"...a very practical introductory book." -- URISA Journal, Fall 2001/ Spring 2002
Product Description
Statistical techniques for dealing with quantitative data are important tools for every geographer. This is the first book to bring the traditional tools of quantitative geography into the GIS environment. Up to this point, existing books have relied on older software not widely found in a geography context. This brand new resource teaches professionals and students alike how to use their software in applying established statistical techniques.
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Inside This Book
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First Sentence:
The world we live in is a complex and dynamic one. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
joint count statistics, standard distance circle, minimally connected network, weighted mean center, centrographic measures, linear geographic features, directional mean, binary connectivity matrix, negative spatial autocorrelation, spatial weights matrices, observed average distance, measuring spatial autocorrelation, standard deviational ellipse, spatial autocorrelation coefficient, observed point pattern, spatial autocorrelation statistics, detecting spatial patterns, circular variance, positive spatial autocorrelation, spatial weights matrix, feature attribute table, releasing copper, white polygons, median housing values, simple line segment Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Geary's Ratio, Geary Ratio, Montgomery County, Geauga County, Get Input, Field Calculator, City Name, Add Theme, Gamma Index, Loudoun County, Open Project, New Jersey, Ashtabula County, Central American, Table of Contents, View Properties, Add Field, Bureau of the Census, East Anglia, Economic Geography, Humberside East Midlands, Low Brazil, New York, North West New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The world we live in is a complex and dynamic one. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
joint count statistics, standard distance circle, minimally connected network, weighted mean center, centrographic measures, linear geographic features, directional mean, binary connectivity matrix, negative spatial autocorrelation, spatial weights matrices, observed average distance, measuring spatial autocorrelation, standard deviational ellipse, spatial autocorrelation coefficient, observed point pattern, spatial autocorrelation statistics, detecting spatial patterns, circular variance, positive spatial autocorrelation, spatial weights matrix, feature attribute table, releasing copper, white polygons, median housing values, simple line segment Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Geary's Ratio, Geary Ratio, Montgomery County, Geauga County, Get Input, Field Calculator, City Name, Add Theme, Gamma Index, Loudoun County, Open Project, New Jersey, Ashtabula County, Central American, Table of Contents, View Properties, Add Field, Bureau of the Census, East Anglia, Economic Geography, Humberside East Midlands, Low Brazil, New York, North West New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 9
books:
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- Spatial Autocorrelation (Scientific Geography Series) by John D. Odland on page 135, and page 189
- Geography of Transportation by Edward James Taaffe on page 131
- Statistical Analysis for Geographers by Daniel A. Griffith on page 90
- Quantitative Methods in Geography by Peter J. Taylor on page 90
- Principles of Geographical Information Systems (Spatial Information Systems) by Peter A. Burrough in Front Matter
See all 9 books this book cites
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