The Importance of Geostatistics in the Era of Data Science

Peter Atkinson

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Since the development of geostatistics in the 1960s, geostatistical techniques have been applied widely, from early advances in estimating mineral and oil/gas reserves (David 1977; Journel and Huijbregts 1978) to a range of environmental problems including in soil science, hydrology, ecology, climatology and oceanography, more recently (Cressie 1993; Goovaerts 1997). This expansion in the use of geostatistics stems, crucially, from the spatially (and temporally) explicit nature of the methods which geostatistics provides for the appropriate analysis of Earth science properties, which vary in space and time.
Original languageEnglish
Pages (from-to)1-2
JournalMathematical Geosciences
Publication statusAccepted - 16 Mar 2020
Externally publishedYes
EventThe 12th Conference on Geostatistics for Environmental Applications: geoENV2018 - Queen's University Belfast, Belfast, United Kingdom
Duration: 04 Jul 201805 Jul 2018


  • geostatistics
  • big data
  • compositional data analysis
  • Bayesian approach
  • Machine Learning
  • spatial analysis

ASJC Scopus subject areas

  • Environmental Science(all)
  • Applied Mathematics


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