Chaos Computer Club - archive feed

In a disaster or humanitarian relief context, time obviously matters. This talk will show how, without concern for the details of servers and storage, you can use small amounts of code to quickly build powerful solutions, using a prototype disaster response pipeline as an example. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZFWFG9/

Comet Time Series (CometTS) is an open-source tool that facilitates analysis and visualization of satellite imagery time series. Such analysis can enable population estimation research, change detection methods, or natural disaster monitoring. Historically, analyzing large time series of satellite imagery was achieved using proprietary GIS tools or by time-intensive methods requiring substantial geospatial expertise. CometTS requires only a web browser, Python, and dependent packages to function, obviating the GIS requirement for time series analysis and visualization. CometTS provides a partially automated approach for analyzing a time series of satellite imagery in any user defined area of interest, then calculating relevant statistical quantities (e.g., measures of central tendency and variation), and visualizing their changes over time, all in a matter of seconds. The overall focus of this talk will be on the development and application of CometTS for two analyses: 1) analyzing dynamic population changes over time in Africa and the Middle East and 2) ccreating the first independent estimate of the number of persons without power over time in Puerto Rico following Hurricane Maria. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A8W7SM/

This is the AGM of OSGeo. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7AWSAW/

The talk aims to share with other participants how Map Kibera in partnership with World Bank are helping Counties in Kenya to map their projects. Producing maps to be used during participatory Budgeting forums with the public. The maps help inform what other projects citizens want implemented for them in their respective areas after knowing what’s already in place. Kindly see below http://www.mapkibera.org/blog/2018/07/17/mapping-counties-with-participatory-budgeting/ http://www.mapkibera.org/blog/2018/05/30/citizens-and-government-map-makueni-county/ None about this event: https://talks.2019.foss4g.org/bucharest/talk/CXJSDT/

It is widely known that China will soon be the leading player in world economy overtaking the traditional hubs of North America, Europe and South-East Asia. Its economic activities increasingly influence countries beyond its own borders and dominate global economic growth. The analysis of the shifting axis uses global trade data that countries report through the Harmonised Commodity Description and Coding System (HS-Codes). The shift of power towards China is evident when the spatial mean of some 220 globally traded commodities is calculated for which data is available. Other geo-(statistical) indicators further quantify and visualise China’s growing economic power while other economic centres cannot keep up with this pace or even decline in importance. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MRTSMJ/

National Forest Inventory is an independent survey on the state and development of forests. It is based on mathematical–statistical models. The inventory is now divided into three cycles, the first cycle was realized in 2001–2004, the second one was implemented in 2011–2015 and the third one has been carried out in 2016–2020 [1]. The second part of National Forest Inventory (NFI2) results have been processed and divided into thematic chapters including Forest Area, Growth, Mortality, Tree Species Representation, Age Structure, Forest Regeneration, Dead Trees, Game Damage, etc. I would like to aim my talk to the visualisation of the results in the form of graphs and maps. The basis for the graphical results are statistically processed data. The data are stored in a PosgreSQL database in the form of views. The views have the same structure including estimation, maximal, minimal value, standard deviation and ratio for the selected thematic chapter. The graph properties are created by the functions using R Project linked to a set of functions in PosgreSQL that make the graph in the form of raster or vector image. The set of functions in a database prepare data for maps. The data are visualized using suggested templated in QGIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BQDXMZ/

In the Czech republic and countries in the central-east European region, the market share of the open source software for geospatial is on very slowly ascending curve. We asked a question, what is the market missing, so that the acceptance of the FOSS4G software could be done in much faster way? We came into several conclusions: * Public administration does miss technical support * Both do need training courses, to pass her required set of skills as fast as possible * Current status of the FOSS4G software is still relatively diverse and the interoperability in some fields is unsatisfied, even though it's already manageable Helping the FOSS4G software to grow into public administration organisations as well as into private sector, we started to work on an ecosystem, where users will find * Training capacities * Technical support * Single point of contact for the development communities This talk is about history of building the ecosystem in the region of the Czech republic, about activities of GISMentors open training initiative and what we do for the ecosystem to grow. Several numbers will be presented about the market and it's development during last five years. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JRGZAG/

