Chaos Computer Club - archive feed

See that little map on the geoserver.org web site? While looking a lot like plain OpenStreetMap tiles, it’s actually rendered by a GeoServer, using CSS styles, off a PostGIS database. The map aims to be a very close clone of the actual OSM official one, meaning it has a lot of little details often removed from lookalikes to reduce the data to be loaded and rendered. This presentation will provide a little history of its development, the performance added to speed up its rendering, a good look at the styles styles used, and the overall setup and the of the GeoServer, both in terms of physical deployment, configuration and tuning. Finally, we’ll show an alternative setup and map, still working on GeoServer, but based on styles and data from the OpenMapTiles project. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YELW78/

Lizmap is an open-source application to create web map application, based on a QGIS plugin and a Web Client. The project started in 2011 and the 3rd version has been published in 2016. In 2019, the project has to be adapted to QGIS 3. We will present the state of the project, the connected projects as mapbuilder module and extension scripts, and what is coming in the future. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YFKHGP/

In a disaster or humanitarian relief context, time obviously matters. This talk will show how, without concern for the details of servers and storage, you can use small amounts of code to quickly build powerful solutions, using a prototype disaster response pipeline as an example. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZFWFG9/

We would like to present how our small community of Geoinquiet@s Argentina works. Since 2012 we have been working hard in order to evangelize about free and open source software. Drawing inspiration, and a name, from the Geoinquietos Spain micro chapter a few people started gathering (beer in between) to spread the word about free tools for geomatics. Since then, we have been able to do four conferences, some together with the OpenStreetMap (OSM) community. Recently we became an official OSGEO local chapter (the first constituted in Latin America). In order to keep growing, we have set up an nonprofit organization (Geolibres), to serve as a legal support not only for Geoinquiet@s, but also for OSM Argentina or GeochicasOSM. We propose the bid of Buenos Aires as the location for the 2021 main FOSS4G event, because we believe it would be a great opportunity for the entire region, creating new chances for exchange between key actors in the world of free and open geomatics. Our commitment is for more conferences, workshops and other projects that infect the spirit of free and open source software in more people, communities, companies, organizations and universities every time. None about this event: https://talks.2019.foss4g.org/bucharest/talk/K93FD7/

An overview of GNOSIS CMSS, a styling language for both classic and 3D cartography. Ecere developed the GNOSIS Cascading Map Style Sheets language in conjunction with the OGC Innovation Program's Tetstbed 13 and 14, and the open specifications for it are available in a public Engineering Report: http://docs.opengeospatial.org/per/18-025.html#StylingModel Key features of GNOSIS CMSS include cascading of styling rules and sheets, any symbolizer value can be a complex expression, and a concise and clear syntax. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YBSWUW/

The Copernicus data provided on a free, full and open access basis are an invaluable asset for both established and new businesses. EU funded projects such as e-shape and PARSEC aim to support developers and entrepreneurs through solid access to knowledge, technology, capital and markets. e-shape endeavours to build capacity across the whole value chain for the exploitation of EO data and services as well as to boost application sustainability. PARSEC, a holistic acceleration programme, aspires to provide start-ups and SMEs with the necessary resources to develop and launch their own EO based ideas into the market. None about this event: https://talks.2019.foss4g.org/bucharest/talk/WLWCE8/

With Foreign Data Wrappers (FDW) you can access remote objects from SQL databases. This feature is part of the SQL/MED (SQL Management of External Data) specification that was added to the SQL standard. With PostgreSQL you can make use of this great functionality. You can access different remote datasources via FDW for example an ORACLE or MySQL database, JSON- or CSV-file, sources via ODBC and even twitter. The list of FDW is very long: https://wiki.postgresql.org/wiki/Foreign_data_wrappers There are also Geospatial Wrappers for GDAL/OGR, GeoJSON and OpenStreetMap. You can access your geospatial data for example geopackage or OGC WFS via FDW. That is easy and great fun. Some of the wrappers support only read others support read/write access. The presentation will give an overview on the possibilities of Foreign Data Wrappers and show how to setup a connection to remote data using some examples with geospatial data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TYUYZC/

The European Flood Awareness Ssytem (EFAS) operates on a pan-European scale to provide coherent medium range flood forecasts and related informations and which serves as an independent reference information set for most of the hydrological services responsible for flood forecasting in Europe. EFAS was developed from the Joint Reaserch Centre (JRC) and the European Centre for medium range weather forecsts (ECMWF). EFAS provides information to the national hydrological services when there is a danger that critical flood levels might be excedeed. EFAS displays the results of the flood forecasts through a web application that grants end-users the ability to contribute and share information. A part of information provided by EFAS is restricted to the EFAS users (real time forecasts), non real time forecasts are freely accessible for all the users. Though the EFAS interface flood warnings emails are send the the EFAS partners in order to inform them of a possible upcoming event. There are strict criteria on the activation and deactivation of these warnings. Alongside the alerts a daily overview is sent to the Emergency Response Coordination Centre (ERCC) of the European Commission which contains information on ongoing floods in Europe None about this event: https://talks.2019.foss4g.org/bucharest/talk/YQRTP7/

