Using Arcgis Geostatistical Analyst

Using Arcgis Geostatistical Analyst

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  • 製本 Paperback:紙装版/ペーパーバック版
  • 言語 ENG
  • 商品コード 9781589480063
  • DDC分類 005

Table of Contents

  Welcome to ArcGIS Geostatistical Analyst         1  (10)
Exploratory spatial data analysis 2 (1)
Semivariogram modeling 3 (1)
Surface prediction and error modeling 4 (1)
Threshold mapping 5 (1)
Model validation and diagnostics 6 (1)
Surface prediction using cokriging 7 (1)
Tips on learning Geostatistical Analyst 8 (3)
Quick-Start tutorial 11 (38)
Introduction to the tutorial 12 (2)
Creating a surface using default parameters 14 (5)
Exploring your data 19 (7)
Mapping ozone concentration 26 (2)
Comparing models 28 (11)
Mapping the probability of ozone exceeding 39 (3)
a critical threshold
Producing the final map 42 (7)
The principles of geostatistical analysis 49 (32)
Understanding deterministic methods 50 (3)
Understanding geostatistical methods 53 (1)
Working through a problem 54 (5)
Basic principles behind geostatistical 59 (2)
methods
Modeling a semivariogram 61 (13)
Kriging 74 (4)
A guide to the Geostatistical Analyst 78 (3)
extension
Exploratory Spatial Data Analysis 81 (32)
What is Exploratory Spatial Data Analysis? 82 (1)
Exploratory Spatial Data Analysis 83 (1)
Exploratory Spatial Data Analysis tools 84 (11)
Examining the distribution of the data 95 (3)
Examining the distribution of your data 98 (1)
Looking for global and local outliers 99 (2)
Identifying global and local outliers 101(2)
Looking for global trends 103(2)
Looking for global trends 105(1)
Examining spatial autocorrelation and 106(2)
directional variation
Examining spatial structure and directional 108(1)
variation
Understanding covariation among multiple 109(2)
datasets
Understanding spatial covariation among 111(2)
multiple datasets
Deterministic methods for spatial 113(18)
interpolation
How Inverse Distance Weighted interpolation 114(4)
works
Creating a map using IDW 118(2)
How global polynomial interpolation works 120(2)
Creating a map using global polynomial 122(1)
interpolation
How local polynomial interpolation works 123(2)
Creating a map using local polynomial 125(1)
interpolation
How radial basis functions work 126(3)
Creating a map using RBFs 129(2)
Creating a surface with geostatistical 131(36)
techniques
What are geostatistical interpolation 132(1)
techniques?
Understanding the different kriging models 133(2)
Understanding output surface types 135(1)
Creating a kriging map using defaults 136(1)
Understanding transformation and trends 137(1)
Understanding ordinary kriging 138(1)
Creating a map using ordinary kriging 139(4)
Understanding simple kriging 143(1)
Creating a map using simple kriging 144(6)
Understanding universal kriging 150(1)
Creating a map using universal kriging 151(2)
Understanding thresholds 153(1)
Understanding indicator kriging 154(1)
Creating a map using indicator kriging 155(1)
Understanding probability kriging 156(1)
Creating a map using probability kriging 157(2)
Understanding disjunctive kriging 159(1)
Creating a map using disjunctive kriging 160(5)
Understanding cokriging 165(1)
Creating a map using cokriging 166(1)
Using analytical tools when generating 167(52)
surfaces
Investigating spatial structure: variography 168(7)
Modeling semivariograms and covariance 175(6)
functions
Determining the neighborhood search size 181(4)
Determining the neighborhood search size 185(4)
Performing cross-validation and validation 189(4)
Performing cross-validation to assess 193(2)
parameter selections
Assessing decision protocol using validation 195(2)
Comparing one model with another 197(2)
Comparing one model with another 199(1)
Modeling distributions and determining 200(4)
transformations
Using transformations (log, Box--Cox, and 204(1)
arcsine)
Using the normal score transformation 205(1)
Checking for the bivariate normal 206(3)
distribution
Checking for bivariate distribution 209(2)
Implementing declustering to adjust for 211(3)
preferential sampling
Declustering to adjust for preferential 214(2)
sampling
Removing trends from the data 216(2)
Removing global and local trends from the 218(1)
data: detrending
Displaying and managing geostatistical layers 219(20)
What is a geostatistical layer? 220(2)
Adding layers 222(1)
Working with layers in a map 223(1)
Managing layers 224(1)
Viewing geostatistical layers in ArcCatalog 225(2)
Representing a geostatistical layer 227(2)
Changing the symbology of a geostatistical 229(1)
layer
Data classification 230(3)
Classifying data 233(2)
Setting the scales at which a 235(1)
geostatistical layer will be displayed
Predicting values for locations outside the 236(1)
area of interest
Saving and exporting geostatistical layers 237(2)
Additional geostatistical analysis tools 239(8)
Changing the parameters of a geostatistical 240(1)
layer: method properties
Predicting values for specified locations 241(2)
Performing validation on a geostatistical 243(4)
layer created from a subset
Appendix A 247(28)
Appendix B 275(4)
Glossary 279(6)
References 285(2)
Index 287