Chaos Computer Club - archive feed

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/

The role of urban designers is to shape the physical features of a city with the goal of making the city functional and pleasant to live in. For this, the urban designer has to gather information about the current situation, design improvements, and communicate these to stakeholders. The use of space and the spatial relationships between physical features play a significant role in urban design, therefore much of the information that is collected and manipulated is georeferenced. In this paper we review and evaluate open source geospatial technologies that can be used for the collection, storage, manipulation and visualization of geospatial data in urban design projects. Based on this, an open geospatial toolbox for urban design projects is presented. We followed a scenario-based approach for collecting the requirements. Three researchers were asked to explain how they collect and use data for their urban design projects. Their backgrounds were in spatial planning and architecture. The first scenario involves an urban designer who is requested to guide and advise the local municipality on improvements in a neighborhood that has become dilapidated over time, and therefore unsafe. In the second scenario, the aim was to identify crime hotspots in a neighborhood and to propose preventative crime measures through environmental design. By analyzing the scenarios, we determined both functional and non-functional requirements, and categorized them into requirements related to data collection, data storage and management, and data visualisation respectively. A set of open source geospatial technologies were evaluated against these requirements. Tools were evaluated against requirements relevant to a category, e.g. for data storage and management, the user should be able to upload geospatial data, upload newer versions of the data, create and edit metadata about the data, and share the data in various formats using web services. Furthermore, the evaluation results show how tools meet individual requirements, i.e. tools that meet only one of several requirements were not excluded. The resulting open geospatial toolbox is modular, allowing urban designers to swap out a tool in a category for another one in that category, or swap out a tool that meets one requirement for another tool that meets that requirement. Each of the evaluated tools fulfilled the functional requirements to some degree; the real difference emerged from the non-functional requirements, such as perceived usability for novice users and documentation or support available. The results in this paper are based on requirements of urban designers, but are equally applicable for others who collect data at the neighbourhood level. Future work will focus on aspects of provenance for preserving and making data collected for urban design studies available for longitudinal studies. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BXLBUU/

Complex alphanumeric information originating from heterogeneous sources (e.g. administrative procedures, cadastre/registry, environmental measures…) are relevant both as search keys of elements on maps and as essential knowledge layers. Regione Piemonte project addresses the need of integrating geo-alphanumeric search and view capabilities in a single tool. Beside standard geoportal functionalities, the tool supports users to: search datasets available in one or more SDI (CSW), enabling functions customized on each dataset served in WFS 2.0 Complex-Feature, such as: Query builder (alphanumeric/spatial); Result list (report and selection on map) → download (csv, shp); Detail form → download (pdf). SIRA is completely OS: PostGIS; GeoServer with App-schema; HALE; Mapstore 2 (Web Client). The framework has been applied in the environmental field, to improve the dissemination of data on pressures and vulnerable targets collected by SIRA (Piedmont Region Environmental Information System) and recently reused also in Croatia, with the main objective to transmit knowledge on prevention and control of industrial accidents, Twinning project HR 14 IB EN 02, creating the BIFISIC tool (Better Information For Industrial Safety In Croatia). None about this event: https://talks.2019.foss4g.org/bucharest/talk/FNV7VL/

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

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

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

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

The new Forest Inventory ESTimation and Analysis system (nFIESTA) is an open-source PostgreSQL extension capable to produce estimates of target parameters describing the condition of forests and its development. The specificity of the nFIESTA estimation system is that it allows for an analysis of large datasets sourced by National Forest Inventories (NFIs) of many (not only European) countries. Such an integrated database contains sample plot data that use to be collected following a number of different sampling and survey designs, with spatial distribution and timing that vary from country to country. Using such a system the estimates of forest and landscape parameters can be obtained at a level of detail starting from a relatively small areas - as small as several hundreds of sq. kilometers. From the temporal point of view, the current implementation supports estimations for periods of one calendar year or longer. The system was designed and developed so it can use various sources of auxiliary information (typically GIS maps produced by remote sensing methods). The SW has been developed as part of the Diabolo project (http://diabolo-project.eu/) funded by the European Union’s Horizon 2020 research and innovation programme. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8RBRUR/

