An automatic method for scoring the positional likelihood of POIs in OSM

Alireza Kashian’s work on automatically assessing the likelihood that a point of interest (category) will be located at a selected location in a city has been accepted at the ISPRS¬†International Symposium on Spatial Data Quality in Wuhan, China.

The paper presents the general approach and illustrates it using ATMs in Paris as an example; the full title is “Automatic Method for Scoring the Positional Accuracy of POIs in OpenStreetMap” by Alireza Kashian, Abbas Rajabifard, Yiqun Chen, Kai-Florian Richter

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