Package: rtop 0.6-17

rtop: Interpolation of Data with Variable Spatial Support

Data with irregular spatial support, such as runoff related data or data from administrative units, can with 'rtop' be interpolated to locations without observations with the top-kriging method. A description of the package is given by Skøien et al (2014) <doi:10.1016/j.cageo.2014.02.009>.

Authors:Jon Olav Skøien [aut, cre], Qingyun Duan [ctb]

rtop_0.6-17.tar.gz
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rtop_0.6-17.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rtop/json (API)

# Install 'rtop' in R:
install.packages('rtop', repos = c('https://jskoien.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 5 stars 1 packages 460 downloads 18 exports 23 dependencies

Last updated from:cb96b44aca. Checks:13 OK, 1 NOTE, 1 WARNING. Indexed: yes.

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linux-devel-x86_64OK234
source / vignettesOK249
linux-release-arm64OK228
linux-release-x86_64OK215
macos-release-arm64OK129
macos-release-x86_64OK293
macos-oldrel-arm64OK163
macos-oldrel-x86_64OK461
windows-devel-arm64NOTE390
windows-devel-x86_64OK174
windows-release-arm64WARNING410
windows-release-x86_64OK164
windows-oldrel-x86_64OK135
wasm-releaseOK153

Exports:checkVariocreateRtopObjectdownloadRtopExampleDatagDistgetRtopParamsreadAreaInforeadAreasrtopClusterrtopDiscrtopFitVariogramrtopKrigertopSimrtopVariogramrtopVariogramModelsceuaupdateRtopVariogramuseRtopWithIntamapvarMat

Dependencies:abindclassclassIntDBIe1071FNNgstatintervalsKernSmoothlatticeproxyRcpprlangs2sfsftimespspacetimestarsunitswkxtszoo

Readme and manuals

Help Manual

Help pageTopics
A package providing methods for analysis and spatial interpolation of data with an irregular supportrtop-package
Plot variogram fitted to data with supportcheckVario checkVario.rtop checkVario.rtopVariogramModel
Create an object for interpolation within the rtop packagecreateRtopObject
Download additional example datadownloadRtopExampleData
calculate geostatistical distances between areasgDist gDist.list gDist.rtop gDist.SpatialPolygons gDist.SpatialPolygonsDataFrame
Setting parameters for the intamap packagegetRtopParams
Plot and Identify Data Pairs on Sample Variogram Cloudplot.rtopVariogramCloud
create SpatialPointsDataFrame with observations of data with a spatial supportreadAreaInfo
help file for creating SpatialPolygonsDataFrame with observations and/or predictionLocations of data with a spatial supportreadAreas
start, access, stop or restart a cluster for parallel computation with rtoprtopCluster
Discretize areasrtopDisc rtopDisc.rtop rtopDisc.rtopVariogram rtopDisc.SpatialPolygons rtopDisc.SpatialPolygonsDataFrame
Fit variogram model to sample variogram of data with spatial supportrtopFitVariogram rtopFitVariogram.rtop rtopFitVariogram.rtopVariogram rtopFitVariogram.rtopVariogramCloud rtopFitVariogram.SpatialPointsDataFrame rtopFitVariogram.SpatialPolygonsDataFrame
Spatial interpolation of data with spatial supportrtopKrige rtopKrige.default rtopKrige.rtop rtopKrige.SpatialPolygonsDataFrame rtopKrige.STSDF
Spatial simulation of data with spatial supportrtopSim rtopSim.default rtopSim.rtop
create variogram for data with spatial supportrtopVariogram rtopVariogram.rtop rtopVariogram.SpatialPointsDataFrame rtopVariogram.SpatialPolygonsDataFrame rtopVariogram.STSDF
Optimisation with the Shuffle Complex Evolution methodsceua
Integrates the rtop package with the 'intamap' packageuseRtopWithIntamap
create or update variogram modelrtopVariogramModel updateRtopVariogram updateRtopVariogram.rtop updateRtopVariogram.rtopVariogramModel
create a semivariogram matrix between a set of locations, or semivariogram matrices between and within two sets of locationsvarMat varMat.list varMat.matrix varMat.rtop varMat.SpatialPolygons varMat.SpatialPolygonsDataFrame