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rtop (version 0.6-17)

Interpolation of Data with Variable Spatial Support

Description

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) .

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Version

Install

install.packages('rtop')

Monthly Downloads

432

Version

0.6-17

License

GPL (>= 2)

Maintainer

Jon Skoien

Last Published

August 27th, 2025

Functions in rtop (0.6-17)

rtopVariogram

create variogram for data with spatial support
sceua

Optimisation with the Shuffle Complex Evolution method
useRtopWithIntamap

Integrates the rtop package with the intamap package
rtopDisc

Discretize areas
variogramModel

create or update variogram model
rtopSim

Spatial simulation of data with spatial support
rtopKrige

Spatial interpolation of data with spatial support
varMat

create a semivariogram matrix between a set of locations, or semivariogram matrices between and within two sets of locations
rtopFitVariogram

Fit variogram model to sample variogram of data with spatial support
getRtopParams

Setting parameters for the intamap package
readAreas

help file for creating SpatialPolygonsDataFrame with observations and/or predictionLocations of data with a spatial support
plot.rtopVariogramCloud

Plot and Identify Data Pairs on Sample Variogram Cloud
createRtopObject

Create an object for interpolation within the rtop package
downloadRtopExampleData

Download additional example data
readAreaInfo

create SpatialPointsDataFrame with observations of data with a spatial support
gDist

calculate geostatistical distances between areas
checkVario

Plot variogram fitted to data with support
rtop-package

A package providing methods for analysis and spatial interpolation of data with an irregular support
rtopCluster

start, access, stop or restart a cluster for parallel computation with rtop