restoptr - v1.0.6

• Increase time limit in test_solve.R to avoid errors in CRAN auto checks.

Biosphere - Conservation and Restoration - R
Published by dimitri-justeau 10 months ago

restoptr - v1.0.5

restoptr 1.0.5

• Fix issue related to a wrong argument name in terra::compareGeom (https://github.com/dimitri-justeau/restoptr/issues/55)
• Fix CITATION file according to CRAN comments

restoptr 1.0.4

• Remove dependency to rgdal (see https://r-spatial.org/r/2022/04/12/evolution.html)
• Increase time limit in tests, as sometimes CRAN test servers cannot complete some tests due to insufficient time.

restoptr 1.0.3

• Fix unexpected behaviour of add_available_areas_constraint when data is vector data.
• Add touches option in add_available_areas_constraint and add_locked_out_constraint, useful when data is vector data.
• Fix Warning due to terra update when using levels.
• Add solution_name_prefix setting, that allows defining a custom prefix for solutions names.
• Fix the restoptr.Rmd vignette, there was a bug due to the new terra version, not allowing to subset layers having not unique name. This was fixed using the newly introduced solution_name_prefix setting.
• Allow numeric values for min_restore and max_restore, in add_restorable_constraint() when unit is not cells, as the conversion to integer is done during the conversion to unitless values.
• Relies on restopt-2.0.1, which brings improved performances for the compactness constraint.

Biosphere - Conservation and Restoration - R
Published by dimitri-justeau almost 2 years ago

restoptr - v1.0.2

The restoptr R package provides a flexible framework for ecological restoration planning. It aims to identify priority areas for restoration efforts using optimization algorithms. Priority areas can be identified by maximizing landscape indices, such as the effective mesh size, or the integral index of connectivity. 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.

Biosphere - Conservation and Restoration - R
Published by dimitri-justeau over 2 years ago