Category: Allgemein

  • Join The Team: Senior Spatial Data Scientist for Climate Action

    (m/f/d, up to 100%) You are a highly motivated person who loves spatial data science? You want to use your expertise for the benefit of society and the environment – in particular stimulating Climate Action? You want to improve the availability and quality of geographic information for Climate Action and develop geoinformatics methods used for…

  • Join The Team: Community engagement, outreach & partnership manager (for) Climate Action

    (m/f/d, up to 100%) You are a highly motivated person who loves spatial data science? You want to use your expertise for the benefit of society and the environment – in particular stimulating Climate Action? You want to improve the availability and quality of geographic information for Climate Action and develop geoinformatics methods used for…

  • OEV: Indicator Correlations (4/4)

    After introducing the OSM Element Vectorisation Tool last week, we now want to show possible use cases and specific examples of what the tool can do. This third and last example will look at the correlations between indicators. The goal is to first assure that the indicators measure distinct data attributes and then search for interesting or…

  • OEV: Quantifying differences between imports (3/4)

    After introducing the OSM Element Vectorisation Tool last week, we now want to show possible use cases and specific examples of what the tool can do. This second of three use cases (see use case 1) compares the data in the regions of Maribor, Slovenia and Ngaoundéré, Cameroon. Both regions are exceptionally well covered with land-use and land-cover information in OSM.…

  • OEV: Analysing attributes of remarkable elements (2/4)

    After introducing the OSM Element Vectorisation Tool earlier this week, we now want to show possible use cases and specific examples of what the tool can do. This first of three use cases takes a closer look at the data in the region of Heidelberg, Germany. We will use the concept of archetypes to identify…

  • HeiGIT and GIScience at AGILE 2023

    Earlier this month, the Association of Geographic Information Laboratories in Europe (AGILE) held its 2023 conference, and GIScience and HeiGIT team members contributed presentations, analyses and papers toward this year’s theme of “Spatial data for design.” At the conference’s host university Delft University of Technology (TU Delft) in the Netherlands, the team members contributed work uniting design…

  • OSM Element Vectorisation Tool Version 1

    OSM Element Vectorisation Tool Version 1

    The IDEAL-VGI research project is nearing its end. And while that won’t be the end of our research into social data sources, data quality analyses and land-use information, we are happy to announce a major outcome: the version 1 release of the OSM Element Vectorisation Tool (OEV). The tool was first presented to the public…

  • Öffentlicher Vortrag am 16. Mai: Klimawandel, Mobilität und das steigende Risiko von Infektionskrankheiten in Deutschland

    Öffentlicher Vortrag am 16. Mai: Klimawandel, Mobilität und das steigende Risiko von Infektionskrankheiten in Deutschland

    Am Dienstag, den 16. Mai, werden die Besuchenden des öffentlichen Vortrags “Klimawandel und Infektionskrankheiten in Bezug auf Gesundheitswesen und Mobilität” Einblicke von fünf Experten erhalten, die derzeit Pionierarbeit bei der Erforschung einer der größten Bedrohungen für die öffentliche Gesundheit in Deutschland leisten. Die Veranstaltung findet in deutscher und englischer Sprache im Mathematik-Hörsaal im Erdgeschoss des…

  • Introducing the VirtuaLearn3D Project

    With VirtuaLearn3D (Virtual Laser Scanning for Machine Learning Algorithms in Geographic 3D Point Cloud Analysis), a new project of the 3DGeo group has started. The focus of this project is to enable powerful machine learning algorithms for geographic point cloud analysis by advancing the concept of virtual laser scanning to overcome the lack of training…

  • Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data

    Since the transportation sector is one of the major greenhouse gas (GHG) emitters that has not seen significant emission reductions in the last decades, it requires special attention from policymakers. However, estimations of traffic emissions often rely on huge amounts of actual traffic data whose availability is limited. Therefore, Ulrich et al. now propose an…

  • Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe

    Natural hazards threaten millions of people all over the world. To address this risk, exposure and vulnerability models with high resolution data are essential. However, in many areas of the world, exposure models are rather coarse and are aggregated over large areas. Although OpenStreetMap (OSM) offers great potential to assess risk at a detailed building-by-building…

  • CharAct4D – Unravelling Landscape Dynamics via Automatic Characterization of Surface Activity using Geographic 4D Monitoring

    With her new project CharAct4D Dr. Katharina Anders has become part of the Eliteprogramme for Postdocs of the Baden-Württemberg Stiftung, which supports early career researchers to qualify for a professorship -check the related press release by Heidelberg University. Many congratulations, Katharina! Katharina’s research interests in the 3DGeo research group are method development for 3D/4D change analysis…