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climenv  

Download, Extract and Visualise Climate and Elevation Data
View on CRAN: Click here


Download and install climenv package within the R console
Install from CRAN:
install.packages("climenv")

Install from Github:
library("remotes")
install_github("cran/climenv")

Install by package version:
library("remotes")
install_version("climenv", "1.0.0")



Attach the package and use:
library("climenv")
Maintained by
James L. Tsakalos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-02
Latest Update: 2023-11-02
Description:
Grants access to three widely recognised modelled data sets, namely Global Climate Data (WorldClim 2), Climatologies at high resolution for the earth's land surface areas (CHELSA), and National Aeronautics and Space Administration's (NASA) Shuttle Radar Topography Mission (SRTM). It handles both multi and single geospatial polygon and point data, extracts outputs that can serve as covariates in various ecological studies. Provides two common graphic options
How to cite:
James L. Tsakalos (2023). climenv: Download, Extract and Visualise Climate and Elevation Data. R package version 1.0.0, https://cran.r-project.org/web/packages/climenv. Accessed 21 Dec. 2024.
Previous versions and publish date:
1.0.0 (2023-11-02 20:40)
Other packages that cited climenv R package
View climenv citation profile
Other R packages that climenv depends, imports, suggests or enhances
Functions, R codes and Examples using the climenv R package
Some associated functions: bioclimate . ce_download . ce_extract . chelsa . elev . it_data . it_data_extended . it_pt . it_py . plot_c . plot_h . plot_wl . srtm_tiles . worldclim . 
Some associated R codes: bioclimate.R . ce_download.R . ce_extract.R . chelsa.R . data_it_data.R . data_it_data_extended.R . data_it_pt.R . data_it_py.R . data_srtm_tiles.R . elev.R . globals.R . plot_c.R . plot_h.R . plot_wl.R . worldclim.R .  Full climenv package functions and examples
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