LAGA: A Software for Landscape Allocation using Genetic Algorithm
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 in...
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| Format: | Article |
| Language: | English |
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Gorgan University of Agricultural Sciences and Natural Resources
2016-02-01
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| Series: | Environmental Resources Research |
| Subjects: | |
| Online Access: | https://ijerr.gau.ac.ir/article_3411_1ec1c784eb7010e7e59a02454e2712c3.pdf |
| _version_ | 1797311321727827968 |
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| author | hamidreza kamyab Abdolrassoul Salman Mahiny Mohammad Shahraini |
| author_facet | hamidreza kamyab Abdolrassoul Salman Mahiny Mohammad Shahraini |
| author_sort | hamidreza kamyab |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T01:56:54Z |
| format | Article |
| id | doaj.art-764b434fdd0242c0b8d0fd4b53ad90ed |
| institution | Directory Open Access Journal |
| issn | 2783-4832 2783-4670 |
| language | English |
| last_indexed | 2024-03-08T01:56:54Z |
| publishDate | 2016-02-01 |
| publisher | Gorgan University of Agricultural Sciences and Natural Resources |
| record_format | Article |
| series | Environmental Resources Research |
| spelling | doaj.art-764b434fdd0242c0b8d0fd4b53ad90ed2024-02-14T08:36:57ZengGorgan University of Agricultural Sciences and Natural ResourcesEnvironmental Resources Research2783-48322783-46702016-02-014215316610.22069/ijerr.2017.34113411LAGA: A Software for Landscape Allocation using Genetic Algorithmhamidreza kamyab0Abdolrassoul Salman Mahiny1Mohammad Shahraini2Gorgan university of agricultural sciences and natural resourcesAssociate Professor, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Science & Natural ResourceAssistant Professor, Engineering & Technological Collage, Golestan UniversityIn 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.https://ijerr.gau.ac.ir/article_3411_1ec1c784eb7010e7e59a02454e2712c3.pdfgenetic algorithmland use allocation optimizationlandscape metricslaga software |
| spellingShingle | hamidreza kamyab Abdolrassoul Salman Mahiny Mohammad Shahraini LAGA: A Software for Landscape Allocation using Genetic Algorithm Environmental Resources Research genetic algorithm land use allocation optimization landscape metrics laga software |
| title | LAGA: A Software for Landscape Allocation using Genetic Algorithm |
| title_full | LAGA: A Software for Landscape Allocation using Genetic Algorithm |
| title_fullStr | LAGA: A Software for Landscape Allocation using Genetic Algorithm |
| title_full_unstemmed | LAGA: A Software for Landscape Allocation using Genetic Algorithm |
| title_short | LAGA: A Software for Landscape Allocation using Genetic Algorithm |
| title_sort | laga a software for landscape allocation using genetic algorithm |
| topic | genetic algorithm land use allocation optimization landscape metrics laga software |
| url | https://ijerr.gau.ac.ir/article_3411_1ec1c784eb7010e7e59a02454e2712c3.pdf |
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