Data processing and analytics code for project "SP2: Comparing spatial prioritization methods for biodiversity conservation and ecosystem service supply in Europe"
MIT License
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Can ILP MCP solution be combined into a hierarchical solution (ranking)? #5
By repeating the maximum coverage optimization for a range of budgets (i.e. area, 5%, 10%, 15%, …, 100% of the landscape), it is possible to create a nested hierarchy of solutions. This is sort of selection frequency for each planning unit (raster cell). However, the binary solutions probably are not nested, i.e. MCP solution for 5% of the landscape is not necessarily a subset of 10% etc. This might particularly be the case for more complex problem formulation (e.g. more complex cost information).
jlehtoma
commented
8 years ago
By repeating the maximum coverage optimization for a range of budgets (i.e. area, 5%, 10%, 15%, …, 100% of the landscape), it is possible to create a nested hierarchy of solutions. This is sort of selection frequency for each planning unit (raster cell). However, the binary solutions probably are not nested, i.e. MCP solution for 5% of the landscape is not necessarily a subset of 10% etc. This might particularly be the case for more complex problem formulation (e.g. more complex cost information).