GEO 101 is a gentle introduction to all activities and developments of the Group on Earth Observations. The GEO Global Water Sustainability Initiative (GEOGLOWS) changes the paradigm for how streamflow information is created and disseminated. Traditionally, each water organization was required to have the expensive infrastructure and capacity to access large global datasets and develop their own models to forecast streamflow useful for decision-makers. Using the GEOGLOWS global streamflow services they no longer have to have their own internal infrastructure for modeling, but instead can access the streamflow forecasts through web services and use them according to their own prioritized needs. This freely provided streamflow information, which leverages the hydrometeorological computational expertise of the GEOGLOWS Partnership, saves millions of dollars and allows national and local agencies to use precious resources for developing solutions and applications specific to their local water resources management needs. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FW9NWX/

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

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/

Parliamentary elections were held in Finland in April 2019 and to better visualize the results, I went on a quest to generate polygons for each of the 1937 voting districts. Voting district polygons are not open data except for few major cities, but address points for buildings are open data in Finland and they also have information about which voting district each address belongs to. The talk aims to give examples and tips of how to work with bigger datasets with OSGeo tools and how to deal with errors and uncertainties in your data analysis. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KXWQEV/

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/

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/

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/

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/

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/

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/

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/

<p>How can interactive maps help people plan great travel experiences? Destination travel is a popular way to experience the world for millions of people. Until now, little research has been conducted to establish what this type of user might actually need in a map-centric application. Most current approaches do not emphasize the role of space and place in travel preparation to help users understand the spatial dimensions of their travel plans. In addition, most of the available trip planning systems are proprietary in nature. Our work seeks to develop an application that goes beyond providing support for simple itinerary creation. We present results from a user survey to assess key spatially-supported travel task needs and design preferences. This data helps characterize the core functional needs for a FOSS web-GIS application and accompanying user interface designed specifically for destination travelers. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/RHRGJE/

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/

[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/

# 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/

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/

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/

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/

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/

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/

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/

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/

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/

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/

EnviDat is the institutional data portal and publication data repository of the Swiss Federal Research Institute WSL. EnviDat actively implements the FAIR (Findability, Accessibility, Interoperability and Reusability) principles and provides a range of services in the area of research data management that were extensively described in [Iosifescu et al. (2018a)](https://doi.org/10.5334/dsj-2018-028). We continuously improve various aspects of open science support in EnviDat, including implementation of Jupyter Notebooks as documented in [Iosifescu et al. (2018b)](https://doi.org/10.7287/peerj.preprints.27211), thus improving the current situation defined by a “replication crisis”. In [Iosifescu et al. (2015)](http://hdl.handle.net/2263/49954) we have presented several reasons for the increasing adoption of FOSS4G (free and open source software for geoinformatics) in academic research: not only the total cost of ownership, but also the growing stability and maturity of the recent open source software packages, the faster bug-fixing turnover, the increasing availability of professional support, and the flexibility to change and repurpose the open software to tackle new research challenges, among others. These reasons are still valid today, and consequently EnviDat trusts PostgreSQL/PostGIS and Apache Solr with the management of its spatial meta(data). In this contribution, we discuss two novel drivers for the adoption of FOSS(4G) in environmental research: open science and reproducibility. Independent research replication at peer-review is facilitated by the immediate availability of the free and open source software, the absence of software licensing issues and the openness of the code even for older versions of a software. Moreover, researchers producing their own FOSS code can expect a wider distribution of the produced software. In EnviDat, open science support is supported by the combined publication of bundles of datasets and software as for example [Fraefel (2018)](https://doi.org/10.16904/envidat.49) or purely FOSS4G software as for example [Bont (2018)]( https://doi.org/10.16904/envidat.software.1). While Fraefel shows how scientists can complement data publication with additional analysis workflows, the work of Bont demonstrates the opening of a methodology for optimizing the geometric layout cable roads and makes it available for everyone as a plugin for QGIS. In conclusion, supporting reproducibility of research in a portal such as EnviDat is a complex issue that can be simplified by the adoption of FOSS(4G). We would like to stress that reproducibility in science also consists of the transparency of methods and the precise documentation of all steps needed to achieve the published results. In these processes, open source software can play a key role. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZV8QNK/

