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rtop (version 0.6-6)

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

578

Version

0.6-6

License

GPL (>= 2)

Maintainer

Last Published

March 31st, 2023

Functions in rtop (0.6-6)

Plot variogram fitted to data with support

createRtopObject

Create an object for interpolation within the rtop package

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

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

downloadRtopExampleData

Download additional example data

create SpatialPointsDataFrame with observations of data with a spatial support

calculate geostatistical distances between areas

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

create variogram for data with spatial support

Optimisation with the Shuffle Complex Evolution method

Setting parameters for the intamap package

plot.rtopVariogramCloud

Plot and Identify Data Pairs on Sample Variogram Cloud

create or update variogram model

Spatial interpolation of data with spatial support

useRtopWithIntamap

Integrates the rtop package with the intamap package

Discretize areas

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

Spatial simulation of data with spatial support

rtopFitVariogram

Fit variogram model to sample variogram of data with spatial support