Chaos Computer Club - archive feed

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/

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/

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/

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

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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/

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/

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/

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/

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/

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/

pgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality. This presentation will show the inside and current state of the pgRouting development, from its wide range of shortest path search algorithms and other algorithms like driving distance calculation or “Traveling Sales Person” (TSP) optimization, graph contraction, flow analysis etc. Additionally we will give a brief outlook and introduction of upcoming new features on the version 3.0. We will explain how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem. Links to project: https://github.com/pgrouting/pgrouting None about this event: https://talks.2019.foss4g.org/bucharest/talk/7WKUZY/

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/

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

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/

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/

Govmap - Israel's national geospatial portal. The national geospatial portal managed by the Survey of Israel, contains various governmental and public information and provides extensive applications of various aspects such as data collaboration, planning, weather, transportaion etc. Our main project these days is a migration of the geo-portal to open source technology. The talk will elaborate about these efforts and the uses being made with open source software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RUMCE8/

Orfeo ToolBox (OTB) is already used in numerous Remote Sensing & geospatial processing chains, throught its C++ or Python interface. OTB users can also deal with almost 100 applications through their own graphical interface or via QGIS. We would like to talk about future interfaces for OTB, especially about Python interface (Conda environnement, Jupyter notebook for demos, etc.) and how OTB can interact with other commonly used environments in the geospatial community. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NHXYH8/

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/

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/

<p>With the exponential growth of the variety, heterogeneity and volumes of geospatial data, a wide range of actors have increased their need to combine information from multiple sources such as private, crowdsourced and public sector repositories. The purpose of this study is to compare two sources currently relevant for Europe: INSPIRE and OpenStreetMap (OSM). In doing so, we start with a brief overview of the two data sources, outlining similarities and differences as well as pros and cons for data users. In force since 2007, INSPIRE is the Directive aiming to create a European (EU) Spatial Data Infrastructure (SDI) to be used for environmental policies. The Directive requires EU Member States (MS) to publish geospatial content falling under 34 cross-sectoral categories (themes) according to a Service-Oriented Architecture (SOA) approach based on ISO and OGC standards. On the other hand, OSM is the leading geospatial crowdsourcing project. Born in 2004 and counting more than 1 million active contributors, the project has produced a worldwide, large-scale geospatial database. In addition to their different approach (legislative, top-down vs. community-based, bottom-up), INSPIRE and OSM feature a number of technical differences. While OSM data is structured around a flat data model with attributes encoded as simple key/value pairs, defined and maintained by the OSM community in a flexible wiki environment, INSPIRE features complex data models for each of the 34 themes which have been rigorously defined and are maintained by the European Commission through a constant dialogue with INSPIRE stakeholders. Consequently, while INSPIRE proposes specific data formats for increased interoperability, OSM data can be retrieved into a variety of GIS-friendly encodings as well as through dedicated Application Programming Interfaces (APIs) which increase their reuse and the development of third-party applications. From a legal point of view, the open access license of OSM (available under the Open Database License) further facilitates the re-use of the data as well as the production and distribution of derived products at any spatial scale. Instead, being built on top of individual national infrastructures, INSPIRE data sets are available under a variety of different licenses, which overall may hinder the full usability of the infrastructure. Finally, whilst INSPIRE is by definition an authoritative source of quality-certified data, OSM quality can only be ensured by the very nature of its crowdsourced approach; nevertheless it has been proven in some cases to be comparable, if not even better, than authoritative sources. The paper will further develop this comparison by detailing the aforementioned elements on concrete use cases addressing specific EU MS and thematic data sets and discussing how to make the most out of the two sources. An analysis of available FOSS4G solutions to access, visualize, analyse and process INSPIRE and OSM data will be also provided. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/7VGNQK/

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/

CesiumJS is a fantastic library for 3D geospatial visualization on the web, but it can be a huge amount of work to build a full-featured application on top of it. Enter TerriaJS. It builds on top of CesiumJS - and is released under the same open-source license - while adding a responsive UI for exploring a catalog of datasets, charts and graphs, a "splitter" interactive comparison tool, automatic region mapping from CSV files, hooks to geoprocessing services, shareable story building, a 2D fallback based on Leaflet, and much more. In this talk we’ll discover many of the advantages of using TerriaJS while exploring how we used open source and open standards to create the NSW Digital Twin Proof of Concept, a catalog and viewer of 3D datasets integrating live transport data, infrastructure (above and below ground), building information models, and cadastral data. TerriaJS also underpins multiple other major projects developed by CSIRO’s Data61 including Australia’s nationalmap.gov.au and the Global Risk Map - built for the United Nations Principles for Sustainable Insurance Initiative. TerriaJS is widely utilised by independent map publishers with an active chat community on gitter.im and more than 450 GitHub stars. None about this event: https://talks.2019.foss4g.org/bucharest/talk/EJ9ZGE/

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/

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/

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/

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/

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/

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/

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/

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/

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/

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

Having 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/

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/

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/

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

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/

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

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/

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/

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

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

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/

# 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/

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/

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/