Chaos Computer Club - archive feed

Working with the software for geospatial data visualization or analysis, we always spend time to change styles, define the extent, grid size or influenced area. It is not just a time-consuming activity and a threshold for newcomers - for lot’s of cases using default parameters could mislead the researcher and return inappropriate results. It’s time to change it over. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZYX3V7/

I have been using QGIS for a looooooong time....as a developer platform, not so much as a 'production GIS user'. In March 2019 I bought a smallholding in Portugal, moved my family, 2 dogs, 2 cats, all my gardening tools and a lot of stuff I probably won't need from South Africa to Portugal. Now what? Get mapping of course! I dug out my trusty copy of QGIS, loaded INPUT and QField on my Android tablet and got to work! In this talk, I will show how I used QGIS to plan my field mapping work, build a detailed inventory of my smallholding and generally tried to make the most awesome kick-butt QGIS project on the planet*. * Measured by totally scientific and unbiased methods. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HPT8BF/

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/

<p>A common question seen on many open source mailing lists is “When will you guys fix my bug? It is critical to my company!” This is often followed by one of the developers replying to say “When you write a fix or pay someone to do it”. This leads to the user complaining to everyone that this “snarkiness” is not a “welcoming” response or how unreasonable it is to expect them to learn to program, or to pay. The discussion often descends into a rambling maze of twisty insults and justifications. When the fuss dies down, all the developers go back to doing what they the were doing (something useful) and the user becomes either a dissatisfied user or an ex-user. This talk by two veteran open source developers will help users see that play out from our the developer point of view. We’ll look at the reasons that drive developers to share their code, the licencing conditions covering it, the real life of developers and associated constraints, and what is actually reasonable to expect from both sides. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/D9MXGV/

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/

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/

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/

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/

PULSE (Participatory Urban Living for Sustainable Environment) is an EU-financed project that aims to develop a set of models and technologies to predict and manage public health problems in cities and promote health. It follows a participatory approach where citizen provide data through personal devices, that are integrated with information from heterogeneous sources: open city data, health systems, urban sensors and satellites. The project deals with various issues concerning air quality, lifestyle and personal behavior and it aims to investigate the correlations between the exposure to atmospheric pollutants, the citizen habits and the health of the citizen themselves, focusing on Asthma and T2 diabetes.PULSE is being implemented in 5 major cities. The presentation will concentrate on the key geospatial aspects of the platform, implemented using FOSS, highlighting issues and challenges. It will describe the most relevant components, such as satellite data processing, deployment of sensors, management of acquired spatial data, WebGIS and Dashboard tools to provide spatiotemporal visualization and analysis, the integration of models, the definition of relevant index to connect epidemiologic data with spatiotemporal representation None about this event: https://talks.2019.foss4g.org/bucharest/talk/J3QSS7/

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 road traveled to get to a consistent, accurate and fast national vector tile set: Over the past two years we've been testing various open source tools to create and maintain [cartiqo](https://cartiqo.nl): a vector tile set for the Netherlands aimed at creating beautiful webmaps. In this talk we discuss these various tools and explain why we went with **[Tegola](https://tegola.io/)**. Building a harmonized vector tile set based on various open data sources takes more than simply stuffing geometries in tiles. We will discuss the issues we encountered, the choices we made and show some examples what you can do with a rich harmonized vector tile set. By the end of this talk you should be able to build your own national vector tile set. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7MJHTF/

Martin is a PostGIS vector tiles server written in rust. It is *Fast*. Getting vector tiles out to the web has never been easier. This will be a simple presentation showing how to get started using Martin and having your data being pushed to Leaflet, OpenLayers or Mapbox GL in under 20 minutes. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RRCQN9/

The defining characteristic of point cloud data is that they are large, and tools such as [Entwine](https://entwine.io) and the Entwine Point Tile specification can help you overcome their bigness. We will discuss how we used Entwine and EPT to construct point cloud web services for the [USGS 3DEP LiDAR data](https://usgs.entwine.io) of the United States as an Amazon Public Dataset. We will also demonstrate how to leverage EPT web services with open source software such as [PDAL](https://pdal.io) to extract information, enhance data utility, and reduce data volume for tasks such as filtering, object identification, and visualization. You will learn about how these tools work together with others such as [GDAL](https://www.gdal.org/) and [PROJ](https://proj4.org/) to provide data management and processing pipelines for expansive data holdings. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9M3WQB/

