Paperback. 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 spatial context and requires statistical analysis for interpretation. The purpose of this book, therefore, is to describe to students and research workers in the social and environmental sciences the current methods available for the analyses of spatial data. Methods described include data description, map interpolation, exploratory and explanatory analyses. The book also examines how spatial referencing raises a distinctive set of issues for the data analyst and recognizes the need to test underlying statistical assumptions. Further, methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. This book describes the methods available, including data description, map interpolation, and exploratory and explanatory analyses. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Spatial Data Analysis in the Social and Environmental Sciences (Paperback)
Publisher: Cambridge University Press, Cambridge
Publication Date: 1993
Language: English
ISBN 10: 0521448662
ISBN 13: 9780521448666
Binding: Paperback
Condition: new

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Synopsis

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 spatial context and requires statistical analysis for interpretation. The purpose of this book, therefore, is to describe to students and research workers in the social and environmental sciences the current methods available for the analyses of spatial data. Methods described include data description, map interpolation, exploratory and explanatory analyses. The book also examines how spatial referencing raises a distinctive set of issues for the data analyst and recognizes the need to test underlying statistical assumptions. Further, methods for detecting problems, assessing their seriousness and taking appropriate action are discussed.

Book Description

Data description, map interpolation, exploratory and explanatory analyses are among the methods described that are currently available for the analyses of spatial data to students and research workers in the social and environmental sciences.

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