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Tag Archive 'OSM'

Last week, our colleagues Franz-Benjamin Mocnik and René Westerholt participated in a summer school of the DFG priority programme on “VGI”. GIScience Heidelberg is involved in that programme by two projects, one of which is dealing with data quality issues and another one that investigates the assessment of spatial assotiations in social media data. The [...]

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We are currently guest-editing a special issue on “urban geoinformatics” in the Taylor & Francis journal “Geo-Spatial Information Science”. On this occasion, we’d like to encourage you to submit your crowdsourcing-related work emphasizing urban issues:
Title: Crowdsourcing for Urban Geoinformatics
Deadline: 30 October 2017
Guest editors:
Hongchao Fan, Wuhan University, (hongchao.fan@whu.edu.cn)
João Porto de Albuquerque, University of Warwick, (J.Porto@warwick.ac.uk)
René Westerholt, [...]

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The second noteworthy news this week is that we have finally introduced the much-awaited time-distance matrix service with which you can finally compute one-to-many, many-to-one or many-to-many routes for any mode of transport provided by OpenRouteService. This service basically provides a terribly fast computation of time and distance between a set of input locations. Let’s [...]

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Less restrictions; added SAC
In the past you might have noticed that by using dynamic options - for instance avoidables or vehicle characteristics - your routes were restricted to a much smaller distances than without using any kind of profile parameters. The latest version of the API resolves this issue and lets you compute routes up [...]

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We are happy to hereby announce the official partnership of the HeiGIT/GIScience Research Group Heidelberg and the Humanitarian OpenStreetMap Team (HOT)!
The GIScience Research Group at Heidelberg University has been supporting the use of OpenStreetMap for humanitarian and disaster management purposes already since 2008 when the first instance of the Disaster and Emergency OpenRouteService was developed [...]

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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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Recently Barrons studied the effect of Amazon.com buying Whole Foods for US$13.7 billion. They used the OpenRouteService Isochrones API for an detailed accessibility analysis of the whole US. With OpenStreetMap based OpenRouteService and US Census data they calculated how much US population is covered within different driving times from the US wide network of the 444 Whole [...]

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In the aftermath of a disaster, knowing the condition of buildings, infrastructure, and utilities is critical to both immediate response and long-term recovery efforts. The Humanitarian OpenStreetMap Team (HOT) is often asked to help identify damage to buildings and other assets in the affected region. In the past, limitations in post-disaster [...]

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Using data generated from the crowd has become a hot topic for several application domains including transportation. However, there are concerns regarding the quality of such datasets. As one of the most important crowdsourced mapping platforms, in a recent study (1) we analyze the fitness for use of OpenStreetMap (OSM) database for routing and navigation [...]

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Some of the results from our research are transformed into stable and professionally managed services, that are used by the wider public. A prominent example is OpenRouteService.org. Since it’s introduction in early 2008 it has been transformed now to a rigorously tested rich API that is hosted on a cloud system and that can be [...]

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