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/

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

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/

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/

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/

(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/

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/

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/

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/

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/

It is widely known that China will soon be the leading player in world economy overtaking the traditional hubs of North America, Europe and South-East Asia. Its economic activities increasingly influence countries beyond its own borders and dominate global economic growth. The analysis of the shifting axis uses global trade data that countries report through the Harmonised Commodity Description and Coding System (HS-Codes). The shift of power towards China is evident when the spatial mean of some 220 globally traded commodities is calculated for which data is available. Other geo-(statistical) indicators further quantify and visualise China’s growing economic power while other economic centres cannot keep up with this pace or even decline in importance. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MRTSMJ/

Open source satellite imagery becomes increasingly important in many areas of research and business. In the case of agriculture, it is being used to assess land use, support subsidies, and to help farmers to manage their land more efficiently. Many of these applications require regular revisits to best catch temporal the variety that defines many land uses. Cloud cover can be a serious issue, often obscuring the majority of images acquired from passive sensors. Filtering an area of interest for cloud free images, can be labour intensive or lead to loss of valuable input data. Here we introduce a Python tool developed using open-source packages that will assess user defined areas of interest against supplied cloud masks for three satellite platforms: ESA’s Sentinel-2 (Level 1C products), NASA’s Landsat-8 (Level 1C and SR products) and the joint CNES and ISA platform Venµs. We present a case study from County Meath, Ireland to assess the number of cloud free Sentinel-2 images identified for fields surveyed in the EU Land Use/Cover Area Frame Survey (LUCAS) and compare it to the number of images that would have been obtained by threshold filtering images. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RQFEJA/

Putting together a conference is a huge amount of work, but one that can reap ongoing benefits for the community that makes it happen. Creating one from scratch is a scary thing, but this is what we attempted to do for Oceania in 2018. In the spirit of openness, we'd like to share what we as a region learned as well as the next steps. We'll cover the forming of a conference committee, preparing and running a conference, and creating a sustainable entity and momentum once the conference is over. We're also going to shamelessly promote FOSS4g SotM Oceania Wellington, 12-15 November 2019. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MCCYR9/

Dar es Salaam, the primary city of Tanzania is highly vulnerable to flooding even from minor Storms, floods in 2009, 2011, 2014 and 2015, caused loss of life,injury, and severely impacted diverse sectors. Dar es Salaam’s flooding problems are largely a function of inadequate storm drainage and poor waste disposal practices rather than being driven exclusively by only extreme rainfall. To reduce flood risk through improved management of drain infrastructure The World Bank Tanzania funded the development of a flood risk monitoring system(Twaa Mtaro) to engage communities in drain clean ups, to facilitate community reporting on blockages affecting the flood risk of local drainage systems and provide municipalities with relevant data related to drain cleaning activities. The development of Twaa Mtato as a web application started May 2017 however the initial co-debase was forked from Chicago-based website for collecting and displaying resident submissions around snow emergencies called adopt-sidewalk. Twaa Mtaro core is based on ruby on rails, uses postgres/postgis for data storage and leaflet for map visualization, all geospatial data(drains data) was prepared using QGIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SUT9WK/

Vector tiles are a challenge for the creative mind. In this talk we will take you along the path of making artistic styles for your vector tiles like this [Crafty map](https://apps.webmapper.nl/crafty_map/) and the [Paradise in the Polder map](https://nieneb.github.io/mycelium/). Starting from the importance of having a good and clear tile set to making your own sprites and glyphs with command line tools and software like Inkscape and Gimp. After that we show some trick to add animation with Turf.js and D3.js. Like placing random hot air balloons all over your map! Vector tiles are on the cutting edge of technology and creativity, we combine both to show you the endless possibilities that vector tiles offer! None about this event: https://talks.2019.foss4g.org/bucharest/talk/LLECPZ/

