Improving Density Estimation by Incorporating Spatial Information

Improving Density Estimation by Incorporating Spatial Information

Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density estimation, such as Kernel Density Estimation, do not incorporate geographical information. Using these methods could result...

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Bibliographic Details
Main Authors:	Andrea L. Bertozzi, George O. Mohler, Todd Wittman, Matthew S. Keegan, Laura M. Smith
Format:	Article
Language:	English
Published:	SpringerOpen 2010-01-01
Series:	EURASIP Journal on Advances in Signal Processing
Online Access:	http://dx.doi.org/10.1155/2010/265631

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