Category: VGI Group

  • 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…

  • Letzte Vorbereitungen: Start der MS Wissenschaft am 16. Mai 2019

    Mitmach-Exponate direkt aus der Forschung geben in der Ausstellung auf der MS Wissenschaft 2019 Einblicke in die Entwicklung und Anwendung Künstlicher Intelligenzen (KI). Die MS Wissenschaft startet ihre Tour am 16. Mai 2019 in Berlin und besucht Ende August auch Heidelberg. Das Exponat „Mensch Maschine – Forschung im Team“ zeigt wie Trainingsdaten für KI-Algorithmen erstellt…

  • HeiGIT/GIScience at Global Platform for Disaster Risk Reduction and Multi Hazard Early Warning Conference

    Middle of May, Geneva becomes the gathering place for citizens, political leaders, government institutions, private sector, civil society, and scientific and technical institutions, that all jointly work towards a big objective – to manage disaster risk. In line with the Sendai Framework, the conference is focusing on and strengthening the shift from the management of…

  • openrouteservice for Disaster Management: Response to Cyclone Idai

    The Humanitarian OpenStreetMap Team (HOT) has launched an activation to support humanitarian operations responding to the impact of Cyclone Idai. These efforts were already supported by more than 1500 mappers of the global OpenStreetMap (OSM) community that contribute geodata about the affected regions in Mozambique and the surrounding countries. The team at HeiGIT (Heidelberg Institute for…

  • HeiGIT supports Citizien Science @ Helmholtz ThinkCamp

    We are always happy to support citizen science projects at the HeiGIT. HeiGIT/ GIScience efforts already range from tools that assess the data quality of citizen science projects (see, e.g., this blog post about “Plausible Parrots“) to approaches related to data creation, like MapSwipe Analytics (learn more here). Currently, we are supporting citizen science approaches…

  • Preview: Spatial Joins using the OpenStreetMap History Database OSHDB

    Max is two and loves spending Monday afternoons with his Dad at the playground. Finding a suitable playground however isn’t easy, since a few criteria must be met: there should be a bench and some trees nearby to get shelter from the sun and an ice cream shop within the neighbourhood. Using the new spatial…

  • Global analyses are ohsome

    We, the Big Spatial Data Analytics Group at HeiGIT have ohsome news to share: From now on, you can send your requests to our global ohsome API instance. So far, we’ve had a public instance for Nepal and Germany, but now you can analyse OSM’s history globally. Additionally to the API, we also have a global dashboard instance. You choose any…

  • The influence of the OSM mappers’ cultural backgrounds on their mapping behavior

    In order to analyze the quality of OSM data, a study at GIScience Heidelberg investigated the influence of the mappers’ cultural backgrounds on their mapping behavior and hence questioned the general validity of semantic (street) classifications in OSM. Nepal was hit by a series of earthquakes in April 2015. The OSM community quickly reacted by…

  • Empower Humanitarian Mapping with Deep Neural Networks to Detect Human Settlements

    Recently, earth observation by satellites has shown great capability in supporting a range of challenges such as disaster assessment, agriculture monitoring, and humanitarian mapping. MapSwipe, as a humanitarian mapping app, provides a crowdsourcing platform to collect volunteered geographical information (VGI), in order to generate the demanding base map of human settlements for better planning of…

  • Put the world’s most vulnerable people on the map with MapSwipe

    Humanitarian organizations can’t help people if they can’t find them. This was the simple reason to create MapSwipe back in 2016 and it is still as pressing as in the very beginning. In the last 2,5 years volunteers have contributed more than 18,000,000 results, which help humanitarian organizations to create maps of human settlements and…

  • HeiGIT and German Red Cross representation at DLR Humanitarian Technology Days 2019

    Last week, Michael Schultz (GIScience Research Group) attended the Humanitarian Technology Days 2019 that was organized by the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt, DLR) as a representative of the GIScience Research Group/ HeiGIT and of our collaboration with German Red Cross. For two days, around 80 scientists, humanitarian actors and funding…

  • Usability of Flickr tags for land use/land cover attribution

    A new study has been published in the international open access journal Geo-spatial Information Science (GSIS, Taylor & Francis), that explores the land use/land cover (LULC) separability by the machine-generated and user-generated Flickr photo tags (i.e. the auto-tags and the user-tags, respectively), based on an authoritative LULC dataset for San Diego County in the United…