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Tag Archive 'OSM'

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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VGI-Analytics 2017 is the 4th workshop in a series of AGILE pre-conference workshops
Volunteered Geographic Information (VGI) and social media data have become part of our everyday lives over the past few years. Whereas in the early beginnings of crowd-sourced data the collection occurred primarily to isolated, individual platforms, contribution patterns are now beginning to be more [...]

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We have been busy working on some new features within the OpenRouteService which are especially suited for bicyclists. For starters we introduced an electronic bicycle profile which especially comes in handy for accessibility analyses considering elevation information.
To this end you will notice that inclines will not have such a large impact on the reachability compared [...]

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you are most welcome to participate in our first 2017 OSM Mapathon at the Institute of Geography, Heidelberg University.
The data is needed by MSF/Doctors without Borders/Ärzte ohne Grenzen for their work on medical services in Sudan.
Here you can find further Information in detail.
When: Thursday. 19.01.2017, 18:00 pm
Where: Hörsaal, Berliner Straße 48, Heidelberg University, Institute [...]

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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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On Thursday, 08.12.2016, a Christmas mapping party took place at the Geographical Institute of Heidelberg University. Karakol, a city in the Kyrgyz Republic was herein mapped in cooperation with the German Research Centre for Geosciences (GFZ-Potsdam).
Supported by the World Bank, the Bishkek-based Central Asian Institute of Applied Science (CAIAG) and the GFZ [...]

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