Spatial data are an important source of scientific information. The development of high
capacity and fast desk and laptop computers and the concomitant creation of geographic …

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging
treatment of the field of spatial data analysis. It begins with an overview of spatial data …

Integrating a discussion of the application of quantitative methods with practical examples,
this book explains the philosophy of the new quantitative methodologies and contrasts them …

Outlines general ideas on fundamental issues related to the distinctive characteristics of
spatial data analysis as opposed to data analysis in general. Focuses on two issues that are …

The widespread use of Geographical Information Systems (GIS) has significantly increased
the demand for knowledge about spatial analytical techniques across a range of disciplines …

The development of specialized software for spatial data analysis has seen rapid growth
since the lack of such tools was lamented in the late 1980s by Haining (1989) and cited as a …

This chapter describes the special characteristics of spatial data and some features of the
field of spatial analysis. The origins of spatial analysis lie in the development in the early …

This essay assesses the evolution of the way in which spatial data analytical methods have
been incorporated into software tools over the past two decades. It is part retrospective and …

This volume is inspired by the many contributions of Arthur Getis to the field of spatial
analysis. In 2004, Arthur Getis formally retired as the Stephen and Mary Birch Foundation …

A spatial data set is a data set in which each observation is referenced to a site or area.
Within both the social and environmental sciences, much of the data collected is within a …