The assessment of renewable energy potentials in urban environments gained a lot of interest in the recent decades due to CO2 reduction goals by cities, national policies as well as directives by the EU. In combination with advances in data creation and processing as well as the definition of standards like CityGML, new ways of modeling urban potentials have been developed. This lead to numerous approaches estimating roof-top solar photovoltaic (PV) production. However, in recent years due to research in building materials, the façades became more attractive and feasible for PV electricity production. This paper describes results on the development of an completely FOSS-based approach to assess the electricity production potential by building façade PV. To estimate solar irradiation we followed the hemispherical viewshed approach described by Fu, 1999. Combining it with an approach to dissect walls into regular 3D point grids (1 meter spacing) we calculate the sun visibility (each hour) and the sky viewshed throughout the year. This results in direct and diffuse irradiation for every wall point. To generate the electricity potential, the irradiation values are summed up for the wall points and are fed into an economic model. This is driven by technical parameters of the installation, such as module efficiency, installation and maintenance costs, figures about payback tariffs and envisaged module lifetime. The overall result is a city-wide PV suitability and electricity production potential map of every building façade. The processing is based on a city model in the CityGML format using the 3DCityDB database and the spatial processing functionalities of PostGIS. A set of Python scripts has been developed as a central control instance. The scripts control the processing of direct and diffuse irradiation as well as clear sky irradiation relying on the external “pvlib” Python library. Furthermore, we use the scripts to manage parallel processing of queries against the database to achieve scalability and improved performance. The parallelisation is done by processing single building walls. We run a case study with approximately 7000 single wall elements to process. We identified so far one of the major bottlenecks of the approach. This are the calculations of sun visibility for every wall point per timestamp (intersection with surrounding buildings) which takes per wall several minutes to process depending on the number of points per wall. Since we implemented a parallel processing of the walls running on a 80-core dedicated server machine, the completion for an entire city of 3 million wall points uses a decent amount of time for the given size of data set. Here we describe a scalable and highly parallelised approach which can be easily implemented through standard tools and libraries. This open up now for distributed approaches using multiple database servers for even better scalability. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RYCCWV/

How do you find one pixel in a billion? Cloud Optimized GeoTiffs are a new standard for raster data that support file-level access via the internet. Combined with serverless cloud technologies, raster data can now be queried by client-facing applications without the need for a spatial database or specialist server software. In this talk I present how we used COGs and serverless to build a fast and scalable application to query large raster data using point and polygon geometries. As well as providing an overview of the solution architecture, I’ll explore the challenges we face with large raster data and why we chose to develop the solution using these open source standards and technologies. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SQF7YK/

Vector tiles are a challenge for the creative mind. In this talk we will take you along the path of making artistic styles for your vector tiles like this [Crafty map](https://apps.webmapper.nl/crafty_map/) and the [Paradise in the Polder map](https://nieneb.github.io/mycelium/). Starting from the importance of having a good and clear tile set to making your own sprites and glyphs with command line tools and software like Inkscape and Gimp. After that we show some trick to add animation with Turf.js and D3.js. Like placing random hot air balloons all over your map! Vector tiles are on the cutting edge of technology and creativity, we combine both to show you the endless possibilities that vector tiles offer! None about this event: https://talks.2019.foss4g.org/bucharest/talk/LLECPZ/

QGIS - like Geoserver, Mapserver and all the great OSGEO project - do no longer need to prove they can do the job. We now have millions of users, with great expectations, growing budgets and growing communities. Still we lack funding for boring tasks : packaging, bugfixing, documentation, QA and marketing needs some love. **What about changing minds and stop saying open source does not cost anything ?** Could that solve this situation where countries having most users also have the less contributors ? This talk will take profit of real life examples of big corporations that decided to pivot their approach from "using open source" to "embrace Opensource". Let's get out of our technical comfort zone and expose ourselves to enlarge our contributors' base. This is a **deeply optimistic** talk looking right into the eyes of what we need to improve, as an opensource ecosystem ! None about this event: https://talks.2019.foss4g.org/bucharest/talk/7WCC7G/

MySQL 8.0 was a huge step in terms of spatial support -- a step up from flat Cartesian coordinate systems to ellipsoidal geography. In this talk we'll go on a quick tour of the spatial support in MySQL. We'll cover data types, functions, indexes, coordinate reference systems and other core topics. We'll look at both the big design decisions and practical use. What can MySQL do? How does it work? What are the limitations? Join us for answers to these questions and more! None about this event: https://talks.2019.foss4g.org/bucharest/talk/7TF7ZW/

This talk will present an overview of the SpatioTemporal Asset Catalog (STAC) specification, and provide a use-case and example of an API to query STAC items (by space and time), resulting in imagery and associated metadata, even within your favourite chat application. None about this event: https://talks.2019.foss4g.org/bucharest/talk/T8JUZG/

QGIS 3D native rendering has been introduced since QGIS 3.0, thanks for the funding we received from QGIS.org. Over the past couple of years, we have added several features and enhancements. QGIS 3D can now render raster, vector and mesh layers. Depending on the data or geometry type, there are various method of visualising and styling the 3D data. In this talk, we will go through: - Supported 3D data formats - Sources (repositories/download sites and services) where to get 3D data from - Global and per layer configuration options - 3D rendering options (symbology/styling, rule based renderer) - Thematic maps with data-defined extrusions and the rule-based renderer - Drape 2D-data to 2.5d with Processing and a DTM - Animating a movie based on key frames - Printing 3D in a layout The features we'd like to develop in future will include: - Rendering of point cloud - Enhancing the 3D rendering performance - Support for globe None about this event: https://talks.2019.foss4g.org/bucharest/talk/PWUQ8L/

