National Geographical Organization Scientific- Research Quarterly of Geographical Data (SEPEHR) 2588-3860 17 68 2009 01 20 Spatial Analysis of Clustering Based on Genetic Algorithm Spatial Analysis of Clustering Based on Genetic Algorithm 2 8 27444 FA Mahdi Modiri Associate Professor of Urban planning, Malek-Ashtar University of Technolog 0000-0003-2739-9421 Journal Article 2008 08 18 In order to conduct spatial analysis of clustering, the principles and characteristics of genetic algorithms are utilized. The present paper presents a new method of spatial analysis of clustering based on genetic algorithm. The results of the scientific and practical experiments show that this method can maintain the overall characteristic of distribution and obtain an appropriate result. In order to conduct spatial analysis of clustering, the principles and characteristics of genetic algorithms are utilized. The present paper presents a new method of spatial analysis of clustering based on genetic algorithm. The results of the scientific and practical experiments show that this method can maintain the overall characteristic of distribution and obtain an appropriate result. https://www.sepehr.org/article_27444_a49477811ea58f8124ba7af69931ffa6.pdf