A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand

摘要: Agricultural land use allocation involves assessment of potential as well demand for various crops to identify the optimum unit each type. Current models often focus on perspective increase in demand. However, processes causing loss arable should be considered correct used conventional processes. In order achieve that, a two stage model crop is presented which uses different such cellular automata, Markov chain, fuzzy rule-based system, goal programming and GIS raster analysis logical framework. model, at first by considering environmental (soil erosion soil salinity) economic (urban expansion) factors leading loss, agricultural allocated. Next, types within area are determined based suitability evaluation crop. This developed rural planning regional scale applied Borkhar Meymeh district Isfahan province Iran predict map 2015. The overall accuracy 0.609 step allowed us draw conclusion that inclusion resulting farmland decline process gives more accurate results than former techniques merely areas. Moreover, according 2015, 27.82%, 21.64%, 7.27%, 5.85%, 7.36%, 6.36% 1.74% areas allocated wheat, wheat-maize, barley, barley-maize, maize, alfalfa potato, respectively. approach has advantageous determine with highest given desired objectives.