Spatial analysis is a type of geographical analysis which seeks to explain patterns of human behavior and its spatial expression in terms of mathematics and geometry, that is, locational analysis. Examples include nearest neighbor analysis and Thiessen polygons. Many of the models are grounded in micro-economics and predict the spatial patterns which should occur, in, for example, the growth of networks and urban systems, given a number of preconditions such as the isotropic plain, movement minimization, and profit maximization. It is based on the tenet that economic man is responsible for the development of the landscape, and is therefore subject to the usual criticisms of that concept, such as the lack of free will.
New methodologies of spatial analysis include geocomputation and spatial statistical theory.
A Dictionary of Geography. Susan Mayhew. Oxford University Press, 2004. Oxford Reference Online. Oxford University Press. Dartmouth College. 6 October 2005
Spatial analysis as a subject term is not used in the online catalog. Instead, spatial analysis (statistics) is used. The term "statistics" is used to qualify or narrow the scope of the term. From the online catalog, you will find a over 70 resources that have to do with spatial analysis (statistics). Some of these volumes are more technical in nature and concentrate more on the mathematics involved in spatial analysis.
Most of these books are located in G 70.2 through G 70.4 in the Baker Stack Annex A.
The following are just some of the books in the Library's collection.
These books include several articles on Spatial Analysis.
Below are resources where you can find articles about spatial analysis. I've included a journal dedicated to applied spatial analysis. You can also use the Summon box below.
Dartmouth Users: Using Summon from off-campus? You'll need VPN for access to full-text.