Replication across space and time must be weak in the social and environmental sciences

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

Abstract

Replicability takes on special meaning when researching phenomena that are embedded in space and time, including phenomena distributed on the surface and near surface of the Earth. Two principles, spatial dependence and spatial heterogeneity, are generally characteristic of such phenomena. Various practices have evolved in dealing with spatial heterogeneity, including the use of place-based models. We review the rapidly emerging applications of artificial intelligence to phenomena distributed in space and time and speculate on how the principle of spatial heterogeneity might be addressed. We introduce a concept of weak replicability and discuss possible approaches to its measurement.

Original languageEnglish (US)
Article numbere2015759118
JournalProceedings of the National Academy of Sciences of the United States of America
Volume118
Issue number35
DOIs
StatePublished - Aug 31 2021

Keywords

  • Artificial intelligence
  • Place-based analysis
  • Replicability
  • Spatial heterogeneity

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Replication across space and time must be weak in the social and environmental sciences'. Together they form a unique fingerprint.

Cite this