Telling the story of Ms Maya Mielina, a retired GIS analyst and passionate beekeeper, we will show you features that you might not even have imagined existed in QGIS and that will allow you to dramatically increase your efficiency. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QE77K7/

During this 90 minutes slot, the results obtained by the teams at EO Data Challenge will shortly present their results. The following talks will be presented: Visualization and Analysis of Big Multidimensional Geospatial Data on the Web (Candan Eylül Kilsedar), STAC for the decentralized Web (Volker Mische), WebGL for in-browser GeoTIFF processing (Iván Sánchez Ortega), Citizen science in support of landslide detection and monitoring (Vasil Yordanov), EO Data Challenge results (Bang Pham Huu) EO Data Challenge results (Ivian Adrian Albu), LeafS - LEveraging Artificial Intelligence for Forest Sustainability (Teodora Selea). None about this event: https://talks.2019.foss4g.org/bucharest/talk/K7ADDK/

Open Source is more than just a license - join us at FOSS4G to dig into the “best practices” that can help your project succeed with open source. This talk builds on the lessons learned by the Open Source Geospatial Foundation in twelve years helping project teams and building the foss4g community. This presentations looks at the core values that OSGeo as an organization ask projects to adopt. We will discuss why we consider these factors critical to success, and practical ways they can be applied to your project. * To introduce OSGeo principles we will look at what is required to list an open source project on our website. * Our community program is used to explore how these principles are applied in practice. * Unpack how each principles is realized in the OSGeo incubation program, using examples of “OSGeo Projects” to explore different ways of achieving success. We invite project teams interested in succeeding with open source to attend this talk (and list your project on the OSGeo project directory after the presentation). If you are new to open source, or cautious, consider this talk an introduction to some of the risk factors associated with open source and community work - and mitigation steps to consider. None about this event: https://talks.2019.foss4g.org/bucharest/talk/Z8RG3T/

This is the FOSS4G 2019 awards ceremony: Eo Data Challenge award, Sol Katz award, developer award None about this event: https://talks.2019.foss4g.org/bucharest/talk/QFEMGG/

This is the closing ceremony of FOSS4G2019 Bucharest! None about this event: https://talks.2019.foss4g.org/bucharest/talk/A9PQLB/

SHOGun is an Open Source WebGIS framework, that is widely used in private companies, public administrations and also research projects. SHOGun combines user-, data- and application management through a webfrontend, like many others do. Learning new workflows and familiarizing yourself with new application environments is a big challenge for many users. Therefore, possibilities should be created to make the changeover easier for users and to link new technologies with existing ones. In order to bring desktop GIS and webbased GIS systems cloer together, we developped the QGIS plug-in "SHOGun Editor". The talk will show how SHOGun-based WebGIS applications and GeoServer served layers can be administered in QGIS with regard to adding and styling layers and applications. The plugin uses both, the SHOGun and the GeoServer REST API. Using the SHOGun editor, the most central entities layers and applications can be administered almost completely. This includes the creation of new projects/applications as well as the addition and styling of layers. SHOGun-Editor provides the extensive editing options of QGIS also for web applications with a modern, stable and secured backend and helps to setup a pure Open Source based Geodata-I None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZL3PGE/

Social media have shown significant contribution in disaster reliefs. It could be very valuable source of the on-site information shared by the affected citizens. Particularly, Twitter is currently one of the most popular social media used for the exchange of information connected to the disasters. If this type of source is considered as a real-time crowdsourcing of crisis information, the spatial distribution of geolocated tweets related to an event can represent an early indicator of the severity of impact. This raises a question if rapid mapping teams could use additional information from Twitter before mapping. Would it be possible to estimate the outcome, to understand the affected zones and approximate level of impact? The aim of this paper is to explore the spatial distribution of the Twitter posts related to a disaster and to analyse their potential in providing fast insight regarding the impact. The focus of the analysis was on the tweets related to the hurricane Michael that happened in Florida, in the United States on October 2018. The crisis maps produced by Copernicus Emergency Management service were used as reference data and obtained results were compared with them. Copernicus EMS have produced twenty-five delineation maps over the coast of Florida. Six maps were delivered on the 11th of October and the rest of crisis maps were published on the 12th of October. The focus of this study is to explore the potential of Twitter’s crisis posts in providing information before the delivery of maps. The available message dataset consisted 8169 tweets posted from 10th until 15th October. The tweets published before the delivery of crisis maps that are inside of the crisis maps’ area, in total 30% of the available dataset, were analysed. Weights have been assigned to each tweet, on a base of the date of posting; i.e. newer posts were considered as more relevant. Spatial statistics have been performed with QGIS and GeoDa. For example, the QGIS plugin Hotspot was used to identify where statistically significant spatial clusters were present, more precisely, the zones with significant concentration of relevant posts were corresponding to areas with high impact of the hurricane. Comparisons of the results with the reference data have been performed and discussed, showing the potential value of these data for crisis mapping. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CVUY3C/

