S+SpatialStats: User's Manual for Windows and UNIX

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S. P. Kaluzny
Springer Science & Business Media, Jan 1, 1998 - Mathematics - 327 pages
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S+SPATIALSTATS is the first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modeling of spatially correlated data. It can be used to analyze data arising in areas such as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially. This users manual provides the documentation for the S+SPATIALSTATS module.
  

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Contents

Introduction to Spatial Data and S+SPATIAL STATS
1
111 Geostatistical Data
2
113 Spatial Point Patterns
4
12 Analysis of Spatial Data
5
123 Stationarity
6
13 Stochastic Model for Spatial Data
7
15 Limitations
9
Getting Started with S+SPATIAL STATS
10
53 Spatial Regression Models
128
532 Fitting Spatial Linear Models
129
533 Model Selection
134
534 Model Diagnostics
136
54 Simulating Lattice Data
144
Analyzing Spatial Point Patterns
146
61 Objects of Class spp
147
62 Measures of Spatial Randomness
149

21 Starting and Quitting S+SPATIALSTATS
11
211 Organizing Your Working Data in UNIX
12
213 Organizing Your Working Data in Windows 95
14
22 Getting Help for S+SPATlALSiATS Functions in Windows
15
24 Using Trellis Graphics in S+SPATIALSTATS
16
252 Importing and Exporting GEOEAS Data
17
Visualizing Spatial Data
18
311 Descriptive Statistics
19
312 Plots and Graphics
21
313 Classification and Clustering Methods
27
32 Applications of EDA to Geostatistical Data
33
Nongridded Data
39
33 Applications of EDA to Lattice Data
48
34 Applications of EDA to Point Patterns
57
35 Hexagonal Binning
60
Analyzing Geostatistical Data
67
411 The Empirical Variogram
68
412 Variogram Clouds
75
413 Detecting and Removing Trends
80
414 Anisotropy
84
42 Modeling the Empirical Variogram
91
422 Fitting a Theoretical Variogram Model
92
43 Kriging
98
432 Universal Kriging
105
44 Simulating Geostatistical Data
107
Analyzing Lattice Data
110
51 Spatial Neighbors
111
512 Reading Neighbor Information from an ASCII File
113
513 Finding Spatial Neighbors
115
514 Neighbor Weights
121
515 Using More Than One Neighbor Matrix
123
52 Spatial Autocorrelation
124
621 Visual Methods
150
622 Nearest Neighbor Methods
152
63 Examining First and SecondOrder Properties
157
631 Intensity
158
632 The Kfunction
161
64 Simulating Point Patterns
165
S+SPATIALSTATS and GIS
169
711 ARCINFO Coverage Types and Spatial Data Types
171
Analysis of a Point Coverage
172
722 Importing Rainfall Data into SPLUS
173
723 Exploratory Data Analysis
175
724 Spatial Modeling
178
725 Exporting Analysis Results to ARCINFO
184
Analysis of a Polygon Coverage
185
733 Removing Excess ARCINFO Information
188
734 Exploratory Data Analysis
189
735 Spatial Linear Model
194
736 Model Selection
196
737 Exporting Analysis Results to ARCINFO
197
Analysis of a Grid
198
Installing S+SPATIALSTATS
202
A12 Installation Procedure
203
A13 Verifying Installation
204
A14 Updating Your S+SPATIALSTATS License
205
S+SPATIALSTATS Functions and Data Sets by Category
208
Sample Data Sets
215
Function Reference
222
Glossary
314
Bibliography
317
Index
321
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