Geographical Analysis of Distribution of Physical Indicators of Rural Housing with the Approach of the Optimal Distribution of Space

Extended abstract
1. INTRODUCTION
Housing as spatial crystallization of interests and abilities specific to each area in terms of physical and environmental issues that have distinct patterns over time, as long as one accepts and man-made phenomenon, the human civilization and culture of the most important manifestation in other words embody settlements and housing as the smallest form its skeleton key role in the formation of spatial structure - physical and identity of rural architecture. The importance of housing in the village when the last official census finds more concrete Country, 28.5 percent of the country's population of 75 million live in rural areas. Also, nearly 7.5 million households in the country, villagers who live more than 5 million residential units. This study aimed at collecting physical indicators of desirable rural housing is done. This study tries to Iran from the index specified in Rural Areas and common technique, the rating and ranking of these areas in order to analyze their housing space justice. The relationship between the development of the province in terms of physical indicators to assess housing and balanced development strategies and overcoming the spatial differentiation of the offer.
2. THEORETICAL FRAMEWORK
Spatial analysis of various definitions of literature, although this definition, many common factors in itself. But the differences are also evident that this difference is due to provide theoretical insight and analysis to determine the issue. To explain more appropriate conceptual framework is outlined some definitions.
Regional unbalance and unbalanced distribution services for poor Featuring facilities and major developing countries and Iran. Regional planning and development aimed at reducing regional inequality, the most important issues in numerous developing countries and the regional balance of land use and spatial development regional perspective, in the sense that the relationship between Indicators weight status in an area is such that centers on the distribution of resources and population size, gross inequality gap (as in the case of regional primacy and dominance) does not exist. In other words, balanced regional development effort that the best conditions and facilities for the comprehensive development of all areas to provide, quality of life differences between the regional and the district to minimize and eventually eliminate. It also puts the first priority and create the conditions for a fair distribution of social conditions for comprehensive development of all people is a targeted area.
3. METHODOLOGY
The dominant approach in this research is descriptive - analytical and practical nature. Statistical data of the Statistical Center of Iran were collected. Data from the questionnaire to measure in the form of experts and scholars, including 20 specialist experts in this field have been used. Data were also weighted for analysis and fuzzy TOPSIS and VIKOR is used. The results of these models using Techniques (average rating, methods Borda and Kaplan) integration in order to clarify the relationship between physical indicators rural housing with a rural population of Pearson's correlation coefficient was used.
4. DISCUSSION
Ranking criteria intended to help all three methods Average Rating, Borda and Kaplan obtained, the results of three methods are combined with each other and for each region we mean. Finally, each of the regions with respect to the results obtained from the integration of our ranking in the final rank to obtain privileges.
According to the results, Iran's rural areas are the city of Mazandaran at various levels (mean 1.5) and Isfahan (2) high-level and city-of Sistan and Baluchestan (30) and Kerman, South Khorasan (29.5) have been the most deprived areas
5. CONCLUSION
The results clearly indicate a mismatch between the subject's approaches to spatial equity. Spatial analysis of the spatial equity indices of housing reflects the fact that the Iranian provinces there are significant differences in terms of indices of rural housing. n the central and northern provinces such as Mazandaran, Isfahan, Tehran and Alborz optimal weight control in the field of rural housing indices. Most of the provinces of South and South East relative to the lowest coefficient of rural housing indicators limitations which won a tendency toward disequilibrium part.
Therefore, developing a comprehensive program of housing, particularly rural housing, requiring full identification and thorough analysis of large-scale housing and the factors affecting it. It should be noted that while these indicators as a key element in determining the physical parameters housing of each special place in the system of planning housing. However, each of these factors alone is not a condition to promote some of these indicators. What are the indicators of quality housing in the debate on long enough, to convert them all together is necessary? Overall Comparison of housing in some provinces, a variety of problems both at the micro level and the macro level of society creates the best strategy in the field of prevention and protection sectors.