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intamapInteractive

Interactive Add-on Functionality for 'intamap'

v1.2-7 · Aug 27, 2025 · GPL (>= 2)
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Description

The methods in this package adds to the functionality of the 'intamap' package, such as bias correction and network optimization. Pebesma et al (2010) gives an overview of the methods behind and possible usage <doi:10.1016/j.cageo.2010.03.019>.

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CRAN Check Status

2 ERROR
12 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang ERROR
r-devel-linux-x86_64-fedora-gcc ERROR
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (2 non-OK)
ERROR r-devel-linux-x86_64-fedora-clang

tests

Running ‘anisotropyChoice.R’ [9s/11s]
  Running ‘biasCorr.R’ [9s/16s]
  Running ‘findLocalBias.R’ [8s/15s]
  Running ‘findRegionalBias.R’ [9s/12s]
  Running ‘optimizingTest.R’ [90m/88m]
Running the tests in ‘tests/optimizingTest.R’ failed.
Complete output:
  > options(error = recover)
  > #test = TRUE
  > test = FALSE
  > mantest = FALSE
  > set.seed(1)
  > library(intamapInteractive)
  Loading required package: intamap
  Loading required package: sp
  > library(gstat)
  > #require(maptools)
  > # for SIC2004 dataset
  > data(sic2004)
  > coordinates(sic.val) = ~x+y
  > observations = sic.val["dayx"] 
  > coordinates(sic.grid)=~x+y
  > predGrid = sic.grid
  > 
  > #Finding the polygon for the candidate locations
  > bb = bbox(predGrid)
  > boun = SpatialPoints(data.frame(x=c(bb[1,1],bb[1,2],bb[1,2],bb[1,1],bb[1,1]),
  +                                 y=c(bb[2,1],bb[2,1],bb[2,2],bb[2,2],bb[2,1])))
  > Srl = Polygons(list(Polygon(boun)),ID = as.character(1))
  > candidates = SpatialPolygonsDataFrame(SpatialPolygons(list(Srl)),
  +                                       data = data.frame(ID=1))
  > 
  > # Limits the number of prediction locations to have faster UK 
  > # computations
  > nGrid = dim(coordinates(predGrid))[1]
  > predGrid = predGrid[sample(seq(1,nGrid),1000),]
  > # Fits the variogram model (using function fit.variogram from package
  > # gstat)
  > model = fit.variogram(variogram(dayx~x+y, sic.val), vgm(50, "Sph", 250000, 250))
  > #plot(variogram(dayx~x+y, sic.val), model=model)
  > # Computes the Mukv of the current network
  > initMukv <- calculateMukv(observations, predGrid, model, formulaString = dayx~x+y)
  OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead.
  OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
ERROR r-devel-linux-x86_64-fedora-gcc

tests

Running ‘anisotropyChoice.R’ [11s/29s]
  Running ‘biasCorr.R’ [10s/28s]
  Running ‘findLocalBias.R’ [9s/16s]
  Running ‘findRegionalBias.R’ [10s/20s]
  Running ‘optimizingTest.R’ [90m/66m]
Running the tests in ‘tests/optimizingTest.R’ failed.
Complete output:
  > options(error = recover)
  > #test = TRUE
  > test = FALSE
  > mantest = FALSE
  > set.seed(1)
  > library(intamapInteractive)
  Loading required package: intamap
  Loading required package: sp
  > library(gstat)
  > #require(maptools)
  > # for SIC2004 dataset
  > data(sic2004)
  > coordinates(sic.val) = ~x+y
  > observations = sic.val["dayx"] 
  > coordinates(sic.grid)=~x+y
  > predGrid = sic.grid
  > 
  > #Finding the polygon for the candidate locations
  > bb = bbox(predGrid)
  > boun = SpatialPoints(data.frame(x=c(bb[1,1],bb[1,2],bb[1,2],bb[1,1],bb[1,1]),
  +                                 y=c(bb[2,1],bb[2,1],bb[2,2],bb[2,2],bb[2,1])))
  > Srl = Polygons(list(Polygon(boun)),ID = as.character(1))
  > candidates = SpatialPolygonsDataFrame(SpatialPolygons(list(Srl)),
  +                                       data = data.frame(ID=1))
  > 
  > # Limits the number of prediction locations to have faster UK 
  > # computations
  > nGrid = dim(coordinates(predGrid))[1]
  > predGrid = predGrid[sample(seq(1,nGrid),1000),]
  > # Fits the variogram model (using function fit.variogram from package
  > # gstat)
  > model = fit.variogram(variogram(dayx~x+y, sic.val), vgm(50, "Sph", 250000, 250))
  > #plot(variogram(dayx~x+y, sic.val), model=model)
  > # Computes the Mukv of the current network
  > initMukv <- calculateMukv(observations, predGrid, model, formulaString = dayx~x+y)

Check History

ERROR 12 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE Mar 10, 2026
ERROR r-devel-linux-x86_64-fedora-clang

tests

Running ‘anisotropyChoice.R’ [9s/16s]
  Running ‘biasCorr.R’ [10s/24s]
  Running ‘findLocalBias.R’ [8s/20s]
  Running ‘findRegionalBias.R’ [9s/18s]
  Running ‘optimizingTest.R’ [90m/80m]
Running the tests in ‘tests/optimizingTest.R’ failed.
Complete 
...[truncated]...
edGrid, model, formulaString = dayx~x+y)
  OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead.
  OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
ERROR r-devel-linux-x86_64-fedora-gcc

tests

Running ‘anisotropyChoice.R’ [10s/17s]
  Running ‘biasCorr.R’ [11s/14s]
  Running ‘findLocalBias.R’ [9s/13s]
  Running ‘findRegionalBias.R’ [10s/14s]
  Running ‘optimizingTest.R’ [90m/73m]
Running the tests in ‘tests/optimizingTest.R’ failed.
Complet
...[truncated]...
gram(variogram(dayx~x+y, sic.val), vgm(50, "Sph", 250000, 250))
  > #plot(variogram(dayx~x+y, sic.val), model=model)
  > # Computes the Mukv of the current network
  > initMukv <- calculateMukv(observations, predGrid, model, formulaString = dayx~x+y)

Dependency Network

Dependencies Reverse dependencies intamap spatstat.geom automap gstat sp spcosa sf intamapInteractive

Version History

new 1.2-7 Mar 10, 2026
updated 1.2-7 ← 1.2-6 diff Aug 26, 2025
updated 1.2-6 ← 1.1-13 diff Oct 29, 2023
updated 1.1-13 ← 1.1-12 diff Feb 7, 2021
updated 1.1-12 ← 1.1-10 diff Feb 22, 2018
updated 1.1-10 ← 1.1-7 diff Aug 20, 2013
updated 1.1-7 ← 1.1-4 diff Apr 18, 2013
updated 1.1-4 ← 1.1-1 diff Jul 24, 2012
updated 1.1-1 ← 1.1-0 diff Jan 2, 2012
updated 1.1-0 ← 1.0-11 diff Dec 1, 2011
updated 1.0-11 ← 1.0-10 diff Jan 16, 2011
updated 1.0-10 ← 1.0-9 diff Sep 13, 2010
updated 1.0-9 ← 1.0-8 diff Jul 7, 2010
updated 1.0-8 ← 1.0-7 diff Nov 30, 2009
updated 1.0-7 ← 1.0-6 diff Oct 4, 2009
new 1.0-6 Oct 1, 2009