CRAN Package Check Results for Package geospatialsuite

Last updated on 2025-12-03 09:50:20 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.1 33.73 351.00 384.73 OK
r-devel-linux-x86_64-debian-gcc 0.1.1 20.98 225.15 246.13 OK
r-devel-linux-x86_64-fedora-clang 0.1.1 76.00 528.96 604.96 OK
r-devel-linux-x86_64-fedora-gcc 0.1.1 70.00 515.42 585.42 OK
r-devel-windows-x86_64 0.1.1 35.00 299.00 334.00 OK
r-patched-linux-x86_64 0.1.1 36.94 329.70 366.64 OK
r-release-linux-x86_64 0.1.1 30.90 328.85 359.75 OK
r-release-macos-arm64 0.1.1 OK
r-release-macos-x86_64 0.1.1 39.00 254.00 293.00 OK
r-release-windows-x86_64 0.1.1 36.00 296.00 332.00 OK
r-oldrel-macos-arm64 0.1.1 OK
r-oldrel-macos-x86_64 0.1.1 33.00 310.00 343.00 OK
r-oldrel-windows-x86_64 0.1.1 47.00 402.00 449.00 ERROR

Check Details

Version: 0.1.1
Check: tests
Result: ERROR Running 'testthat.R' [15s] Running the tests in 'tests/testthat.R' failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(geospatialsuite) ================================================== GeoSpatialSuite v0.1.1 - Reliable Spatiotemporal Analysis ================================================== Universal - 60+ Vegetation Indices - Robust & Simple Reliable terra plotting (no complex dependencies) 60+ vegetation indices with auto band detection Universal mapping with quick_map() Enhanced NDVI with quality filtering Robust error handling throughout Quick Start: help(package='geospatialsuite') Test Package: test_geospatialsuite_package_simple() ================================================== All optional packages available! > > test_check("geospatialsuite") | | | 0% | |= | 1% | |=== | 4% | |====== | 8% | |========= | 12% | |========= | 13% | |========== | 14% | |============== | 20% | |=============== | 21% | |================= | 24% | |================= | 25% | |=================== | 28% | |===================== | 30% | |======================== | 34% | |======================== | 35% | |============================ | 39% | |================================== | 48% | |=================================== | 51% | |===================================== | 53% | |============================================= | 64% | |================================================= | 71% | |===================================================== | 75% | |====================================================== | 77% | |=========================================================== | 84% | |============================================================ | 86% | |=================================================================== | 95% | |======================================================================| 100% The rnaturalearthdata package needs to be installed. Installing the rnaturalearthdata package. Installing package into 'D:/temp/2025_12_01_18_19_37_23003/RtmpAhWsCI/RLIBS_1707c6e005ab2' (as 'lib' is unspecified) Starting dynamic CDL crop analysis... Analyzing 2 crop codes for custom_selection Raster info: 25 cells, resolution: 0.200000 x 0.200000 CRS: GEOGCRS["WGS 84 (CRS84)", DATUM["World Geodetic System 1984", ELLIPSOID["WGS 84",6378137,298.257223563, LENGTHUNIT["metre",1]]], PRIMEM["Greenwich",0, ANGLEUNIT["degree",0.0174532925199433]], CS[ellipsoidal,2], AXIS["geodetic longitude (Lon)",east, ORDER[1], ANGLEUNIT["degree",0.0174532925199433]], AXIS["geodetic latitude (Lat)",north, ORDER[2], ANGLEUNIT["degree",0.0174532925199433]], USAGE[ SCOPE["unknown"], AREA["World"], BBOX[-90,-180,90,180]], ID["OGC","CRS84"]] Is geographic (lon/lat): TRUE Geographic coordinates detected - calculating pixel area using cellSize() Calculated pixel size: 37651.396360 hectares Code 1: 9 pixels = 338862.57 hectares Code 5: 8 pixels = 301211.17 hectares Area Analysis Summary: Crop: custom_selection (codes: 1, 5) Region: Full extent Total crop area: 640073.74 hectares (1581654.21 acres) Pixel size: 37651.396360 hectares Raster: 25 total pixels, 25 valid pixels CDL analysis completed! Saving _problems/test-error-handling-28.R Rasters have different geometries. Attempting to align... Flavor: r-oldrel-windows-x86_64