This study was performed to evaluate the extent of leaf area in Iran from (2002) to (2016) using Remote sensing. For this purpose, we extracted data collection and leaf area index for the Iranian territory from MODIS website. The database was established with programming in MATLAB software to perform mathematical and Statistical calculations repeated. After the analysis of the data in this software a monthly average long-term map was developed. The maps show that the central, East and South-East are almost empty of leaf area or seen very sparse in some areas. In contrast areas of leaves in the northern and western parts of Iran, are good, which generally includes fields, except forest Arasbaran and Hirkany. Precipitation and the temperature, is the main factors for the growth and development of plants, that these two conditions are enumerated in the west due to being on the way of westerly winds. Lowest leaf area index is for January and February and the highest average of leaf area is for May and June. Next, study of 15 years of leaf area index data by cluster analysis based on the calculation of Euclidean distance and Ward method, showed that all 12 months fit in the two main groups and, in fact, divided for two periods of strong and weak vegetation. In this analysis, , April during the cold period and October in the warm period of the year as the transition months and they are located on a separate cluster

This research is conducted on tourist segmentation in the touristy catchment area of Kolan river in Malayer Township. The statistical population is tourists who travel to the area for recreation, tourism and leisure. The research tool is a self-administrated questionnaire. By the method of Simple random sampling we collected a total of 200 questionnaires of tourists in the study area. Descriptive statistics and exploratory factor analysis and cluster analysis was used to analyze the research data. Based on the results of factor analysis were identified even major factor in tourists' motivations at the regional level, including: Rurality, sense of place and place belonging, rest and relaxation, nature-based tourist activities, group outdoor recreational activities, purchase the rural production, excitement and novelty, spirituality and solitude. According to this motivational factors final result of tourism segmentation shows that tourism demand in the market consisted 7 difference segments. cluster 1 with a diverse motivation of 12%, cluster 2 with togetherness motivation 17%, third cluster as a younger age group with adventure motivation 18.5%, cluster 4 with rurality motivation 15%, fifth cluster whit shopping motivation 10%, sixth cluster with sense of place and desire for comfort and rest 19.5%, and seventh cluster with a particular tendency to sense of place 7.5% of the sample population as a whole. The results could be utilize in order to optimize the use of available resources in the area by managers and local authorities, as well as owners of tourism businesses, compatible with the actual needs of  various sectors in rural tourism market.

Identity, as a complex concept, influenced by a variety of factors, makes one thing distinct and unique. Meanwhile, the characteristics of the environment, habits, worldview, cultural characteristics, etc., have a growing influence on the formation of these indices of identity. In other words, this study seeks to investigate the hypothesis of the difference in attitudes of inhabitants of the eastern and western parts of Mashhad towards urban identity indices and, finally, whether the distinction is observable or not? The basis of this study is based on quantitative methods that have been used for research purposes, along with qualitative methods. The output of this discussion is to achieve the identity of the city and its classification according to the purpose of the study. But in the small part, the study method is based on the use of differentiation and logistic models to show the type and level of differences between the eastern and western parts of Mashhad. Based on this, the rank of indicators of urban identity components was obtained in the form of a questionnaire in two categories of eastern regions (regions 4, 5 and 6) and western regions (including 1, 9 and 11) from the residents' perspective. The completed questionnaires were entered into the statistical database and analyzed using statistical software such as Excel and Spas. Study shoes that: 1- Regarding the formic index, studies show that variables such as high buildings, traditional architecture and natural form of place are variables that cause segregation of residents of eastern and western parts of Mashhad. 2- The results in Function indices also indicate that variables of vibrant places, places with activities, boarding times, places with different uses, and safe places are meaningful. 3- Finally, regarding the semantic indices, the effective and differentiating variables in the eastern and western regions of Mashhad, including two variables of understanding the sense of pilgrimage and understanding the characteristics of Islamic culture. Accordingly, it can be said that the attitudes of residents of the studied areas are different from those related to the sense of pilgrimage and the characteristics of Islamic culture in their. the end

In this study, used the data of the Modis satellite. Satellite in the province of Hamadan for a period of 15 years to study and monitor the status of the leaf area index. The leaf area index data were analyzed. After extraction from the Modus website, coding was done in software and then extracted from the maps. Finally, the annual time series of leaf area index was obtained and its relation with rainfall and average temperature during these years. In order to investigate better, the cells above the one representing a better condition and higher leaf area density. In this regard, the years 2002, 2008 and 2011 were (0.01, 0.03, and 0.03%) of the lowest pixels higher than 1 and 2016 with 0.24 and 2014, 2009 and 2010 with 0.07 pixels higher than 1, the highest number of pixels. The common aspect of all years shows that in terms of pixels above the common places, all the years: the southern Hamadan gardens in the south of the Moradbeyk Valley, the Nahavand West fields, the south-east Malayer Gardens, the protected area Lashgar in the south-east of Malayer. The only difference seen in different years is the number of pixels. Finally, the time series of the data were the highest in 1389 and the lowest level of leaf area in the years 1381 and 2008.

