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Tag Archive 'OSM'

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 based [...]

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The set of interactive visualizations “OSMvis” from our GIScience HD team member Franz-Benjamin are now online at: http://osm-vis.geog.uni-heidelberg.de.
Nice work Franz-Benjamin!
OSMvis is a collection of visualizations related to OpenStreetMap (OSM), in particular the OSM database, the OSM wiki, and the use of OSM data in general. OSMvis aims at exploring the generation, modification, and use of OSM [...]

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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. [...]

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Together with Heidelberg Mobil International (HDMI) our new Heidelberg Institute for Geoinformation Technology (HeiGIT) will be represented at the CeBIT in Hannover within the Smart City Forum this month from the 20-24th of March.
In this context we will be focusing on transportation and navigation as an example which must meet a wide range of [...]

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Within wayfinding and navigation tasks, the use of landmarks has been found to be a key aspect. In particular pedestrian instructions should focus on the delivery of “landmarks” to aid in navigation. Still the use of landmarks is not common in many navigation systems. The salience of features is an important aspect of whether they [...]

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Recently we introduced the website OSMlanduse.org . This week it is featured as “Image of the Week” in the OSM Wiki. Thanks a lot for the recognition! It is already the second OSM Wiki image of the week from GIScience Heidelberg in this short year,as in week 4 OSMvis from our group member Franz-Benjamin was [...]

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Last month GIScience Heidelberg (Prof. Zipf) participated in the First United Nations World Data Forum. This was a high level event including many organisations that generate and analyse data related to achieving the UN Sustainable Development Goals of the UN 2030 Agenda for Sustainable Development.
For this we need a huge amount of data about [...]

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The Special Issue on “Crowdsourced Mapping” of the international journal “Cartography and Geographic Information Science” is online. Here you can read the editorial.
Further this issue includes our paper on Deriving incline values for street networks from voluntarily collected GPS traces. When producing optimal routes through an environment, considering the incline of surfaces can be of [...]

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During last weeks LandSense stakeholder at IIASA workshops various tools relevant for VGI data capture, Quality assessment and beyond were discussed. Potential hotshots for validation and improvement of OSMLanduse were FotoQuest and LacoWiki. Also discussed were platforms for hobby bird fans or for spatial data geeks.
http://www.geog.uni-heidelberg.de/gis/land_sense.html
http://osmlanduse.org

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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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