Chaos Computer Club - archive feed

With QGIS 3 and the processing module refactoring, it is easiest to add tools without the complexity of plugins. We will discuss the way to add algorithms in python to QGIS and the advantage of using processing. We will also discuss the limit and future of processing modules. As described by Victor Olaya in 2016 during the 2nd International QGIS Conference, all the QGIS tools should be algorithms. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YLFXEV/

OGC and OSGeo have a long history of cooperation, since many years we work together through a Memorandum of Understanding, which amongst other aspects provides OSGeo to a certain extend access to the OGC standards development process. The cooperation is meant to bring in requirements, ideas and expertise from the OSGeo community to the OGC programs and processes and provides the OSGeo community with an insight into the current developments of open standards. This presentation gives an insight into the development of xyz software (PyCSW?) and the implementation of the abc standard (CSW?) into the software. How does the standards development work in the OGC? What are the perceived benefits of participating in the Standards Program and why does it matter for open source software developers to contribute to the standards development. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3MKSF3/

OGC and OSGeo have a long history of cooperation. Since many years we work together through a Memorandum of Understanding, which amongst other aspects provides OSGeo to a certain extent access to the OGC standards development process. The cooperation is meant to bring in requirements, ideas, and expertise from the OSGeo community to the OGC programs and processes and provides the OSGeo community with an insight into the current developments of open standards. OGC's Innovation Program (IP) provides a unique way to address real world scenarios and interoperability requirements. Via practical Technology Integration Experiments (TIEs) using demonstration implementations and deployments it helps to identify the necessary enhancements, gaps, and new developments in both, standards and software. This presentation gives an insight on how an OGC and OSGeo member can benefit from the active contribution in both organizations and how the IP Program can help with their projects. None about this event: https://talks.2019.foss4g.org/bucharest/talk/WT8HLL/

GeoRasterLayer is a plugin for Leaflet that enables users to add GeoTIFF files to their web maps. By removing the need for a tile server, GeoRasterLayer can save users a lot of effort and money, but building the plugin didn't come without its challenges. This talk walks through the algorithm for visualizing large GeoTIFF files on a web map while boosting performance. Specifically it will discuss the algorithm implemented for the Leaflet plugin, but the lessons learned can apply to any web mapping library. It will cover topics like cloud optimized geotiffs, nearest-neighbor interpolation, raster resolution, and projections. None about this event: https://talks.2019.foss4g.org/bucharest/talk/P37UPQ/

[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/

The present talk has the objective of describing the best practices for Metadata catalog setups, developed for the National Spatial Infrastructure of Argentina. Bringing together the notions needed to implement the 19115 ISO Standard, thinking about the processes of the geographic information in each organization but also how to do it using free and open source software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MFQMWW/

For the last four years, the Transitional Justice Working Group's mapping project has interviewed North Korean escapees living in South Korea in an effort to determine where the victims of the regime have been killed and buried. This talk will present the mapping system we've developed, the challenges we've faced building it, and how many of these challenges have been partially or fully addressed using free and open source software and data (FOSSD). Our first two mapping reports and a few data sets of sites suspected of containing documents can be found at https://en.tjwg.org/mapping-project-north-korea/. None about this event: https://talks.2019.foss4g.org/bucharest/talk/K7ZTHW/

Object detection and image segmentation have always been a big task in the field of geospatial sciences. With the growth of open satellite and aerial images, focus on this field is getting bigger and bigger. In the general computer vision field, there is one big term shaking the field in the last years - artificial neural networks. Artificial neural networks and especially their subtype called convolutional neural networks brought into the field of computer vision precisions which were just a few years ago still considered as not imaginable. We had decided to connect those two fields and test the use of artificial neural networks on satellite and aerial images. A suite of modules using convolutional neural networks was implemented into GRASS GIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8TET9M/

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/

QGIS Server has become a serious competitor in the realm of map engines for the web. Maps served by QGIS Server are designed in QGIS Desktop, and rendered by QGIS Server with the same rendering engine as QGIS Desktop. This makes it possible to leverage QGIS advanced styling capabilities, which, in itself, is a major advantage over its competitors. The QGIS community is serious at making QGIS Server production-grade. QGIS Server is now certified by the OGC, and CI processes have been set up for continuously assessing its OGC compliancy and performance. In production context an important aspect is the way QGIS Server is executed. There are many ways to execute QGIS Server. QGIS Server may be controlled by the Apache HTTP Server, or it may be run as an independent process in front of the NGINX HTTP Server. Some people use Docker, while others rely on more traditional systems. The way QGIS Server is executed and configured can have a major impact on the performance and robustness. After a quick introduction to QGIS Server this talk dives into the various ways of executing QGIS Server in production, discussing the pros and cons of each method. The talk is targetted to any person considering running QGIS Server in production. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LRYSAY/

