provides an introduction to the use of the algorithms for environmental analysis in the uDig Processing Toolbox, specifically those related to ecology and ecosystems identification. The training material for Spiral 3 is designed as a step-by-step tutorial, using algorithms in the uDig Processing Toolbox. While working through the tutorial, the user is familiarized with the tools covering all the available macro sections. After completing the tutorial, a user will be able to find the needed algorithms to solve a specific use case. The presentation deals with the description of the UN Open GIS Challenge and the open training materials developed under this initiative. The material is available under an open license and can therefore be reused by anybody. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SGGAGJ/

The W3C Maps for HTML Community Group is working to define a (new) "map" HTML element that would be used to define map contents in a web page and would be directly supported and rendered by web browsers in a standardized way. All this is done by building on existing standards such as WMS, WFS and Tile Services. In addition to standardizing the encoding and access to map elements in web browsers, this encoding also aims to make the map contents more easily discoverable and indexable by search bots on the Web. This talk will start with an overview of the MapML draft specification, and then discuss the recent implementation of MapML in MapServer, GDAL and OGR. The goal of this initial implementation is to get MapML used in real life scenarios and to gather feedback from the community on the draft specification. Please come and join the discussion! None about this event: https://talks.2019.foss4g.org/bucharest/talk/9D7GAU/

The WFS 3 specification introduces a number of significant changes in the protocol compared to older versions, to mention just a few: * Small core with basic functionality, extra functionality provided by extensions * OpenAPI/RESTful based * GeoJSON first, while still allowing serving data in GML * No mandate to publish schemas for data Come to this presentation to have a quick introduction to this new protocol version, get updates on its implementation in GeoServer, and get a hint of how the protocol is going to evolve in the future, also based on the June 2019 London OGC API hackaton. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HPCD8D/

Over the last several years, Element 84 has been centrally involved in NASA’s transition to the cloud, supporting their Earth Observing System (EOS) and Earthdata programs representing over 20PBs of remote sensing data and preparing for an order of magnitude increase with upcoming missions. Based on this experience, and backed by a variety of great open-source software, we have created a self-service remote sensing data management platform for smaller projects and teams. Cubesatdata.com is designed to support data management following downlink of L0 data and includes end-to-end system architecture, cloud archive optimization, data pipeline processing and archives of convenience, as well as a robust user-interface for search, discovery, and visualizations. This managed service provides a lower cost of entry for academic institutions, nonprofits, and other small businesses who lack the domain expertise or the desire to support an end-to-end data management system. This talk will focus on how the Cubesatdata.com service works and what open-source software made it possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BPV3CK/

Ships have long been required to carry nautical charts and nautical publications to plan and display the ship's route for the intended voyage and to plot and monitor positions throughout the voyage. Today we have complex electronical navigational charts and many of them are freely distributed and are constantly updated. An electronic navigational chart or ENC (IENC for Inland waterways) is an official database created by a national hydrographic office for use with an Electronic Chart Display and Information System (ECDIS). The automatic identification system (AIS) is an automatic tracking system that uses transponders on ships and is used by vessel traffic services (VTS). Even with the advent of high accuray DGPS and AIS, RADAR will continue to be a primary aid to navigation and collision avoidance. During the presentation we will exemplify some usecases that integrate ENC, AIS and RADAR data in various software applications, both web and desktop, onboard for navigation or vessel/infrastructure for coastal monitoring systems. The presentation will cover an aids for navigation monitoring system, a vessel traffic management system and an 3D environment with real time data for validation of inland waterway signs and markings. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FVU8KW/

GeoNode is a Web Spatial Content Management System based entirely on Open Source tools whose purpose is to promote the sharing of data and their management in a simple environment where even non-expert users of GIS technologies can view, edit, manage, and share spatial data, maps, prints and documents attached. GeoNode was initiated in 2010 by the World Bank and OpenGeo but from 2011 is entirely run by the developer community that the project has been able to attract. It claims some large organizations among its contributors such as the United Nations, the World Bank and the European Commission as well as many NGOs and private companies. GeoNode is based on a set of robust and widespread open source components as Django as a basic framework, GeoServer for geospatial data management and OGC services and OpenLayers/Leaflet as mapping application. It can also communicate with PostgreSQL for vector data management. GeoSolutions has been involved into a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a ser None about this event: https://talks.2019.foss4g.org/bucharest/talk/7FSDBW/

