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georob  

Robust Geostatistical Analysis of Spatial Data
View on CRAN: Click here


Download and install georob package within the R console
Install from CRAN:
install.packages("georob")

Install from Github:
library("remotes")
install_github("cran/georob")

Install by package version:
library("remotes")
install_version("georob", "0.3-19")



Attach the package and use:
library("georob")
Maintained by
Andreas Papritz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-06-20
Latest Update: 2024-02-12
Description:
Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) ) and Gaussian (Harville (1977) ) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) ), 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) ), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) ).
How to cite:
Andreas Papritz (2013). georob: Robust Geostatistical Analysis of Spatial Data. R package version 0.3-19, https://cran.r-project.org/web/packages/georob
Previous versions and publish date:
0.1-0 (2013-06-20 13:21), 0.1-1 (2013-09-06 22:26), 0.1-2 (2014-03-05 16:41), 0.1-3 (2014-05-15 18:27), 0.1-4 (2014-06-02 17:25), 0.1-5 (2014-08-28 12:46), 0.2-1 (2015-09-02 15:52), 0.2-2 (2015-12-03 00:15), 0.2-3 (2016-03-02 16:43), 0.2-4 (2016-07-27 03:07), 0.3-0 (2016-09-08 11:48), 0.3-1 (2016-09-09 19:56), 0.3-2 (2016-11-28 16:54), 0.3-3 (2017-01-24 14:20), 0.3-4 (2017-05-09 23:05), 0.3-5 (2017-10-20 21:22), 0.3-6 (2018-01-26 20:12), 0.3-7 (2018-08-27 21:02), 0.3-8 (2019-03-29 17:10), 0.3-9 (2019-04-08 18:52), 0.3-10 (2019-05-24 18:30), 0.3-11 (2019-12-18 11:20), 0.3-12 (2020-02-16 19:00), 0.3-13 (2020-03-28 17:40), 0.3-14 (2021-06-04 11:30), 0.3-17 (2024-02-03 12:40), 0.3-18 (2024-02-12 13:00)
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