Many of you have asked about the news of fires in the amazon forest and may have a lot of other questions to ask. There are many questions and many different analyses to be made. For the purposes of this presentation, I will propose the following question: “Is the amazon forest being burned in large rates?” I will demonstrate a geoprocessing task using unwieldy data from the NASA FIRMS system (MODIS and VIIRS) and FOSS4G tools to try to answer the proposed question. What I will NOT do is discuss politics, ecology, or causes and effects. This is a complex subject and I believe one should ask questions focused on the decision one has to make. What are you trying to decide? What questions should you ask to help you in your decision? Maybe this presentation will provide you with a workflow and a few tools to do your own research. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YYGMRW/

The defining characteristic of point cloud data is that they are large, and tools such as [Entwine](https://entwine.io) and the Entwine Point Tile specification can help you overcome their bigness. We will discuss how we used Entwine and EPT to construct point cloud web services for the [USGS 3DEP LiDAR data](https://usgs.entwine.io) of the United States as an Amazon Public Dataset. We will also demonstrate how to leverage EPT web services with open source software such as [PDAL](https://pdal.io) to extract information, enhance data utility, and reduce data volume for tasks such as filtering, object identification, and visualization. You will learn about how these tools work together with others such as [GDAL](https://www.gdal.org/) and [PROJ](https://proj4.org/) to provide data management and processing pipelines for expansive data holdings. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9M3WQB/

Martin is a PostGIS vector tiles server written in rust. It is *Fast*. Getting vector tiles out to the web has never been easier. This will be a simple presentation showing how to get started using Martin and having your data being pushed to Leaflet, OpenLayers or Mapbox GL in under 20 minutes. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RRCQN9/

The road traveled to get to a consistent, accurate and fast national vector tile set: Over the past two years we've been testing various open source tools to create and maintain [cartiqo](https://cartiqo.nl): a vector tile set for the Netherlands aimed at creating beautiful webmaps. In this talk we discuss these various tools and explain why we went with **[Tegola](https://tegola.io/)**. Building a harmonized vector tile set based on various open data sources takes more than simply stuffing geometries in tiles. We will discuss the issues we encountered, the choices we made and show some examples what you can do with a rich harmonized vector tile set. By the end of this talk you should be able to build your own national vector tile set. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7MJHTF/

Telling the story of Ms Maya Mielina, a retired GIS analyst and passionate beekeeper, we will show you features that you might not even have imagined existed in QGIS and that will allow you to dramatically increase your efficiency. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QE77K7/

You keep using that word. I don't think it means what you think it means. None about this event: https://talks.2019.foss4g.org/bucharest/talk/V7CMRA/

SHOGun is an Open Source WebGIS framework, that is widely used in private companies, public administrations and also research projects. SHOGun combines user-, data- and application management through a webfrontend, like many others do. Learning new workflows and familiarizing yourself with new application environments is a big challenge for many users. Therefore, possibilities should be created to make the changeover easier for users and to link new technologies with existing ones. In order to bring desktop GIS and webbased GIS systems cloer together, we developped the QGIS plug-in "SHOGun Editor". The talk will show how SHOGun-based WebGIS applications and GeoServer served layers can be administered in QGIS with regard to adding and styling layers and applications. The plugin uses both, the SHOGun and the GeoServer REST API. Using the SHOGun editor, the most central entities layers and applications can be administered almost completely. This includes the creation of new projects/applications as well as the addition and styling of layers. SHOGun-Editor provides the extensive editing options of QGIS also for web applications with a modern, stable and secured backend and helps to setup a pure Open Source based Geodata-I None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZL3PGE/

This is the FOSS4G 2019 awards ceremony: Eo Data Challenge award, Sol Katz award, developer award None about this event: https://talks.2019.foss4g.org/bucharest/talk/QFEMGG/

The impact of land use and land use change and forestry (LULUCF) on soil organic carbon (SOC) stocks and greenhouse gas (GHG) emissions is important for both national GHG inventory reporting and worldwide strategy to offset GHG emissions. Within the Irish Soil Organic carbon and Land Use Mapping (SOLUM) project, Eurostat’s Land Use/Cover Area frame Survey (LUCAS) of 2015, LUCAS soil survey of 2009, and ancillary national open data were employed in an analytical GIS framework to develop spatially integrated soils and land use dataset specific for Ireland. In order to capture dominant Irish land uses that are not included in the EU wide LUCAS survey, the LUCAS dataset was reclassified to grassland intensification and management for IPCC reporting purposes using a formal, semi-automated, interpretation key approach. All types of land use were ascribed to a soil label using the open source Soil Information System (SIS) for Ireland and other ancillary geospatial data, thus generating LUSII, Land Use and Soil Inventory for Ireland. Thus LUSII builds on an existing EU wide Open Data set with local knowledge and GIS analysis to create a new more applicable national dataset. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9A3ZZF/

