Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

Pebesma E [0000-0001-8049-7069]; Graeler B

CRAN: Contributed Packages · 2003

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Summary

Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.

Outcomes reported

Referenced by Nature Communications British biodiversity scenarios as citation 102; likely supports topic area: methods / modelling / statistics. Topics: methods / modelling / statistics Evidence type: Modelling / projection Source report: Nature Communications British biodiversity scenarios Ref#: Nature Communications British biodiversity scenarios #102 Original: Pebesma, E. & Gräler, B. gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation (Version 2.1-1) https://cran.r-project.org/web/packages/gstat/index.html (2023).

Theme
Farming systems, soils & land use
Subject
Other / interdisciplinary
Study type
Research
Source type
Peer-reviewed research
Status
Published
Geography
United Kingdom
System type
Other
DOI
10.32614/cran.package.gstat
Catalogue ID
IRmoq83nfn-cc53c6
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