As part of the Open DFCI project: Geographic Information Portal for the Defense of Forests Against Fires, the Entente Valabre for the Mediterranean forest wished to put in place a solution of offline viewing and editing geographic information. We will presents the context: OpenDFCI web portal based on Lizmap, the firemen needs, the Geoppopy choice: Raspberry Pi Standalone WebGIS Server, and the realisation. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8QMRMK/

With the increase of sensor capabilities and popularity of unmanned aircraft systems (UAS) there has been an increase in the detail and types of digital elevation models (DEMs) that can be produced. With these improved products and their 3D characteristics, more can be derived from their analysis including the detection and location of important changes over time. The analysis between two temporally different DEMs, digital terrain models (DTMs) or digital simulations models (DSMs) can indicate important factors such as erosion, structural damage, or deforestation. The talk will discuss a project that focuses on the suitability of creating a plugin for QGIS to automate the process of performing 3D change detection with these data types. It is expected that the need for an intuitive and automated process for this type of analysis will only increase with the feasibility of DEM generation and collection with new software and UAS popularity. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3WTHJE/

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/

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/

Identifying the correct location of channel heads remains a challenging aspect in hydrogeomorphic analysis. Though field mapping is a reliable method, this may become infeasible for large basins. High resolution remote sensing data provides another way to predict channel heads. Existing literatures have suggested use of digital elevation models (DEM) to extract channel heads by applying an area or slope-area thresholding method. However, channel initiation process is more complex and depends on other factors like topographic curvature, land use land cover etc. In this study, we have used machine learning models to extract channel heads from freely available 1 arc second SRTM DEM data for a basin in the Lesser Himalaya. We have used upstream area, local slope and local curvature as features in our models. Actual channel heads were digitized manually from high-resolution (1-2 m) IKONOS imagery available on Google Earth. Decision tree model generated the best results with a F1-score of 0.45 and correctly predicted around 78% of the channel heads from the test set along with a high number of false positives. Future work will be applying this method on available high-resolution Lidar-derived DEM, with more field-mapped channel heads. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PHGFLQ/

vts-mapproxy is an open-source, C++ based, high-performance 3D geospatial data streaming server. Features include dynamic TIN generation from GDAL-supported DEMs, CesiumJS terrain provisioning, WMTS tiles with on-the-fly CS conversion etc. Though Mapproxy has been developed as part of vts-geospatial, it may be deployed on its own or even in hybrid operational architectures. In this talk, we are going to walk you through the common deployment scenarios, provide a hands-on demonstration of server configuration, and bring you up to speed with this little-known tool. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DTXH7Y/

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/

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/

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/

Ushahidi designers have been investigating what makes communities strong, resilient and what empowers them to feel like they are an integral and valued part of a whole. Building on a research led hypothesis, that more communicative and integrated communities fair better and recover faster when disasters like hurricanes, floods and terrorist attacks hit, we are building upon this statement from users: “We want to help people in a crisis and be helped back from our own” Now the Ushahidi product design team are finding a way to foster connections between people to help each other in little ways using technology and innovative processes like Machine learning, automatic systems and digital social trust, then we believe that we can create more of these resilient communities world wide. We’ll cover our recent in-depth field study in Nairobi communities and our wider community research worldwide. From Government services, Ambulance and Police to lesser known organisations like urban search and rescue (USR), SARAID, Team Rubicon and The Red Cross and then on to the communities of regular people that are supported b services and organisations and how they participate in the safety and growth of their communities None about this event: https://talks.2019.foss4g.org/bucharest/talk/B8D779/

