– Addresses statistical testing in the presence of spatial autocorrelation and dependence.
– Explores the scientific and policy context and the fundamental nature of spatial data. Spatial Data Analysis: Theory and Practice
– Focuses on statistical models used to analyze complex spatial variations. Key Features – Addresses statistical testing in the presence of
is a seminal textbook by Robert P. Haining , first published by Cambridge University Press in 2003. It provides a comprehensive framework for understanding how location and place influence scientific and policy-related research. Core Content and Structure Spatial Data Analysis: Theory and Practice
– Details visualization and numerical methods for exploring spatial patterns.
The text is divided into five main parts that guide the reader from the fundamental nature of spatial data to advanced statistical modeling: