GIS and Statistical Analysis with Arcview
John Wiley & Sons Inc (Verlag)
978-0-471-34874-0 (ISBN)
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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.
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.
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
| Erscheint lt. Verlag | 16.1.2001 |
|---|---|
| Zusatzinfo | Illustrations, maps |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 160 x 240 mm |
| Gewicht | 397 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| ISBN-10 | 0-471-34874-0 / 0471348740 |
| ISBN-13 | 978-0-471-34874-0 / 9780471348740 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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