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Using ArcGIS Geostatistical Analyst: ArcGIS 9
 
 
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Using ArcGIS Geostatistical Analyst: ArcGIS 9 [Paperback]

ESRI Press (Creator)


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Book Description

September 1, 2004
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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Written by the world leaders in GIS technology.

Product Details

  • Paperback: 300 pages
  • Publisher: ESRI Press (September 1, 2004)
  • Language: English
  • ISBN-10: 1589481062
  • ISBN-13: 978-1589481060
  • Product Dimensions: 8.9 x 7.5 x 0.8 inches
  • Shipping Weight: 1.5 pounds
  • Amazon Best Sellers Rank: #1,927,305 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
Welcome to the ESRI® ArcGIS® Geostatistical Analyst extension for advanced surface modeling using deterministic and geostatistical methods. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
covariance cloud, searching neighborhood, search direction, covariance surface, angle tolerance, visible scale range, primary threshold, average standard error, data frame, geostatistical layer, analytical tools when generating surfaces, surface with geostatistical techniques, modeling dialog box, partial sill parameter, prediction standard error map, crosscovariance cloud, global polynomial interpolation, point feature layer, semivariogram surface, polygon feature layer, exploratory spatial data analysis tools, quantile maps, spatial autocorrclation, semivariogram cloud, local polynomial interpolation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Geostatistical Analyst, Click Next, Los Angeles, Cross Validation, Gcostatistical Analyst, Click the Kriging, Explore Data, Geostatistical Wizard, Trend Analysis, Click the Symbology, Click the Add Data, Click Save, Click Add, Zoom To Layer, Create Prediction Standard Error Map, Click the Input Data, Voronoi Map, Create Subsets, Major Range, Angle Direction, Number of Lags, Click Kriging, Data Source, Mean Standardized, Test Location
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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