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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