restoptr
Ecological Restoration Planning
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 doi:10.1111/1365-2664.13803). Priority areas can be identified by maximizing landscape indices, such as the effective mesh size (Jaeger 2000 doi:10.1023/A:1008129329289), or the integral index of connectivity (Pascual-Hortal & Saura 2006 doi:10.1007/s10980-006-0013-z). 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 (https://choco-solver.org/).
- Version1.0.6
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- restoptr citation info
- Last release08/18/2023
Documentation
Team
Dimitri Justeau-Allaire
Ghislain Vieilledent
Show author detailsRolesAuthorJeffrey O Hanson
Show author detailsRolesAuthorPhilippe Birnbaum
Show author detailsRolesAuthorPhilippe Vismara
Show author detailsRolesAuthorXavier Lorca
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 552 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 8,125 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 11, 2024 with 77 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends3 packages
- Imports3 packages
- Suggests9 packages