The last few months have been quite a ride for our good ol’ web mapping companion. What should have been a peaceful rest after a lengthy refactoring in version 5 did in fact end up being an involved rewrite of its rendering code: better **performance**, nicer **vector tiles**, smoother **WebGL**, more options and even some Mapbox goodness in there. In this talk we will take a quick tour of all the new stuff in OpenLayers and talk about the *why*s and *how*s, as well as what lies ahead of us. Love maps? We do too, come along! None about this event: https://talks.2019.foss4g.org/bucharest/talk/SLW83K/

During the last decades, production of Land Cover maps (LC) at a continental and global scale has increased thanks to the progress in Earth Observation capacities, as well as due to high demand for these maps for many applications (e.g. climate change monitoring). However, the usefulness of these maps strongly depends on their accuracy. Therefore, for a fruitful LC maps exploitation, accuracy assessments (i.e. validation and inter-comparison) must antedate. Spatial analysis of the errors should then complement the accuracy assessment to provide insights into the local errors patterns which may not be outlined by traditional accuracy assessment techniques. According to this, we propose here a comprehensive analysis to target accuracy of LCs by focusing on the African continent. Two datasets, GlobeLand30 (GLC30) at and CCI Land Cover - S2 Prototype Land Cover 20m Map Of Africa (CCI Prototype Africa), at 30m and 20m resolution respectively, were considered. Inter-comparison was performed by means of traditional accuracy indexes computed from the error matrix (i.e. Overall Accuracy, Producer’s and User’s accuracy etc). Harmonization of the two maps in terms of resolution and classification nomenclature is prerequisite for inter-comparison. This was achieved by taking advantage of QGIS functionalities (e.g. resampling). Results of the accuracy assessment provide overall quality metrics for the map as well as quality indicators for each LC class. Additionally, spatial association statistics were adopted to investigate local patterns of the errors. The analysis was performed by means of GRASS and custom developed Python scripts exploiting cutting-edge data analysis libraries such as Pandas, Dask, and PySAL. By “virtual” overlaying CCI with GLC30, we computed which classes of CCI are under each pixel of GLC30, and what is the pixel fraction of a CCI class at each GLC30 pixel. Results of the overlay were stored in a vector point file whose coordinates represent centers of pixels of GLC30. If the classes of GLC30 and CCI for a point are not the same this results in an error with magnitude represented by the pixel fraction itself. Error fractions at each GLC30 pixel were analysed by means of Local Indicators of Spatial Association (LISA) to map non-random pattern in the spatial distribution of the errors as well as to assess their intensity and spatial association typology. By considering the results of accuracy assessment and LISA outputs, a comprehensive comparison of the GLC30 or CCI Prototype Africa is achieved. The results provide a guideline for detecting source of the error, which is potentially useful for future LC production (i.e. sampling design of training data). Lastly, it has been demonstrated that processing of massive datasets for accuracy assessment can be accomplished with Free and Open Source Software (FOSS). None about this event: https://talks.2019.foss4g.org/bucharest/talk/YJ8KJS/

2018 saw the release of [Julia](https://julialang.org/) 1.0, a high-level, high-productivity programming language, with the performance of a low-level language like C. That means looping over all features or cells and applying your own functions is encouraged. The [JuliaGeo](http://juliageo.org/) organization was first started in 2015 to provide support for working with geospatial data in the Julia programming language. JuliaGeo currently provides high-level APIs with comprehensive support for OSGeo libraries like GDAL, GEOS and PROJ. In this talk, we introduce Julia and the JuliaGeo packages, showcase interactive workflows, and talk about next steps. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DH8CQR/

Not all open data comes in traditional geospatial formats: for years, organizations around the world have collected photo and video logs of roads for annual surveys, but until recently these have been overlooked as a form of open data. Mapillary now hosts over 500,000km of government road imagery. We will explore how this is being used both to improve government workflows and how traffic signs, crosswalks, and other data can be added to OpenSteetMap by citizens using imagery previously seen only by a handful of government employees. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LKFNAS/

