چکیده:
Some of the most important characters in convenience are economic, social equity and optimal distribution of facilities of development among people in societies. Planners are, in different societies in direction for decreasing inequity and poverty, de-signing many plans. Fundamental steps in design' planning for capturing these goals is paying more attention to plans with an approach to reality in society. With a sufficient knowledge and diagnosis about real situation, we cannot be successful in planning. The goal of this paper is analysis of the Iran spatial organization with formation of classifica-tion for development. The kind of research is developmental and our method is analyti-cal-description. This research used many important Indexes and various elements with statistical analysis. The technique used is in the form of multidimensional statistics that is cluster analysis. The conclusion with 14 in indexes show that 46 rural Areas are devel-oped in Iran, 130 provinces of rural areas are in the process of development, and 63 prov-inces of rural Areas from Iran are underdeveloped. These conclusions could help the planners and managers for strategic planning in facing with problems in rural Areas in Iran.
خلاصه ماشینی:
"Abstract: Keywords: Classification, Rural Area, Under developing, Cluster analysis, Iran Introduction Implementing land reforms in association with other reforms in 1960's aiming at releasing villag- ers from the yoke of landowners, while collapsing the social, economic and even cultural structures of villages, resulted in emergence of 2.
After the victory of Islamic revolution, just from the beginning of the establishment of construction Jihad in 1979, fundamental changes started in dif- ferent economic, social, and cultural areas of the country's villages and because of strategic impor- tance of agricultural and rural issues, they were at the top of the agenda of government plans to achieve the development of majority of the villages in addition to decreasing the inequality and eradi- cation of poverty.
In this research by using different development indices within the population, economic, infrastructure of education and cultural framework , the rural areas of different cities of the country will be classified using "multivariate statistical analysis" within the framework of "cluster analysis".
Applied model (cluster analysis) After collecting all needed statistics and data for rural areas of 334 cities of the country, it is neces- sary to use a statistical method which classifies the intended data on the basis of similar features.
6 Figure No. 1: a sample of dendrogram resulting from cluster factorization for 5 odds Figure No. 2: View Mode of how dendrogram cut from cluster analysis for the 5th person to create / Figure No. 3: Classification of rural Areas with a view of undeveloped and developed rang Amin Faraji Mollaie He is Ph. D candidate of geography and urban planning in University of Tehran."