Includes index.

Volume 2. Chapter 1: Introducing spatial measurements and statistics -- What are spatial measurements and statistics? -- Geographic analysis with statistics -- A closer look: Understanding data distributions -- Chapter 2: Measuring geographic distributions -- Why measure geographic distributions? -- Finding the center -- Measuring the compactness of the distribution -- Measuring orientation and direction -- A closer look: Testing statistical significance -- Chapter 3: Identifying patterns -- Why identify geographic patterns? -- Using statistics to identify patterns -- Measuring the pattern of feature locations -- Measuring the spatial pattern of feature values -- A closer look: Defining spatial neighborhoods and weights -- Chapter 4: Identifying clusters -- Why identify spatial clusters? -- Using statistics to identify clusters -- Finding clusters of features -- Finding clusters of similar values -- A closer look: Using statistics with geographic data -- Chapter 5: Analyzing geographic relationships -- Why analyze geographic relationships? -- Using statistics to analyze relationships -- Identifying geographic relationships -- Analyzing geographic processes.

Spatial measurements and statistics give you a powerful way to analyze geospatial data, but you don't need to understand complex mathematical theories to apply statistical tools and get meaningful results in your projects. This book introduces readers to basic statistical concepts and some of the most common spatial statistics tasks: measuring distributions, identifying patterns and clusters, and analyzing relationships. Explore how spatial statistical tools can be applied in a range of disciplines, from public health to habitat conservation. Learn how to quantify patterns beyond visualizing them in maps. Examine spatial clusters through an updated chapter on identifying clusters. Use The Esri Guide to GIS Analysis, Volume 2, second edition, to understand the statistical methods and tools that can move your work past mapping and visualization to more quantitative statistical assessment.