A lot of public organisms, from governments to global funds are investing into more and better reproductive health care services in low income countries. This means measuring availability, quality but also accessibility of key services for the target populations. In particular, taking into account the population distribution and the travel time health systems users need to reach the nearest health center is key to identify challenges to access these services. We'll show how we got from a single question "How many women between 15 and 35 years old live more than one hour from maternal care" to getting and answer by combining availability, quality and geographical accessibility. We now further this work by building a routine computation platform to offer the most updated data to decision makers at any time. We'll share how the modeling and computing strategy evolves in low-availability and low-quality data environments. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9ZVHEY/

The GIS market evolves at a fast rate. OpenSource GIS solutions have a much stronger maturity now than a few years back. We see a global trend with big companies modernizing their IT and their GIS solutions, seriously evaluating OpenSource GIS compared to their former proprietary softwares, and launching migration plans. OpenSource solutions often come as independant components though, sometimes making it difficult to comprehend the best way to build a full-featured and coherent stack. While we do not pretend to have the best solution for all, in this presentation we detail a proposal for a full GIS infrastructure. PostGIS and QGIS at are the core of this stack, and it covers a wide range of needs for end-users : desktop, web, mobile… Come and realize that yes, you too can migrate to FOSS4G ! None about this event: https://talks.2019.foss4g.org/bucharest/talk/NZYXPN/

What are spatial reference systems and how to convert between them? What are various ways of creating transformation representation in Boost.Geometry and how to use them to convert between polygons on the surface of a globe and flat surface of a map? We discuss solutions to those questions highlighting some of the latest developments in Boost Geometry, the library that is currently being used to provide GIS support to MySQL. The implemented solutions allows to define transformations both in compile-time and run-time with known tradeoffs: execution time vs compilation time, run-time flexibility vs compile-time error reporting, etc. Last but not least we discuss similarities and differences between Boost.Geometry and Proj4 libraries. The presentation is example driven thus emphasizing on the user perspective. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CKB79H/

Indexed 3d Scene Layers (I3S), is an Open Geospatial Consortium (OGC) standard for streaming massive amounts of heterogeneously distributed geospatial data for an interactive experience for web, desktop, mobile and embedded clients. I3S supports storage and transmission of very large data consisting of millions of discrete 3D objects with attributes, integrated surface meshes and point cloud data covering vast geographic areas. Ability to stream millions of triangles and billions of point cloud, regardless of platform constraints, has opened a new 3D graphics and visual computing front in the geospatial world, where there is an increasing demand for high quality 3D application. In this talk, we will describe principles and concepts for organizing geospatial data based on bounding volume hierarchy (BVH), various spatial subdivision algorithms, efficient mesh representation, as well as exploring point cloud, mesh and texture compression/decompression techniques, while keeping the content friendly to GPUs. We will also demonstrate various examples of the different layer types and profiles that are supported in I3S. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TEMWSB/

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/

ZOO-Project is a WPS (Web Processing Service) platform which is implemented as an Open Source project and following the OGC standards, it was released under an MIT/X-11 style license and is currently in incubation at OSGeo. It provides a WPS compliant developer-friendly framework to easily create and chain WPS Web services. This presentation gives a brief overview of the platform and summarizes new capabilities and enhancement available in the new version. A brief summary of the Open Source project history with its direct link with FOSS4G will be presented. The new release comes up with a brand new R and HPC support, updated SAGA-GIS support and more other new features. The new functionalities and concepts available in the latest release will be presented and described, also highlight their interests for applications developers and users. Apart from that, various use of OSGeo software, such as GDAL, GEOS, PostGIS, pgRouting, GRASS, OTB, SAGA-GIS, as WPS services through the ZOO-Project will be presented. Then, the ongoing developments and future innovations will be explored. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NFT3JC/

