Chaos Computer Club - archive feed

In the Sahel, the survival of pastoral and transhumant communities depends directly on the access to water and pasture for their livestock. The availability of these resources is mostly influenced by the erratic rainfall conditions that characterize the Sahelian climate. To reduce the vulnerability to critical events, pastoral communities need access to reliable information on pasture, water, climate, animals’ concentration and disease outbreaks. As they live and move in areas with poor to no internet connection, Action Against Hunger (ACF) developed a system where data is collected from herders using a Telerivet SMS gateway and stored in a cloud environment. An automated script then geocodes the responses and creates a shapefile for each survey, ready to be plugged into QGIS for analysis. Currently 109 focal point nomadic herdsmen are spread over 4 Sahelian countries (Mali, Burkina Faso, Senegal and Niger) to collect and inform more than 18 core indicators on the pastoral situation. Cartographic data is then published on a public and open source web platform and transmitted to herders through radio broadcasts. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NGUFND/

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/

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/

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/

GIS systems and ICT technologies are often at odds with each other for historical reasons. GIS software has developed in niches, predominantly through monolithic and proprietary systems. The growing need to expose geodata on the web, e.g. sparked through open data policies, leaves developers with a range of options. Clients may request server-side solutions such as OGC services such as Web Map Service, Web Feature Service and the likes. These solutions require a map server. Another option for instance is a direct database query that requests relational data through PHP. Since almost all big database management systems are spatially enabled today (Oracle Spatial, MS SQL Server, PostgreSQL/PostGIS, MySQL) there is per se no need to implement a map server at all. A third option is to use web clients’ native data formats such as JSON/GEOJSON. This may either be requested by a REST API, a JSON-capable DB (e.g. MongoDB) or through flat files. Which of these options serves my purposes best? This very much depends on the advantages of each of these choices and what your infrastructure is trying to achieve. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SNVCAH/

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/

After initial deployment of Croatian SGA Geoportal, it made a great impact on the usage of GIS viewer and OGC web services in the country. After a few thoushands registered users, it's time to analyze who is using it and how much. Also, there was a need for the administrators to be able to have reported on usage, and to deal with users and groups authorization roles. We achieved this with the combination of proven solutions such as GeoServer, Geofence and custom code. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PTFHWJ/

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/

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/

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/

Geopaparazzi is an application for field surveys and digital field mapping for Android devices. Its simplicity and the possibility to use on as good as any Android device makes it a trusty field companion for engineers and geologists, but also for tourists who wish to keep a geodiary and any user that needs to be aware of his position even in offline mode. In Geopaparazzi it is possible to take notes with text, pictures and sketches and place them on the map. Notes can also be complex and form based in order to standardize surveys in which many people need to be coordinated. Recently we started the development of the Geopaparazzi Survey Server (GSS), a web application that allows geopaparazzi users to synchronize their projects data with a central server, together with its companion, an Android app named Geopaparazzi Survey Server Sync (GSSS) available on google play to synchronize the data of the Geopaparazzi projects to the server. The presentation will show the main features of Geopaparazzi, the tools available in gvSIG, the Geopaparazzi Survey Server, the Geopaparazzi Survey Server Sync and some examples of customization of the application for different use cases. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NQMFQU/

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/

OSGeoLive is a self-contained bootable DVD, USB thumb drive or Virtual Machine based on Lubuntu, that allows you to try a wide variety of open source geospatial software without installing anything. It is composed entirely of free software, allowing it to be freely distributed, duplicated and passed around. It provides pre-configured applications for a range of geospatial use cases, including storage, publishing, viewing, analysis and manipulation of data. It also contains sample datasets and documentation. OSGeoLive is an OSGeo project used in several workshops at FOSS4Gs around the world. OSGeoLive 13.0 will be released at the end of July 2019 ready for FOSS4G 2019. Still working on the improvements initiated for OSGeoLive 12.0, it will embedded latest stable version of a vast choice of Open Source Geospatial software. The work on the geodata science with Python and R stacks have also been continued. Documentation is also a big building area and we made a proposal to Google Season of Docs in order to get it even better. We would like to encourage people around the world to help us translate it. This presentation will reflect what we did for OSGeoLive 13.0, what choices have been made, what we plan to do for 14.0 and after. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FR8GFS/

