Tag: data quality

  • ohsome API 1.0 is here

    As we’ve announced it in a previous post, the Open Source release 1.0 of the ohsome API has finally arrived. As a reminder, or for those of you that hear “ohsome” for the first time, the aim of the ohsome OpenStreetMap History Data Analytics Platform is to make OpenStreetMap’s full-history data more easily accessible for various kinds…

  • GIScience Contributions to the 2019 State of the Map Academic Track proceedings

    Recently the SOTM 2019 Heidelberg Academic Track Proceedings have been published. GIScience Research Group Heidelberg and HeiGIT contributed several talks and posters. Below you can find an overview. Contact us if you are interested in further details on ongoing research. Klonner, Hartmann, Djami, Zipf, A. (2019). “Ohsome” OpenStreetMap Data Evaluation: Fitness of Field Papers for…

  • ohsome presentation in Malta at the 3rd International Workshop on Spatial Data Quality

    Around 55 participants gathered in Malta for the 3rd International Workshop on Spatial Data Quality 2020 from 28th to 29th of January. Among national mapping agencies, software providers and standardization organizations, HeiGIT had the opportunity to present its ohsome – OSM history analytics platform for analyzing spatial data quality by looking at the temporal development…

  • Recap: Keynote on Smart Cities

    Already in October 2019 Prof. Zipf was invited to give a keynote on “User Generated Geoinformation for Smart Cities” at the “Smart Cities, Smart Data, Smart Governance” ISPRS Conference at CEPT University in Ahmedabad (known for the Gandhi-Ashram), where he also participated as speaker in the inaugural session and acted as session chair for a…

  • New DFG project: IdealVGI – Deep Learning with OSM

    Recently a new DFG project proposal was accepted to the GIScience Research Group Heidelberg within the DFG priority programme VisVGI (Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]). It is joint collaboration project together with Prof. Begüm Demir from TU Berlin. IDEAL-VGI: Information Discovery from Big Earth Observation Data Archives by Learning from…

  • Brownbag Presentation by Jennings Anderson (University of Colorado Boulder) on OpenStreetMap data analysis

    We cordially invite you to a Brownbag presentation by our Guest Researcher Dr. Jennings Anderson! When? Tuesday, 8/10/2019, 1-2.30 pm Where? Seminar room 15, INF 348 Jennings is a postdoctoral researcher at the University of Colorado Boulder exploring new approaches to analytical infrastructures for big, peer-produced geospatial datasets, specifically OpenStreetMap. His dissertation work involved designing…

  • Program of Academic Track for State of the Map 2019 Heidelberg is online

    Also the program of the “Academic Track” for ‘State of the Map‘ (SotM) as been released now. Early bird ticket prices are still available until 7th of July. See the website for all the details: 2019.stateofthemap.org Two contributions are by members of the GIScience Research Group Heidelberg: Analyzing the spatio-temporal patterns and impacts of large-scale data…

  • Successfull PhD Defence by Clemens Jacobs on Plausibility Estimation of Citizen Science Observations for Biodiversity

    Last week Dr. Clemens Jacobs successfully defended his PhD about methods for assessing the data quality of citizen science observations of organisms. Congratulations, well done!!! We wish all the very best for the future! The research aimed at using geographic context as an information source for estimating the plausibility of an observation, e.g., of a bird,…

  • Sonniges „meinGrün“ Konsortiumstreffen in Heidelberg

    Letzte Woche fand das zweite große Konsortiumstreffen im Projekt „meinGrün“ in Heidelberg statt. Zusammen mit unseren Projektpartnern vom IÖR , DLR , ISB AG , dem Institut für Kartographie der TU Dresden , Terra Concordia (mundraub.org) und Urbanista haben wir zwei Tage lang an der Weiterentwicklung unserer App gearbeitet, welche es Bürgerinnen in Heidelberg und…

  • 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…

  • Analysing semantic associations in VGI data

    Volunteered Geographic Information (VGI) such as OpenStreetMap (OSM) can be a rich resource for many applications. Therefor VGI-projects have to mitigate between the requirements of the the volunteers and the machines. On the one hand, the data format should be simple and general in order to make contributing to the project easy for the volunteers.…

  • Plausible Parrots – HeiGIT’s OSHDB Supports Research in Citizen Science Data Quality

    In the GIScience research group at Heidelberg University, a recent PhD research project by Clemens Jacobs has been looking into the data quality of citizen science observations of organisms. This research aims at using geographic context as an information source for estimating the plausibility of an observation, e.g., of a bird, which was reported to…