INTRODUCTION The Need for Spatial Analysis Types of Spatial Data Autocorrelation-Concept and Elementary Measures Autocorrelation Functions The Effects of Autocorrelation on Statistical Inference Chapter Problems SOME THEORY ON RANDOM FIELDS Stochastic Processes and Samples of Si…
"Statistical methods for spatial data analysis play an ever-increasing role in the toolbox of the statistician, scientist, and practitioner. This comprehensive, illustrative treatment forms an outstanding introduction to this fast-growing area of statistics and is suitable both …
Spatial statistics -- one of the fastest growing areas of statistics -- has applications across a wide range of disciplines. Statistical Methods for Spatial Data Analysis takes a model-based approach and covers the theory and applications of all three major types of spatial data…
"Statistical methods for spatial data analysis play an ever-increasing role in the toolbox of the statistician, scientist, and practitioner. This comprehensive, illustrative treatment forms an outstanding introduction to this fast-growing area of statistics and is suitable both …
A clearly written analytical text covering the theory and applications of the three major types of spatial data. It adopts a modelling approach tying the material into well known areas and includes background material from stochastic process theory.
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 speciali…
"Statistical methods for spatial data analysis play an ever-increasing role in the toolbox of the statistician, scientist, and practitioner. This comprehensive, illustrative treatment forms an outstanding introduction to this fast-growing area of statistics and is suitable both …