Spatial Autoregression (Sar) Model: Parameter Estimation Techniques

by Baris Kazar and Mete Celik

Explosive growth in the size of spatial databases has highlighted the need for spatial data mining techniques to mine the interesting but implicit spatial patterns within these large databases. This book explores computational structure of the exact and approximate spatial autoregression (SAR) model solutions. Estimation of the parameters of the SAR model using Maximum Likelihood (ML) theory is computationally very expensive because of the need to...

• Format: Paperback
• Language: English
• ISBN: 1461418410
• ISBN13: 9781461418412
• Release Date: March 2012
• Publisher: Springer
• Length: 73 Pages
• Weight: 0.29 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"