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 |
| Maintainer: | Yongze Song <yongze.song at postgrad.curtin.edu.au> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | SK citation info |
| CRAN checks: | SK results |
| 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-release: SK_1.1.zip, r-oldrel: SK_1.1.zip |
| macOS binaries: | r-release: SK_1.1.tgz, r-oldrel: SK_1.1.tgz |
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