The analysis and evaluation of rural housing texture requires a wide range of effective factors, environmental and ecological factors are one of the important factors. Sub-climates and so on are among the factors affecting the texture of rural housing. In order to understand the environmental factors and the context of a villagechr('39')s mountainous habitat, the need for long distances and precise manual harvesting requires specific difficulties, including distance, time, cost, and ultimately uncertainty. It brings the quality of the final harvest. On the other hand, due to the increasing trend of rural housing development in recent decades and the lack of coordination of new tissues in terms of density with previous ones, it shows the indifference of these housing to the former housing and the environmental context of the villages. Today, new computational and numerical tools in architecture, with the advent of advanced mathematical knowledge in the field of architecture, have brought new dimensions to this field. Will provide. The main purpose of the present study is to investigate the effect of green and dry tissue densities as natural factors on the density of densely populated villages in different climates. This in addition to identifying the density of village textures by emphasizing the comparison of parameters will illuminate new dimensions in the context of village stairs. The simulation analysis tool is a densitometry algorithm based on aerial maps, written by the research authors. The algorithm based on negated aerial maps has the ability to detect natural tissue density in the context of village formation and residential texture. This will reduce the need for physical presence and improve the accuracy of outputs in the analysis of village texture, as well as parameter identification. , The condensation pattern of previous generations into the new generation of housing Will provide a star.

Increased temperatures in urban areas due to high energy consumption and greenhouse gas emissions are some of the problems of today's cities. Urban open spaces in hot and arid climates experience this problem more in summer. The purpose of this study is to show the relationship between morphological components of the urban fabric and thermal comfort through integrated analysis. In this study, urban fabric types were extracted by considering ground space index, floor space index, open space ratio, average height, streets orientation, streets organization, and type of plots according to their configuration of mass and space. To study thermal comfort, a field study was carried out in five neighborhoods in the historical context, for five continuous days in summer. Environmental variables including air temperature, humidity, radiant temperature, and wind speed were measured and the physiological equivalent temperature index was calculated using ENVI-met software and thermal comfort in the neighborhoods with different morphological characteristics was analyzed. The results showed that more than half of the data during the day in the hot season in all five neighborhoods are in conditions of extreme heat stress. Comparison of neighborhoods with different morphological features indicated that two neighborhoods with higher open space ratios, despite the difference in the orientation of the streets and the type of plots, have lower thermal comfort compared to other types. A neighborhood with a higher ground space index and a lower open space ratio has a lower average physiological equivalent temperature.