orbis provides tools for spatial data analysis in R. It follows tidyverse principles and is designed to work with the r-spatial collection of packages.

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You can install orbis using the remotes package:

# install.packages("remotes") remotes::install_github("danielvartan/orbis")

orbis is equipped with several functions to help with your analysis, such as:

• remove_unique_outliers(): Remove unique outliers from raster files.
• sidra_download_by_year(): Download and aggregate data by year from SIDRA API (to avoid overloading).
• worldclim_download(): Download WorldClim data.
• worldclim_to_ascii(): Convert WorldClim GeoTIFF files to Esri ASCII raster format.

Here is an example of usage.

remove_unique_outliers() was developed to simplify the removal of abnormal values in raster files. It can be used with GeoTIFF and Esri ASCII raster formats.

library(orbis) library(dplyr) library(readr) library(stars)

asc_content <- c( "ncols 5", "nrows 5", "xllcorner 0.0", "yllcorner 0.0", "cellsize 1.0", "NODATA_value -9999", "1 2 3 4 5 ", "6 7 8 9 10 ", "11 12 1000 14 15 ", # Extreme outlier (1000) "16 1 18 19 20 ", "21 22 23 24 25 " )

temp_file <- tempfile(fileext = ".asc") asc_content |> write_lines(temp_file)

temp_file |> read_stars() |> pull(1) |> as.vector() #> [1] 1 2 3 4 5 6 7 8 9 10 11 12 1000 14 #> [15] 15 16 1 18 19 20 21 22 23 24 25

temp_file |> remove_unique_outliers()

temp_file |> read_stars() |> pull(1) |> as.vector() #> [1] 1 2 3 4 5 6 7 8 9 10 11 12 NA 14 15 16 1 18 19 20 21 22 23 24 #> [25] 25

Click here to see the full list of functions.

If you use this package in your research, please cite it to acknowledge the effort put into its development and maintenance. Your citation helps support its continued improvement.

citation("orbis") #> To cite orbis in publications use: #>  #> Vartanian, D. (2025). orbis: Spatial data analysis tools [Computer #> software]. https://danielvartan.github.io/orbis #>  #> A BibTeX entry for LaTeX users is #>  #> @Misc{, #> title = {orbis: Spatial data analysis tools}, #> author = {Daniel Vartanian}, #> year = {2025}, #> url = {https://danielvartan.github.io/orbis}, #> note = {R package}, #> }

Copyright (C) 2025 Daniel Vartanian orbis is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <https://www.gnu.org/licenses/>. 

Contributions are always welcome! Whether you want to report bugs, suggest new features, or help improve the code or documentation, your input makes a difference.

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