Buenos Aires has a wide public transport network that includes more than 180 bus lines, 7 trains, 6 subway lines and 195 km of bicycle lanes that it offers to 4.5 million residents. and different alternative visitors when they travel. How I arrive (How I get there) is the official application developed for Capital federal (for the moment) that helps them move around the city in the most efficient way in public transport, automobile, bicycle, taxi or walking. It is available for Android and IOS and has more than 700,000 active users who do 1 million searches per week. It integrates real-time information on subways, trains and buses so that users know when the next transport will arrive and also the different rates to provide more transparent information and allow residents and visitors to make better decisions. The objectives for 2019 are to include predictions for all bus lines, currently only available for those who are already sensorized, to include the services of the Metropolitan Area and to open the code of the application to the community. In doing so, our goal is to promote replication in other cities, save resources, and improve it through civic collaboration, strengthen our services, make our government more transparent None about this event: https://talks.2019.foss4g.org/bucharest/talk/DAFRXE/

Roads are essential in our day to day activities. In developing countries especially in Africa, the road sub-sector accounts for over 80% of the total passenger traffic and 76% of freight leaving a small proportion to water, rail and air transport. For this reason, they need to be in their best condition to increase the productivity of the region. The maintenance of the road network in Kenya is handled by five different agencies all coordinated by the government. Ideally, the process involved requires the collection of data for selection and prioritization purposes but this is rarely done due to the associated costs. This research aims at providing decision support based on real-time data from different sources including Twitter reports in addition to the data received from the different mandated agencies ensuring a data-driven decision making process. This will further offer comprehensive condition-based decision support that goes beyond the time-based nature of the current process. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9SFEBD/

Imagine having a leading-edge application that manages Transportation Networks. Every aspect is user configurable and it can deal with any type of network. You can define multiple linear referencing methods (LRM) that can be network-type specific or across all your network types. You can also define any type of asset or event and the users can locate or retrieve the location of these features. Although the server-side "LRS engine" is going strong and getting more intelligent, the same cannot be said for the UI. Which it's a thick desktop client, on underlying technology you cannot control and looks dated. This was the situation Bentley found itself in, a while back. The way we solved it, which is the subject of this presentation, was using a mixture of open and closed source components. The UI was moved to the web and the communication mechanism was re-written. Using Oracle Mapbuilder, map definition files were created and dynamically fed to MapServer to render the maps which were then displayed through an OpenLayers interface. The end result, Assetwise ALIM LRS, is a living proof of the advantages of using this "best of breed" approach which benefits the end user from both a commercial and technical standpoint. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LYXPTN/

Check where and how vectors OpenData as OpenStreetMap, are accurate enough compared to an aerial or satellite Imagery, with Deep Learning approach. And do it at scale, with RoboSat.pink as a Semantic Segmentation toolbox. Quality Analysis and Change Detection with low resolution imagery, and Feature Extraction on higher ones. None about this event: https://talks.2019.foss4g.org/bucharest/talk/XCGKFC/

This talk will be about how to use OpenStreetMap and Wikidata in common data science questions using Python. We will go through the similarities and differences between OpenStreetMap and Wikidata, explore the structure of both data sets and go through some key figures and statistics. The goal is to provide a birds-eye perspective including a practical outlook. Some results will be presented in various ways the data sets could be utilized to fuel further data analysis. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FCRVWP/

The patterns of recent disasters in Korea such as typhoons, mountain fires and earthquakes are becoming increasingly complex and extensive. At the same time, there have been repeated problems with the government's ability of disaster response system. It is important to look at the disaster from a unified perspective in order to reduce the damage that will occur from the disaster and promote recovery. In addition, the integration of the disaster management agency's situation-specific work process and information is one of the important parts for rapid response to the situation and reduction of damages. However, as most of the information used to response with disasters is temporarily used, there is a lack of periodic updates or management systems. Therefore, the continuation and clarity of information up to the recovery stage are unclear, and no definite recovery is supported for the disaster affected areas. In this study, the implementation manual and history of the situation response to major national disasters in Korea are analyzed to identify problems in response to existing disaster situations. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SUFNPF/

Storing and distributing large data sets is still challenging. There are issues like corrupted files, bandwidth limitations or just unreliable networks. This talk is an introduction into peer-to-peer technologies and [IPFS]. You will learn how these technologies can help you with the previously mentioned problems and why it is a great fit for your geodata. Such a peer-to-peer network doesn't necessarily need to be a public one, everyone can participate in, it may also be used to distribute the data between trusted parties. Currently, there is a Go and a JavaScript implementation — that even runs in the Browser — of IPFS available. IPFS is fully open source and licensed under the MIT Licence (soon MIT+Apache2 dual licence). [IPFS]: https://ipfs.io/ None about this event: https://talks.2019.foss4g.org/bucharest/talk/QPKWUB/

