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Showing 5 results for Nazmfar


Volume 20, Issue 4 (Winter 2017)
Abstract

The aim of this research Evaluating and prioritizing areas Based on parameters creative city of Sanandaj. Type of research is Practical and method used in this study is Analytical-descriptive. For analysis of data was used from the model of network analysis, TOPSIS, multivariate regression analysis questionnaire.Statistical.The statistical population Consists of the five regions in Sanandaj and The criteria research includes 21 sub-indices creative cities is in the context Including 4 overall indexes. The results of the ANP model Show innovation criteria with 0.063 the greatest impact in the region to the Creative region in Sanandaj. The index of the number of researchers at 0.116 and number of inventions with 0.088 Have the most important role in the realization of their creative city of Sanandaj. Checking status of cultural services, the region three with the topsis 0.9596 in the First place and Region four with the topsis 0.2851 were the last rank about level of creativity a level of creativity between the regions of Sanandaj. The calculation of the relationship between the creative city and the current status of these components shows 63.7 percent of the realization that the creative regions of Sanandaj city Improve and increase the application of creative city components on statistical analysis of the questionnaire, Human Capital Index with the (4.24) percent and the quality of life with a (3.82) Have greatest and less less less less impact on Movement of a Region to creative region in Sanandaj. Keywords: Creative City, innovation, network analysis, TOPSIS, regions of the Sanandaj city  

Volume 21, Issue 4 (Winter 2017)
Abstract

Housing prices in a city spatial analysis, spatial vision of the city in terms of housing prices creates existence thoroughly. Using such an analysis can be found in the city, where prices are high or low in the analysis. This study were conducted aims to achieve spatial pattern of housing prices in the city. The purpose of applied research and in terms of the nature and method is analytic. The population of the city of Tabriz in 1390, is the residential apartment. Analysis of the spatial pattern analysis is used, cluster analysis in GIS maps and kriging interpolation method. The results of index rating average nearest neighbor with standard 88/22 and P Value 000/0 shows the distribution of cluster housing prices at all levels. According to statistics of General G, P Value and Variance value is zero, indicating a cluster pattern with a high concentration. The results show that the highest concentration of hot spots hot spots (highest price) in the East part of the city with the highest concentration of cold spots (lowest price) in the north, north-western and south-western city of Tabriz. Geocaching and no points given little value estimation using kriging interpolation using adjacent areas indicate that11/34 percent of housing in Tabriz has less than a million.

Volume 24, Issue 3 (Fall 2020)
Abstract

Extended abstract
Introduction
Land use is one of the most important biophysical and socio-economic characteristics in any watershed. The science of land change has recently been introduced as one of the fundamental components of global environmental change and sustainable development research. Monitoring land changes is important in future planning and natural resource management. Therefore, the need to detect such changes in an ecosystem is very important. Therefore, the need to detect such changes in an ecosystem is very important to take appropriate action if necessary. . Due to the fact that Lake Urmia is an important ecotourism center in Azerbaijan, with the drying up of the lake, Greater Azerbaijan and all the areas affected by this phenomenon will face a recession of domestic tourists. These factors, in turn, will lead to the migration of residents of the villages of this region to the surrounding cities and social problems in these cities. Its catchment area has been one of the water resources of this area[r11] . But the extent to which these changes, and especially the change in land use, have taken place, requires special study. In general, it is possible to study land use changes in both terrestrial and remote sensing methods. However, in recent decades, with the development of hardware and software facilities for processing satellite images, as well as the ease of access to multi-spectral and ultraviolet images, the use of remote sensing techniques to produce land use maps has become more common. The use of remote sensing technology has a special place in natural resource studies. Multi-time comparison, information updates, digital processing, data diversity, and data transfer speeds have made remote sensing the most important technology in detecting changes.
Methodology
The approach of the present study is developmental-applied and its descriptive-analytical method. According to the subject of the research and in line with the objectives defined in this research, satellite image with the specifications listed in Table (1) and the softwares of Google Earth, ENVI4.8, ArcGIS10.2 have been used. To use satellite imagery to perform techniques, all images must have the same coordinates. Remote sensing techniques, especially those used to classify land use and detect changes, are usually monitored and analyzed based on similar pixels in multi-time images; Corrections, images are not properly geometrically and radiometrically corrected, research accuracy is reduced. Thus, the satellite images of 1989, 2000, 2016, and 2019 were returned to the image with an RMS error of 0.42 pixels, capturing 20 control points from the image surface to the image method. In geometric correction, the ground control points were tried to have a good distribution at the image level so that the mathematical model used to calculate the unknown coefficients in the equation would have less error. To convert the corrected image coordinates to the non-corrected image, a second-order function was used. . In this study, the numerical value reduction method of dark pixels for radiometric correction of images has been used. In this method, a constant value of the total value of the pixels in a given band is reduced to apply radiometric corrections to each satellite image. In the next step, the images were mosaic due to the location of the study area in two women (1368-348)[r12] . Then, using field visits and the global location apparatus, instructional samples for each use (lake, agriculture, salt marsh, other lands) were identified in the study area.
Results and discussion
In this study, three supervised classification methods (neural network, backup vector machine and maximum probability) have been used to extract land use maps. By comparing the accuracy of the classification obtained from the methods mentioned in Table (2), it was found that the classification method of the backing vector machine with a cap rate of 99.75% is more accurate than other methods. According to the results of both classification methods of machine vector support and neural network, precise methods for extracting land uses and in separating the phenomena that have close spectral behavior are very successful, especially support vector machine  , which . Which was a bit successful.[r13] 
Conclusion
In this study, first, images of measuring satellites (MSS-TM-OLI) were used and the map of Urmia Lake, lake landscaping and its surroundings were was extracted by applying supervised classification (support vector machine, neural network and maximum probability). . Comparison of image stratification methods showed that the support vector machine method has more classification accuracy than the other two methods due to its general accuracy and higher capability coefficient. The results also show that satellite imagery has a significant ability to extract land uses. Also, in order to investigate the trend of land use change, maps extracted from satellite imagery in 1989, 2000, 2016 and 2019 were compared. Examination of land use maps in the three mentioned periods showed significant changes in land cover. These changes include: Agricultural land use area has increased significantly from 1989 to 2019 due to the favorable area for agriculture and drilling wells. Numerous and the use of aquifers has been underground . Analysis of Landsat satellite images showed that significant fluctuations in the lake's water level have occurred over the years. So so that the water level changes of Urmia Lake from 1989 to 2016 have increased from 5348 to about 2705 square kilometers. However, from 2016 to 2019, due to heavy cross-sectional rains, it had an increase in water area of ​​1644 square kilometers. The images also show that the coastline, especially in the east and southeast of the study area, has a significant number of boys. From 1989 to 2000, the area of ​​this land use increased by 378 square kilometers. Also, between 2000 and 2016, its area continued to rise and increased to 786 square kilometers. However, due to the increase in cross-sectional rainfall during 2016 to 2019, the water level of the lake has increased and some of the salt marshes have been submerged and the land use area of ​​the salt marshes has decreased by 838 square kilometers.



