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Category Archive for 'OSM'

A recently published paper (Rousell & Zipf 2017) presents a prototype navigation service extending OpenRouteService (Schmitz et al. 2008) that extracts landmarks suitable for pedestrian navigation instructions from the OSM dataset based on several metrics.
In general, when providing instructions on how to get somewhere, people generally include landmarks in their instructions - “Turn left [...]

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Noise pollution is a growing problem in many urban environments, affecting citizens’ daily life. It can reduce citizens’ happiness, increase their stress, and even people them get sick if they are exposed to noise pollution for a long period of time. In recent studies we investigate the use of crowdsourced data to derive noise polluted [...]

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Research in psychology and public health shows that there are environmental factors that cause an area to impose more or less stress to a person. One example is that being surrounded by natural green areas (meadows, parks, trees and forests etc. or also blue water areas) has a relaxing influence to the mood of a [...]

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The programme of the AGIT Symposium 2017 in Salzburg is online now and it includes a first paper about the work at GIScience Heidelberg on OSMlanduse.org. It will be presented 6 July in the afternoon at AGIT Salzburg.
The talk is entitled “OSMLanduse Version 1″ while the full titel of the paper is:
Voß, J., M. Auer, [...]

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In the aftermath of natural disasters an assessment of the impact and damage in the affected area is crucial to enable coordination of response and recovery. While the disaster preparedness and response activations by the Humanitarian OpenStreetMap Team in regard to infrastructure mapping have already proven great potential in various disaster events, due to a [...]

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Several urban studies have been increasingly relying on spatial data provided by Volunteered Geographic Information (VGI) sources. The matching of features across different VGI projects may serve to assess and improve the reliability and completeness of VGI data. In a recent study, we first provide a short discussion on the similarity measures often used for [...]

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At the Annual Meeting 2017 of the DGPF (German Society for Photogrammetry, Remote Sensing and Geoinformation) GIScience Heidelberg will contribute three talks on 9 March 2017.

Citizen Science in Schulen: Entwicklung von 3D-MicroMapping zur Klassifikation von 3D-Punktwolken (Research Project: 3D-MAPP)
The Heidelberg LiDAR Operations Simulator HELIOS as a Supporting Tool for Capturing and Preserving Cultural Heritage [...]

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Deep learning techniques, esp. Convolutional Neural Networks (CNNs), are now widely studied for predictive analytics with remote sensing images, which can be further applied in different domains for ground object detection, population mapping, etc. These methods usually train predicting models with the supervision of a large set of training examples. However, finding ground truths especially [...]

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On Tuesday 17th January, the CAP4Access/MyAccessible.EU came to a close after three years with the successful completion of the final European Commission review meeting in Brussels. Reviewers were highly pleased with the outcomes of the project, both on the technical and societal fronts.
At GIScience in Heidelberg, through the EC FP7 project we have extended the [...]

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When using routing services that rely on OpenStreetMap data, the route engine might suggest you a path that seems to be longer than the shortest possible route you could identify on the map. The main reason behind this are either a lack of data completeness in OSM (for certain data attributes/ for certain regions) or [...]

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