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It is not always possible or practical to predict and model spatial phenomena through real world observations. ArcGIS Geostatistical Analyst lets you generate optimal surfaces from sample data and evaluate predictions for better decision making.
These are especially helpful for atmospheric data analysis, petroleum and mining exploration, environmental analysis, precision agriculture, and fish and wildlife studies.
“The many tools in ArcGIS Geostatistical Analyst allow me to determine which surface is the best interpolation of the data.”
Terri Arnold, Cartographer and GIS Specialist
ArcGIS Geostatistical Analyst extension offers a suite of interactive tools to visually investigate your data prior to analysis. These tools allow you to:
When data are incomplete or subject to error, ArcGIS Geostatistical Analyst provides a probabilistic framework for quantifying uncertainties. Create surfaces from sample data using these interpolation methods:
Evaluate how your models perform using the following diagnostics.
Create multiple versions of a surface to perform risk analyses. Geostatistical simulation produces multiple surfaces that mimic the real phenomenon and provide possible values. This provides a basis for risk analyses, economic decision making, and other estimations involving uncertainty, allowing analysts to make more informed decisions.
Improve decision making by enhancing and sharing your surfaces. Use renderers such as contours, regular grids and hillshading for enhanced surfaces. You can then export your prediction results as contour lines, polygons, raster or as a layer that stores the model parameters for the renderers that were used.