به‌ كارگيري روش تحليل خوشه‌بندي خاكستري (GCA) در مكان‌ گزيني حالت گسستة فضايي اماكن ورزشي (مطالعة موردي: شهر اصفهان)

Using Gray Cluster Analyze (GCA) Method in Site Selection of Sport Places in Cessation Spatial Status (Case study: Isfahan city)

نتايج نشان داد كه با توجه به محيط پيچيدة شهري و عدم قطعيت در خصوص معيارهاي مكان‌گزيني اماكن ورزشي، روش تحليل خوشه‌بندي خاكستري به ميزان بسيار زيادي قادر است كه با كنترل تمامي عوامل به‌طور همزمان نتايج معتبري را ارائه دهد، كه اين كنترل در قالب روش‌هاي ديگر به‌طور همزمان امكان‌پذير نيست.

The aim of this study was to use of Gray Cluster Analyze (GCA) Method in Site Selection of Sport Places in Cessation Spatial status. The study area of research was three regions 5, 6 and 13 of Isfahan city (Iran) that has 34% of total area and 21% of total population of Isfahan city. For data analyzing was used of Excel, Arc/GIS, Arc/View and Auto Cad software and also coding in MATLAB, and for site selection in cessation spatial was presented a algorithm by Gray Cluster Analyze Method. Results show that by according to complexity of urban texture and non stable for criteria of site selection of sport places, Gray Cluster Analyze can present valid outcome by controlling all criteria simultaneously, that this issue is impossible in other methods.