We are back again with a fresh part of the How to become ohsome blog series. In case this 6th part of the series is your first one, or you have not heard from our awesome OpenStreetMap History Data Analytics Platform before (short form: ohsome platform), don’t worry. We’ve added some context, as well as [...]
Tag Archive 'data quality'
What does the tool behind the recently published documentation of the ohsome API have in common with a statue made of stones in Egypt? - Apart from the name, both are of course awesome (and now also ohsome). As previously announced, together with the open source release 1.0 of the ohsome API, we have published a [...]
ohsome API 1.0 is here
Posted in Uncategorized on Jun 19th, 2020
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
Posted in Events, OSM, Publications, Research, VGI Group on Feb 3rd, 2020
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 Participatory Mapping [...]
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
Posted in Events on Jan 12th, 2020
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
Posted in OSM, Press release, Research, VGI Group on Nov 4th, 2019
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 Volunteered [...]
Brownbag Presentation by Jennings Anderson (University of Colorado Boulder) on OpenStreetMap data analysis
Posted in Events, OSM, Research, Teaching, VGI Group on Oct 7th, 2019
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 contributor-centric research methods [...]
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 production events [...]
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, which was [...]