restoptr

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 ().