We started working on BIM (Building Information Model) and GIS integration in 2016. At that time, as one of the results of EU funded research project [DIMMER](http://www.drawingtothefuture.polito.it/projects/dimmer/), we [linked](http://2016.foss4g.org/talks.html#140) the simplified representations exported from BIM to the urban environments in Turin, Italy and Manchester, UK. Since 2016, our work on GIS and BIM integration has steadily [progressed](https://webthesis.biblio.polito.it/6408/). Nowadays, the Municipality of Turin uses the successful integration of GIS and BIM objects for internal facility management of thirty public owned buildings in Turin. Adopting the [3D Tiles](https://github.com/AnalyticalGraphicsInc/3d-tiles) OGC standard, we stream and render online the full BIM and photogrammetric reconstruction of Turin buildings and monuments. Also, using open source tools and open data, we extend the value of digital BIM through visualisation and integration with available cartography. This allows us to fully benefit of BIM potentiality in terms of data and object management. Furthermore, we display our maps and models using open source virtual globes, an easily accessible environment. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3EDL7D/

Tokyo Metropolis publishes a lot of data, and holds an application contest using that data every year. The 2017 contest had the challenge of "developing a tool that would allow everyone to find the perfect toilet for them on the go". I applied for the contest on this subject. There is a chat tool named LINE in Asia,many people use it. We can respond to user input programmatically by creating an auto-answer program called Bot and linking it to this chat tool. I thought that I could search for toilets from LINE if I made a search bot. Some Japanese public toilets are barrier-free.Some toilets have a table to replace baby diapers. Some toilets have facilities for people who wear stoma to clean it. The toilet data published by the Tokyo Metropolitan Government contains information on the position of the toilet and the equipment attached to the toilet. The chat tool LINE is often used using a smartphone. If you use a smartphone, you can search public toilet in Tokyo. So I made a prototype to search the toilet using location and facility information as LINE input program. I used FOSS4G to handle location information in creating this program. At this conference, I would like to explain this development. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QKRPMV/

This talk will provide an analysis of U.S. caselaw regarding self-replicating technologies, such as open source code, and patent exhaustion rights. It will discuss what it currently means to "sell" a "product" sufficiently to invoke patent exhaustion, and how that corresponds to the normal ways in which organizations typically interact with FOSS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/STYGFY/

<p>Most real world features can be presented as vector or raster layers. In open source world, GDAL provides a comprehensive set of tools to interact with such datasets. But vector or raster is not always a suitable description of real world features. Data from oceanography, metrology, hydrology, etc often have multiple components at each location on an irregular structured mesh. A **mesh** can a collection of vertices, edges and faces in 2D or 3D space: - vertices - XY(Z) points (in the layer's coordinate reference system) - edges - connect pairs of vertices - faces - sets of edges forming a closed shape - typically triangles or quadrilaterals (quads), rarely polygons with higher number of vertices  Mesh gives us information about the spatial structure. In addition to the mesh we have **datasets** that assign a value to every vertex. For example, ice cap thickness at particular moment of time. A single file may contain multiple datasets - typically multiple quantities (e.g. water depth, water flow) that may be varying in time. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/XD8EZL/

Deltas are the most productive and economically important global ecosystems associated with some of the largest coastal marine fisheries and the majority of global wetlands. They also the most extensive coastal lowlands threatened by climate change and human activities such as agriculture, navigation, fisheries, forestry, fossil energy production and industrial urban development. Under climate- and human-induced sea level rise, sediment trapping behind dams and destruction of natural protective ecosystems, deltas are currently sinking at accelerating rates. Deltas maintenance and reconstruction depends on effective monitoring of vast and intricate areas of channels, lakes, wetlands, beaches, and islands that cannot be effectively accomplished on the ground without prohibitive expense. If ignored, disappearance of deltas will soon have devastating consequences for the livelihood of the half billion people who live in these coastal regions and lead to mass migration. I’ll present ideas & initiatives that seek to monitor deltas remotely and plug spatially-distributed data into models of hydrology, morphology, and ecosystem dynamics using remotely-sensed data from satellite missions that are complemented by ground sensor networks. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ETCXMP/

