Tag: intrinsic quality analysis

  • Upcoming Ohsome Conferences

    The Ohsome OSM history analytics platform, developed at HeiGIT, will be presented at the following conferences: ISCRAM in Rochester, NY, USA (20th – 23rd of May) In the short paper for the International Conference for Information Systems for Crisis Response and Management we illustrate the specific potential of the ohsome platform for disaster activations by means of two…

  • A brief intro to the OpenStreetMap History Database (OSHDB) API

    The OpenStreetMap History Database (OSHDB) is the main data backend developed at HeiGIT for the ohsome OSM history analytics platform, that will make OSM’s history data more accessible for further analysis. OpenStreetMap (OSM) is a rich resource of freely available geographic information. However, the possibilities for analyzing OSM data on a global scale are limited because of…

  • Let’s meet at SOTM 2018 :: Paper on OSM History Analytics Accepted in Academic Track

    A paper for the Academic Track of the State of the Map Conference, Milan, has been accepted. We are looking forward to discuss with you following aspects: A growing number of studies analyzes OSM data, its contributors, usage, and quality. Such studies were mostly limited to analyzing either small samples of the OSM database or…

  • Towards Using the Potential of OpenStreetMap History for Disaster Activation Monitoring

    Over the last years, the growing OpenStreetMap (OSM) database repeatedly proved its potential for various use cases, including disaster management. Disaster mapping activations show increasing contributions, but oftentimes raise questions related to the quality of the provided Volunteered Geographic Information (VGI). In order to better monitor and understand OSM mapping and data quality, HeiGIT developed…

  • Preview of the ohsome Nepal dashboard

    The ohsome OpenStreetMap history analytics platform, which is currently developed at HeiGIT, will make OSM’s full-history data more easily accessible. We are pleased to announce that we are coming closer to reaching our objectives, hereby sharing a preview of the first ohsome web dashboard. Our dashboards will allow you to explore OSM full-history data using…

  • Introducing the ohsome OSM History Analytics Platform

    The big spatial data analytics team at HeiGIT is currently developing the ohsome OpenStreetMap history analytics platform. Our aim is to make OSM’s full-history data more easily accessible for various kinds of data analytics tasks on a global scale. OpenStreetMap (OSM) is a freely available map of the world to which everyone may contribute geographic…

  • ECSA Webinar on #citizenscience for monitoring urban landscape dynamics with GIScience Heidelberg

    Join the next ECSA webinar on “Citizen Science for monitoring urban landscape dynamics”! The European Citizen Science Association (ECSA) will host a webinar on the topic of “Citizen Science for monitoring urban landscape dynamics”. The webinar will include two talks: Assessing urban green space in Vienna (by Gebhard Banko and Barbara Birli from the Austrian Environmental…

  • 10 years of OSM data history with OSM API 0.5

    As our HeiGIT / GIScience team member Martin Raifer (tyr_asd) pointed out at his OSM diary, this weekend is the 10 year anniversary of OSM’s API version 0.5. He stresses the importance of this as “This is the version of the OSM-API that introduced (among other things) the version number on all OSM objects, making…

  • GIScience contributions to 20th AGILE conference in Wageningen, Netherlands

    This year AGILE celebrated its 20th birthday and conference from May 10 – 12 at Wageningen University, Netherlands. The conference organizers chose “societal geo-information” to be the main theme of the research presented. The GIScience Research Group Heidelberg was represented by its members Tessio Novack, Franz-Benjamin Mocnik and Benjamin Herfort. On Tuesday, the day before…

  • Towards evaluating the mobile crowdsourcing of geographic information about human settlements

    Geographic information crowdsourcing is an increasingly popular approach to derive geographic data about human settlements from remotely sensed imagery. However, crowdsourcing approaches are frequently associated with uncertainty about the quality of the information produced. Although previous studies have found acceptable quality of crowdsourced information in some application domains, there is still lack of research about…

  • HeiGIT at FOSSGIS: today several presentations on OSM technology

    in case you are this week not at CeBIT in the north of Germany, but rather at FOSSGIS in the south, you have the chance meet us also there and listen to several presentations on OSM work at HeiGIT and GIScience HD by our team member Martin Raifer. The main talk will be on OSM-History-Analysis…

  • A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review

    Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information for different domains. Despite advantages associated with it, such information lacks quality assurance, since it is provided by different individuals. Several authors have investigated different approaches to assess CGI quality. Some of the existing methods have been summarized in different classification schemas.…