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/

Open Source design has a plethora of hurdles to leap before it could become fully adopted by the global design community. Exploitative ‘work for free attitudes’, workflows and how design functions/roles connect up through a product life cycle, how our software doesn’t yet allow for robust and collaborative versioning across different designers and how the open source community as a whole, is over represented by those with privilege, access and ability. Ushahidi builds humanitarian tools, remotely for some of the most marginalised people across the globe. To tackle these systemic problems with how to ‘open source’ a design effort and bring the community along with the, ‘on-staff’ Ushahidi designers, we’ve been piloting a series of design jams on our crisis communication tool TenFour with our partners Designit and Adobe. Together, we’re looking to solve the problems with how open source design can work by engaging through meaningful technology that makes a difference in the world. We’re here to take you through that journey. None about this event: https://talks.2019.foss4g.org/bucharest/talk/F8WDAG/

GeochicasOSM is a community of mainly Spanish-speaking women, from Latin America and Spain, work mapping OpenStreetMap (OSM) and Wikipedia, and related to the geo world and geotechnologies, which work with the goal of closing the gender gap in different communities in which they participate through joint and collaborative projects and initiatives among women. The group was created at the 'SOTM LATAM 2016' Conference in São Paulo (Brazil) and there are currently users in at least 20 countries around 3 continents. The co-founders are Selene, Céline and Miriam, and are based in Mexico and Paraguay. Among its diverse and varied projects, with the common nexus of making women visible, the following can be highlighted: Survey on gender in the OpenStreetMap community; Training spaces; Preparation of maps with different topics with women as focus point; The Violet Streets; Women Mapping the World; The streets of women, which emerged in the framework of International Women Day and it wants to give visibility to gender disparity that exists in the nomenclature of streets while creating collaboration between both communities, GeochicasOSM and Wikipedia, and the show on the roles of women historically and their socio-cultural contributions. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TA7H7D/

QGIS 3D native rendering has been introduced since QGIS 3.0, thanks for the funding we received from QGIS.org. Over the past couple of years, we have added several features and enhancements. QGIS 3D can now render raster, vector and mesh layers. Depending on the data or geometry type, there are various method of visualising and styling the 3D data. In this talk, we will go through: - Supported 3D data formats - Sources (repositories/download sites and services) where to get 3D data from - Global and per layer configuration options - 3D rendering options (symbology/styling, rule based renderer) - Thematic maps with data-defined extrusions and the rule-based renderer - Drape 2D-data to 2.5d with Processing and a DTM - Animating a movie based on key frames - Printing 3D in a layout The features we'd like to develop in future will include: - Rendering of point cloud - Enhancing the 3D rendering performance - Support for globe None about this event: https://talks.2019.foss4g.org/bucharest/talk/PWUQ8L/

Many of you have asked about the news of fires in the amazon forest and may have a lot of other questions to ask. There are many questions and many different analyses to be made. For the purposes of this presentation, I will propose the following question: “Is the amazon forest being burned in large rates?” I will demonstrate a geoprocessing task using unwieldy data from the NASA FIRMS system (MODIS and VIIRS) and FOSS4G tools to try to answer the proposed question. What I will NOT do is discuss politics, ecology, or causes and effects. This is a complex subject and I believe one should ask questions focused on the decision one has to make. What are you trying to decide? What questions should you ask to help you in your decision? Maybe this presentation will provide you with a workflow and a few tools to do your own research. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YYGMRW/

OSGeoIE was formed in 2015 and this year we held our 3rd annual conference. In our mission statement we aim to "create a networked community of OSGeo/FOSS4G users, developers, practitioners, teachers, advocates, etc in Ireland". Our talk will discuss experiences since 2015: Developing a shared understanding of community participation in OSGeoIE events, how to be effectively resourced as a local community, attempts to establish a more coordinated approach to communication and learning between partnerships, governmental agencies, industry and other software communities and how participation in OSGeoIE make a difference for volunteers and OSGeo/FOSS4G users and advocates? There is increasing cross discipline/domain interest in QGIS with particular interest in QGIS from local government authorities. We have also worked on building strategic and synergistic links with other similar communities such as OSM IE and Python IE. The academic community are actually under-represented at our events. We are interested in hearing feedback from FOSS4G delegates on their experiences of building an OSGeo community in similar sized countries and regions. We also hope to provide inspiration to anyone thinking about setting up a local chapter. None about this event: https://talks.2019.foss4g.org/bucharest/talk/AFRCHM/

