georob
Robust Geostatistical Analysis of Spatial Data
Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) doi:10.3929/ethz-a-009900710) and Gaussian (Harville (1977) doi:10.1080/01621459.1977.10480998) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) doi:10.1002/9781119115151), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) doi:10.18637/jss.v055.i09), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) doi:10.1007/s11004-005-9022-8).
- Version0.3-20
- R version≥ 2.14
- LicenseGPL-2
- LicenseGPL-3
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?No
- Last release09/05/2024
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Andreas Papritz
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- Imports9 packages
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