On a judicial basis of § 196 Baugesetzbuch (BauGB, 2018) every municipality in the Republic of Germany must publish standard land values in €/m² for the whole district area in a biennial cycle. The standard land values have to be derived comprehensively for different land use within a district. These are mainly residential areas, mixed-use zones (residential and commercial areas), industrial areas, cropland, grassland and forestry. The standard land values serve the taxation authorities to rate the hereditary real estate and also will play a major role for the future property tax (Löhr, 2018). With the help of Geographic Information Systems (GIS) all the necessary data for the derivation of the standard land values could be analyzed. This data consists of cadastral information (ALKIS) (AdV, 2005) for each municipality district like streets, buildings, land parcels, land development plans as well as geocoded data (Bill, 2016) about real estate transactions. According to the INSPIRE (Infrastructure for Spatial Information in Europe) directive (European Parliament, 2007) which aims to create a European spatial data infrastructure for a transparent common environmental policy the geodata representing the standard land values will be provided in the Web with services to query, visualize and download the datasets. The following work contributes to both requirements, the statutory determination of the standard land values answering the lawful necessity and the setting up of the generated geodata in the Web according to the demanded transparency of the INSPIRE directive. This thesis describes the development of automatizing the process of implementing, selecting, aggregating and layouting the relevant objects of the ALKIS data in an Open Source GIS (QGIS) via Python language. The standard land values will be visualized and presented in Web GIS (Seip et al, 2017). Therefore three different Web Clients will be compared according to performance and editing capabilities: QGIS Web Client (Open Source), Lizmap (Open Source) and ArcGIS Online (commercial). Additionally the two different Web GIS server solutions, QGIS Server and ArcGIS Online, will be described and evaluated. None about this event: https://talks.2019.foss4g.org/bucharest/talk/33E8GR/

A global 3D map works with data from various sources: DEMs, orthomosaics, vectors or even 3D city models. The data is acquired by diverse sensors and processing techniques and varies vastly in resolution and geospatial coverage. Need for partial updates may arise as more recent or higher resolution data becomes available. Integrating all this data into a single, meaningful cartographic or VR product gives rise to the data fusion problem on an ever growing scale. VTS geospatial software stack provides a simple yet powerful way to tackle common 3D data fusion scenarios. In this talk, we will provide a hands-on demonstration. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7PMPPG/

Community mapping efforts in Dar Es Salaam are enabling local leaders to leverage information about the most granular level of community administration that exists in Tanzania. Originally intended to demarcate 10 households (ten-cell boundaries), these "shina" boundaries now encompass hundreds of households in informal settlements and are already being used by one of Dar's largest hospitals to track patients' origins at an unprecedented resolution. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NHW3BM/

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/

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/

After 05:00 the audio from the speaker is masked by audio from the video that is playing. In the early ages of Computer Science, there was only Command Line Interface (CLI). No mouse, no windows. But computers was already able to do more than just calculus. First of this kind -- in the early eighties ! -- GRASS GIS was able to manipulate, analyze and visualize geospatial data. All in CLI. But it was frightening for most users. CLI is terrifying. Then graphical interfaces arrived with windows and mouses. Computers started to be cheaper and more affordable. Almost everyone now can own and use a computer. With a graphical interface. Less scary, more accessible. And GIS followed the trend. ESRI created ArcMap, QGIS was born. Even GRASS GIS got a Graphical User Interface at some point. But isn't CLI making a come back ? Quietly ? Even in our small geospatial heaven ? Let's have a look at behind the curtain and see what CLI can offer nowadays with the Python and R datascience stacks. Let's look at CLI GIS, right in the eye ! By the end of the talk audience members will : * not be afraid of CLI anymore (let's hope) * might want to learn a scripting language and explore console mode * want to combine best of both worlds None about this event: https://talks.2019.foss4g.org/bucharest/talk/DKL3EW/

There has been an explosion of research into computer vision focused on deep learning. These significant advances in image classification, object detection and image segmentation have profound implications for foundational mapping applications. Recent open source initiatives such as SpaceNet have strived to direct more research and development towards remote sensing applications. GIS practitioners need to understand and engage the research community to help structure the application of these new techniques against geospatial problems. tt is difficult translate mission requirements to machine learning evaluation metrics, and vice versa. For example, in the computer vision community, most results are described by certain image specific metrics such as mAP, F1Score, Precision and Recall. Alternatively, a GIS practitioner may want to incorporate machine learning capabilities into their workflow, but not know what level of performance is necessary for the specific mission. We will discuss a framework for defining levels of practitioners augmentation that will allow end-user groups and machine learning researchers to better understand each other and help direct the application of these advanced algorithms against geospatial problems. None about this event: https://talks.2019.foss4g.org/bucharest/talk/N8R8UX/