This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data. The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also: * Equips you with the tools to both interpret and apply spatial statistical methods * Engages with the unique considerations that apply when working with geographic data * Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection.

The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on: * why the analysis of spatial data needs separate treatment * the main areas of spatial analysis * the key debates within spatial analysis * examples of the application of various spatial analytical techniques * problems in spatial analysis * areas for future research Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.

This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data. The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also: * Equips you with the tools to both interpret and apply spatial statistical methods * Engages with the unique considerations that apply when working with geographic data * Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection.

Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics '101' focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: * Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. * New examples from physical geography and additional real-world examples. * Updated in-text and online exercises along with downloadable datasets. This is the only text you'll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.