First published in 1981, Introductory Spatial Analysis uses ideas from dimensional analysis and stochastic process theory to provide a consistent, logical framework for map analysis. ‘Geography is about maps’, so the saying goes, yet there is no other textbook for geography students that combines the discussion of maps with a treatment of quantitative methods of map analysis. This book differs from most other quantitative or cartographic geography texts in three respects: first it is a geography, not a statistics book, and therefore problems are examined by looking at the types of data used and the varieties of maps drawn and then at the analytical procedures that may be used to detect significant spatial patterns; second, no attempt is made to introduce tests that treat data without reference to their spatial location; and third, no advice is offered on specifically cartographic questions of map drawing and design.
David Unwin’s text will serve as a valuable introduction to the techniques of spatial analysis that are so important in contemporary geographical study.
First published in 1981, Introductory Spatial Analysis uses ideas from dimensional analysis and stochastic process theory to provide a consistent, logical framework for map analysis.