<p>SMODERP2D is a runoff-soil erosion physically-based distributed episodic model used for calculation and prediction processes at agricultural areas and small watersheds. The core of the model is a raster based cell-by-cell mass balance calculation which includes the key hydrological processes, such as effective precipitation, surface runoff and stream network routing. Effective precipitation, the forcing of the runoff and erosion processes, is reduced by a surface retention and an infiltration. Surface runoff consists of two components: slower sheet and concentrated rapid rill flow. Stream network routing is performed line-by-line in user predefined polyline layer. SMODERP is a long-term running project driven by the Department of Landscape Water Conservation at the Czech Technical University in Prague. At the beginning SMODERP has been developed as a surface runoff simulated by profile model (1D). Later the model has been redesigned using spatially distributed method. This version is named SMODERP2D. Ongoing development (https://github.com/storm-fsv-cvut/smoderp2d) is focused on obtaining parameters of the hydrological models, incorporating new infiltration and flow routing routines, and conceptualization of a rill flow and rill development. The model belongs to a family of so called GIS-based hydrological models utilizing capabilities of GIS software for geodata processing. Importantly, the SMODERP2D project is currently entering the open source world. Originally the model could be run only in proprietary Esri ArcGIS platform. A new version of the model presented by this contribution adds support for two key open source GIS platforms, GRASS GIS and QGIS. A newly developed GRASS module and QGIS plugin significantly increases accessibility of the SMODERP2D model for research purposes and also for engineering practice. Middle scale distributed hydrological models often encounter with a high computation costs and long model runtime. Long runtime is caused by high resolution input data which is easily available nowadays. The project also includes an experimental version of the SMODERP2D model enabling the parallelization of computations. This parallelization is done using TensorFlow, and its goal is to decrease the time needed for its run. It is supported by both CPU and GPU. Parallelization of computations is an important step towards providing SMODERP2D web processing services in order to allow quick and easy integration to highly specialized platforms such as Atlas Ltd. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/BCVBMK/

A comprehensive look behind the scenes of HERE XYZ to demonstrate the components starting with the approachable, browser-based Studio to build maps, large data management operations with CLI all the way to developer APIs. You’ll discover the history of XYZ, what projects currently run on the service and the ongoing process of making it open source. Learn about our vision of collaboration with the community by offering both HERE and OSM map data on XYZ. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TTYAH/

MapStore is the Open Source product for creating, saving and sharing in a simple and intuitive way maps and mashups created selecting contents from public services like Google Maps and OpenStreetMap or other servers implementing OGC and ISO protocols. Thanks to MapStore the user can mix her own data with data available on the web to create comprehensive maps and share them with anyone (also via social networks). MapStore2 is cross-browser, and mobile ready. MapStore allows the user to: * Manage maps (share, delete, search, create) and users through a front-end Manager. * Create and navigate maps using a powerful and intuitive front end as map Viewer. * Manage the embed-link, marker's injection, routes injection, time series Google Earth like, spatial queries and more. * Interact with one or more Catalog Service for the Web (CSW). You can also use MapStore as a framework to develop your custom WebGis application composing MapStore ReactJS components and components from other libraries (like React Bootstrap), choosing the best mapping library for your purposes. The presentation will give the audience an extensive overview of the MapStore functionalities for the creation of mapping portals. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RZFC33/

This presentation will provide the attendee with an introduction to data processing in GeoServer by means of WPS, rendering transformations and SQL views, describing real applications and how these facilities were used in them. We'll start with the basic WPS capabilities, showing how to build processing request based on existing processes and how to build new processes leveraging scripting languages, and introducing unique GeoServer integration features, showing how processing can seamlessly integrate directly in the GeoServer data sources and complement existing services. Moreover, we will show how to integrate on the fly processing in WMS requests, achieving high performance data displays without having to pre-process the data in advance, and allowing the caller to interactively choose processing parameters. While the above shows how to make GeoServer perform the work, the processing abilities of spatial databases should not be forgotten, so we will show how certain classes of processing can be achieved directly in the database. At the end the attendee will be able to easily issue WPS requests both for Vectors and Rasters to GeoServer through the WPS Demo Builder, enrich SLDs with on-the-fly rendering transformations. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JKQFR8/

