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To visualize the cost surfaces, consider the following example.
Firstly, spatial MCE and LCPA were combined to generate cost surfaces, and to identify alternative paths.
It is based on cost surfaces built for a set of target species associated with the dominant habitats of the region.
Functional landscape connectivity with regard to fire propagation is expressed through cost surfaces that are computed from a fire friction map and a random set of ignition points.
The British road network has been reconstructed using published data but also a variation of LCR in which cost surfaces are derived from cultural data obtained from large-scale cultural inventories.
The spatial complexity of the cost surfaces is assumed to be proportional to the landscape connectivity, and its fractal properties are used to measure and describe such spatial complexity.
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The results from these calculations have been used as frictions for a cost surface.
Cost factors were identified and a cost surface was created for each factor, standardized, weighed and aggregated.
Habitat connectivity was then represented by linking high-quality habitat patches along least-cost paths through this parameterized cost surface.
This results in a "least cost surface" of possible wildlife movement based on habitat preference and barriers to safe passage.
Using these changing to construct a cost surface, we also reconstructed movement paths that were consistent with field observations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com