SK: Segment-Based Ordinary Kriging and Segment-Based Regression Kriging for Spatial Prediction

Segment-based Kriging methods, including segment-based ordinary Kriging (SOK) and segment-based regression Kriging (SRK) for spatial prediction of line segment spatial data as described in Yongze Song (2018) <doi:10.1109/TITS.2018.2805817>. Includes the spatial prediction and spatial visualisation. The descriptions of the methods and case datasets refer to the citation information below.

Version: 1.1
Depends: R (≥ 3.4.0)
Imports: stats, graphics, rgeos, RColorBrewer, sp, GD, rtop, FitAR, MASS
Suggests: knitr, rmarkdown
Published: 2018-05-16
Author: Yongze Song ORCID iD [aut, cre]
Maintainer: Yongze Song <yongze.song at postgrad.curtin.edu.au>
License: GPL-2
NeedsCompilation: no
Citation: SK citation info
CRAN checks: SK results

Downloads:

Reference manual: SK.pdf
Vignettes: Segment-Based Kriging Models for Spatial Prediction
Package source: SK_1.1.tar.gz
Windows binaries: r-devel: SK_1.1.zip, r-devel-gcc8: SK_1.1.zip, r-release: SK_1.1.zip, r-oldrel: SK_1.1.zip
OS X binaries: r-release: SK_1.1.tgz, r-oldrel: SK_1.1.tgz

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