ArcGIS Geostatistical Analyst: statistical tools for data exploration, modelling and advanced surface interpolation

ArcGIS Geostatistical Analyst offers an array of data exploration and elaborated surface interpolation tools through the implementation of advanced statistical methods.

By using ArcMap, you can display the ground survey measurements of your phenomenon (environmental, natural...). However, due to the acquisition cost, these measurements are not exhaustive. ArcGIS Geostatistical Analyst allows you to interpolate your data throughout your target region, by using all the information contained in your sample: not only their value, but also their spatial distribution. It provides you with estimates and optimized temperature charts, it allows you to foresee environmental risks, and identify the existence of a certain geophysical element ... ArcGIS Geostatistical Analyst gives you the possibility to analyse, display, explore your data, and then create relevant interpolations, with a precision that you will be able to illustrate.
ArcGIS Geostatistical Analyst gives you access to geostatistical processing with the help of intuitive wizards and interfaces.

ArcGIS Geostatistical Analyst offers deterministic interpolation capabilities, such as:

• Inverted distance weight method (IDW)
• Global polynomial adjustment
• Local polynomial adjustment
• RBF (Radial Basis functions) methods, such as the normalized or tensor spline method, multiquadratic or reciprocal multiquadratic RBF methods.
  
  

and the following stochastic capabilities:

• Kriging (regular, single, universal, probability, indicating and disjunctive)
• Co-kriging (taking into account complementary explanatory variables)
  
  

Spatial analysis tools are available based on different types of technical interpolation:

• Variographic analysis: semivariogram and covariance
• Validation and cross-validation
• Crab processing (detrending)
• Declustering
• Validation of normal distributions (one and/or two variables)
• Data transformation
• Error modelling
  
  

Result charts

• Prediction chart
• Prediction error chart
• Quantile chart
• Probability chart