Abstract
LUSNSGM: Software to Solve Land Use Multiobjective Multicriteria Problem Track: Environmental Management Author(s): Reema Kundu Land use modeling, a significant part of land use planning, is a complex process where the degree of complexity increases when more than one objective and criteria are to be accommodated. This study uses a meta-heuristic technique, non-dominated sorting genetic algorithm (NSGA) and describes a computational tool called LUSNSGM (Land Use Spatial Non-dominated Sorting Genetic Model). LUSNSGM offers users with options for maximization and minimization of land use objectives, which is allocated based on spatial stochastic and partial deterministic sampling of land use parcels. LUSNSGM includes statistical comparisons and fragmentation analysis of the landscape system for a range of land use plan outputs amongst other things. Potential uses for LUSNSGM include study of a range of logical land use allocation plans based on spatial coherence of various land uses, along with conservation and management of land use in concert with ecological and environmental parameters. Reema Kundu University of Colorado, Denver Civil Engineering Department 3239 S.Parker Road, A-108 Denver , CO 80014 US Phone: 303-475-7695 E-mail: rkundu@ouray.cudenver.edu |
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