The Copernicus Global Land Service (CGLS) aims to provide yearly-updated land cover maps, including land cover fractions (i.e. the fraction of each land cover class within each pixel). It makes use of FOSS software (Python, R, GDAL) for all data processing steps. Our work in the project focuses on two aspects: land cover fraction mapping at the continental level (Africa) and yearly map updating. For land cover fraction mapping, to select the most appropriate method, a number of machine learning algorithms were run on over 300 covariates: Proba-V image time series (100m, 4 bands), DEM, soil and climate properties. Random Forest performed the best with RMSE=16.6, MAE=9.2, and 68±4% overall accuracy. To generate yearly map updates, we investigated different vegetation indices and break detection methods, as well as their scalability to big data (MODIS time series, 2009-2019). All change detection methods tended to overestimate change. Proba-V Mission Exploitation Platform Spark cluster was used to run chunked jobs in parallel. In the future, CGLS aims to move to Sentinel-1+2 for land cover classification and Landsat 5+7+8 for change detection for higher spatial and spectral resolution, but that makes big data challenges even bigger. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BJURSG/

For almost 5 decades, ECMWF, the European Centre for Medium-range Weather Forecast, has been producing numerical weather forecasts and maintained one of the largest archives of meteorological data. Recently the European Commission has entrusted ECMWF with the implementation of the Copernicus Climate Change Service (C3S), and Atmosphere Monitoring Service (CAMS), opening up the access to a huge amount of environmental data. ECMWF has a long experience to decode, manipulate and visualise GRIB and NetCDF data. This talk will present how with the help of community open source tools users can more easily explore these large datasets. But even if users have the right tools and knowledge to manipulate the data, the amount of data to transfer is still a bottleneck. It is why ECMWF embarked in various projects to build and use cloud environments. One of these is the EU-funded Horizon 2020 HiDALGO project, which explores the building of workflows using these tools over various HPC and cloud environments. Open source plays again a vital role to make this happen. First findings of this exciting new work will be presented in this talk. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GKRMUY/

The figure of the Earth can be modelled either by a cartesian plane, a sphere or an (oblate) ellipsoid, in decreasing order with respect to the approximation quality. The shortest path between two points on such a surface is called a geodesic. Studying geodesic problems on ellipsoids dates back to Newton. However, the majority of open-source GIS systems today use methods on the cartesian plane. The main advantages of those approaches are simplicity of implementation and performance. On the other hand, those approaches come with a handicap: accuracy. We experimentally study the accuracy-performance trade-offs of various methods for distance computation (as well as similar geodesic problems such as azimuth and area computation). We test projections paired with cartesian computations, spherical-trigonometric computations and a number of ellipsoidal methods such as [Andoyer'65] and [Thomas'70] formulas, [Vincenty'75] iterative method, great elliptic arc's method, and [Karney'15] series approximation. We also show that some methods from the bibliography (e.g. [Tseng'15]) are neither faster nor more accurate compared to the above list of methods and thus become redundant. For our experiments we use the open source libraries Boost Geometry and GeographicLib. Our results are of independent interest since we are not aware of a similar experimental study. More interestingly, they can be used as a reference for practitioners that want to use the most efficient method with respect to some given accuracy. Geodesic computations (such as distance computations) apart from being a fundamental problem in computational geometry and geography/geodesy are also building blocks for many higher level algorithms such as k-nearest neighbour problems, line interpolation, densification of geometries, area and buffer, to name a few. # References * Some experimental results can be found here: https://github.com/vissarion/geometry/wiki/Accuracy-and-performance-of-geographic-algorithms * A related talk (with some graphs on performance and accuracy) can be found here https://fosdem.org/2019/schedule/event/geo_boostgeometry * The source code of most of the algorithms of the study is in Boost Geometry: https://github.com/boostorg/geometry but we contain to our study GeographicLib https://geographiclib.sourceforge.io None about this event: https://talks.2019.foss4g.org/bucharest/talk/TANLXN/

During the last years, a Borehole Data Management System (BDMS) has been developed by the Federal Office of Topography of Switzerland (Swisstopo). To facilitate the data exchange procedure, a standalone application built with closed source software is used, but this approach starts to feels too hard working by the users and recently an increasing number of partners start asking for a web-based solution. To fulfill this demand, we developed a new Web Application Prototype, sponsored by Swisstopo, using the latest Free and Open Source Technologies. The new application integrates some of the today’s best OSGeo projects and will be available (summer 2019) as a modular open source solution on GitHub and ready to use in a docker container available on Docker Hub. Through two types of authorization, *Explorer* users are able to search the BDMS for specific boreholes, navigate a configurable user friendly map, apply filters, explore the stratigraphy layers of each borehole and export all the data in Shapefiles, CSV or PDF. *Editors* are able to manage in details the informations and publish the results after passing a validation process. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YSET9H/