I'll introduce the web based military geo-portal system which was implemented on top of numerous open source projects such as PostGIS, GeoServer, Cesium, mago3D, OpenGXT. This military geo-portal system provides search, layer control, satellite image retrieval, spatial/terrain analysis, reading coordinates, and map notes functionalities to the military officers through intranet. This system is basically a web based 3D GIS utilizing mago3D and can be switched to 2D. This system utilizes the OGC WPS(Web Processing Service) for the analysis on web environment. As a result of this system implementation, military officers can access the huge amount of geospatial data and analysis functions on a web environment without installing additional software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/Z3VSSA/

A comprehensive presentation of the design process leading to a NodeJS framework which acts as a spatial data and application interface. The XYZ framework also provides a control library and responsive views tying everything together. Library methods make use of function composition in javascript to augment methods for a range of client applications. A monorepo is used to handle deployments on a server, as a cloud function or as an API gateway for microservices. A security strategy made possible through the use of JWT + JOSE in NodeJS’ middleware will be outlined to fit different deployment modes and client application requirements. https://github.com/geolytix/xyz http://bit.ly/composing_xyz http://bit.ly/fastify_authentication None about this event: https://talks.2019.foss4g.org/bucharest/talk/KTJES3/

The new Spatial Data Infrastructure of the Veneto Region (IDT-RV 2.0) has been completely redesigned to move from the older structure, based on commercial products, to state of the art FOSS4G software, providing methods to simplify data publication. Operational innovations introduced by the new infrastructure include: • Provision of tools for the interactive creation of WebGIS sites, without any code development, to be quickly shared on demand; • Complete management of the data lifecycle and related metadata, from acquisition to production, atomically monitored through a step-by-step workflow; • Creation of metadata through an interactive web editor, according to the defined normative rules, capable of supporting the user from the input of the values through template, to the final validation. Particular focus will be put on critical issues and challenges that where solved. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MCKFWD/

The map is based on the concept of geographical management that highlights the importance of the location of events or objects, which allows, for example, to understand how they are spatially related, to analyze proximity and their distribution within an area. In addition to the public map, there is an internal version that contains additional confidential information that provides all government areas with access to tools and integrated geo-referential information that promotes decisions based on data that allow, for example, to plan future actions and services, such as interventions . in the public space, inspections and verification of roadmaps and information collection. None about this event: https://talks.2019.foss4g.org/bucharest/talk/UNTZGU/

Initially called GRaaS (GRASS as a Service), actinia has been developed to exploit GRASS GIS functionality via HTTPS REST API. GRASS locations, mapsets, vector and raster data as well as spatio-temporal data are available as resources to allow their management and visualization. With the existing (e.g. Landsat) and also recently emerging (Copernicus Sentinel) big geodata pools which are growing day by day, it is designed to follow the purpose of bringing algorithm to cloud geodata. It helps to prepare, analyse and provide a large amount of geoinformation without the need to have know-how of the data, of analysis, appropriate software (for automatisation) or scalable hardware resources. Some of the features are persistent and ephemeral processing, user management to limit e.g. pixels, processes and duration of calculations as well as logging of API calls and used resources by each user. Another advantage is its easy deployment with docker. When deployed in a cloud based environment with OpenShift or docker-swarm, the integrated load balancer handles a cluster automatically. Following the spirit of free and open software, we are proud to have emerged as an OSGeo community project and look forward to enlarge the actinia community. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GCNPMC/

Mapillary SDKs enable any developer to easily build apps with functionality for geotagged image capture, Mapillary authentication, and uploading to Mapillary. In this session, we will explore the SDKs, demo some Mapillary apps that are built on the SDKs, and look at how these apps are being used to solve real-world challenges. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3JMYHJ/

