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Analyzing Geostatistical Data

  • Stephen P. Kaluzny
  • Silvia C. Vega
  • Tamre P. Cardoso
  • Alice A. Shelly
Chapter

Abstract

This chapter introduces functions available in S-Plus and S+SpatialStats for analyzing geostatistical data. Geostatistical data, also termed random field data, consist of measurements taken at fixed locations. For a complete description of geostatistical data see chapter 1. Specifically, this chapter discusses methods related to variogram analysis and kriging. Variogram estimation and kriging were originally introduced as geostatistical methods for use in mining applications. In recent years, these methods have been applied to many disciplines including meteorology, forestry, agriculture, cartography, climatology, and fisheries.

In this chapter you will learn about the following topics:
  • Estimating Variograms (section 4.1).

  • Fitting Theoretical Variogram Models (section 4.2).

  • Performing Ordinary and Universal Kriging (section 4.3).

  • Simulating Geostatistical Data (section 4.4).

Keywords

Ordinary Kriging Variogram Model Prediction Location Nugget Effect Universal Kriging 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© MathSoft, Inc. 1998

Authors and Affiliations

  • Stephen P. Kaluzny
    • 1
  • Silvia C. Vega
    • 1
  • Tamre P. Cardoso
    • 1
  • Alice A. Shelly
    • 1
  1. 1.Data Analysis Products DivisionMathSoft, Inc.SeattleUSA

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