All of you are OpenSource software users. While you know how the software runs, you may not know what is behind the mirror. Nowadays, most OpenSource software are written by employees of companies. There are plenty of organizational models for these companies. In this presentation we drop the mask and talk about the principles driving our own organization. As a matter of fact, we try as a company to have a strong coherency between what we do - OpenSource software - and how we do it. Transparency and asynchronicity for example are among the principles laying the basis for our day-to-day work. We are part of the Opensource community at large, and we have a very similar organization. During this talk, we explain the way we work, our motivations and and how a distributed team made of individuals joins forces to produce OpenSource software and try to have a positive impact on its environment. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KSUVQL/

Augmented Reality when connected persistently to the physical world through 1:1 scale 3d real-time updated digital twins allows us to create a shared programmable space or superverse that lets us paint the world with data and let our digital lives escape from the small glowing rectangles into the real world around us and experience it together. This technology has been named AR-Cloud. In October 2018 the Open AR Cloud association (OARC) was formed to brings people together to build an open AR-cloud ecosystem that works for everyone, everywhere on every device and every platform while respecting the right to privacy, freedom, and safety of all the users. On the 12th of February 2019 12 working groups is being formed to solve some of the hardest problems in spatial computing. The talk talks of the promise and peril of AR-cloud technology and OARC ongoing work to try and make this technology reach its potential to do good in the world. We think this is best done through open standards processes, open source, transparency and respect for the digital rights of individuals. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7VXKFE/

The GeoNetwork Opensource project has been an OSGeo project since a decade. It is a catalog application facilitating discovery of resources within any local, regional, national or global SDI. Users can register their spatial datasets, services, maps, sensors in a central catalog. Others can query the catalog to find resources via the website or directly from a GIS application, like GeoNode or QGIS. The catalog records can also be ingested by other catalogs and search engines to facilitate wider discovery. In this presentation the core developers introduce you to recent developments in the community. GeoNetwork adopted a twice-a-year lifecycle, so we’ve released the 3.6 and 3.8 version which had some interesting new features like metadata workflow, history, INSPIRE metadata guidelines 2.0, DOI, user searches, json and json-ld encodings, inline validation, WFS 2 and 19115-3:2018. Currently we’re in a major refactor to migrate the catalog to use ElasticSearch as a base search index for the 4.0 version. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TAZLUJ/

From the 80s, while the climate changes issue starts to rise interest, due to financial constraints and the advent of satellite era, monitoring networks begin to decline [1]. Remote sensing with its capability of global monitoring put on a side the direct observation that often requires high investments at local level for installation and maintenance. Nevertheless in-situ monitoring is essential for a large number of actions that requires continuous, long-term, high-frequency, and accurate data as well as to calibrate and validate remote sensing data. With the advent of IoT in situ monitoring is getting back the necessary attention and more people, also in the field of FOSS4G, are starting to work in this field. The IstSOS development team is working since the 2009 to bring in-situ monitoring back to the golden ages fostering the interoperability and the data management best practices. Several projects are here presented to demonstrate how istSOS, IoT and openness can contribute to this goal through a number of applications in the fields of agriculture (ENORASIS), water management (hydromMetTI, FREEWAT, TRESA), risk mitigation (SITGAP, MIARIA), health (ALBIS), development and cooperation (4ONSE). None about this event: https://talks.2019.foss4g.org/bucharest/talk/FKAQAD/

We will discuss the implementation of a full featured WPS service built upon the Qgis processing toolbox. From this, we will show how we can use the algorithms managed from the desktop Qgis directly on a serveur backend. Will we show use case from the context of a deforestation study that uses processing models to make projection of future deforestation states. The results of the model are then used from server side to expose maps and indicators to decision makers. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NQUTWS/

Most popular mapping presentations today, ranging from clients to servers, show and discuss only maps in web mercator, the popular Mercator derived projection used by OSM as well as most commercial tiles providers. There is however an interesting, exciting world of map projections out there, that are still being used in a variety of context. This presentation will introduce the advancement made in GeoTools and GeoServer to handle those use cases, where users have a worldwide data set, and need to view all or part of it in multiple projections, some of which valid in a limited area, and requiring the software to perform a proper display of it on the fly, without any preparation. We’ll discuss GeoTools/GeoServer “advanced projection handling” manages to deal with these cases, wrapping data, dealing with the poles and the dateline, cutting on the fly excess data, densifying on the fly long lines as needed to ensure a smooth reprojection, for a variety of cases, ranging from seemingly innocuous datum shifts, maps having the prime meridian over the pacific, and the various tricks to properly handle stereographic, transverse mercator, Lambert conic and other limited area projections against world wide source data sets. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DHDH7C/

