CRAN Package Check Results for Maintainer ‘Leila Schuh <l.schuh at posteo.net>’

Last updated on 2024-08-19 05:49:33 CEST.

Package	NOTE
StrucDiv	13

Package StrucDiv

Current CRAN status:

Additional issues

M1mac M1mac

Version: 0.2.1
Check: C++ specification
Result: NOTE Specified C++11: please drop specification unless essential Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 0.2.1
Check: differences from ‘StrucDiv-Ex.Rout’ to ‘StrucDiv-Ex.Rout.save’
Result: NOTE 43,61c43,89 < > ## Not run: < > ##D # Construct a small raster file containing realizations of normal random variables: < > ##D a <- raster::raster(matrix(rnorm(648), 18, 36)) < > ##D raster::plot(a) < > ##D # Calculate contrast: < > ##D contrast_a <- strucDiv(a, wsl = 3, fun = contrast) < > ##D raster::plot(contrast_a) < > ##D < > ##D # Calculate dissimilarity: < > ##D b <- raster::raster(matrix(rnorm(100), 10, 10)) < > ##D raster::plot(b) < > ##D dissim_b <- strucDiv(b, wsl = 5, angle = "horizontal", fun = dissimilarity) < > ##D raster::plot(dissim_b) < > ##D < > ##D # Calculate structural diversity entropy with delta = 2 on NDVI data binned to 15 gray levels < > ##D ndvi.15gl <- raster::raster(ndvi.15gl) < > ##D sde_ndvi15 <- strucDiv(ndvi.15gl, wsl = 3, fun = entropy, delta = 2) < > ##D raster::plot(sde_ndvi15) < > ## End(Not run) --- > > # Construct a small raster file containing realizations of normal random variables: > > a <- raster::raster(matrix(rnorm(648), 18, 36)) > > raster::plot(a) > > # Calculate contrast: > > contrast_a <- strucDiv(a, wsl = 3, fun = contrast, na.handling = na.omit, rank = FALSE) > Extracting values from raster file > Calculating gray level co-occurrence matrix > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > Calculating horizontal structural diversity > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > > raster::plot(contrast_a) > > > > # Calculate dissimilarity: > > b <- raster::raster(matrix(rnorm(100), 10, 10)) > > raster::plot(b) > > dissim_b <- strucDiv(b, wsl = 5, dist = 1, angle = "all", fun = dissimilarity, > + na.handling = na.pass, rank = FALSE) > Extracting values from raster file > Calculating gray level co-occurrence matrix > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > **************************************************************Calculating horizontal structural diversity > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > **************************************************************> raster::plot(dissim_b) > > > > # Calculate structural diversity entropy with delta = 2 on NDVI data binned to 15 gray levels > > ndvi.15gl <- raster::raster(ndvi.15gl) > > sde_ndvi15 <- strucDiv(ndvi.15gl, wsl = 3, fun = entropy, delta = 2, na.handling = na.pass, > + rank = FALSE) > Extracting values from raster file > Calculating gray level co-occurrence matrix > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > Calculating horizontal structural diversity > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > > raster::plot(sde_ndvi15) > > 79,89c107,112 < > ## Not run: < > ##D # Calculate entropy on simulated random patch data < > ##D a <- raster::raster(matrix(rnorm(100), 10, 10)) < > ##D sdivDom <- strucDivDom(a, angle = "vertical", fun = entropyDom) < > ##D # Structural diversity value of the domain < > ##D div <- sdivDom$div < > ##D # Gray level co-occurrence matrix < > ##D glcm <- sdivDom$GLCM < > ##D # Diversity matrix < > ##D divmat <- sdivDom$divMat < > ## End(Not run) --- > > # Calculate entropy on NDVI data binned to 15 gray levels > > ndvi15 <- raster::raster(ndvi.15gl) > > ndvi15Dom <- strucDivDom(ndvi15, fun = entropyDom) > > ndvi15GLCM <- ndvi15Dom$GLCM > > ndvi15Div <- ndvi15Dom$div > > 106,125c129,170 < > ## Not run: < > ##D # Construct a small raster file containing realizations of normal random variables: < > ##D a <- raster::raster(matrix(rnorm(400), 20, 20)) < > ##D raster::plot(a) < > ##D # Calculate structural diversity entropy with delta = 2, double moving window scheme < > ##D sde_1 <- strucDivNest(a, wslI = 3, wslO = 5, angle = "horizontal", fun = entropy, delta = 2) < > ##D raster::plot(sde_1) < > ##D < > ##D # Calculate structural diversity entropy with delta = 1, block nesting scheme < > ##D b <- raster::raster(matrix(rnorm(2500), 50, 50)) < > ##D raster::plot(b) < > ##D sde_b <- strucDivNest(b, wslI = 3, dimB = c(10, 10), oLap = 4, priorB = TRUE, fun = entropy, < > ##D delta = 1) < > ##D raster::plot(sde_b) < > ##D < > ##D # Calculate entropy on simulated random patch, domain nesting scheme < > ##D patch <- raster::raster(patch) < > ##D entropy_patch <- strucDivNest(patch, wslI = 5, domain = TRUE, angle = "vertical", fun = entropy) < > ##D raster::plot(entropy_patch) < > ## End(Not run) --- > > # Construct a small raster file containing realizations of normal random variables: > > a <- raster::raster(matrix(rnorm(648), 18, 36)) > > raster::plot(a) > > # Calculate structural diversity entropy with delta = 2, double moving window scheme > > sde_a <- strucDivNest(a, wslI = 3, wslO = 7, fun = entropy, delta = 2, na.handling = na.omit, > + rank = FALSE) > Extracting values from raster file > Calculating gray level co-occurrence matrix > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > Calculating horizontal structural diversity > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > > raster::plot(sde_a) > > > > # Calculate structural diversity entropy with delta = 1, block nesting scheme > > b <- raster::raster(matrix(rnorm(2500), 50, 50)) > > raster::plot(b) > > sde_b <- strucDivNest(b, wslI = 3, dimB = c(10, 10), oLap = 4, priorB = TRUE, fun = entropy, > + delta = 1, na.handling = na.pass, rank = FALSE) > > | > | | 0% > > raster::plot(sde_b) > > > > # Calculate entropy on NDVI data binned to 15 gray levels, domain nesting scheme > > ndvi.15gl <- raster::raster(ndvi.15gl) > > entropyNest_ndvi15 <- strucDivNest(ndvi.15gl, wslI = 5, domain = TRUE, fun = entropy, > + na.handling = na.pass, rank = FALSE) > Extracting values from raster file > Calculating gray level co-occurrence matrix > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > Calculating horizontal structural diversity > 0% 10 20 30 40 50 60 70 80 90 100% > [----|----|----|----|----|----|----|----|----|----| > **************************************************| > > raster::plot(entropyNest_ndvi15) > > Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

Version: 0.2.1
Check: installed package size
Result: NOTE installed size is 11.1Mb sub-directories of 1Mb or more: libs 10.1Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64