Spatial Analysis of Crimes at Different Hours of the Day, the Days of the Week, Month, and Seasons is an Effective Way to Control and Prevent Urban Crime. These analyzes give city management and other city safety officials, including law enforcement officials, the possibility to take preventive measures to eliminate or mitigate the effects of these factors in the city. The purpose of this study was to investigate the spatial analysis of theft crimes on a daily, weekly, monthly and seasonal basis in the 12th metropolitan area of Tehran. The research method in this article is descriptive-analytic. The comprehensive statistical data included the statistical blocks of 1390 in the neighborhoods of the 12th district of Tehran and the crimes related to theft in 2010. The most important statistical tests used are the Center-Medium and Oval-standard deviation tests, and from among the clustering tests, the nearest neighbor index is used to identify massive cores. The results of this study indicate that 446 crimes related to theft, Ferdowsi and Lalehzar neighborhoods, and Sa'di Baharestani have the most crimes and minorities in Kosar and Mokhtari. The pattern of distribution of crimes in the 12th region is clustered and the most important crustal focal points are formed at the intervals of the Shemiran, Iran, Baharestan - Saadi, Ferdowsi -Laleh Zar, Arg Pamenar, Imamzadeh Yahya and the Cascade. The spatial analysis of stealing crimes also suggests that the direction and extent of theft is different at different times of the day, weekdays, and on a monthly basis.

Identifying barriers and adaptation requirements is crucial for the successful implementation of climate change adaptation practices at the local level, especially in mountainous rural communities with limited local resources and technology. Due to the importance of this issue, in the present study, the barriers and requirements for adaptation to climate change in mountainous villages were investigated. The present research is descriptive-analytical in terms of purpose and method. The data collection tool was a questionnaire, free interview and observation of the researcher from the study area. The statistical population of rural households is Papi section of Khorramabad city (N = 2346). Using Cochranchr('39')s formula and sampling method, 330 households were selected as a sample. To analyze the data, descriptive statistics and exponential exploratory co-integration rank test (Johansen method) were used. The results showed that farmers in the mountainous villages of the study area face several adaptation barriers that are more serious institutional, normative, technological and information and cognitive barriers. Given that adaptation conditions are an important factor in reducing or eliminating adaptation barriers and improving farmerschr('39') adaptation capacity to climate change, local economic development, local infrastructure, production technology, and the granting of micro-credentials are the most prominent adaptation requirements in these were the grounds. In addition, due to the effective role of government, cooperatives and villagers themselves in rural development, a rational adaptation framework for selecting optimal adaptation strategies in cooperation with these three, as appropriate regional adaptation measures and policies for research proposals was presented.

The emergence of a variety of inequalities, widespread poverty, malnutrition and ... were examples of the effects of urbanization. For this reason, many scholars and experts have focused on the quality of life, in order to improve living conditions and improve the quality of life of human beings. Many studies show that satisfaction with different dimensions and characteristics of the neighborhood affects residents' quality of life. Considering that satisfaction with life, i.e., the full satisfaction of all parts of life, if this kind of satisfaction does not develop among residents, more serious problems such as intra-urban migration, severe class contradictions and the problem of uplifting and down-town faces Accepts. Therefore, identifying the effective factors on residential satisfaction in each neighborhood, which is in accordance with the needs of the residents of that neighborhood, is one of the main goals of urban planners in order to increase residential satisfaction. The purpose of this study was to investigate the effect of location and quality of environment on improving citizens' satisfaction from neighborhoods. The research method was descriptive-analytic, data collection method, library and survey, sample size was estimated 315 by Cochran formula. In order to test the hypotheses presented in this study, structural equation modeling was used in Lisrel software environment. The results of this study indicate that spatial sense of belonging and quality of environment have a significant effect on residents' satisfaction with the neighborhood.

In the history of humanity, human always has suffered all difficulties with effort to reach to comfort and well-being until the human provides a way to achieve the comfort. In the viewpoint of climate four elements have significant role in formation of human comfort and discomfort conditions that according to the climatic conditions in different areas, the type and effect of these elements on individuals are also different. The aim of this research is to determine the areas of climatic comfort. For this purpose, temperature, precipitation and humidity data were derived from database of Esfazari for Khuzestan province during statistical period 1965 to 2014. In this process, at first discomfort climate has been defined using temperature, precipitation and humidity based on distribution probability conditional. This research is to determine the areas of climatic comfort in Khuzestan province using multivariate analysis (Cluster analysis and Discriminant analysis) and spatial autocorrelation pattern (Hot Spot index and Moran index) with emphasis on architecture. The results showed that the areas with climatic comfort are included in north and east parts of Khuzestan province. However, the areas of climatic comfort by spatial method have been limited somewhat. Results further indicated that the areas of climatic comfort have decreased significantly towards recent periods especially in cluster analysis and discriminant analysis that a trend of reduction has been remarkable in cluster analysis (from 23.60% in the first period to 17.60% in the fifth period) and discriminant analysis (from 26.97% in the first period to 14.98% in the fifth period).