In close collaboration with UNICEF Uganda and GeoGecko, KCCA spearheaded the development of an online open source portal to provide a visual presentation of key social services available in Kampala. The tool is built on the backbone of four pillars aimed at (i) identifying key partners’ operations and the nature of their engagement in Kampala, (ii) mapping infrastructure points designed to deliver predetermined services (e.g. schools), (iii) summarizing parish level specific socio-economic profiles, and ultimately (iv) offer insight into the lives of young Ugandan adolescent girls accessing such service in Uganda’s capital city. The tool is built with Open Source tools and can therefore easily be adopted to other projects, regions and be implemented in another context. During this presentation we will (i) walk through the portal and explain how it is created, (ii) describe how it is currently used, and most importantly (iii) discuss how it can be improved and adapted to other sectors at scale. None about this event: https://talks.2019.foss4g.org/bucharest/talk/EFBK9U/

How to compute the two closest points between two administrative units in a city and how this differs from distance computation? What happens when some points are on opposite/antipodal sides of the globe? How can one create equidistant points along a trajectory modelled by line segments? We discuss solutions to those questions highlighting some of the latest developments in Boost Geometry, the library that is currently being used to provide GIS support to MySQL. The implemented algorithms are parameterized by strategies that control the accuracy-efficiency trade-off. The proposed solutions work for 3 different coordinate systems (namely, cartesian, spherical and ellipsoidal) each of which comes with its own advantages and limitations. Those are illustrated and supported by benchmarks. The presentation is example driven thus emphasizing on the user perspective while glancing at the algorithmic and implementation aspects of the library. None about this event: https://talks.2019.foss4g.org/bucharest/talk/C3YXL8/

The video has no audio for the first 4 minutes. We are sorry for that! Compared to other industrialised countries Germany [ranks rather low](https://de.statista.com/infografik/3553/anteil-von-glasfaseranschluessen-in-ausgewaehlten-laendern/) when it comes to the availability of broadband internet via fibre. In order to change this and to cope with the needs for the new mobile standard 5G, Deutsche Telekom AG (DTAG) revolutionised the planning of fibre networks. The main goal is to shorten the time to market dramatically by automating processes. A brand-new world comprising lots of geodata and heavy geoprocessing is needed to substitute previous manual tasks. The newly developed SDI shall respond to criteria, such as: * Best of breed software * Flexibility and adaptability * Deployability via automated pipelines as well as scalability * Sustaining a pluridisciplinary team working in an agile environment (SCRUM and SAFe) * Security DTAG selected open source components such as geOrchestra, SHOGun and Actinia to be deployed on a docker orchestration system. A large team of open source contributors were brought together to enable the launch of this major SDI. This talk will present how FOSS4G components and teams can be effectively bundled together in order to achieve industry specific goals. None about this event: https://talks.2019.foss4g.org/bucharest/talk/UBXJR3/

Open geospatial is an amazing journey. Join GeoCat in a look at what makes this community great, and the new opportunities for open source to thrive. We also have an important project announcement to share. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RGUPRH/

# Building a geo marketing tool with open source geospatial software We want to tell about the journey we undertook to build a geo marketing platform using open source geospatial software. The platform is also powered using open data. We used Postgis, Open Layers, QGis, Geo Server and many more. We want to show how business value can be generated using open source software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/Z8X8S7/

Semantic 3D city models are one of the cornerstones of the so-called "smart city" applications, yet they are very difficult to manipulate/edit/update. While they are relatively easy to generate, their use and maintenance is limited by the available software and the cumbersome data model. Have you ever tried to write a CityGML file? And to parse one? We did, and we didn't like it. Therefore we created a developer-friendly JSON implementation of the CityGML data model. This talk will introduce *CityJSON* and its processing software *cjio*, which can be used as a CLI to chain operations, or its API can be used to generate features for machine learning. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CXAACL/

Content of the European Association of Remote Sensing Companies: 1. About EARSC 2. The Value in Earth Observations 3. Supporting Businesses - The “Research to Business” Solution 4. Open Source Initiative 5. EARSC in the Region None about this event: https://talks.2019.foss4g.org/bucharest/talk/SLNK39/