Curricula in geography and GIS can be transformed by integrating open source GIS with critical human geography. This integration requires students to develop strong skills in assessing error and uncertainty and in questioning the powerful social implications of spatial information technologies, and requires faculty and students to develop new open curricula, features and algorithms to facilitate teaching introductory spatial analysis. Building on three semesters of experimentation with an advanced-level integrated open and critical GIS course, I have transformed a large introductory proprietary GIS course into a critical human geography course with open-source QGIS.<br> Throughout the curricula, open GIS techniques are mapped to critical human geography concepts. Novice GIS students learn fundamental techniques while also learning to question the political economics, social and cultural forces, and instrumental logics that shape GIS data, software algorithms, visualizations, and social impacts. For example, students' first exercise is to practice radical cartography of disabled mobilities. On one hand, they learn fundamental techniques of the vector data model, planning a data collection schema, using a Leaflet application exposing the global positioning system location services on their phones, querying OpenStreetMap data, and creating a QGIS map visualization and print layout of wheelchair users' accessibility on campus. On the other hand, they confront and appreciate social power in construction of the built environment and campus maps, socially differentiated mobility in physical and cognitive space, and potential for GIS to challenge the status quo. <br> What are the substantive differences between teaching GIS and teaching human geography with GIS, or between teaching open and proprietary GIS? Teaching human geography places critical questions about the society and society's interaction with spatial technology first, while the spatial technology itself is not black-boxed, infallible, or determinant. Taken together, students first ask how GIS can be used for critical inquiry and when GIS fails or delivers unsatisfactory results, they ask how open GIS can be altered to produce better answers. The fallibility of open GIS requires a pedagogical focus on assessing error and uncertainty: students must learn to confidently assess the integrity of each algorithms' results. The accessibility and malleability of open GIS enables students and faculty to change GIS as we use it, and open GIS can benefit from cohorts of novice students critically engaging with the technology. New forms of GIS users and applications emerge as students diffuse open GIS technology through other university courses and internships with grassroots and non-governmental organizations. New forms of open GIS software emerge as students help create more user-friendly open GIS for novices and repurpose open GIS for critical inquiry. None about this event: https://talks.2019.foss4g.org/bucharest/talk/EZVUUY/

OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles, which are ready to use in OpenLayers, Mapbox GL, Leaflet, QGIS as well as mobile applications. This talk gives an overview of the major changes in the project. Apart from providing a base map of the whole world, the same principles of OpenMapTiles can also be used to create various thematic layers. We'll also talk about and demonstrate a possibility to build on top of the OpenMapTiles tools to produce the vector tiles in different coordinate systems while keeping all the features, such as interactivity to create powerful region-specific applications. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A77U7H/

<p>Most real world features can be presented as vector or raster layers. In open source world, GDAL provides a comprehensive set of tools to interact with such datasets. But vector or raster is not always a suitable description of real world features. Data from oceanography, metrology, hydrology, etc often have multiple components at each location on an irregular structured mesh. A **mesh** can a collection of vertices, edges and faces in 2D or 3D space: - vertices - XY(Z) points (in the layer's coordinate reference system) - edges - connect pairs of vertices - faces - sets of edges forming a closed shape - typically triangles or quadrilaterals (quads), rarely polygons with higher number of vertices  Mesh gives us information about the spatial structure. In addition to the mesh we have **datasets** that assign a value to every vertex. For example, ice cap thickness at particular moment of time. A single file may contain multiple datasets - typically multiple quantities (e.g. water depth, water flow) that may be varying in time. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/XD8EZL/

Deltas are the most productive and economically important global ecosystems associated with some of the largest coastal marine fisheries and the majority of global wetlands. They also the most extensive coastal lowlands threatened by climate change and human activities such as agriculture, navigation, fisheries, forestry, fossil energy production and industrial urban development. Under climate- and human-induced sea level rise, sediment trapping behind dams and destruction of natural protective ecosystems, deltas are currently sinking at accelerating rates. Deltas maintenance and reconstruction depends on effective monitoring of vast and intricate areas of channels, lakes, wetlands, beaches, and islands that cannot be effectively accomplished on the ground without prohibitive expense. If ignored, disappearance of deltas will soon have devastating consequences for the livelihood of the half billion people who live in these coastal regions and lead to mass migration. I’ll present ideas & initiatives that seek to monitor deltas remotely and plug spatially-distributed data into models of hydrology, morphology, and ecosystem dynamics using remotely-sensed data from satellite missions that are complemented by ground sensor networks. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ETCXMP/

The talk will introduce Copernicus - the European flagship Earth Observation programme - its support for European policy, the Copernicus startup and research programmes, and its contribution to the European Data Economy. The talk will also discuss the challenges and opportunities related to the large volumes of data being generated. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZLLXY9/