<p>A common question seen on many open source mailing lists is “When will you guys fix my bug? It is critical to my company!” This is often followed by one of the developers replying to say “When you write a fix or pay someone to do it”. This leads to the user complaining to everyone that this “snarkiness” is not a “welcoming” response or how unreasonable it is to expect them to learn to program, or to pay. The discussion often descends into a rambling maze of twisty insults and justifications. When the fuss dies down, all the developers go back to doing what they the were doing (something useful) and the user becomes either a dissatisfied user or an ex-user. This talk by two veteran open source developers will help users see that play out from our the developer point of view. We’ll look at the reasons that drive developers to share their code, the licencing conditions covering it, the real life of developers and associated constraints, and what is actually reasonable to expect from both sides. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/D9MXGV/

Agency for Communication Networks and Services of the Republic of Slovenia (AKOS) is the national regulator and one of its missions is to promote competition, to ensure equal conditions for the operation of electronic communication network operators and service providers. AKOS established open source mapping system using PostgreSQL/PostGIS, QGIS and Geoserver for effective supervision of electronic communications and services. Database consists of spatially oriented data as well as attribute data collected from owners of electronic communications infrastructure and different public institutions e.g. The surveying and mapping authority of the RS, Ministry of the interior, etc. Combining these data gives AKOS complete overview of the networks availability and population/homes coverages by various broadband and mobile networks. Database is being updated every few months with newer data, so we can monitor development of broadband services by years and by owners of communications infrastructure. AKOS launched an open portal to enable public access to the part of these data for interested stakeholders in 2019. Main purpose of this portal is to reduce costs of building superfast networks (VHCN), encourage co-usage and joint construction. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8Y9XVL/

During the last decades, many climatic parameters are more and more deviating from the average according to the mean values registered since consistent weather observations are available. The World Meteorological Organization (WMO) stated that the 2015, 2016 and 2017 years were the warmest since 1850 [1]. This trend is going to be confirmed in 2018 according to the preliminary data analysis of the last year. Drought events will likely occur more frequently or with an higher intensity either in Europe and in Asia [2,3]. Sri Lanka is not an exception, the norther-east area is already facing long period with very few precipitation events. Drought has multiple impacts on environmental and socio-economic aspects such as water resources management, human lives, energy consumption and many others. This climatic scenario highlights the importance of the development of monitoring systems to support the management of the drought risk. The 4onse project (analysis of Open, Non-conventional, Sustainable and Effective monitoring systems), funded by the Swiss National Science Foundation (SNSF), aims to evaluate “non-conventional” Environmental Monitoring System (EMS) based on open technologies both hardware and software. At this state of the project, after developing and validating the prototype [4], 30 weather stations have been deployed in the Deduru Oya Sri Lankan basin and collecting the basic weather parameters (air temperature, humidity, pressure, accumulated rain, wind speed and wind direction). The system can help developing and low-income countries in coping the lack in the monitoring and management of natural hazards. In fact, thanks to the collected data, it is possible to elaborate some drought indexes which help in evaluating the intensity of the dry periods. The Standard Precipitation Index (SPI) has been selected as principal indicator to evaluate droughts. The SPI has been calculated integrating the data collected by the 4onse stations together with the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset. In this paper, the authors present the results of the methodology used and the proposed system to share the information that are useful to better take mitigation actions in time. [1] WMO WMO statement on the state of the global climate in 2017; 2018; ISBN 978-92-63-11212-5. [2] Spinoni, J.; Vogt, J.V.; Naumann, G.; Barbosa, P.; Dosio, A. Will drought events become more frequent and severe in Europe? International Journal of Climatology 2018, 38, 1718–1736. [3] Guo, H.; Bao, A.; Liu, T.; Jiapaer, G.; Ndayisaba, F.; Jiang, L.; Kurban, A.; De Maeyer, P. Spatial and temporal characteristics of droughts in Central Asia during 1966–2015. Science of The Total Environment 2018, 624, 1523–1538. [4] Strigaro, D.; Cannata, M.; Antonovic, M. Boosting a Weather Monitoring System in Low Income Economies using Open and Non-Conventional Systems: Data Quality Analysis. Sensors 2019, (accepted). None about this event: https://talks.2019.foss4g.org/bucharest/talk/MLUXMW/

The Open Green Map app has been used by map makers around the world to collect thousands of green sites over the last decade. With a new implementation, the Open Green Map has potential to truly live up to its name, and achieve a sharable, scalable, fast and easy to use application. This is what the project I will present sets out to do. Working on an open source project can sometimes make it seem like compromises around performance or user centric design are reasonable. What if you don't want to compromise in any of these 2 directions? By using an appropriate and modern tech stack, along with generative programming techniques, we hope to introduce a new approach for creating GIS applications. This talk will introduce how the new Open Green Map app works, and advantages of using DLang and Ember for a GIS app. We will also take a look at challenges that arise in relation to implementing GIS applications while having plenty of constraints around resources, and when helpful open source libraries are missing. The presentation will include an overview of the infrastructure, examples of how we generate REST APIs based on the app models and a quick look at how we efficiently display the sites on maps. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VTNTG8/