In 2018, Ecometrica Ltd. was tasked with identifying potential deforestation over 7000 sites spread across South America over a one year period. This required the analysis of more than 15 Terabytes of satellite imagery, and was equivalent to processing a total area of approximately 25 million km2 for the entire time sequence. Given the vast area and dense time series data required, we developed an approach that uses freely available data from Sentinel 1 (radar) and the Hansen et. al. Forest/Non-Forest map, and processed the imagery with using an open source stack including data preparation software (SNAP toolbox), Omnibus change detection algorithm, and Python 3.x GIS libraries (GDAL, Fiona and Rasterio etc). None about this event: https://talks.2019.foss4g.org/bucharest/talk/TMEUWB/

None about this event: https://talks.2019.foss4g.org/bucharest/talk/RSUTDW/

The FOSS4G community is much more than OS Software. The community, while small globally, has had, and continues to have an outsized impact on science using geospatial data. This impact starts with Open Ideas: the community fosters the free-flow exchange of ideas that lead to Open Standards for interoperability, Open Data for democratizing data access, and Open Source Software for the use and analysis of data. Science fields wishing to leverage remote sensing data has historically suffered from several challenges. Archives of remote sensing data can be large, and finding just the desired pieces of data can be time consuming, as every dataset is accessed in different ways. The data then often requires pre-processing and reformatting: reprojection, clipping, assembling time series, or even some more complex operations. Lastly, processing and analyzing these large datasets can take massive computing resources, making large scale studies difficult, if not impossible. The impact of all this on Open Science (the movement to make science more accessible on all levels) is clear - complex custom-made tools required for each dataset does not support making science more accessible. Now, the culmination of several advances in Open Standards, Open Data, and Open Source, along with cloud computing, are helping realize Open Science. And FOSS4G has been here all along, where many of these advances started as Open Ideas. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TMWYYR/

Spatio-temporal datasets like sensor-data or floating car data can be rather overwhelming because they quickly get in the order of billions of records. In this talk I show how we made billions of floating car data entries into a workable datastream that outputs visually attractive and useful maps and graphs over a routable network. I will start by summarizing the relatively new OS clickhouse database and how this column store helps in dealing with massive temporal datasets. Next I explain how we set up the pipeline with postgres/gis, pgrouting and R in order to create analysis in seconds and share some interesting results that you can get from these large trafficdatasets. The talk will be relatively code-focused (mainly SQL and R) but also show some ind-depth analyses of car data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TE3FC/

Although always a popular format, with the recent specification of Cloud Optimized GeoTIFFs, the TIFF format has had a renaissance as a cloud enabled storage format. Traditional processing software like GDAL took advantage of that, but is not available for browsers and had to rely on server-side processing instead. The geotiff.js library provides a pure JavaScript implementation of the TIFF format and allows the efficient exploitation of large raster datasets with the full range of values and metadata. In this talk, the architecture and techniques used that makes geotiff.js access so efficient will be explained. Additionally recent additional functionalities and developments by growing community will be highlighted. The COG-explorer is a demo application to show the capabilities of geotiff.js by allowing to browse TIFF files on top of an OpenLayers map. It allows to access large TIFF files on remote sources and can combine multiple files and rendering mechanisms to generate visually impressive images. It provides advanced and efficient rendering techniques using WebGL and takes full advantage of the layout of cloud optimized GeoTIFFs and the capabilities of geotiff.js. None about this event: https://talks.2019.foss4g.org/bucharest/talk/UQVC9Q/

In the past, desktop GIS were necessary to handle complex spatial business decisions. This lead to problems with data management, model updates and an increased cost to the organisation in hardware and (often) software maintenance. As organisations move to more cloud based solutions and provide staff with thinner client machines (chrome books etc.) it becomes harder for staff to manage more complex geospatial problems. The Open Geospatial Consortium (OGC) developed the web processing service (WPS) standard in 2005. It provides rules for standardizing how inputs and outputs (requests and responses) for geospatial processing services are made. The standard also defines how a client can request the execution of a process, and how the output from the process is handled. It defines an interface that facilitates the publishing of geospatial processes and clients’ discovery of and binding to those processes. This talk will present case studies of how Astun Technology has used the OGC WPS standard, as implemented by GeoServer, to allow users of web based mapping applications to carry out advanced spatial operations and allowed them to implement complex business logic without the need for specialised hardware or software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VL8H7Q/