Water and Sanitation Corporation (hereinafter, called WASAC) and Japan International Cooperation Agency (hereinafter, called JICA) are coducting the project for strengthening operation and maintenance of Rural Water Supply Systems in Rwanda (hereinafter, called RWASOM) since 2015. RWASOM mainly supports 4 model districts - Rwamagana, Kayonza, Ngoma and Kirehe at the Eastern Province in Rwanda. The project conducts developments of manual and capacity building of WASAC, Districts and Private Operators. <br> Currently, most of countries focus SDGs to achieve 100% water access by 2030. Because of that, it is very necessary to collect and analyse the GIS inventory data for water supply management, especially planning and improvement of operation and maintenance. <br> Now WASAC has started to map all of water facilities data in rural area under support of RWASOM since July 2018. Then, we also started to use collected data by offline since Feb 2019. <br> We spent the minimum budget to conduct our mapping and data sharing without customizing FOSS4G so much. This our approaches might be very useful for other users in developing countries. So we would like to share our experience and approach of FOSS4G in Rwanda. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KARD8L/

The sheer amount of statistics collected as the world entered the age of Big Data transformed computers from simple tools for processing data into complex machines able to present the results of this processing as compelling visuals with little to no human input. And when it comes to presenting the evolution of phenomena that vary in space and time, there is no better solution than a map. As part of a project involving a major institutional client, we developed a FOSSGIS-based custom spatial visualisation widget for use with Microsoft’s PowerBi. Integrating with an environment that includes a plethora of graphical representations for data, the developed widget, built on top of OpenLayers, provides a novel view of data with spatial characteristics. Unlike the default map widgets, it allows the use of custom, time-enabled geometries, as well as custom basemaps, consumed using open standards (GeoJSON, WMS), custom projections (with Proj4js), feature zoom across the International Date Line and complex visualisation using charts on top of choropleth maps. We thus show the advantages of using open-source GIS technology on top of proprietary frameworks, providing advanced, project-specific features supported by a wide community. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A9LKYS/

TEAM Engine is a testing facility enabling developers and users to test geo services, such as WFS or WFS, and geo formats, like GML or GeoPackage. The Open Geospatial Consortium (OGC) provides various test suites for TEAM Engine to support implementing and testing of GIS software basing on OGC standards. TEAM Engine is an OSGeo project in incubation phase. A test suite for new OGC standard WFS 3.0, which is currently a candidate standard (status of April 2019), was developed as part of OGC Testbed 14 initiative. As this standard uses completely different concepts in comparison to, for example, WFS 2.0, several conceptional questions had to be discussed and solved during implementation of test suite. This talk presents how the new OGC standard WFS 3.0 can be validated with TEAM Engine. The process of creating a new test suite as part of OGC Testbed 14 initiative is highlighted. This includes a short introduction of WFS 3.0 standard itself. Further, current developments in TEAM Engine project are presented and an outlook is given. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FK79AX/

The SoDUCo is a research project proposes to develop methods and models to study the evolution of the urban spatial structure in relation with social and professional practices. It allows the qualification of geo-historical sources (maps, directories, etc.), the semi-automatic extraction of the information and their (spatio-temporal) matching. Software components are all open-source and produced datasets are free to reuse. The reconstitution of the evolution of Paris from 1789 to 1950 will be done by using two specific sets of sources: master maps (datasets mainly from the BnF (French National Libray)) and the complete series of cadastral maps which describe the evolution of road networks and urban fabric and, for the same time period, street & trade directories, which provide the socio-professional activities aor status of people localized by their addresses. This talk will show how partners (French National Institute of Geographic and Forest Information (IGN), EHESS, National Archives and EPITA ) will build the final product of the SoDUCo project consisting in the first unified, distributed, reusable and interoperable platform to handle geo-historical sources. We will also show how we animate this cross-domain project. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GJXH3P/

The Java Advanced Imaging is a powerful Java image processing engine underlines our popular OSGeo open source projects - including GeoTools, GeoServer, GeoNetwork, GeoNode, and more! This talk explores: * Capabilities that make JAI attractive for GeoSpatial work * How JAI has been used in our community * The JAI-EXT project by GeoSolutions * Secret stuff that may be ready by August One of the reasons our community has been so addicted to this library is its power. It explored concepts like parallel processing, and distributed parallel processing in 1999, well ahead of the curve. It is an excellent example of engineering and software design. Tragically there has been one problem with this ... the JAI library is not open source! The library originated at Sun Microsystem as a core component of the Java Runtime Environment, but was not included as part of OpenJDK collaboration. Importantly we will cover the search for an open source alternative, and the exciting progress made thus far. Come see how this foundational library is being propelled into an open source future by our community. None about this event: https://talks.2019.foss4g.org/bucharest/talk/Q9ZKFX/