MapServer 7.4 was released earlier this year. The main focus of this release is MapScript - MapServer’s scripting language, and we'll review the various language options available along with other changes and lesser known features from recent releases. A summary of development from the recent OSGeo codesprint in Minnesota, and the road map towards MapServer 8 will be presented. A description of MapServer [1] and a brief history of its development will be outlined, along with a summary of the project health including numbers of active contributors and mailing list users, and project steering committee changes. An overview of projects related to MapServer will be given including MapCache [2], MapServer for Windows [3], GC2 [4], mappyfile [5], and the Zoo project [6]. We'll look at how to get involved with MapServer and help with the continued success of the project at all technical levels. Finally members of the MapServer PSC (Project Steering Committee) will be present at the talk to answer questions. [1] https://mapserver.org/ [2] https://mapserver.org/mapcache/ [3] https://ms4w.com/ [4] https://www.osgeo.org/projects/gc2-vidi/ [5] https://github.com/geographika/mappyfile [6] https://www.osgeo.org/projects/zoo-project/ None about this event: https://talks.2019.foss4g.org/bucharest/talk/WKX8NS/

MapMint is a comprehensive task manager for publishing web mapping applications. It is a robust open source geospatial platform allowing the user to organize, edit, process and publish spatial data to the Internet. MapMint includes a complete administration tool for MapServer and simple user interfaces to create mapfiles visually. MapMint is based on the extensive use of OGC standards and automates WMS, WFS, WMT-S, and WPS. Most of the MapMint core functions are run through WPS requests which are calling general or geospatial web services: vector and raster operations, mapfiles creation, spatial analysis and queries and much more. MapMint server-side is built on top of ZOO-Project, MapServer and GDAL and its numerous WPS services are written in C, Python and JavaScript. MapMint client-side is based on OpenLayers and Jquery and provides user-friendly tools to create, publish and view maps. MapMint architecture and main features will be introduced in this presentation, and its modules (dashboard, distiller, manager, and publisher) will be described with an emphasis on the OGC standards and OSGeo software they are using. Some short but relevant case studies and examples will finally illustrate some of the key MapMint functionalities. None about this event: https://talks.2019.foss4g.org/bucharest/talk/E8UVGW/

Mapillary’s computer vision extracts point data from street-level images, with these detections being used to fix and update maps. Earlier this year, Mapillary worked with OpenStreetMap communities to turn automatic computer vision detections into better map data. This was an insightful project that showed us which detections were useful for the OpenStreetMap community and end users. It’s also an early step to create a feedback loop where humans provide input to help us improve the quality and relevance of automatically derived features. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LM3CLQ/

State of GeoServer provides an update on our community and reviews the new and noteworthy features for 2019. GeoServer is a web service for publishing your geospatial data. using industry standards for vector, raster and mapping. We have an active community and a lot to cover for 2.14 and 2.15 release, as well what is cooking in September’s 2.16 release. Each release provides exciting new features, this talk covers diverse improvements across GeoServer: * Support for Java 11 deployments * And update on the ongoing work on WFS 3.0 and next generation of WMTS * Extensions to WPS for better controlling status and progress of processes * JAI-EXT enabled by default, and what that means for your raster map publishing * Map algebra support * Data store functionality improvements, including news for MongoDB and PostGIS * Styling subsystem improvements * And much more… Attend this talk for a cheerful update on what is happening with this popular OSGeo project. Whether you are an expert user, a developer, or simply curious what GeoServer can do for you. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DHD8AG/

The GC2/Vidi platform helps you build a spatial data infrastructure quickly and easily. Powered using open source components for a scalable solution focused on freedom rather than fees. GC2/Vidi comprises two software projects: - GC2 – makes it easy to deploy PostGIS, MapServer, QGIS Server, MapCache, Elasticsearch, GDAL/OGR. And offers an easy-to-use browser application to configure the software stack. - Vidi – a modern take on browser GIS. It is the front-end client for GC2. The GC2/Vidi project is released under GPL and accepted as an OSGeo Community Project last year. The first part of the talk gives a brief overview of the platform and summarizes the capabilities it has to offer. In the second part the browser GIS named Vidi will be reviewed with emphasis on the new offline capabilities. This comprises the possibilities to use the web app and access/edit data without network, which makes Vidi well suited for field work in areas without good 3G/4G coverage. The talk will include a short demonstration and give a walkthrough of the modern browser technologies used including Service Workers, IndexedDB and StorageManager. Furthermore, the ongoing developments and future innovations will be reviewed. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TDGAW/

