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biosurvey  

Tools for Biological Survey Planning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("biosurvey", "0.1.1")



Attach the package and use:
library("biosurvey")
Maintained by
Claudia Nuez-Penichet
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-14
Latest Update: 2023-07-07
Description:
A collection of tools that allows users to plan systems of sampling sites, increasing the efficiency of biodiversity monitoring by considering the relationship between environmental and geographic conditions in a region. The options for selecting sampling sites included here differ from other implementations in that they consider the environmental and geographic conditions of a region to suggest sampling sites that could increase the efficiency of efforts dedicated to monitoring biodiversity. The methods proposed here are new in the sense that they combine various criteria and points previously made in related literature; some of the theoretical and methodological bases considered are described in: Arita et al. (2011) , Sober
How to cite:
Claudia Nuez-Penichet (2021). biosurvey: Tools for Biological Survey Planning. R package version 0.1.1, https://cran.r-project.org/web/packages/biosurvey. Accessed 28 Jan. 2025.
Previous versions and publish date:
0.1.0 (2021-09-14 09:10), 0.1.1 (2021-09-15 23:10)
Other packages that cited biosurvey R package
View biosurvey citation profile
Other R packages that biosurvey depends, imports, suggests or enhances
Functions, R codes and Examples using the biosurvey R package
Some associated functions: DI_dendrogram . EG_selection . PAM_CS . PAM_from_table . PAM_indices . PAM_subset . assign_blocks . b_pam . base_PAM . biosurvey . block_sample . closest_to_centroid . compare_SAC . dis_loop . dist_list . distance_filter . explore_data_EG . files_2data . find_clusters . find_modes . grid_from_region . legend_bar . m_matrix . m_matrix_pre . m_selection . make_blocks . master_matrix . master_selection . match_rformat . mx . plot_DI . plot_PAM_CS . plot_PAM_geo . plot_SAC . plot_blocks_EG . plot_sites_EG . point_sample . point_sample_cluster . point_thinning . prepare_PAM_CS . prepare_base_PAM . prepare_master_matrix . preselected . preselected_dist_mask . print . purplow . random_selection . refill_PAM_indices . rlist_2data . selected_sites_DI . selected_sites_PAM . selected_sites_SAC . sp_data . sp_layers . sp_occurrences . spdf_2data . species_data . stack_2data . subset_PAM . summary . uniformE_selection . uniformG_selection . unimodal_test . variables . wgs84_2aed_laea . 
Some associated R codes: Classes.R . DI_plot_helpers.R . EG_selection.R . Methods.R . PAM_indices.R . base_pam.R . biosurvey.R . block_sample.R . color_palettes.R . compare_SAC.R . data_documentation.R . explore_data_EG.R . globals.R . make_blocks.R . master_matrix.R . pam_helpers.R . plot_PAM_CS.R . plot_PAM_geo.R . plot_SAC.R . plot_blocks_EG.R . plot_sites_EG.R . prepare_PAM_CS.R . preselected_dist_mask.R . random_selection.R . reduce_pam.R . selected_sites_DI.R . selected_sites_SAC.R . selectionEG_helpers.R . selection_helpers.R . short_helpers.R . uniformE_selection.R . uniformG_selection.R .  Full biosurvey package functions and examples
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