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Tag Archive 'intrinsic quality analysis'

The GIScience Research Group at Heidelberg University and the Heidelberg Institute for Geoinformation Technology (HeiGIT) are happy to share the their GIScience github repository contains now already over 50 open source repositories and it’s still growing. These contain results from several research projects and in particular also some very active long term activities. Most of the tools [...]

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This Wednesday and Thursday we have presentations from the GIScience research group Heidelberg on two remote contintents - both in Africa and in Australia:
On Wednesday: First down under at GIScience Melbourne in Australia Rene Westerholt will present the work related to our PLATIAL18 workshop:

Westerholt, R., Gröbe, M., Zipf, A. and Burghardt, D. (2018): Towards the statistical analysis and [...]

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Recently a consultancy and development agreement about OpenStreetMap Analytics Development has been reached with the World Bank in the context of the Open Cities Africa project and the Global Facility for Disaster Reduction and Recovery (GFDRR) Open Data for Resilience Initiative (OpenDRI).
The main objective of this consultancy is to develop and implement new functionalities for OpenStreetMap [...]

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Disaster mapping activations that are supported by many volunteers with various levels of experience raise questions related to the quality of the provided Volunteered Geographic Information. Learning about the data quality that can be expected in a disaster activation helps to evaluate the quality and fitness for purpose of the OSM data.
At the ISCRAM 2018 [...]

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The Ohsome Nepal Dashboard has new features to enhance its usability and functionality. The user can now easily select administrative areas of interest through a new map interface. Different administrative levels can be selected by zooming in and out and afterwards just clicking or tapping on that specific region. This convenience feature makes it much faster [...]

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Recently we introduced the ohsome platform for OSM History Analytics. Now we want to give you a high-level overview of the ohsome platform and the components it consists of.
Ohsome API
The ohsome platform is based on a three-layers API architecture, where the flexibility, as well as the usage-complexity are increasing going from the top to [...]

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The growing use of crowdsourced geographic information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non‐experts. In a recently published work, we propose a taxonomy of methods for assessing the quality of CGI when no [...]

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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 relevant case [...]

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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 [...]

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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 to simple [...]

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