[Oskari](http://oskari.org) ([GitHub](https://github.com/oskariorg)) is a open source product for creating geoportals built on top of distributed spatial data infrastructure (like INSPIRE) and is currently incubating for becoming an OSGeo project. This talk is a year in review of what has happened on the technical side of the project and our experiences so far including these highlights: - Migrating from jQuery to React and Grunt to Webpack - Mapbox vector tile support - WFS 3.0 support - Thematic maps with time series None about this event: https://talks.2019.foss4g.org/bucharest/talk/QYFKQG/

You are probably familiar with the terms artificial intelligence (AI), machine learning (ML) and deep learning (DL). However, do you really know how they work with GIS? In this session, we will use Python and various libraries to illustrate how artificial intelligence is used to detect deep and complex spatiotemporal patterns in data, and how to predict geospatial events of interest. This talk will cover several scenarios of applying the latest machine learning and deep learning techniques to geospatial data, including applying object detention using satellite imagery, detecting objects in videos and other workflows to incorporate these data sciences. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JQTVFF/

Keeping geospatial web services operational is best paired with monitoring. Downtime is a key performance indicator, however so are service functionality and performance. The OGC has created a Quality of Service and Experience Domain Working Group to research and provide best practices, illustrating the importance of this topic. There are many HTTP monitoring tools that track general status and uptime. However, OGC web services often have custom reporting errors which are usually not considered. Examples include custom errors or null results based on database issues. In these cases a generic uptime checker will assume the service is functioning correctly though the response says otherwise. These issues illustrate the value of OGC-aware service monitoring and have been missing from the FOSS4G ecosystem. Until now. GeoHealthCheck (GHC) is an OGC web services monitoring framework. GHC is written in Python as part of the GeoPython GitHub Organization. GHC is a monitoring engine that executes “health checks” and a web application which reports on key performance indicators. GHC also supports a plugin framework for specific requirements. This presentation will provide an overview of GHC as well as upcoming features and future plans. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CT7DUR/

A new era is upon us. The OGC service architecture is undergoing a clean break in an attempt to modernize geospatial API standards. REST, JSON and OpenAPI are now common terminology in emerging OGC API standards. This change will greatly lower the barrier to implementation of services, clients and associated toolkit. pygeoapi is a young and emerging project that is an early adopter of the new OGC API efforts. pygeoapi is an extensible geosaptial web API framework based in Python that already supports WFS 3.0. This presentation will provide an overview of the project, standards supported, extensibility/plugin framework, real world implementations as well as future plans. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MNY9AW/

From the data activism in Mexico (OpenStreetMap, Geochicas, and individual), I sought to make the civil and public actors aware of the use of data, the analysis, the research of rich and varied data, the integration of data from the citizens, in particular with a Gender perspective. In Mexico, where gender-based violence is a serious obstacle in women daily life and development, and where data is poor in general to show social issues and improve policies, it's a real challenge for civil society and academics to lobby policies making through data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QZUDRR/

This talk highlights the issues that need to be addressed to successfully migrate from a GIS solution based on commercial products to a solution based on open-source software, in particular QGIS. What can be done? Where to start? What are the potential elements to convert? Which strategy to adopt? The talk will try to answer these questions by showing examples and lesson learned from successful Migrations. By presenting ad-hoc open source tools developed to solve specific problems and explaining how a migration can be tackled in cases where there are currently no specific tools we want to give you all the information needed to take informed decisions. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PJRTZL/

