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ArcGIS Geostatistical Analyst is an extension to ArcGIS Desktop
(ArcInfo, ArcEditor, and ArcView) that provides a variety of tools for
spatial data exploration, identification of data anomalies, optimum
prediction, evaluation of prediction uncertainty, and surface creation.
With ArcGIS Geostatistical Analyst you can
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Explore data variability, look for data outliers, examine global trends, and investigate spatial autocorrelation and the correlation between multiple data sets.
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Create prediction, prediction standard errors, the probability that specified threshold was exceeded, and quantile maps using various geostatistical models and tools.
ArcGIS Geostatistical Analyst is a complete package for spatial data
preprocessing, geostatistical analysis, contouring, and post-processing.
It also includes interactive graphical tools with robust parameters
for default models to help newcomers to geostatistical data analysis.
Geostatistical
Analyst leverages ArcGIS data management, visualization, and mapping
tools to put powerful geostatistical analysis tools in the hands of
GIS users.
Why Use ArcGIS Geostatistical Analyst?
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The eye can infer patterns that do not exist, and it can miss important patterns. Geostatistical Analyst provides objective, data driven methods for quantifying trends and detecting patterns in spatial data.
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If data is not precise or the model is not exact, uncertainty will affect the output maps and the conclusions made from them. Geostatistical Analyst provides a probabilistic framework for quantifying uncertainties in surface creation.
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Multivariate statistical methods use correlations in attribute values to infer associations between different variables. They are useful for combining data to produce more precise predictions.
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Geostatistical analysis provides a powerful way of predicting unknown parts of some spatial phenomenon. Hence, it is extremely useful for sampling plan design and optimization.
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