Tag: ohsome

  • GeoAI4Water 2 Applies Deep Learning to Detect Critical Infrastructure for Disaster Planning

    GeoAI4Water 2 Applies Deep Learning to Detect Critical Infrastructure for Disaster Planning

    Context During natural disasters and other catastrophic events, quickly identifying and distributing resources is essential. Even a brief delay in evacuating residents or sourcing water can significantly hamper relief efforts and prevent effective disaster management. The HeiGIT and GIScience teams have been actively designing tools to assist in disaster preparation and response, from working with partners to build community resilience to activating our disaster…

  • GeoPrompt – Revolutionizing Navigation and Beyond: HeiGIT’s Innovative Web Application Powered by ChatGPT

    Introduction In an era where technology continuously reshapes our world, the fusion of artificial intelligence and geospatial data offers exciting possibilities. HeiGIT (Heidelberg Institute for Geoinformation Technology), a pioneering research organization, has unveiled a novel web application that not only simplifies navigation but also empowers users to access a wealth of location-based data. This proof-of-concept…

  • Introducing OhsomeNowStats

    Introducing OhsomeNowStats

    OhsomeNowStats allows users to take a look at the mapping activity in OpenStreetMap. This is especially useful for humanitarian organizations and mapathon organizers, because OhsomeNowStats data is updated every 5-10 minutes. Using this tool, user-engagement can be tracked in near real time and used to motivate participants and volunteers alike! By selecting a time range,…

  • Analysis of Humanitarian OSM Stats: User activity through HOT-TM and contributing organizations

    Analysis of Humanitarian OSM Stats: User activity through HOT-TM and contributing organizations

    Introduction In this blogpost we are taking a look at humanitarian mapping through the Tasking Manager (HOT-TM) that is operated by the Humanitarian OpenStreetMap Team (HOT). At HeiGIT we work together with HOT to provide analyses and statistics to further understand mapping activity. Explore the user and mapping stats of all Tasking Manager activites here. Check our blog posts about topics…

  • Exploring the Value of Microsoft ML Roads for OSM Data Quality Analysis

    The completeness of the OpenStreetMap (OSM) road network has been an ongoing focus for researchers for more than 15 years. For instance, Neis et al. (2011) investigated the OSM street network evolution in Germany and compared it against road data from TomTom. Whereas obtaining reference data has been rather difficult in the past, nowadays we…

  • Version 1.0 of the ohsome quality API and ohsome dashboard

    At HeiGIT and in particular within the ohsome team, we strive to provide valuable insights into OpenStreetMap (OSM) data. The ohsome API offers aggregated statistics on the evolution of OSM elements since 2020. These are made easily accessible by the ohsome dashboard. With the ohsome quality API, previously called ohsome quality analyst (OQT), we continue…

  • Taginfo goes ohsome

    Did you know that the OpenStreetMap (OSM) taginfo site now lets you access the ohsome dashboard? This allows you to gain refined insights into the usage stats of specific keys and tags. Taginfo is the main source for statistics about keys, tags and current tag usage. In most cases, you have to acces a localized…

  • Visualizing OQT API Results in QGIS

    Using the ohsome dashboard, it is possible to explore quality estimation for OpenStreetMap (OSM) data from the ohsome quality analyst (OQT) for arbitrary regions. Also, OQT does provide an API to programmatically fetch quality estimation for a lot of different regions in one request. Chances are that one wants to visualize the results on a…

  • Introducing ohsomeNow stats: Real-Time Monitoring for OpenStreetMap Contributions

    Introducing ohsomeNow stats: Real-Time Monitoring for OpenStreetMap Contributions

    You can now monitor contributions to OpenStreetMap (OSM) in real time with ohsomeNow stats! We developed this new dashboard as part of our long-term cooperation with the Humanitarian OpenStreetMap Team (HOT), an international organization dedicated to humanitarian action and community development through open mapping. This dashboard replaces the Missing Maps Leaderboard with a comprehensive overview of…

  • Exploring OSM editor statistics by combining data from OSHDB and changeset DB

    Exploring OSM editor statistics by combining data from OSHDB and changeset DB

    OpenStreetMap (OSM) marks one of the most successful and powerful open source, crowdsourced geomaps, with over 10 million registered users by 2023. Since 2008 this number has increased steadily. In this blog post we want to look behind this success from the perspective of editing software used to add, modify and delete data in OSM.…

  • Integration of OQT into the ohsome dashboard: Computing data quality metrics for OpenStreetMap

    The ohsome dashboard has been and continues to be an easy access point to generate accurate statistics about the historical development of OpenStreetMap data for arbitrary regions. Now, the ohsome dashboard got extended to be able to compute data quality metrics for OpenStreetMap through the ohsome quality analyst (OQT) which is also developed by HeiGIT. The source code is now…

  • How to become ohsome part 15- Analysing Changes in OSM after the Earthquake in Syria and Türkiye in February 2023

    How to become ohsome part 15- Analysing Changes in OSM after the Earthquake in Syria and Türkiye in February 2023

    Featured Map: Percent change in each province of Türkiye  and Syria of buildings in OSM. Data from OpenStreetMap, visualized using QGIS and the ohsome API plugin. Welcome back to the how to become ohsome series! If you’re new to the series, you can check out the previous issues (like this one) or the ohsome Region of…