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kamyab, hamidreza, Salman Mahiny, Abdolrassoul, Shahraini, Mohammad. (1394). LAGA: A Software for Landscape Allocation using Genetic Algorithm. , 4(2), 153-166. doi: 10.22069/ijerr.2017.3411
hamidreza kamyab; Abdolrassoul Salman Mahiny; Mohammad Shahraini. "LAGA: A Software for Landscape Allocation using Genetic Algorithm". , 4, 2, 1394, 153-166. doi: 10.22069/ijerr.2017.3411
kamyab, hamidreza, Salman Mahiny, Abdolrassoul, Shahraini, Mohammad. (1394). 'LAGA: A Software for Landscape Allocation using Genetic Algorithm', , 4(2), pp. 153-166. doi: 10.22069/ijerr.2017.3411
kamyab, hamidreza, Salman Mahiny, Abdolrassoul, Shahraini, Mohammad. LAGA: A Software for Landscape Allocation using Genetic Algorithm. , 1394; 4(2): 153-166. doi: 10.22069/ijerr.2017.3411

LAGA: A Software for Landscape Allocation using Genetic Algorithm

Environmental Resources Research
مقاله 4، دوره 4، شماره 2، اردیبهشت 2016، صفحه 153-166    اصل مقاله (1.12 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22069/ijerr.2017.3411
نویسندگان
hamidreza kamyab* 1؛ Abdolrassoul Salman Mahiny2؛ Mohammad Shahraini3
1Gorgan university of agricultural sciences and natural resources
2Associate Professor, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Science & Natural Resource
3Assistant Professor, Engineering & Technological Collage, Golestan University
چکیده
In this paper, Landscape Allocation using Genetic Algorithm (LAGA), a spatial multi-objective land use optimization software is introduced. The software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. LAGA is a flexible and easy to use genetic algorithm-based software for optimizing the spatial configurations of land use. LAGA uses a steady-state genetic algorithm with one-point crossover and flip-mutation as genetic operators. A major novelty is that spatial changes are performed according to patch topology that allows to simultaneously integrate changes of different landscape elements that improves the speed and performance. Another feature of this software is that exclusion areas (i.e.: cities, roads and water bodies) can also be locked or un-locked in the optimization process. The program reads and writes maps in Arc ASCII raster format, which is supported by many GIS (e.g. ArcGIS/ArcView, GRASS, and IDRISI). LAGA has been applied in a case study to find optimum land use in the Gorgan Township. The results suggest that LAGA can be a useful tool to land use planning.
کلیدواژه‌ها
Genetic Algorithm؛ Land use Allocation Optimization؛ Landscape metrics؛ LAGA Software
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