The SoDUCo is a research project proposes to develop methods and models to study the evolution of the urban spatial structure in relation with social and professional practices. It allows the qualification of geo-historical sources (maps, directories, etc.), the semi-automatic extraction of the information and their (spatio-temporal) matching. Software components are all open-source and produced datasets are free to reuse. The reconstitution of the evolution of Paris from 1789 to 1950 will be done by using two specific sets of sources: master maps (datasets mainly from the BnF (French National Libray)) and the complete series of cadastral maps which describe the evolution of road networks and urban fabric and, for the same time period, street & trade directories, which provide the socio-professional activities aor status of people localized by their addresses. This talk will show how partners (French National Institute of Geographic and Forest Information (IGN), EHESS, National Archives and EPITA ) will build the final product of the SoDUCo project consisting in the first unified, distributed, reusable and interoperable platform to handle geo-historical sources. We will also show how we animate this cross-domain project. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GJXH3P/

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

Social media have shown significant contribution in disaster reliefs. It could be very valuable source of the on-site information shared by the affected citizens. Particularly, Twitter is currently one of the most popular social media used for the exchange of information connected to the disasters. If this type of source is considered as a real-time crowdsourcing of crisis information, the spatial distribution of geolocated tweets related to an event can represent an early indicator of the severity of impact. This raises a question if rapid mapping teams could use additional information from Twitter before mapping. Would it be possible to estimate the outcome, to understand the affected zones and approximate level of impact? The aim of this paper is to explore the spatial distribution of the Twitter posts related to a disaster and to analyse their potential in providing fast insight regarding the impact. The focus of the analysis was on the tweets related to the hurricane Michael that happened in Florida, in the United States on October 2018. The crisis maps produced by Copernicus Emergency Management service were used as reference data and obtained results were compared with them. Copernicus EMS have produced twenty-five delineation maps over the coast of Florida. Six maps were delivered on the 11th of October and the rest of crisis maps were published on the 12th of October. The focus of this study is to explore the potential of Twitter’s crisis posts in providing information before the delivery of maps. The available message dataset consisted 8169 tweets posted from 10th until 15th October. The tweets published before the delivery of crisis maps that are inside of the crisis maps’ area, in total 30% of the available dataset, were analysed. Weights have been assigned to each tweet, on a base of the date of posting; i.e. newer posts were considered as more relevant. Spatial statistics have been performed with QGIS and GeoDa. For example, the QGIS plugin Hotspot was used to identify where statistically significant spatial clusters were present, more precisely, the zones with significant concentration of relevant posts were corresponding to areas with high impact of the hurricane. Comparisons of the results with the reference data have been performed and discussed, showing the potential value of these data for crisis mapping. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CVUY3C/

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

Putting together a conference is a huge amount of work, but one that can reap ongoing benefits for the community that makes it happen. Creating one from scratch is a scary thing, but this is what we attempted to do for Oceania in 2018. In the spirit of openness, we'd like to share what we as a region learned as well as the next steps. We'll cover the forming of a conference committee, preparing and running a conference, and creating a sustainable entity and momentum once the conference is over. We're also going to shamelessly promote FOSS4g SotM Oceania Wellington, 12-15 November 2019. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MCCYR9/

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

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

OSGeoIE was formed in 2015 and this year we held our 3rd annual conference. In our mission statement we aim to "create a networked community of OSGeo/FOSS4G users, developers, practitioners, teachers, advocates, etc in Ireland". Our talk will discuss experiences since 2015: Developing a shared understanding of community participation in OSGeoIE events, how to be effectively resourced as a local community, attempts to establish a more coordinated approach to communication and learning between partnerships, governmental agencies, industry and other software communities and how participation in OSGeoIE make a difference for volunteers and OSGeo/FOSS4G users and advocates? There is increasing cross discipline/domain interest in QGIS with particular interest in QGIS from local government authorities. We have also worked on building strategic and synergistic links with other similar communities such as OSM IE and Python IE. The academic community are actually under-represented at our events. We are interested in hearing feedback from FOSS4G delegates on their experiences of building an OSGeo community in similar sized countries and regions. We also hope to provide inspiration to anyone thinking about setting up a local chapter. None about this event: https://talks.2019.foss4g.org/bucharest/talk/AFRCHM/

