Model-Free Estimation from Spatial Samples: a Reappraisal of Classical Sampling Theory

J.J. de Gruijter, C.J.F. ter Braak

Research output: Contribution to journalArticleAcademicpeer-review

111 Citations (Scopus)

Abstract

A commonly held view among geostatisticians is that classical sampling theory is inapplicable to spatial sampling because spatial data are dependent, whereas classical sampling theory requires them to be independent. By comparing the assumptions and use of classical sampling theory with those of geostatistical theory, we conclude that this view is both false and unfortunate. In particular, estimates of spatial means based on classical sampling designs require fewer assumptions for their validity, and are therefore more robust, than those based on a geostatistical model.
Original languageEnglish
Pages (from-to)407-415
JournalMathematical Geology
Volume22
Issue number4
Publication statusPublished - 1990

Keywords

  • sampling
  • geostatistics

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