ArcGIS Geostatistical Analyst

Strictly by pre-registration only

What is this course about?

Attendees will learn to create a probabilistic framework for quantifying uncertainties in data which is incomplete or subject to error by creating surfaces from sample data using various interpolation methods and deriving models to improve decision making by enhancing surfaces.

This course is designed for ArcGIS users who want to know how to create surfaces that can be used to visualise, analyse and understand spatial phenomena.

Course details


480.00 SGD




1 day




Visualisation, Editing and Analysis Course

Are there any prerequisites?

What skills will I learn?

After completing this course, you will be able to:

  • Create surface modeling using deterministic and geostatistical methods.
  • Generate interpolation models and assess their quality before using them in any further analysis.
  • Know how to use models to generate predictions for unsampled locations, as well as measures of uncertainty for those predictions.

What can I expect?

  • Course topics

    Understanding Geostatistics

    • Interpolation and methods
    • The geostatistical workflow

    Examining Data

    • Data mapping
    • Quantitative data exploration
    • Data distribution
    • Looking for global/local outliers and trends
    • Spatial autocorrelation
    • Voronoi map

    Creating Surfaces

    • Deterministic methods
    • Inverse distance weighted
    • Global/Local polynomial interpolation
    • Radial basis functions
    • Interpolation with barriers

    Geostatistical Methods

    • Components of geostatistical models
    • Empirical semivariogram and Binning
    • Anisotropy
    • Fitting a model to the empirical data
    • Model parameters
    • Handling trends
    • Different kriging models

    Evaluating Interpolation Results

    • Cross-validation
    • Result Plots
    • Prediction error statistics
    • Comparing models

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