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  [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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SK
to link to this page.