Chaos Computer Club - archive feed

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

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

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/

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

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/

According to the recent survey that we conducted in Mukuru informal settlement here in Kenya. Total organic waste per house hold is 11.065 kg per week. Toxic waste is 1.089 kg per week. Recyclable waste is 3.5 kg per week. Total average waste per week is 15 kg the question is where does this waste go?? Over 50% of respondents claimed that there are no efforts being made to deal with waste. Again what happens to this waste?? 18.9 % bury their waste placing it in drainage or undeveloped spaces. This is posing a great danger to our environment and beyond. During rainy seasons this waste is carried away blocking drainage and some gets its to the rivers and all the way to the sea. Note in Nairobi Kenya alone. We have 57 informal settlement and Kenya as a whole got 167 informal settlement. How many tonnes of garbage are produced in this areas. Which are defined as SLUMS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/X3T8AF/

After collecting data on the field, it needs to be brought back to the office for analysis, visualization and archiving. Depending on the amount of field workers involved and the complexity of your geo data infrastructure, different approaches need to be taken for an optimized workflow. In this talk, you will join Maya the beekeeper along with her friends from different organizations on their journey to collect and integrate data. From a one person biological survey office to an enterprise level asset management company with hundreds of field workers collecting in parallel, this talk will give you the basics to get started. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DTRTNQ/

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

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/

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/

[Oskari](www.oskari.org) is a multi-purpose web map platform optimized for utilizing modern spatial data infrastructures. Currently incubating to become an OSGeo project Oskari supports a wide variety of OGC services including the WFS 3.0 draft specification. However Oskari's speciality is it's support for statistical APIs and the thematic mapping tool. The thematic mapping tool in Oskari allows users to create dynamic thematic maps from online data. Different visualizations, classifications, charts and time series are supported. This talk will introduce Oskari and showcase the thematic mapping tool. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QRCCML/

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

Automatic large-scale mapping of land cover classes facilitates applications in sustainable development, agriculture, and urban planning, and is therefore a commonly studied topic in remote sensing image processing, but typical deep learning approaches use models pre-trained on everyday image datasets like ImageNet and retrain them using only three channels (usually RGB), not fully leveraging the unique properties and spectral information of multispectral satellite images. The latest approach in our series of approaches, powered by new open satellite imagery datasets like BigEarthNet and machine learning libraries like fast.ai and eo-learn, explores the effect of pre-training convolutional neural networks on multispectral satellite imagery for country-scale land cover predictions on data for all of Slovenia in 2017. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JKFCAF/

pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 (HTTP protocol binding - Catalogue Services for the Web, CSW) of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile activities such as US data.gov/geoplatform.gov, IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr and WOUDC. This session starts with a status report of the pycsw project, followed by an open question/answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, what is the current project roadmap, what are the main features of current stable release (2.x) as well as the future direction of the project towards pycsw 3.x that will implement search engine support as well as OGC CSW 4 in support of the emerging OGC API efforts. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NHLBUD/

As intention to facilitate faster establishment of cadastral databases, different projects were initiated to support rapid automated approach for boundary extraction from remotely sensed imagery. Such project is the EU funded “its4land”, developed as a joint venture between several organizations including University of Twente. Despite the current advancement of the modern segmentation algorithms, there are imperfections in the output that have to be further manually filtered out. Therefore, a QGIS plugin called BoundaryDelineation was designed and developed to support an interactive delineation of visible (cadastral) boundaries to speed-up the process. The plugin supports the full pipeline of loading, picking and drawing segments, and saving to a remote server the final validated output, which allows rapid reduction of the mouse clicks compared to manual delineation, which affects the overall speed of creation of cadastral entities. The presentation will consist of a general overview of the its4land project, and main focus on the usage of the BoundaryDelineation QGIS plugin as a more general-purpose assistant in boundary delineation. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HRNDWV/

