1st Edition
Statistical Methods for Spatial Data Analysis
504 Pages
81 B/W Illustrations
by
Chapman & Hall
506 Pages
81 B/W Illustrations
by
Chapman & Hall
512 Pages
81 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers... Read more
Introduction. Some theory on random fields. Mapped point patterns. Semivariogram and covariance function analysis and estimation. Spatial prediction and kriging. Spatial regression models. Simulation of random fields. Non-stationary covariance. Spatio-temporal processes.
Biography
Oliver Schabenberger, Carol A. Gotway
