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restoptr  

Ecological Restoration Planning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("restoptr", "1.0.6")



Attach the package and use:
library("restoptr")
Maintained by
Dimitri Justeau-Allaire
[Scholar Profile | Author Map]
First Published: 2022-06-09
Latest Update: 2023-08-18
Description:
Flexible framework for ecological restoration planning. It aims to identify priority areas for restoration efforts using optimization algorithms (based on Justeau-Allaire et al. 2021 ). Priority areas can be identified by maximizing landscape indices, such as the effective mesh size (Jaeger 2000 ), or the integral index of connectivity (Pascual-Hortal & Saura 2006 ). Additionally, constraints can be used to ensure that priority areas exhibit particular characteristics (e.g., ensure that particular places are not selected for restoration, ensure that priority areas form a single contiguous network). Furthermore, multiple near-optimal solutions can be generated to explore multiple options in restoration planning. The package leverages the 'Choco-solver' software to perform optimization using constraint programming (CP) techniques ().
How to cite:
Dimitri Justeau-Allaire (2022). restoptr: Ecological Restoration Planning. R package version 1.0.6, https://cran.r-project.org/web/packages/restoptr. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0.0 (2022-06-09 09:40), 1.0.1 (2022-06-17 10:20), 1.0.2 (2022-10-13 18:31), 1.0.3 (2022-11-12 15:00), 1.0.4 (2023-01-30 11:50), 1.0.5 (2023-03-16 18:40)
Other packages that cited restoptr R package
View restoptr citation profile
Other R packages that restoptr depends, imports, suggests or enhances
Complete documentation for restoptr
Functions, R codes and Examples using the restoptr R package
Some associated functions: add_available_areas_constraint . add_compactness_constraint . add_components_constraint . add_connected_constraint . add_locked_out_constraint . add_min_iic_constraint . add_min_mesh_constraint . add_restorable_constraint . add_settings . area_to_nb_cells . cell_area . cell_width . get_aggregation_factor . get_cell_area . get_constraints . get_existing_habitat . get_habitat_threshold . get_locked_out_areas . get_metadata . get_objective . get_original_habitat . get_restorable_habitat . get_settings . invert_vector . is_java_available . nb_cell_to_area . pipe . preprocess_input . print.RestoptProblem . restopt_problem . restopt_solution . restoptr . set_max_iic_objective . set_max_mesh_objective . set_max_nb_pus_objective . set_max_restore_objective . set_min_nb_pus_objective . set_min_restore_objective . set_no_objective . solve.RestoptProblem . 
Some associated R codes: add_available_areas_constraint.R . add_compactness_constraint.R . add_components_constraint.R . add_connected_constraint.R . add_locked_out_constraint.R . add_min_iic_constraint.R . add_min_mesh_constraint.R . add_restorable_constraint.R . add_settings.R . internal.R . is_java_available.R . package.R . preprocessing.R . restopt_component.R . restopt_problem.R . restopt_solution.R . set_max_iic_objective.R . set_max_mesh_objective.R . set_max_nb_pus_objective.R . set_max_restore_objective.R . set_min_nb_pus_objective.R . set_min_restore_objective.R . set_no_objective.R . solve.R . terra_io.R . terra_utils.R . utils-pipe.R . zzz.R .  Full restoptr package functions and examples
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