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/

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/

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/

Mapbender is a content management system for geospatial data services and map applications. With Mapbender you can create applications without writing a single line of code. Mapbender is a flexible client for OGC services. Mapbender is based on Symfony, JQuery and OpenLayers. Mapbender is based on the frameworks Symfony, JQuery and OpenLayers. Mapbender has an administration web interface to do all the work or if you prefer YAML you can configure applications via YAML-file. Mapbender helps you to set up a repository for your OWS Services and to create individual applications for different user needs. An application can provide search modules, digitizer functionality, print & more. You have access control and can provide applications for defined users and groups. This presentation will give an introduction on Mapbender and the possibilities. None about this event: https://talks.2019.foss4g.org/bucharest/talk/WZXZNQ/

Geomatics is the key resource in analyzing the deployment of publicly accessible Automated External Defibrillators (AED). Since AEDs are only effective if used within 6 minutes from the onset of an Out-of-Hospital Cardiac Arrest (OHCA), they have a limited area of effectiveness (i.e. ‘catchment area’, CA), that is traditionally computed as a circular surface with radius = 100m. The availability of open geospatial data related to roads network and edification on the territory allows to compute realistic catchment areas based on the effective distance along streets, which is a novel approach, never compared with the traditional method. Aim of this study was to compare the two approaches, and to evaluate if the territory analysis could support decision making about the mapping technique better suiting each device. The study was performed and validated on the territory of Lombardy (Italy, total surface 23’863.65 km2), and CAs were computed for 7458 known AEDs on the territory (at 28/02/2018). The analysis was performed exploiting open source software, specifically QGIS and PostGIS with pgRouting extension. Setting a limit of 200m for the realistic CAs, their mean surface for the considered dataset resulted close to that of the traditional circular area: 33’665 m2 against 31’416 m2. However, the spatial coverage of OHCAs (events occurring inside a CA, on the base of a georeferenced database of 45039 OHCAs occurred in Lombardy within 1/1/2015 and 31/12/2018) estimated considering circular areas (9.43%) is very different from that obtained considering realistic areas (15.35%). The distribution of the mapping error (surface of realistic CA – surface of circular CA) was studied, and its correlation with the characteristics of the surrounding territory was inspected. The considered attributes were: I) distance from the device to the nearest road; II) total length of the roads in the surrounding area; III) number of roads network nodes in the surrounding area; IV) percentage of edified surface in the surrounding area; surrounding area for II) to IV) was a circular area of 50, 100, 150, 200 and 250 m radius. The most correlated attributes were: I) R = -0.58 (p<0.05), and II) R = 0.65 (p<0.05) in 50m-radius area. Results suggest that circular CAs underestimate the spatial coverage of AEDs located nearby streets in a densely networked area, and in these cases realistic CAs, better suiting real-world scenario, are preferable. However, when AEDs are far from the streets, realistic mapping is not reliable, and the use of circular areas is preferable. This second situation is typical of large and isolated facilities (e.g. airports, sport facilities, warehouses), and the circular area better estimates the coverage of the facility itself. With known AEDs location, open data and open source software are reliable enough to decide which mapping technique will result in a better estimation of the CA. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KQNMDG/

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/

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/

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/

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/

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/

PanAfGeo (Pan-African Support to the EuroGeoSurveys-Organisation of African Geological Surveys (EGS-OAGS) Partnership) is an ongoing project which supports the training of geoscientific staff from African Geological Surveys through the development of an innovative training programme. It aims to increase African-owned geological knowledge and skills, with the emphasis on cost-efficiency by using open source software. Among all trainings planned in the project under the umbrella of Geoscience Information Management work package contemporary methods and techniques were introduced in three modules: Spatial Data Infrastructure, Using GIS and spatial databases and 3D Geological Modelling. Geological Survey of Slovenia with assistance of the African Minerals & Geosciences Centre (Tanzania, November 2017) and Geological Survey of Botswana (Botswana, May 2019) organized two trainings on Spatial Data Infrastructure (SDI), focused on how to make geological data interoperable and available to a wide range of stakeholders and end users. The interactive mode of learning through a systematic lecturing approach and practical exercises on computers facilitated a quick learning process in gaining new skills to use open source software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VVYEDW/