When disaster strikes developing countries, a lack of geographic data is often a hindrance to first response and relief operations. To address this lack of geographic data, remote mapping and especially mapathons have played an important role in collecting geographic data in OpenStreetMap (OSM) that can be used to plan activities in areas effected by disaster or other humanitarian efforts. During mapathons, volunteers from various backgrounds get together to map a specific area using satellite imagery or aerial photographs. The expertise and motivation of these volunteers generally differ. Even though the geographic data in OSM is invaluable in cases where little to no data is available, the quality of the data collected during mapathons is often questioned. In this paper, we present our results from an evaluation of university students’ motivation for participating in mapathons and their productivity (i.e. how much data they contributed). To achieve our aim, we hosted four mapathons for final year university students where the participants were asked to complete a short questionnaire to determine their motivations and personal opinions of the mapathon. Afterwards, the productivity for two mapathons were evaluated. Final year students enrolled in a geoinformatics module were offered extra credit for participating in the mapathons. As a result, the majority of the students participated in all four mapathons and the answers did not differ significantly between the four mapathons. One of the main reasons mentioned, apart from extra credit, was that the participants felt a sense of humanitarianism through contributing to communities in need by assisting. Additionally, the social aspect also came through with a large percentage of the participants indicating that mapathons are fun and that they learned something new, for example by improving their digitizing skills or that humanitarian organizations need help. Participants also indicated that the tools (i.e. OSM and iD editor) were easy to use, but that the imagery is sometimes not good enough due to cloud coverage. The general productivity for two mapathons was evaluated and we found that with more experience the participants were generally more productive. A further step was taken by investigating five individuals productivity. It was clear that their productivity increased, and that they made fewer errors during the subsequent mapathons. The results from this evaluation provided insight and knowledge that could assist mapathon organisers to create a more productive environment for participants with the hopes of encouraging them to produce high quality data. The feedback from students was clear that if they receive information about the aim of a mapathon and why the data is important, they are more motivated to produce high volumes of quality data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/THMVYS/

Curricula in geography and GIS can be transformed by integrating open source GIS with critical human geography. This integration requires students to develop strong skills in assessing error and uncertainty and in questioning the powerful social implications of spatial information technologies, and requires faculty and students to develop new open curricula, features and algorithms to facilitate teaching introductory spatial analysis. Building on three semesters of experimentation with an advanced-level integrated open and critical GIS course, I have transformed a large introductory proprietary GIS course into a critical human geography course with open-source QGIS.<br> Throughout the curricula, open GIS techniques are mapped to critical human geography concepts. Novice GIS students learn fundamental techniques while also learning to question the political economics, social and cultural forces, and instrumental logics that shape GIS data, software algorithms, visualizations, and social impacts. For example, students' first exercise is to practice radical cartography of disabled mobilities. On one hand, they learn fundamental techniques of the vector data model, planning a data collection schema, using a Leaflet application exposing the global positioning system location services on their phones, querying OpenStreetMap data, and creating a QGIS map visualization and print layout of wheelchair users' accessibility on campus. On the other hand, they confront and appreciate social power in construction of the built environment and campus maps, socially differentiated mobility in physical and cognitive space, and potential for GIS to challenge the status quo. <br> What are the substantive differences between teaching GIS and teaching human geography with GIS, or between teaching open and proprietary GIS? Teaching human geography places critical questions about the society and society's interaction with spatial technology first, while the spatial technology itself is not black-boxed, infallible, or determinant. Taken together, students first ask how GIS can be used for critical inquiry and when GIS fails or delivers unsatisfactory results, they ask how open GIS can be altered to produce better answers. The fallibility of open GIS requires a pedagogical focus on assessing error and uncertainty: students must learn to confidently assess the integrity of each algorithms' results. The accessibility and malleability of open GIS enables students and faculty to change GIS as we use it, and open GIS can benefit from cohorts of novice students critically engaging with the technology. New forms of GIS users and applications emerge as students diffuse open GIS technology through other university courses and internships with grassroots and non-governmental organizations. New forms of open GIS software emerge as students help create more user-friendly open GIS for novices and repurpose open GIS for critical inquiry. None about this event: https://talks.2019.foss4g.org/bucharest/talk/EZVUUY/

PULSE (Participatory Urban Living for Sustainable Environment) is an EU-financed project that aims to develop a set of models and technologies to predict and manage public health problems in cities and promote health. It follows a participatory approach where citizen provide data through personal devices, that are integrated with information from heterogeneous sources: open city data, health systems, urban sensors and satellites. The project deals with various issues concerning air quality, lifestyle and personal behavior and it aims to investigate the correlations between the exposure to atmospheric pollutants, the citizen habits and the health of the citizen themselves, focusing on Asthma and T2 diabetes.PULSE is being implemented in 5 major cities. The presentation will concentrate on the key geospatial aspects of the platform, implemented using FOSS, highlighting issues and challenges. It will describe the most relevant components, such as satellite data processing, deployment of sensors, management of acquired spatial data, WebGIS and Dashboard tools to provide spatiotemporal visualization and analysis, the integration of models, the definition of relevant index to connect epidemiologic data with spatiotemporal representation None about this event: https://talks.2019.foss4g.org/bucharest/talk/J3QSS7/