More open pointcloud data is released every year and with it there is an increasing request for automatically generated large scale digital maquettes that can be used in city-planning, environmental modelling and 3D data-analysis. We will show how we use a pipeline of OS software that goes from pointclouds and cadastral data to a full scale 3D maquette of your country. Processing happens mostly in postgres and takes typically a couple of minutes per square km. Included in the talk is: * introduction of some python-scripts for pointcloud-processing * adoption of procedural language in postgres * advanced use of postgis (voronoi, sfcgal etc) * generating 3D tiles * styling a maquette in cesium The presentation will be fast paced and includes a range of technical details but should be understandable for the average person. It includes code examples and live demo's. In the end you will have an understanding of available software (both new and existing), do's and don'ts in generating 3D data with OSS and contemplations on how to use a digital 3D maquette. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SJH3VL/

Image classification of urbanization processes require reference data either for training or for validation. However, there is scarcity of reference labeled datasets specifically to detect urban areas. In this talk, I will present three approaches for collection of open-source reference data that mark built-up areas. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GBJW3P/

In this talk, we will give an overview of the recent works that have occurred in the PROJ, libgeotiff and GDAL libraries regarding Coordinate Reference Systems (CRS). Those improvements have mostly taken place in the venerable PROJ library that has evolved over the last 30 years from handling “only” more than hundred of cartographic projections to becoming a full-fledged library for CRS management and transformations. PROJ 6 now supports OGC and ISO standards regarding object modeling (ISO-19111 / OGC Abstract topic 2), and their Well-Known Text representation (OGC WKT1, WKT2:2015 and latest WKT2:2018). A sqlite3-based database embeds the definitions coming from various authorities: EPSG, IGN-France and the ESRI projection engine. PROJ can now compute optimal and more accurate transformations between two CRS without necessarily using the ill-defined WGS84 pivot (“late-binding”), and support new CRS and transformations. We will discuss the the adoption status of PROJ 6 by the rest of the OSGeo stack and present quickly how to migrate to this new version. None about this event: https://talks.2019.foss4g.org/bucharest/talk/T9AQBS/

Very brief introduction to the huge geospatial universe. On this talk, we will cover most of OSGeo software and sibling initiatives to prove that Free and Open Source Solutions is not only a complete stack but the canonical solution when we want to have the best option possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YTSZRG/

Natural Language Processing, has been revivified by Deep Learning approaches. This presentation will show what we already can achieve to convert plain Text to Map. Think for instance, to retrieving geometries conveys by an article, a book or a Tweet. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PTX3JW/

OpenEO is a H2020 project that aims for a new web service standard for Earth Observation data cubes that supports data extraction, processing and viewing. Both the standard and its implementations are Open Source projects, with an active community of contributors. Under the hood, the client and backend implementations rely on open source libraries, such as GRASS GIS, GDAL, Geotrellis, Rasdaman, or provide a standardized interface to proprietary systems such as Google Earth Engine. This talk will show an overview of the main capabilities, and available client and backend implementations. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RPERAU/

GeoNode is an open source framework designed to build geospatial content management systems (GeoCMS) and spatial data infrastructure (SDI) nodes. Its development was initiated by the Global Facility for Disaster Reduction and Recovery (GFDRR) in 2009 and adopted by a large number of organizations in the following years. Using an open source stack based on mature and robust frameworks and software like Django, OpenLayers, PostGIS, GeoServer and pycsw, an organization can build on top of GeoNode its SDI or geospatial open data portal. GeoNode provides a large number of user friendly capabilities, broad interoperability using Open Geospatial Consortium (OGC) standards, and a powerful authentication/authorization mechanism. Supported by a vast, diverse and global open source community, GeoNode is an official project of the Open Source Geospatial Foundation (OSGeo). None about this event: https://talks.2019.foss4g.org/bucharest/talk/DXM898/