The impact of land use and land use change and forestry (LULUCF) on soil organic carbon (SOC) stocks and greenhouse gas (GHG) emissions is important for both national GHG inventory reporting and worldwide strategy to offset GHG emissions. Within the Irish Soil Organic carbon and Land Use Mapping (SOLUM) project, Eurostat’s Land Use/Cover Area frame Survey (LUCAS) of 2015, LUCAS soil survey of 2009, and ancillary national open data were employed in an analytical GIS framework to develop spatially integrated soils and land use dataset specific for Ireland. In order to capture dominant Irish land uses that are not included in the EU wide LUCAS survey, the LUCAS dataset was reclassified to grassland intensification and management for IPCC reporting purposes using a formal, semi-automated, interpretation key approach. All types of land use were ascribed to a soil label using the open source Soil Information System (SIS) for Ireland and other ancillary geospatial data, thus generating LUSII, Land Use and Soil Inventory for Ireland. Thus LUSII builds on an existing EU wide Open Data set with local knowledge and GIS analysis to create a new more applicable national dataset. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9A3ZZF/

You keep using that word. I don't think it means what you think it means. None about this event: https://talks.2019.foss4g.org/bucharest/talk/V7CMRA/

Tokyo Metropolis publishes a lot of data, and holds an application contest using that data every year. The 2017 contest had the challenge of "developing a tool that would allow everyone to find the perfect toilet for them on the go". I applied for the contest on this subject. There is a chat tool named LINE in Asia,many people use it. We can respond to user input programmatically by creating an auto-answer program called Bot and linking it to this chat tool. I thought that I could search for toilets from LINE if I made a search bot. Some Japanese public toilets are barrier-free.Some toilets have a table to replace baby diapers. Some toilets have facilities for people who wear stoma to clean it. The toilet data published by the Tokyo Metropolitan Government contains information on the position of the toilet and the equipment attached to the toilet. The chat tool LINE is often used using a smartphone. If you use a smartphone, you can search public toilet in Tokyo. So I made a prototype to search the toilet using location and facility information as LINE input program. I used FOSS4G to handle location information in creating this program. At this conference, I would like to explain this development. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QKRPMV/

Manual polygon digitization on maps by non-gis people creates possibility to encouter with topology exceptions and user mistakes like holes, slices and so on. We used solution to build blocks grid over Estonia so whole country is covered with various size of blocks based on versatile information like cadasters, roads and addresspoints. Result is massive arrays of relations between blocks identificators and areas. This solution creates one geospatial layer with more than million block identificators which can be used by multiple datalayers. If one block changes then all datalayers where this block were used, are affected. It offers us to discover areas which are not covered or areas which are overlapping each other. In presentation I will talk about why this idea came up, how we created block grid from data we had, how we choosed technology to build whole system and how we succeed in result. Technologies in presentation includes OpenLayers, React, Redux, GeoServer, PostgreSQL, PostGIS, Mapbox Vecor Tile, OGC Standards WFS-T, WMS, SLD and many more. None about this event: https://talks.2019.foss4g.org/bucharest/talk/XRWMPM/

Our seas and oceans are substantially polluted by conventional and chemical munitions from the two World Wars. They were introduced by different pathways e.g. mine laying, naval battles and shipwrecks. However, the biggest amount originates from large scale ammunition dumping activities after World War II. The goal of the OpenSource based Ammunition Cadastre Sea is therefore data acquisition, assessment and monitoring of the status of ammunitions in our seas and oceans and their effects. Almost all relevant data in this field has a spatial context. Therefore the idea is capturing, visualizing and analyzing everything that is related to ammunition in the sea (e.g documents, maps, high-resolution measurements) and combine everything by spatial relationships. In addition, a key component of the Ammunition Cadastre Sea are European research projects e.g. DAIMON or North Sea Wrecks. DAIMON (Decision Aid for Marine Munitions) uses for example artificial intelligence to analyze complex situations and provides recommendations for actions. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NPY8RV/

