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...

书目详细资料
Main Authors:	Andrea L. Bertozzi, George O. Mohler, Todd Wittman, Matthew S. Keegan, Laura M. Smith
格式:	文件
语言:	English
出版:	SpringerOpen 2010-01-01
丛编:	EURASIP Journal on Advances in Signal Processing
在线阅读:	http://dx.doi.org/10.1155/2010/265631

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