Tag: LBS
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OpenRouteService with Locations, SAC-scale and more!
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…
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Location-based sampling strategies for GPS-triggered electronic diaries
Self-reporting is a well-established approach within the medical and psychological sciences. In order to avoid recall bias, i.e. past events being remembered inaccurately, the reports can be filled out on a smartphone in real-time and in the natural environment. This is often referred to as ambulatory assessment and the reports are usually triggered at regular…
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Talk on Smart Urbanism by Prof. Matthew W. Wilson (Kentucky/Harvard): Quantified Self-City-Nation
We cordially invite everybody to an open presentation on our colloquium series tomorrow (Tuesday, 14.07.2015) at 10am by Dr. Matthew W. Wilson to the Department of Geography, Heidelberg University Lecture Hall EG, Berliner Straße 48, 69198 Heidelberg. The title of the talk is Quantified Self-City-Nation. New devices and techniques have emerged to better quantify an…
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Open Position Scientist / PostDoc: “People as Sensors”
We offer a new position in a new DFG project. More Info here.
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Open Data Opportunities for LBS
The advent of web technologies and the promotion of data sharing practices have fostered open data initiatives. The main motivation of governments in sharing data with the public is to stimulate economic growth by enabling the creation of new products. One of the areas that could benefit from open data initiatives is that of location-based…