Tag: Big Spatial Data

  • Job Offer: “Lead: Geo Machine Learning for Good” Senior Spatial Data Science Expert (m, f, d) 100% permanent, HeiGIT gGmbH

    Job advertisement HeiGIT gGmbH Do you want to use your machine learning expertise for the benefit of society and the environment? Do you want to improve the availability and quality of geospatial data and further develop geoinformatics methods used for open, non-profit applications in the field of sustainability, mobility and humanitarian aid? That’s our mission […]

  • Job Offer: “Lead: Geo Machine Learning for Good”, Senior Spatial Data Science Expert (m, f, d), 100%, permanent, HeiGIT gGmbH

    Du willst Deine Machine Learning Kompetenz zum Wohle der Gesellschaft und Umwelt einsetzen? Du willst die Verfügbarkeit und Qualität von Geodaten verbessern und geoinformatische Methoden weiterentwickeln, die für offene, gemeinnützige Anwendungen im Bereich Nachhaltigkeit, Mobilität und humanitäre Hilfe eingesetzt werden? Das ist auch unsere Mission! Die HeiGIT gGmbH ist ein forschungsorientiertes, gemeinnütziges Start-up mit den […]

  • ohsomeHeX provides access to OSM feature history

    Did you ever wonder how your city was mapped over time, how geometries were changed and refined, how mistakes were added and corrected again? Then read on: ohsomeHex has a great new feature for you – the individual object’s zoom-in-history-view. To continue in providing valuable insights into the quality and development process of OpenStreetMap data, we […]

  • OSM History Analysis with ohsomeHeX v1.0

    Get valuable insights into the quality and development process of OpenStreetMap data with ohsomeHeX! We are proud to announce a new release that provides a completely redesigned UI that makes it easier to keep track of all relevant information. Choose one or more topics, choose different areas of interest and let ohsomeHeX create comparison graphs […]

  • ohsome API v1.1 – changes and new functionalities

    Recently we’ve had the first minor release 1.1 of the ohsome API, which brings several new features and upgrades. In the following lines we want to present to you the most important ones. Prior to 1.1, when you were requesting data through one of our data extraction endpoints, you would always get the geometries clipped […]

  • The future of working with OSM data

    The open, flexible and collaborative nature as well as the benefits and advantages of OpenStreetMap (OSM) lead to the creation of a whole new ecosystem evolving around the project. They range from local and global communities of data and software developers to a large amount of tools and services like disaster response, routing, art etc. […]

  • New function in the ohsome API for checking query parameters

    As you may already know from the latest blog posts, new advancements are brought with the release 1.0 of the #ohsome API. One minor function involves the correctness of parameters that you can use in your queries, which was developed by our intern Rosario in the last weeks. The new feature Let’s say you send […]

  • How to become ohsome part 6: Introducing the magical filter parameter

    We are back again with a fresh part of the How to become ohsome blog series. In case this 6th part of the series is your first one, or you have not heard from our awesome OpenStreetMap History Data Analytics Platform before (short form: ohsome platform), don’t worry. We’ve added some context, as well as […]

  • Invited talk at the Spatial Data Science Symposium 2019, Santa Barbara

    The Center for Spatial Studies, Department of Geography at the University of California, Santa Barbara is hosting the Spatial Data Science Symposium 2019 this coming week with the title “Setting the Spatial Data Science Agenda” Over 40 selected participants will gather to discuss the future of Spatial Data Science at this expert meeting. Instead of […]

  • GeoNet.MRN at Smart City Expo World Congress Barcelona 2019

    Last week was the Smart City Expo World Congress 2019 took place in Barcelona. Our region geoinformation network GeoNet.MRN was there with a booth presenting the members of GeoNet.MRN, among others the GIScience Research Group / HeiGIT at Heidelberg University. We offer a range of technologies and services for building sustainable smart cities, esp. in the […]

  • Recap of HeiGIT @ FOSS4G 2019

    First of all, thanks to everybody who attended our ohsome lab on OpenStreetMap History Analysis at last weeks FOSS4G in Bucharest. Even though there were eleven (!) tracks running in parallel, and our lab was not in the same location as the program track, we had some interested participants. Their affiliation ranged from public institutions […]

  • Exploring OSM history: the example of health related amenities

    Introduction Exploring how OpenStreetMap data developed over time across different administrative untis might reveal interesting insights into the self organizing approach of the OSM communities and can potentially be used to derive intrinsic data quality indicators. It might even be possible to estimate the completeness of OSM for a specific key-value combination as done by […]