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

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

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/

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/

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/

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/

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

An overview of the GNOSIS Map Tiles (GMTs) open specifications for tiling geospatial data developed by Ecere in conjunction with OGC Testbed 13 and 14 and the latest draft specifications can be found in OGC Engineering Report: http://docs.opengeospatial.org/per/18-025.html#GMTSpecs GMTs can contain different types of data such as vector data, satellite imagery, coverages/elevation models, point clouds and either embedded or referenced 3D models (e.g. using Ecere's E3D format, or another encoding such as glTF for example). GMTs are compact, ensure proper vector topology, and minimizes the time required to load onto GPU for hardware accelerated rendering. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TSUBJX/

We have a well developed and respect for procurement of software and services. How does open source effect what you are shopping for? This talk introduced some of the procurement advantages, trade offs, and options to consider when introducing open source into your organization. A key theme is the additional purchasing power open source offers, additional transparency afforded, along with the responsibility and benefits available through greater control. This talk looks at what makes the perfect hotdog, including several popular options and the authors regional favourite. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GYWHRH/

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/

Deutsche Telekom AG (DTAG) revolutionises the planning process of fibre networks (FTTH) to * increase number of connected households and industries dramatically, and * shorten the time to market in general. For this goal DTAG, advanced geoprocessing algorithms including artificial intelligence (AI) automate the conversion of surface information into cost optimised potential trenches used in the fibre build process. The surface information is gathered by terrestrial laser scanners and photos as well as extracted through a complex analysis from aerial orthophotos. This surface information then is used in conjunction with other (open) data as an input for the provisioning of potential trenches needed for FTTH. The processing of these orthophotos as well as the calculation of trenches are handled by the open source actinia cloud geoprocessing engine. Actinia is a new OSGeo community project, offering a REST API to GRASS GIS. The actinia processes are scaled and implemented as a service in the Open Telekom Cloud. In this talk, we present the handling of large and complex input data in the FTTH-process. Focus is on the usage of actinia, and how actinia supports a core process of the largest German telecommunication provider. None about this event: https://talks.2019.foss4g.org/bucharest/talk/U3DM9L/

In this keynote, we’ll explore the explosive growth in quantity of geospatial data, and how this is fueling the need to more frequently join geospatial data with traditional data. We’ll explain how those new scale requirements demand a massive improvement in speed, and how GPUs can be used to accelerate the querying of geospatial data using an open source in-GPU-memory SQL database. Finally, we will demonstrate interactive analysis of the entire, global Open Street Map dataset as an example of what is now possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3VAXQW/

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/

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

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/

When you choose a 3D rendering stack to work with your 3D city model, your best options are open-source: CesiumJS, VTS Geospatial or iTowns. While it is not trivial to make a direct one-to-one comparison because each stack is built on slightly different philosophy, they all strive for the best possible performance. In this talk we will discuss the strong points of each stack and show a performance comparison between them carried out on the same data. Possibilities of interoperability and hybrid architectures will be also briefly covered. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8KKEVJ/

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/

GeoEasy is a complex open source tool for land surveyors’ calculations. It has a quite long history, its development started in 1997, but new among the open source software. The license was changed to GPL in 2017. GeoEasy is available on Linux and Windows platforms, too. A graphical user interface (GUI) makes the program user friendly. Besides the basic surveying calculations it is suitable for network adjustment, local coordinate transformations. digital terrain models and regression calculations. The program supports several input (electric field-books of total stations, csv, dxf) and output formats (csv, dxf, gpx, kml, vrml, ascii grid), so it can easily be inserted into user’s work-flow and can fill the gap between the surveyor’s data and GIS. GeoEasy is based on other open source projects among others PROJ, GNU GaMa, Triangle and available in five languages (English, German, Czech, Russian and Hungarian). The source code is available on GitHub. The aim of the presentation is to make the user and developer community wider. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3JRAAD/