The creative urban area must be able to support the economy of the urban area, intelligent transportation, management rehabilitation as well as improving environmental performance, and also it can be providing the grounds for the realization of social capital in order to achieve the indicators of social capital. The present article aims to identify the factors for the realization of the model of creative urban area from the perspective of social capital in District 11 of Tehran. The methodology of research is descriptive-analytical and after referring to library resources, the ideas, views of related theories and the concepts of the research were examined. Statistical sample included academic community and urban specialists working in scientific centers. A questionnaire was used to examine the views and opinions of the academic community and urban specialists working in scientific and specialized interview centers. In this regard, SPSS and Excel software were used to answer the questions and achieve the objectives of research and analysis of the results of the questionnaires. The results of the research showed that the indicators of turnout, attendance at meetings related to regional affairs and creative goals, level of trust in institutions at different levels, level of information about local and national affairs and talent search, level of feeling of influencing events. And the specific values ​​of each of the six factors were higher than the value of 1. Also, studies indicated that the cumulative variance explained by the relevant factors in the study sample is about 69.879, which explains the development of a model of a creative urban area in the 11th district of Tehran and represents 70% of the model realization based on the social capital approach.

Deterioration of urban textures is an issue that most cities in Iran are faced with and the organization of such textures is of great importance. One of the safest and most practical solutions for urban planners is to assess the feasibility of regenerating such textures to determine the levels that can be regenerated and are relatively good and tolerable for urban society. Therefore, the present study aims to investigate the feasibility of regenerating worn-out textures of Ilam City based on urban smart growth approach using a descriptive-analytical methodology. The statistical population of the study includes residents of central worn-out texture of Ilam city (population: 12676 people), 384 of whom are selected as the sample of the study using cluster sampling method. The data collection tool is a researcher-made questionnaire that has been confirmed by face validity and Cronbach’s Alpha coefficient, turning out to be 0.701. Data analysis is done using single-sample t-test, fuzzy multi-criteria analytical hierarchy process (fuzzy AHP), and its integration with GIS layers. The findings show that the condition of worn-out textures of Ilam city is unsuitable in terms of urban smart growth approach. Evaluation of the digital strata shows that some indicators (including size of the sections, access to services, main and secondary access points) are in a good condition and others (including unused land, population density, gender ratios, active population, employment rate, and literacy rate) are in a poor condition. Finally, the results show that 2.3 hectares of the worn-out texture of Ilam City, including 22-Bahman Square, Ashrafi Esfahani St. where it crosses Resalat Intersection, the northern edge of Moghavemat Intersection, the northern edge of Imam Square, and the area around Koudak Park, have the highest priority for regeneration and revitalization.

ose of this paper is to investigate the barriers and challenges of home businesses from the perspective of home business experts and owners using the Delphi method and confirmatory factor analysis. The purpose of this study is applied research and descriptive-analytical in nature and has a qualitative approach. The statistical population of the study consists of two groups. The first group included experts from the Bureau of Co-operation, Labor and Social Welfare, and the Bureau of Cultural Heritage, Crafts and Tourism, and the second group consisted of home business owners. The sample size for the first group was 28 people using snowball or chain sampling and the second group is based on the statistics of about 1000 people in rural areas of Isfahan province which was determined 276 people according to Cochran formula. Data were analyzed using SPSS 23 software. Delphi technique was used to identify the existing challenges of Isfahan rural communities home businesses. Results in the qualitative part of the study indicated that the most important challenges facing home businesses are structural and managerial factors, policy making, financial and economic, individual-personality, research and information. In the quantitative section, using confirmatory factor analysis, there are 5 factors, namely: financial and economic factors, managerial and structural factors, weaknesses in comprehensive rules and policy, research and information, and personal and personality factors which are 78/73. Explains the percentage of total variance

Rural management has always undergone various changes. Today, this pillar is the responsibility of the rural municipality Foundation. The purpose of forming this institution is to have a strong executive force in order to develop rural areas. rural municipality, as the executor of village programs and projects, has an important role in reducing urban and rural inequalities and improving the development of the village. Determining the degree of success of rural municipality in performing tasks is possible when its performance is carefully measured. The purpose of this study is to assess the performance of rural municipality Foundation in terms of economic, social and environmental indicators in rural areas of Sarbisheh. The research method is descriptive-analytical and based on data collection in the field through a questionnaire. The statistical population of the study consisted of heads of households (1931 households) in 30 villages with rural areas. The sample size at the level of heads of households was calculated using the Cochran's formula of 320 people. The result of one-sample t-test showed that the best performance of rural areas is significantly less than 0.05 in terms of social indicators with an average of 3.78. Also, a significant difference was observed between the studied villages in the field of social indicators with a significant level (0.008), economic indicators with a significant level equal to (0.004) and environmental-physical indicators with a significant level (0.047). In terms of social performance, Dehneh Chah village with an average of 4.43, in terms of economic and environmental performance, Baghestan village with an average of 3.90 and 4.16 are in first place. The study of paired t-test with a significance level of less than 0.05 and an average difference of (-1.271) indicates that the situation of rural development indicators has become more appropriate after the establishment of the rural municipality Foundation.
Keywords: Dehyariha performance, economic, social and environmental indicators, rural areas, Sarbisheh.