GIS and Statistical Analysis with Arcview
Published on 29. December 2000
Book
Hardback
208 pages
978-0-471-34874-0 (ISBN)
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.
Reviews / Votes
"...a very practical introductory book." (URISA Journal, Fall 2001/ Spring 2002)More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations, maps
Dimensions
Height: 240 mm
Width: 160 mm
Weight
397 gr
ISBN-13
978-0-471-34874-0 (9780471348740)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Jay Lee | David W. S. Wong
Statistical Analysis of Geographic Information with ArcView GIS and ArcGIS
Book
11/2005
Wiley
€151.50
Available immediately
Persons
Jay Lee, PhD, is Associate Professor of Geography at Kent State University in Ohio and served as associate editor of the Wiley journal, Applied Geographic Studies. David W.S. Wong, PhD, is Associate Professor of Earth Sciences at George Mason University in Fairfax, Virginia.
Content
1. Attribute Descriptors; 1.1 Central Tendency; 1.2 Dispersion and Distribution; 1.3 Relationship; 1.4 Trend; 2. Point Descriptors; 2.1 The Nature of Point Features; 2.2 Central Tendency of Point Distributions; 2.3 Dispersion of Point Distributions; 2.4 Application Examples; 2.4.1 References; 3. Pattern Detectors; 3.1 Scale, Extent, and Projection; 3.2 Quadrat Analysis; 3.3 Nearest Neighbor Analysis; 3.4 Spatial Autocorrelation; 3.5 Application Examples; 3.5.1 References; 4. Line Descriptors; 4.1 The Nature of Linear Features; 4.2 Characteristics and Attributes of Linear Features; 4.3 Directional Statistics; 4.4 Network Analysis; 4.5 Application Examples; 4.5.1 References; 5. Pattern Descriptors; 5.1 Spatial Relationships; 5.2 Spatial Autocorrelation; 5.3 Spatial Weights Matrices; 5.4 Types of Spatial Autocorrelation Measures and Some Notations; 5.5 Joint Count Statistics; 5.6 Moran and Geary Indices; 5.7 General G-Statistic; 5.8 Local Spatial Autocorrelation Statistics; 5.9 Moran Scatterplot; 5.10 Application Examples; 5.11 Summary; 5.11.1 References; Index