During the last decades, many climatic parameters are more and more deviating from the average according to the mean values registered since consistent weather observations are available. The World Meteorological Organization (WMO) stated that the 2015, 2016 and 2017 years were the warmest since 1850 [1]. This trend is going to be confirmed in 2018 according to the preliminary data analysis of the last year. Drought events will likely occur more frequently or with an higher intensity either in Europe and in Asia [2,3]. Sri Lanka is not an exception, the norther-east area is already facing long period with very few precipitation events. Drought has multiple impacts on environmental and socio-economic aspects such as water resources management, human lives, energy consumption and many others. This climatic scenario highlights the importance of the development of monitoring systems to support the management of the drought risk. The 4onse project (analysis of Open, Non-conventional, Sustainable and Effective monitoring systems), funded by the Swiss National Science Foundation (SNSF), aims to evaluate “non-conventional” Environmental Monitoring System (EMS) based on open technologies both hardware and software. At this state of the project, after developing and validating the prototype [4], 30 weather stations have been deployed in the Deduru Oya Sri Lankan basin and collecting the basic weather parameters (air temperature, humidity, pressure, accumulated rain, wind speed and wind direction). The system can help developing and low-income countries in coping the lack in the monitoring and management of natural hazards. In fact, thanks to the collected data, it is possible to elaborate some drought indexes which help in evaluating the intensity of the dry periods. The Standard Precipitation Index (SPI) has been selected as principal indicator to evaluate droughts. The SPI has been calculated integrating the data collected by the 4onse stations together with the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset. In this paper, the authors present the results of the methodology used and the proposed system to share the information that are useful to better take mitigation actions in time. [1] WMO WMO statement on the state of the global climate in 2017; 2018; ISBN 978-92-63-11212-5. [2] Spinoni, J.; Vogt, J.V.; Naumann, G.; Barbosa, P.; Dosio, A. Will drought events become more frequent and severe in Europe? International Journal of Climatology 2018, 38, 1718–1736. [3] Guo, H.; Bao, A.; Liu, T.; Jiapaer, G.; Ndayisaba, F.; Jiang, L.; Kurban, A.; De Maeyer, P. Spatial and temporal characteristics of droughts in Central Asia during 1966–2015. Science of The Total Environment 2018, 624, 1523–1538. [4] Strigaro, D.; Cannata, M.; Antonovic, M. Boosting a Weather Monitoring System in Low Income Economies using Open and Non-Conventional Systems: Data Quality Analysis. Sensors 2019, (accepted). None about this event: https://talks.2019.foss4g.org/bucharest/talk/MLUXMW/

Funded be the European Commission as a H2020 project, openEO aims for a new web service standard to process Earth Observation data cubes. At its core, openEO provides an http application programming interface (API) that defines how users can discover Earth observation data cubes and process them on compliant cloud back-ends. The back-ends run their own API instance, translating the http requests to their environment. The front end API implementation can serve different languages (R, Python, Javascript) on the client side. The openEO project has foreseen that APIs are implemented with an open source license (Apache 2.0). A number of back-ends are already available that are compatible with this suggested openEO standard. For instance, within the Joint Research Centre (JRC) of the European Commission, an API implemented in Python is being developed that can discover and process geospatial data collections available in the JRC Earth Observation Data and Processing Platform (JEODPP). For the back-end, an in-house library is being developed under the European Union Public Licence (EUPL). In this presentation, we will highlight the openEO concepts and focus in particular on the JRC back-end implementation details. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZDVLRS/

ECMWF is an operational centre, producing global numerical weather predictions. ECMWF also operates many services for the EU Copernicus programme . ecCharts is a suite of web based services to visualise and explore ECMWF real-time forecast. The service offers a Web Map Service (WMS) as well as an interactive client application which provides forecast data for meteorological community including Copernicus services. Recent development work involved the replacement of the client application with OpenLayers and implementing a caching system with MapProxy. This posed many challenges due to size and frequent updates of the data, combined with the challenges of offering a fast and smooth user experience. The work also resulted in contributions to open source projects, like OpenLayers, which will benefit the wider user community. This talk presents the benefits of moving to open source community software,the architecture of the updated system and on the challenges and the solutions that are taken when dealing with big and dynamic data sets both at the frontend and at the backend services. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VDZN33/

The Open Green Map app has been used by map makers around the world to collect thousands of green sites over the last decade. With a new implementation, the Open Green Map has potential to truly live up to its name, and achieve a sharable, scalable, fast and easy to use application. This is what the project I will present sets out to do. Working on an open source project can sometimes make it seem like compromises around performance or user centric design are reasonable. What if you don't want to compromise in any of these 2 directions? By using an appropriate and modern tech stack, along with generative programming techniques, we hope to introduce a new approach for creating GIS applications. This talk will introduce how the new Open Green Map app works, and advantages of using DLang and Ember for a GIS app. We will also take a look at challenges that arise in relation to implementing GIS applications while having plenty of constraints around resources, and when helpful open source libraries are missing. The presentation will include an overview of the infrastructure, examples of how we generate REST APIs based on the app models and a quick look at how we efficiently display the sites on maps. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VTNTG8/

Natural hazards such as floods are receiving a lot of attention around the world and the vulnerability assessment is a strategy to develop prevention and mitigation plans. But it is important to work under a conceptual framework that considers communities as socio-ecosystems, especially with climate change. In Colombia, floods have always been a serious threat for its population, and many coastal communities could be in risk. To face these hazards, mangrove forests are fundamental elements for the resilience of coastal livelihoods and the entire coastal zones. Then the COASTMAP URABÁ project that is being carried out since 2017 in the Urabá gulf in Colombia and that so far has created free access maps of two coastal communities using the mapping methodology created by the HOT team, has allowed the development of a Flood Vulnerability Index for coastal social-ecosystems (FVIc) that could be used in all the coastal communities of the country. None about this event: https://talks.2019.foss4g.org/bucharest/talk/B7EWW9/

