Recent Releases of restoptr
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_constraintwhen data is vector data. - Add
touchesoption inadd_available_areas_constraintandadd_locked_out_constraint, useful when data is vector data. - Fix Warning due to
terraupdate when usinglevels. - Add
solution_name_prefixsetting, that allows defining a custom prefix for solutions names. - Fix the
restoptr.Rmdvignette, there was a bug due to the newterraversion, not allowing to subset layers having not unique name. This was fixed using the newly introducedsolution_name_prefixsetting. - Allow numeric values for
min_restoreandmax_restore, inadd_restorable_constraint()when unit is notcells, as the conversion to integer is done during the conversion to unitless values. - Relies on
restopt-2.0.1, which brings improved performances for thecompactnessconstraint.
Biosphere - Conservation and Restoration
- R
Published by dimitri-justeau almost 3 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 3 years ago