Having worked with geospatial technology in the insurance industry since 2003 I had my eyes opened to open source at FOSS4G 2013 in Nottingham. I came away excited and energised by what I had seen and it planted the idea for how we could do things differently. 2 years later I quit my day job as a contract solutions architect and took a big pay cut to create Addresscloud, our aim to tackle the complex geocoding challenges faced by UK/I insurers. 3 years on we have gone from strength to strength and are now a profitable, rapidly growing business with a portfolio of customers from startups to FTSE 100 companies. In this talk I will discuss our journey, challenges along the way and our lessons learned. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZLVQDG/

BruGIS® is a cartographic tool developed by a public interest organization (Urban.brussels) and used for the management and planning of the territory in the Brussels Capital Region. BruGIS Data Management is a QGIS client to update spatial data published on the BruGIS platform. Implemented with Open Source technologies (QGIS, GeoServer, Django, Python, etc.) it provides a centralized, uniform and exclusive way to edit spatial data online. After a short overview of the architecture, we’ll focus on the demo of QGIS client using 2 plugins (admin and user). We’ll be able to create a new user and assign him editing rights on a layer. Then edit the layer allowed, modify, validate (topological) and finally submit it. Lastly, we’ll publish the modified and validated layer. The path of the modified table will be followed through the DB environment of BruGIS. The organization of data synchronization through the three environments (production, staging, diffusion) will be briefly addressed. The purpose of this demonstration is not to go into the technical details of the production flow but rather to exemplify the use of Open Source technologies within the framework of the daily management of the urban data in a public administration. None about this event: https://talks.2019.foss4g.org/bucharest/talk/T7QHTA/

Marinus of Tyre's and Mercator's are by far the most popular projections used today in the Earth Sciences. However, they expand the surface area of the Earth respectively by 50% and 200%, imposing serious overheads in data storage, and more importantly, computation costs. While an equal-area projection is the evident solution, those supported by FOSS4G are scant; a choice is not straightforward. ISRIC, the World Data Centre for Soils, creates and serves global high resolution maps of continuous estimates of soil properties and soil classes. ISRIC had until recently created its products in the millinery projection of Marinus of Tyre, but in face of ramping computation costs, it initiated a process to adopt an equal-area projection. After carefully benchmarking various candidates, the option rested on the Homolosine, a modern projection developed by J.P. Goode that is supported both by PROJ and GDAL. This address details the advantages of the Homolosine projection over other FOSS4G supported equal-area projections. It also highlights the limitations of FOSS4G in working with the Homolosine and the strategies to overcome them.  None about this event: https://talks.2019.foss4g.org/bucharest/talk/QXFDXE/

QWC2 is a responsive web mapping client optimized for publishing maps with QGIS Server. A modular architecute based on micro services (running as Docker containers or WSGI modules) allows scaling from basic setups up to highly customized service environments. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NBMQLT/

Having an enormous amount of data available can be difficult to handle. At EOX among other things we create global satellite basemaps (https://s2maps.eu), therefore we understand that saving resources increases reliability of any tool, product or data. While working on the basemaps we found out we can derive new products for our customers: multispectral cloud free mosaics (https://cloudless.eox.at). Usually, a user is confronted with a large number of single scenes or products with varying degrees of quality and cloud coverage. To make this first step of using EO data easier a good extraction method and data bundling becomes more and more important to make it easier to access Earth observation data without having to dig through the archives. Such dissemination options allow everyone to easily access large datasets which are reduced and prepared for instant analysis, machine learning, validation, etc. There are some guidelines which try to define analysis ready data (ARD), however with no clear definition at hand. We are utilizing the experience we have gathered while working closely with our customers. These range from scientists, industry and various national agencies. Every single one of these have their own specifications and None about this event: https://talks.2019.foss4g.org/bucharest/talk/PAF9UH/

Colombia is facing a huge challenge to formalize land tenure in an efficient, massive and decentralized manner. The Swiss cooperation provides all different actors with a common conceptual and technical framework. On the one hand, a Colombian profile [1] of the LADM (ISO:19152) was built, constituting the core of a Spatial Data Infrastructure for Land Administration (IDE-AT). On the other hand, the INTERLIS language [2] guarantees interoperability for data formats and systems and is the basis of a free software ecosystem around the project: QField [3] offers automatically generated forms to capture both geographic and alphanumeric data, as well as their associated documents. In the office, operators use a QGIS plugin called “LADM_COL Assistant” [4] to migrate and structure field data into a LADM-COL database. The same tool is employed by cadastral authorities to receive, validate (both topologically and logically), review and integrate the data incorporating changes into official systems. Finally, the new data is disposed in the IDE-AT to all actors of land administration. The project not only develops new software, but also contributes code to base projects such as ili2db [5], QGIS Model Baker [6] and QGIS [7] itself. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YDA9UP/