With PyQGIS you can write scripts and plugins to implement new features and perform automated tasks within QGIS, let's see how we can do that more efficiently thanks to some nifty tricks. Thanks to tricks like using decorators and the qgis.utils module one can improve readability and performance by simplifying a lot of code None about this event: https://talks.2019.foss4g.org/bucharest/talk/QQWQQE/

If a company discovers GIS as a usefull tool, it normally starts with a few desktop GIS (most likely QGIS) users. Later on, if GIS is more widely used within the company, the need for a spatial data infrastructure (SDI) arises. This presentation shows how to step-by-step create a slim SDI around QGIS, which other software components can be used, their advantages and disadvantages and how they play together with QGIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/F8NTTR/

Comet Time Series (CometTS) is an open-source tool that facilitates analysis and visualization of satellite imagery time series. Such analysis can enable population estimation research, change detection methods, or natural disaster monitoring. Historically, analyzing large time series of satellite imagery was achieved using proprietary GIS tools or by time-intensive methods requiring substantial geospatial expertise. CometTS requires only a web browser, Python, and dependent packages to function, obviating the GIS requirement for time series analysis and visualization. CometTS provides a partially automated approach for analyzing a time series of satellite imagery in any user defined area of interest, then calculating relevant statistical quantities (e.g., measures of central tendency and variation), and visualizing their changes over time, all in a matter of seconds. The overall focus of this talk will be on the development and application of CometTS for two analyses: 1) analyzing dynamic population changes over time in Africa and the Middle East and 2) ccreating the first independent estimate of the number of persons without power over time in Puerto Rico following Hurricane Maria. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A8W7SM/

This talk will provide an analysis of U.S. caselaw regarding self-replicating technologies, such as open source code, and patent exhaustion rights. It will discuss what it currently means to "sell" a "product" sufficiently to invoke patent exhaustion, and how that corresponds to the normal ways in which organizations typically interact with FOSS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/STYGFY/

PostGIS is a spatial extension to PostgreSQL database. This year it gets new major release, 3.0, after seven years of being in 2.x. We'll go deeper in what was changed, and why you will want to bring these changes into your setup as soon as possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ARZPPE/

Vector tiles are an established format to publish highly interactive maps for use on mobile devices and desktop browsers. A benchmark compares MVT tile generation and tile serving performance of specialized servers like t-rex and proven map servers like UMN Mapserver. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VUHLFF/

(G)EO Hack 19 is an innovative hackathon at the interface of traditional and scientific knowledge that will take place during the GEO Ministerial Summit.The EO-based challenges will be co-designed by indigenous youth communities throughout the world to encourage the co-development of innovative EO-based applications that are locally relevant and enhance the communities way of learning. The primary goals of the activity are to promote the use of open EO data among indigenous communities and ultimately to co-design locally relevant free and open source software that promote new means for aligning local/ traditional knowledge and science co-production across cultural and generational lines. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ES9YTG/

We started working on BIM (Building Information Model) and GIS integration in 2016. At that time, as one of the results of EU funded research project [DIMMER](http://www.drawingtothefuture.polito.it/projects/dimmer/), we [linked](http://2016.foss4g.org/talks.html#140) the simplified representations exported from BIM to the urban environments in Turin, Italy and Manchester, UK. Since 2016, our work on GIS and BIM integration has steadily [progressed](https://webthesis.biblio.polito.it/6408/). Nowadays, the Municipality of Turin uses the successful integration of GIS and BIM objects for internal facility management of thirty public owned buildings in Turin. Adopting the [3D Tiles](https://github.com/AnalyticalGraphicsInc/3d-tiles) OGC standard, we stream and render online the full BIM and photogrammetric reconstruction of Turin buildings and monuments. Also, using open source tools and open data, we extend the value of digital BIM through visualisation and integration with available cartography. This allows us to fully benefit of BIM potentiality in terms of data and object management. Furthermore, we display our maps and models using open source virtual globes, an easily accessible environment. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3EDL7D/

Created to serve a locally-led global map making network, the original Open Green Map (OGM) - www.opengreenmap.org, a social mapping platform, was launched by Green Map System in 2009. In the decade since, an 8 language interface and mobile site collector are among the features that attracted users in 40 countries. Dubbed ‘open’ as sites could be enhanced by the public, more than 40,000 sites were added to the OGM locally on 600 unique maps. Many of these maps became the backbone for local engagement projects and led to interactive spin off editions, print maps, experiences and media projects. Already recognized in 65 countries, Green Map Icons bring a wide range of sustainability resources to light. These lively symbols identify, promote and link local resources in an eye-catching, easy to grasp manner that systematically connects themes and places in meaningful way. Green Map has always served a mixed group of participants, including NGOs, schools and local governments. Since the globally-designed set of shared icons date to 1996, for many early users, Green Map was their first internet project. These evolving Icons have been provided as a font so they could be used with any graphic design or GIS application. None about this event: https://talks.2019.foss4g.org/bucharest/talk/W7JXB9/