Exploration and comparison of geographic information sources using distance statistics
Christian Sengstock, Michael Gertz · 2011
Given the steadily increasing amount of geographic information on the Web, there is a strong need for suitable methods in exploratory data analysis that can be used to efficiently describe the characteristics of such large-scale, often noisy datasets. Existing methods in spatial data mining focus primarily on mining patterns describing spatial proximity relationships such as co-location patterns or spatial associations rules.