Using Open Street Mapping to map Incidence of Malaria among Vulnerable People of Luano District, central Zambia This is a Research project for the YouthMappers. This study investigates the incidence of malaria among the vulnerable people living in a remote area of Zambia. Since the area is prone to flooding, the incidence of malaria is very high. The study will use ODK a mobile based data application to collect data and QGIS to analyze the data. The study is important because the data that will be collected will be useful to the Ministry of Health and other organizations that have interest in community health and human security. The all research project is based on the open street map. This Research has 3 focusing objectives as follows’ (a) Map the incidence of malaria in Luano district using Open Street Mapping techniques. (b) Determining the burden of malaria epidemics in the area. (c) Determine the impact of the incidence of malaria on the socio-economic wellbeing of the people in the area. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DQP7QK/

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/

After 35 years of of continuous development, [GRASS GIS](https://grass.osgeo.org/) comes again with great improvements. Being a community-driven project, it offers geospatial analysis, earth observation, time series processing and visualization. It supports large raster files (billions of cells), vector topology, and coupling with SQL databases. In our presentation we'll give an overview of the latest improvements. The algorithms for interpolation, solar radiation, water flow, and sediment transport have been parallelized. Experimental features include concave hull, vector algebra, point cloud import, DEM fusion and blending, object-based classification, Sentinel data processing, and spatio-temporal algebra. Furthermore, pest spread and urban growth modeling are now available. Importantly, Python 3 support has been added. Raster storage now benefits from new ZSTD compression. GRASS GIS supports GDAL up to v2.5 and PROJ up to v6. Easy cloud deployment is offered with ready-to-use docker images and an improved test coverage along with continuous integration. The code development will move to GitHub, including the issues and source code branches since 1987. A new, modern website is on the way, supported by a crowdfunding campaign. None about this event: https://talks.2019.foss4g.org/bucharest/talk/W3LWDV/

The coordination of increasingly faster development of geospatial Free and Open Source Software and more longer term oriented standards presents some challenges which have been identified and taken up by key organizations of the domain. OGC and OSGeo have a long history of cooperation, since many years we work together through a Memorandum of Understanding, which amongst other aspects provides OSGeo to a certain extend access to the OGC standards development process. The cooperation is meant to bring in requirements, ideas and expertise from the OSGeo community to the OGC programs and processes and provides the OSGeo community with an insight into the current developments of open standards. The Overview presentation will provide a short insight into the OGC programs and processes and will explain the idea and development approaches for the OGC baseline. It will also talk about the results of various hackathons (OGC API hackathon) and Innovation Program initiatives (e.g. EO Big Data Architecture) that will happen in June and July. It will furthermore give an update on the Future Directions technology trends mapping of OGC and how the OSGeo community can be part of it. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZPFATH/

Big Geo Data (BGD) constitute a challenge for monitoring and assessing the status of and changes in the natural and in the built environment where most of the people live. Nevertheless, to convert BGD into value, we need to fill the gap existing between the current form in which BGD are represented, which conveys information understandable to scientists and experts, and the needs of not experts, decision and policy makers who could exploit information derived of BGD if adequately summarised and explicitly visualised. To this end, new methods are needed for the discovery of the relevant geodata among huge repositories, the assessment of the geodata quality, and, finally, the synthesis of BGD to provide decision makers with consistent and comprehensible information to possibly discover hidden knowledge. Within the project “URBAN GEOmatics for Bulk data Generation, Data Assessment and Technology Awareness (URBAN GEO BIG DATA)” we are experimenting the definition and application of novel technological solutions for fostering the fruiting and synthesis of BGD by public administrators and the citizens of urban areas. Specifically, the project aims to improve the knowledge of urban areas by exploiting the fruition of the vast availability of EO data sources for soil consumption and long-term monitoring, and IoT data on mobility. A key aspect concerns the definition and implementation of novel methods for geo data dissemination through the application and extension of standard interoperable sharing protocols. In this paper, we focus on the experiments aimed at fostering the fruition of ground deformation time series derived through the Differential SAR Interferometry (DInSAR) measurements, in urban areas (i.e., Naples and Milan city areas). In particular, the Small BAseline Subset (SBAS) technique has been applied to generate DInSAR BGD displacement time series which can be served directly by applying OGC WMS and WFS requests, but the results achieved can be hardly interpretable by non-expert decision makers. To empower their potential fruition, we defined and implemented an automatic mechanism aimed at generating a qualitative visual temporal animation of the BGD time series of deformation synthetized by snapshot maps, generated with a reduced spatial and temporal resolution. They can be helpful for a non-expert to visually identifying at a glance the areas subject to deformations, without spending much of time analysing the single deformation time series. Useful knowledge is the mean deformation velocity map of the analysed areas. However, to follow the time evolution of the deformation, we have selected merely one single measurement per year. This is only a qualitative method for helping non-experts in identifying areas with large deformations. The paper will focus on this aspect describing its implementation details and characteristics. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3BRATM/

