CRAN Package Check Results for Package geospatialsuite

Last updated on 2025-12-05 06:49:53 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 24.28 226.52 250.80 OK
r-devel-linux-x86_64-fedora-clang 0.1.1 236.00 415.67 651.67 OK
r-devel-linux-x86_64-fedora-gcc 0.1.1 175.00 468.49 643.49 OK
r-devel-windows-x86_64 0.1.1 33.00 307.00 340.00 OK
r-patched-linux-x86_64 0.1.1 32.58 327.93 360.51 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 34.00 298.00 332.00 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 50.00 405.00 455.00 ERROR

Check Details

Version: 0.1.1
Check: tests
Result: ERROR Running 'testthat.R' [14s] 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% | |== | 2% | |==== | 6% | |===== | 7% | |=========== | 15% | |============= | 18% | |============= | 19% | |============== | 20% | |================ | 23% | |================= | 24% | |================= | 25% | |===================== | 31% | |======================== | 35% | |============================== | 44% | |=============================== | 44% | |================================ | 46% | |====================================== | 55% | |=========================================== | 62% | |================================================= | 70% | |=================================================== | 73% | |====================================================== | 77% | |======================================================== | 80% | |========================================================= | 82% | |============================================================== | 89% | |==================================================================== | 97% | |======================================================================| 100% The rnaturalearthdata package needs to be installed. Installing the rnaturalearthdata package. Installing package into 'D:/temp/2025_12_03_01_50_00_178/RtmpeWi72y/RLIBS_1b1cc9d12292' (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