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/

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/

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/

Spatial information and its treatment has evolved from the centralization and publication of this in a single repository via standards such as WMS to the service of the information as it is to be processed by browsers via WFS. However, the WFS protocol has some shortcomings in terms of performance when it comes to the format in which to serve the information, giving way to more optimal formats for the service of vector information such as .pbf. This format allows the transmission of large amounts of information to the local browser client. This information, increasingly larger, requires the use of specific rendering libraries such as WebGL. The present work shows a state of the art of the existing WebGL libraries and a real test field on which the data have been tested, showing the results obtained and the most optimal solution. The following frameworks have been considered for the representation of large amounts of data: * OpenLayers * Mapbox GL js * Deck GL * kepler.gl Resulting on the tests executed to represent large amount of data, Mapbox GL has revealed as the more flexible tools in terms of performance and capabilities. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YVGPTY/

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

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/

Data collection is an essential part of most GIS users. There are several mobile apps (open source and proprietary) which can be used carry out such tasks. We have extended QGIS libraries to take advantage of [QT Quick framework](https://doc.qt.io/qt-5/qtquick-index.html) and introduced [QGIS Quick library](https://github.com/qgis/QGIS-Enhancement-Proposals/issues/109). QGIS Quick library has become a part of the official QGIS project and it adds the possibility to create custom mobile apps. Just like plugin architecture for desktop QGIS allows great flexibility to introduce custom functionality, QGIS Quick library provides similar groundwork for mobile mapping apps. [Input](https://github.com/lutraconsulting/input) a free and open source mobile app has been developed, leveraging on the new QGIS Quick library. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FGLFY7/

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/

PyWPS is an open source, light-weight, Python based, implementation of the OGC Web Processing Service (WPS) standard. It provides users with a relatively seamless environment where to code geo-spatial functions and models that are readily exposed to the Internet through the WWW. Initially started in 2006, the current 4.x version takes advantage of the state-of-the-art Python infrastructure in order to provide new and useful features. The current version implements the WPS 1.0 standard entirely. The WPS 2.0.0 and it's features is currently on-hold status. PyWPS offers a straightforward WPS development framework with the increasingly popular Python language. Python offers access to a vast array of code libraries that can be easily used in the processes, in particular those for geo-spatial data manipulation, e.g. GRASS, GDAL/OGR, Fiona, Shapely, etc., but also to statistics packages (e.g. rpy2 for R statistics) and data analysis tools (e.g. pandas). PyWPS offers storage mechanisms for process inputs and outputs and spawns processes to the background for asynchronous execution requests. Talk will present features of the last 12 months of development and outline the roadmap for next versions of PyWPS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NLVSZJ/

SDI's typically have a challenge of a data publication requiring a review phase before becoming approved and accessible. It is relevant for each aspect of data publication; data, transformations, service and metadata. The review phase should be as complete as possible (including INSPIRE/OGC/QOS validation) so there will be no surprises when making the resource widely available. GeoNetwork has had a workflow module to allow users to review a record before it becoming public for a long time, however the functionality was a bit hidden and had some challenges. This summer we're landing a 5 years old feature branch in GeoNetwork to improve this aspect of the application. The workflow, if configured, is brought more upfront and a mechanism has been added to allow to work in a draft version, before the approved copy is replaced. This branch has been extensively tested by some of our users in recent years. From their experiences we’ll highlight some of the additional benefits of this module. The workflow mechanism can also be used to trigger publication of datasets in external components, such as Docker or GeoServer. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QSGRZW/

Deep learning algorithms appear as a major breakthrough in GIS scope: neural networks are able to do semantic segmentation on aerial images, so as to identify building footprints, roads, and so on. Oslandia is an opensource company studying and exploiting geospatial data, with an extensive R&D activity about geospatial data science. This presentation will detail some of our Python routines in terms of geospatial data handling. We will describe our processes from raw data to prediction results. As the main step of the pipeline, machine learning techniques (e.g. convolutional neural networks for image semantic segmentation with Keras) produce valuable predictions. In the case of geospatial data, a postprocessing step is often necessary for displaying the results in web applications and GIS tools. A concrete illustration of our results will be provided through a light Flask application designed for demonstration purpose. None about this event: https://talks.2019.foss4g.org/bucharest/talk/WRHNWY/

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/

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/

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/

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