After a brief introduction to the project, this talk will focus on the two feature-oriented releases which have occurred during the last year, GDAL 2.4 and GDAL 3.0. We will explore new drivers (Google Earth Engine Data API, NextGIS Web, GeoJSON sequence, TileDB, ...), improved drivers (BAG, GeoTIFF with Lerc and WebP codecs, Geospatial PDF generation…), improved algorithms (polygonal contouring), new virtual file systems, the integration of PROJ 6 and its benefits (genuine database with definitions of coordinate reference systems and coordinate operations, support for WKT 2, late-binding transformations) The advance of community efforts that have lead to a revamped Python testing suite and documentation/web site will also be presented. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JTKMZG/

Can you calculate the CO2 emissions for your city now or for the future? Ubigu Ltd, Tietotakomo, Gispo Ltd, Finnish Environment Institute and City of Tampere in Finland have crafted an open source climate tool during spring 2019. It was created using QGIS, PostGIS, GeoServer and Oskari map service for detecting what areas have more CO2 emissions than others taking into account also carbon sinks. The climate tool is used to do better land use planning to achieve CO2 neutral city. The base of the calculation comes from 250*250 m urban zone grid by Finnish Environment Institute where we have information about workplaces, demography and buildings. The tool utilizes also different climate parameters and combines the information to the grids. The user interface was created with QGIS and where analysis was driven with algorithms stored to PostGIS database. The tool also provides CO2 visualisation of the analysis results via GeoServer and in the end Oskari map service. In this presentation we will go through the background and demonstrate the use of the tool. None about this event: https://talks.2019.foss4g.org/bucharest/talk/B9F3TW/

Various software can style maps and generate a proper SLD document for OGC compliant WMS like GeoServer to use. Several topics will be covered, providing examples in the various GeoServer styling languages, including: * Mastering common symbolization, filtering, multi-scale styling * Using GeoServer extensions to build common hatch patterns, line styling beyond the basics, such as cased lines, controlling symbols along a line and the way they repeat * Leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps * Using the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates around labels, leverage the labelling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology * Dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views. The presentation aims to provide the attendees with enough information to master GeoServer styling documents and most of GeoServer extensions to generate appealing, informative, readable maps that can be quickly rendered on screen. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZDBPYE/

Natural Language Processing, in short, NLP is one of the most high-lightened technologies these days. What I would like to bring on FOSS4G 2019 is an experimental approach which integrates NLP with mapping system. Just for convenience, I call this approach “document-mapping”. In this approach, documents are plotted according to their similarities: in other words, similar documents are plotted within close proximity, and vice versa. This approach can be done by several NLP based algorithms. As a result of the processing, XY coordinates are attached with each document. This approach will show us lots of possibilities, converting qualitative data-sets into quantitative ones. For example, we can evaluate the impact on a specific article or an opinion not only by numeric data but also visualized map with the similarity-distance. I attached an example using twitter data-sets. Another possibility I would like to introduce is its application for regional masterplans. I am currently trying to analyze a transition of cities and achievements of the city plans by using this idea. This attempt is still on a progress, and hopefully I would like to present this result in August. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZYLV8A/

The INSPIRE Reference Validator is the tool adopted by EU Member States to validate the resources of their Spatial Data Infrastructures. It is an implementation of the ETF, an open source testing framework based on ISO and OGC standards, which performs tests organized into Executable Test Suites (ETS) using SoapUI, BaseX and TEAM Engine. The ETF can be used via either a web application or a REST API; a Docker container is also available for quick deployment. The INSPIRE Reference Validator, recently deployed on the cloud, offers many open source ETS to test data sets, metadata, View Services (WMS, WMTS), Download Services (Atom, WFS, WCS, SOS) and Discovery Services (CSW) against the interoperability requirements set by the INSPIRE Technical Guidance documents. Starting from the context of INSPIRE Action 2017.4 on Validation and conformity testing, the talk will present the latest developments of the ETS and ETF (including the governance of the software project) and describe the future plans. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HJKKG8/

What is the value of data? This presentation will be about value of data and why data is useless unless it is collected and used in a right way or with the knowledge on how it is collected and therefore what its limitations are. We will look at official data and Open Street Map and show some examples that visualize the mismatch between dataset. We will also show how data can be used, when it is updated correct and how we can go beyond just the nice Open Street Map as just a basemap. Then we will investigate what we can do about it and how Open Source tools play a huge role in this. It will open a discussion and hopefully a brainstorm on the way forward. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VJHDPP/