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Tag Archive 'POI'

The ORS Playground is an interactive API documentation application that allows the users to explore and interact with all the API services. The elements, inputs and forms are built from a swagger documentation file. Since the first release of the new OpenRouteService API Playground in November we have being worked on it to make some important improvements. A good part [...]

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As promised we offer some more examples on how to use Openrouteservice for some applications. In this notebook  example, we’d like to showcase one way to go about finding an apartment based on OSM data. We’ll using different openrouteservice API’s to help you look for an apartment.

Here is the full example with code and interactive [...]

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Several geospatial applications require comprehensive semantic information from points-of-interest (POIs). However, this information is frequently dispersed across different collaborative mapping platforms. Surprisingly, there is still a research gap on the conflation of POIs from this type of geo-dataset. In a recent paper by Novack et al. (2018), we focus on the matching aspect of POI [...]

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In the era of big data, ubiquitous Flickr geotagged photos have opened a considerable opportunity for discovering valuable geographic information. Point of interest (POI) and region of interest (ROI) are significant reference data that are widely used in geospatial applications. A recently published study (Kuo et al 2018) study aims to develop an efficient method [...]

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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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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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Due to the advent of Volunteered Geographic Information (VGI), large datasets of user-generated Points of Interest (POI) are now available. As with all VGI, however, there is uncertainty concerning data quality and fitness-for-use. Currently, the task of evaluating fitness-for-use of POI is left to the data user, with no guidance framework [...]

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