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/

Training spatio-temporal OSM-indicators based on the resilience core from Cutter (2016) and exploring the implications for urban planning in the light of revealed thematic tags in the region of Stuttgart. “Nobody on this planet is going to be untouched by the impacts of climate change” Rayendra Pachauri (2014) The overarching nature of building resilience across disciplines and its inherent positive mutual understanding due to the association with the immune system, also amongst the non-scientific community, makes it an attractive and increasing popular concept which everybody seems able to grasp its necessity. Hence there is an exponential increase, even limited down to the key words “urban resilience”, in scientific literature over the last decade. Moreover the concept is also taken up by the New Urban Agenda – Habitat III, the SDG goals and also the IPCC. Hand in hand with this development the definitions and operationalizations are innumerable and starting to lay a smoke screen above it. Conjoined, there is a clear lack of validation of resilience measures, including spatio-temporal aspects but also of the single component of it (Bakkensen 2017). Moreover, traditional data sources like census or governmental data miss out on certain important facets making empirical validation impossible and lack the spatio-temporal resolution necessary to cover the characteristics of resilience (Burton 2014). Hence, this experimental study explores and develops new spatial indicators through machine learning methods derived from OpenStreetMap data to replicate conventional core indicators. In order to cover all spatial attributes indicators for points, lines and areas will be deduced and separately as well as in a combined analysis investigated by means of supervised and unsupervised algorithms. The outcome is expected to uncover hidden spatial relations and patterns of urban resilience. Moreover, Burton (2014) stresses the need for new data sources to better understand the multifaceted phenomena of urban resilience. Therefore this study is contributing in developing robust and reliable socio-economic indicators contributing to this challenge to clear up the smoke. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DE77KF/

Developing learning crowed based spatio-temporal indicators to model the components of the WorldRiskIndex based on OSM tags and machine learning Climate change is already reality in many parts of the world and even more threatening our future well-being. The SDG 1.5 explicitly aims to reduce by 2030 the vulnerability and exposure to climate related hazards. The World Risk Index (WRI) is one well-respected approach in profiling countries risk to natural hazard. To effectively monitor development and detect decision knots on the climate resilience pathway (IPCC 2014) data of high resolution in space and time about the worlds countries is of urgent importance. Hence, the core of this work is the development of learning indicators. Learning in the sense of a methodological approach combining PostGIS for data management, R for statistical learning and QGIS for spatial analysis on crowd based information assessing the OSM-database and addressing the need of societal learning in the face of severe climate change. The World Risk Index (Birkmann et al. 2015) will guide the supervised learning part resulting in an indicator set derived from OSM tags, establishing on one hand an open risk index and adding deep explanatory power to its components by a qualitative discussion of the OSM themes. The second part explores with unsupervised algorithms the inherent characteristic of country groups classified by the open risk index and deduces common patterns of socio-economic vulnerability but also societal resilience. Hence, the inherent challenge of this work is to substitute existing static indicators with new dynamic indicators, but not only substituting them but also painting a more detailed picture. Moreover, new data sources still questioned often by their reliability compared to World Bank or census data, and therefore its opportunities are neglected instead of critically exploring the potential. Therefore, this thorough statistical approach in quantifying uncertainty contributes to the acceptance and hence use of crowd based information adding necessary reliability for policy and planning. This unique combination is not yet done and bares huge potential moreover united with the open source geo community to contribute a little piece of the puzzle for achieving the SDG 1.5. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MGKS9N/