Accessibility to primary health care (PHC) in developing countries is crucial and remains a challenge with conflicting statistics in Malawi. For instance, the Health Sector Strategic Plan II, 2017-2022 reports accessibility at 90 % while the Demographic Health Survey puts it at 56 %. The discrepancies emanate from multiple factors among which is failure to incorporate critical geographic cost factors like elevation, road networks, road conditions, etc. in the estimation models. This study, therefore, seeks to develop a PHC accessibility estimation model that incorporates cost spatial factors of elevation and road network distances using open source software and geospatial routing techniques.The accessibility analysis was evaluated using 2 step floating catchment area (2SFCA) model implemented using PostgreSQL/PostGIS and based on the pgr_dijkstraCost algorithm. The model score was expressed in terms of time of travel assuming walking as the mode of travel with a 1-hour threshold indicating acceptable accessibility. To improve accuracy, the road network data was exploded to 20 m node distances. 2SFCA creates two catchment areas called floats in each step.The first step determines the population falling within a specified cost threshold and the facility population ratio. In the second, for each household, the model determines services available within the specified cost threshold at facilities and adds it to the facility population ratio to derive an accessibility score. The 2SFCA score starts from 0 growing boundlessly with 0 indicating households not within the 1-hour threshold. Higher scores indicate access within 1-hour and to multiple facilities or multiple services within an hour or facility respectively.The 2SFCA model result scores ranged from 0 to 0.19, with 100 and 58 % of urban and rural households within 1-hour of a facility (2SFCA > 0) respectively and a district average of 62 %. 70 % of the urban households have access to multiple health facilities (2SFCA > 0.01) as opposed to only 16 % of the rural households. As such the findings provide, arguably, spatially objective PHC accessibility data to inform policy direction and also reveals accessibility to PHC in Malawi to be lower than reported. Besides the evaluation of PHC accessibility, the application of FOSS tools in this study, strengthens the case of their relevance in low resource contexts where computation power and electricity can be intermittent, making it difficult to run models that span multiple days. Using PostgreSQL/PostGIS for relational spatial analysis modeling made it possible to resume modelling after power outages. Thus, the study has successfully demonstrated utility of relational spatial analysis using open source technologies in low resource settings of the developing world. With improved computational capabilities such models can be used for national benchmarking of accessibility and hence provide concrete data on the provision of PHC and other applications None about this event: https://talks.2019.foss4g.org/bucharest/talk/CWT3DA/

Copernicus offers, besides the well-known Sentinel satellite data, a wealth of domain-specific open environmental data sets, e.g. data on climate, wildfires, air quality, floods. One of the most popular data set useful for many environmental applications is the climate reanalysis ERA5 produced from the European Centre for Medium Range Weather Forecasts (ECMWF). Improvements in the spatial and temporal resolutions lead to an increase of the entire data volume up to 5 PBs. Additionally to the sheer amount of data, meteorological and climate data have a certain complexity, especially for “non-expert” users, as data can have up to five dimensions and two time dimensions. The current situation shows that a full, free and open data policy is one important prerequisite, but the key to fully unleash the potential is making the data ‘accessible’. If open data is not accessible, it becomes open data that is locked away in large data silos. However, making meteorological and climate data “accessible” means more than just improving data access. It requires improvements and developments along the entire data processing chain, including the development of example workflows and reproducible training materials as well as developing / enhancing mainstream open-source software tools. In this context, the FOSS4G spirit is vital. This talk puts the spotlight on open meteorological and climate data. Current ‘accessibility’ challenges and future needs will be discussed in order to make open meteorological and climate data better accessible to everyone. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KENHRF/

Migrating to opensource is a No-Go, some say... No support, No warranties, No sales reps, No help, just a bunch of Garage companies... or is it, migrating to opensource is a no brainer… No licenses, No costs? When evaluating a migration to opensource we should definitely consider all the points above, and while all the negative views are often used to spread FUD[1] by proprietary software vendors, seeing the absence of licensing costs as the main advantage of such a migration can and probably will lead to uninformed decisions and unexpected results. While it is true that an opensource solution has a generally much lower TCO[2], to effectively use opensource tools in an enterprise environment, other aspects like product ownership, responsibilities and [re-]training need to be considered to ensure a painless move to the world of No lock-in, agile projects and technological advantage. [1] Fear, Uncertainty and Doubt [2] Total Cost of Ownership None about this event: https://talks.2019.foss4g.org/bucharest/talk/XGMF7P/