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tidysdm  

Species Distribution Models with Tidymodels
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tidysdm", "1.0.4")



Attach the package and use:
library("tidysdm")
Maintained by
Andrea Manica
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-13
Latest Update: 2025-08-25
Description:
Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, as well as a number of specialised functions to process presences and pseudoabsences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.
How to cite:
Andrea Manica (2023). tidysdm: Species Distribution Models with Tidymodels. R package version 1.0.4, https://cran.r-project.org/web/packages/tidysdm. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.9.2 (2023-11-13 18:30), 0.9.3 (2024-01-17 21:50), 0.9.4 (2024-03-05 21:30), 0.9.5 (2024-06-23 21:40), 1.0.0 (2025-03-05 18:40), 1.0.2 (2025-08-22 19:40), 1.0.3 (2025-09-05 19:30)
Other packages that cited tidysdm R package
View tidysdm citation profile
Other R packages that tidysdm depends, imports, suggests or enhances
Complete documentation for tidysdm
Functions, R codes and Examples using the tidysdm R package
Some associated functions: add_member . add_repeat . autoplot.simple_ensemble . autoplot.spatial_initial_split . blockcv2rsample . boyce_cont . calib_class_thresh . check_coords_names . check_sdm_presence . check_splits_balance . collect_metrics.simple_ensemble . conf_matrix_df . control_ensemble . dist_pres_vs_bg . explain_tidysdm . filter_high_cor . form_resp . gam_formula . geom_split_violin . grid_cellsize . grid_offset . horses . kap_max . km2m . lacerta . lacerta_ensemble . lacerta_rep_ens . maxent . maxent_params . maxnet_fit . maxnet_predict . optim_thresh . optim_thresh_kap_max . optim_thresh_sens . optim_thresh_tss_max . out_of_range_warning . pipe . plot_pres_vs_bg . predict.repeat_ensemble . predict.simple_ensemble . predict_raster . prob_metrics_sf . prob_to_binary . recipe.sf . repeat_ensemble . sample_pseudoabs . sample_pseudoabs_time . sdm_metric_set . sdm_spec_boost_tree . sdm_spec_gam . sdm_spec_glm . sdm_spec_maxent . sdm_spec_rand_forest . simple_ensemble . spatial_initial_split . thin_by_cell . thin_by_cell_time . thin_by_dist . thin_by_dist_time . tidysdm . tss . tss_max . y2d . 
Some associated R codes: add_member.R . add_repeat.R . autoplot_simple_ensemble.R . autoplot_spatial_initial_split.R . blockcv2rsample.R . boyce_cont.R . calib_class_thresh.R . check_coords_names.R . check_sdm_presence.R . check_split_balance.R . collect_metrics.R . confusion_matrix_df.R . control.R . datasets_docs.R . dist_pres_vs_abs.R . explain_tidysdm.R . filter_high_cor.R . gam_formula.R . geom_split_violin.R . grid_cellsize.R . grid_offset.R . kap_max.R . km2m.R . make_maxent.R . maxent.R . maxent_params.R . maxnet_fit.R . optim_thresh.R . out_of_range_warning.R . plot_pres_vs_abs.R . predict_raster.R . predict_repeat_ensemble.R . predict_simple_ensemble.R . prob_metrics.R . recipe_sf.R . recipes_sf_methods.R . repeat_ensemble.R . sample_pseudoabs.R . sample_pseudoabs_time.R . sdm_metric_set.R . sdm_spec_boost_tree.R . sdm_spec_gam.R . sdm_spec_glm.R . sdm_spec_maxent.R . sdm_spec_rand_forest.R . simple_ensemble.R . spatial_initial_split.R . thin_by_cell.R . thin_by_cell_time.R . thin_by_dist.R . thin_by_dist_time.R . tidysdm.R . tss.R . tss_max.R . utils-pipe.R . y2d.R . zzz.R .  Full tidysdm package functions and examples
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