ArcGIS 9: Using ArcGIS Geostatistical Analyst

Front Cover
Kevin Johnston
Esri Press, 2004 - Computers - 300 pages
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ESRI(R) ArcGIS(TM) Geostatistical Analyst is one of the available extensions to the ArcGIS(TM) Desktop products-- ArcInfo(TM), ArcEditor(TM), and ArcView(R). ArcGIS Geostatistical Analyst enables users to predict the magnitude or quantity of some phenomena across, above, or below a landscape. Predictions of such phenomena are made using measured sample points taken at various locations in the study site. ArcGIS Geostatistical Analyst creates the most accurate continuous surface possible from those measured samples, allowing an individual or team to make more effective decisions.
You will learn how to:
Represent your data.
Explore your data and determine what trends may exist.
Choose and fit a model such as kriging, cokriging, IDW, and others.
Perform diagnostic tests on your data.
Compare the results of different models.
Begin by following the quick-start tutorial to get an overview of how to perform the basics with ArcGIS Geostatistical Analyst. If you prefer, jump right in and experiment on your own. When you have questions, you will find concise, step-by-step answers inside, fully illustrated, to help you complete a task.

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User Review  - gogogadgetgators - Overstock.com

This book is a very easy to understand manual for this extension. I used it in conjunction with a class I took and it helped immensely on my final project! I would like to see more help with ... Read full review

Contents

O nte nts 1 Welcome to ArcGlS Geostatistical Analyst
1
Quickstarttutorial
11
The principles of geostatistical analysis
49
Exploratory Spatial Data Analysis
81
Deterministic methods for spatial interpolation
113
Creating a surface with geostatistical techniques
131
________ ___ k
151
Using analytical tools when generating surfaces
167
Assessing decision protocol using validation
195
Using transfonnations log BoxCox and arcsine
204
Implementing declustering to adjust for preferential sampling 21 1
211
detrending
218
Displaying and managing geostatistical layers
219
Additional geostatistical analysis tools
239
Appendix A
247
Appendix B
275

Modeling semivariograms and covariance functions
175
Determining the neighborhood search size
181
Performing crossvalidation and validation
189
References
285
Copyright

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About the author (2004)

The books are written by a variety of GIS specialists who spend most of their time writing the software. Many have been with ESRI for 10+ years and have written previous software documentation and ESRI Press titles.

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