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/

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/

Nowadays about 54% of world population lives in urban areas and, according to the 2014 UN-ESA report, this percentage is expected to increase up to 66% by 2050. We are clearly facing a rapid and global trend, that will affect daily life in the next few decades. It is, therefore, crucial to managing this social and cultural change in a much more sustainable way, compared to what was done in the past. Within this framework, the collection, integration, and sharing of reliable and open spatial information is a key factor, benefiting both of different space (Earth Observation (EO) satellites and Global Navigation Satellite Systems (GNSS)) and ground (low-cost devices networked in the Internet of Things (IoT), 50 billion are expected within 2020) technologies. The contribution deals with the general presentation of the Urban Geo Big Data, a collaborative acentric and distributed free and open source platform consisting of local data nodes for data and related service Web deploy, a visualization node for data fruition, a catalog node for data discovery, a CityGML modeler, data-rich viewers based on virtual globes, an INSPIRE metadata management system enriched with quality indicators for each dataset.For data visualization and analysis, a 3D model of the urban environment was created. CityGML is an open standard that has been thoroughly tested in the past years. One of the activities in this project was to create an Extract, Transform and Load (ETL) procedure for converting information from cartographic sources into CityGML at LOD1 (Level of Detail 1). Data are viewable by means of Cesium or Web World Wind depending on the specific examined case. Three use cases in five Italian cities (Turin, Milan, Padua, Rome, and Naples) are examined: 1) urban mobility; 2) land cover and soil consumption at different resolutions; 3) displacement time series. Concerning mobility data and analysis, particular attention has been given to data modeling and processing algorithms with the aim to deliver value-added information enabling standard and innovative services (Origin/Destination matrix, flows checking, routing options, etc.) based also on crowdsourced data. Land cover and soil consumption data derive from semi-automatic classification of Sentinel 1 and 2, integrated with Copernicus land monitoring services at different resolutions and enhanced by photo-interpretation. Several environmental and landscape indicators are assessed at municipal level, exploiting spatial datasets. For displacement, SAR derived time series and the related Web services (WMS, WFS, and WMTS) metadata in RNDT format (the Italian extension of INSPIRE format) are automatically generated thus relieving the data provider from the need to create them manually. Besides the case studies, the architecture of the system and its components will be presented. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8STCNM/

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/

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/

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/

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/

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/

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/

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/

# 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 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/

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/

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/

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Classical spatial information architectures have required a server for the dissemination of spatial information at vector and raster level. With the evolution of technologies and the empowerment of navigators, new alternatives to the dissemination of spatial information in vector and raster format have appeared. Thus, at present, it is possible to conform an architecture serverless that allows the publication of spatial information based on the following standards and technologies: * Vectorial information in .pbf format using the STAC and WFS3 architecture. * Serverless raster information using COGs: Cloud Optimised Geotiffs * Rendering of large amounts of information via WebGL in the browser. This talk offers an overview of a full serverless architecture based on OpenSource technologies. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3QJRX7/

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/

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/

<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/

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 large number of sponsors, many of them very large companies, found at FOSS4G events indicates that there are significant commercial interests and opportunities associated with free and open source software (FOSS) technologies. This talk will describe several recurring patterns and business models for “monetizing” open source technologies, while also - and crucially - contributing back to FOSS communities. The talk will elaborate on the following three main models: 1. Providing value added services and support to open source projects 2. Leveraging/incorporating open source technologies to deliver products/SaaS 3. Open sourcing your commercial technology The talk will also provide real world examples of each of these models from the perspective of a commercial business that is actively engaged in a variety of FOSS activities. The talk will also examine some new and emerging trends including open data being incorporated into commercial platforms. None about this event: https://talks.2019.foss4g.org/bucharest/talk/X8X3EH/

Korea's first- and second-generation new towns have been developed as self-sufficient cities that can accommodate about 100,000 people. However, many new town residents are commuting to a longer distance and feel uncomfortable about their last mile commuting trip. A viable option to address this issue is to introduce a shared mobility service to their last mile trip from a local transportation hub to their home. This presentation analyzes these last miles commuting trip using smart card data, navigation map subscribers' travel patterns, and telecom carrier's Origin and Destination (OD) data on people’s movement. And then author predict the converted shared mobility demand from the calculated existing last mile trip. Lastly, author propose sharing port locations for car sharing, ride sharing, electric bike and personal mobility such as kick boards, etc., based on predicted shared mobility demand. In this presentation, the author also would like to share the trial and error in the process of spatial analysis and design. Keyword: Last Mile Commuting Trip, Shared Mobility, Personal Mobility, Sharing Port, Transportation Big Data None about this event: https://talks.2019.foss4g.org/bucharest/talk/PTE8MU/

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