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Regional Analytical Model (RAM):

Regional Spatial-intertemporal Data Modeling and Representation using ArcGIS Geostatistical Analytics. ArcGIS Geostatistical Analytics generate optimal surfaces from sample data and evaluate predictions for better decision making.

ArcGIS Geostatistical Analytics offers a suite of interactive tools to visually investigate data prior to analysis. These tools allow modelers to:

  • Investigate the distribution of your data and look for outliers (Histogram, QQ Plots)
  • Look for systematic trends in your data (Trend Analysis)
  • Explore local variability and clusters (Voronoi Map)
  • Visualize spatial correlation within and between datasets (Semivariogram/Cross-Covariance Clouds)

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:

  • Inverse distance weighted
  • Radial-based functions
  • Global and local polynomials
  • Kriging for exact data and for error-contaminated data
  • Cokriging (multivariate version of the above-mentioned kriging models)
  • Isotropical or anisotropical models

Evaluate how special models perform using the following diagnostics.

  • Cross-validation for checking the model’s quality
  • Validation for checking prediction quality
  • Compare cross-validation results of several models
  • Show predicted value at cursor (MapTips)
  • 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 visualized data surfaces. Use renderers such as contours, regular grids and hillshading for enhanced surfaces visualization. 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.
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