The talk will introduce Copernicus - the European flagship Earth Observation programme - its support for European policy, the Copernicus startup and research programmes, and its contribution to the European Data Economy. The talk will also discuss the challenges and opportunities related to the large volumes of data being generated. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZLLXY9/

In 2018, Ecometrica Ltd. was tasked with identifying potential deforestation over 7000 sites spread across South America over a one year period. This required the analysis of more than 15 Terabytes of satellite imagery, and was equivalent to processing a total area of approximately 25 million km2 for the entire time sequence. Given the vast area and dense time series data required, we developed an approach that uses freely available data from Sentinel 1 (radar) and the Hansen et. al. Forest/Non-Forest map, and processed the imagery with using an open source stack including data preparation software (SNAP toolbox), Omnibus change detection algorithm, and Python 3.x GIS libraries (GDAL, Fiona and Rasterio etc). None about this event: https://talks.2019.foss4g.org/bucharest/talk/TMEUWB/

OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles, which are ready to use in OpenLayers, Mapbox GL, Leaflet, QGIS as well as mobile applications. This talk gives an overview of the major changes in the project. Apart from providing a base map of the whole world, the same principles of OpenMapTiles can also be used to create various thematic layers. We'll also talk about and demonstrate a possibility to build on top of the OpenMapTiles tools to produce the vector tiles in different coordinate systems while keeping all the features, such as interactivity to create powerful region-specific applications. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A77U7H/

None about this event: https://talks.2019.foss4g.org/bucharest/talk/RSUTDW/

Korean government has launched the 'Public Safety Map' to provide safety information, with a web map service since 2013. It collects 160 pieces of information from 29 agencies, and compiles Public Safety Information maps in eight categories. In 2018, we analyzed performance and usage patterns to evaluate the use of the system. This analysis revealed that users were having difficulty in accessing the thematic map rather than the information itself. Users unfamiliar with the service had to click on the menu tree structure in order to find the desired topic, which resulted in a decrease in service utilization. It also became clear that it was difficult for users to find their desired thematic map, because there were over 214 service menus. In order to enhance accessibility through an improved user interface, we applied a new technology: a chatbot. Now users can find the desired thematic map and move to the area of interest through dialogue with the chatbot. As a result, where some thematic maps had previously taken up to eight levels (clicks) to display the thematic map, this was reduced to two levels by using the chatbot service. We plan to improve the chatbot service and continuously increase its utilization through user surveys . None about this event: https://talks.2019.foss4g.org/bucharest/talk/HSUP3G/

At Swiftera we've built a Spatio Temporal Asset Catalog (STAC) service using the gRPC framework and protobuf messages (instead of the OpenAPI framework and JSON messages) . The Remote Procedure Call framework, gRPC, and the protobuf message format are what Google uses internally for it's micro-services (10s of billions of messages a second). Since Google open sourced gRPC 4 years ago, it has been widely adopted by companies moving massive amounts of data (Netflix, Salesforce, Spotify and others). But it isn't only about performance, it's also an suprisingly easy framework to get up and running. At FOSS4GNA we open sourced our NAIP metadata service and the IDL defining the services and messages. By Bucharest we plan to have added Landsat and Sentinel to our public gRPC service. We want to share more about what it's like to work with gRPC and the ease of development for hosting your own gRPC services. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7NBS9M/

Water and Sanitation Corporation (hereinafter, called WASAC) and Japan International Cooperation Agency (hereinafter, called JICA) are coducting the project for strengthening operation and maintenance of Rural Water Supply Systems in Rwanda (hereinafter, called RWASOM) since 2015. RWASOM mainly supports 4 model districts - Rwamagana, Kayonza, Ngoma and Kirehe at the Eastern Province in Rwanda. The project conducts developments of manual and capacity building of WASAC, Districts and Private Operators. <br> Currently, most of countries focus SDGs to achieve 100% water access by 2030. Because of that, it is very necessary to collect and analyse the GIS inventory data for water supply management, especially planning and improvement of operation and maintenance. <br> Now WASAC has started to map all of water facilities data in rural area under support of RWASOM since July 2018. Then, we also started to use collected data by offline since Feb 2019. <br> We spent the minimum budget to conduct our mapping and data sharing without customizing FOSS4G so much. This our approaches might be very useful for other users in developing countries. So we would like to share our experience and approach of FOSS4G in Rwanda. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KARD8L/