Volume 24, Issue 4 (Winter 2020)
Abstract

Introduction
Industry and economy have a vital part in achievement in of the development of a country. Researchers argue that these developments will seriously damage the global and regional economy and slow the growth of the economy in the future years. In this context, among the factors that have caused rapid and profound changes in the settlement system of the Urmia Lake basin area over the past few decades, economic effects have been one of the important ones. These developments have been able to reduce the integration and effectiveness of the elements of the residential system and the connections between them and cause spatial imbalances. As a result, the establishment of a dysfunctional and fragmented settlement system has become a major issue in many countries in recent decades, in the form of serious economic threats and political instabilitydue to following exogenous development pattern, it will have the greatest impact on the formation and method of settlement and establishment of the existing residential system in Iran; its product has been the formation of an inefficient and fragmented settlement system. In recent decades, this issue has become important for many countries in the form of serious economic threats and political instability of the countries. The main focus of this study is to investigate the economic drivers caused by the decrease in the water level of Lake Urmia in spatial imbalances with a futuristic view in the settlements of the catchment area of this lake.)[r11] present research, various methods are used to extract and identify key components and future constructive drivers. Key components and drivers are a set of factors and variables that have a significant impact on other components inside and outside the system under study and play a significant role in building the future of the system.
Methodology
The present study is a structural analysis and in terms of the nature of the data, it is both qualitative and quantitative, and its method of data collection, is documentary and survey. The statistical population of this study includes experts and development planners of East and West Azerbaijan provinces who were selected by snowball sampling. The questionnaires were completed only by those who are were involved in the development and planning of the province. The analysis of this study using the matrix method was a cross-sectional effect based on dolphin. Also, to analyze the data and information and display them in an understandable way, the method of estimating the kernel density in the software environment of the geographic information system has been used.
Results and Discussion
The findings show the effects of declining economic value on agricultural land, increasing government spending in various sectors, declining production and changing the type of some agricultural products, weakening the tourism sector, creating class gaps (inequalities), smuggling development, and false employment. Changing the cultivation pattern is not strategic due to its high dependence on other outcomes and most of the other resulted variables (. In contrast, the decline in employment in agriculture, rising unemployment and declining incomes in agriculture and animal husbandry were among the most important and strategic consequences of declining lake water levels. Reducing employment in the agricultural sector in rural areas alone is one of the most influential economic consequences in the region, which has been recognized as an important factor in creating spatial imbalances in the study area. In order to examine this consequence more accurately, using the spatial coefficient method and estimating the kernel density, the status of this consequence on the habitat habitats in the study basin was investigated. The results of the spatial coefficient method showed that this region is the exporter of service and industrial labor force, while in the agricultural sector it has less labor force.
Conclusion
Achieving equality and balance in various economic, social and environmental dimensions is one of the characteristics of a country's development. Meanwhile, economic equality is another basic dimension of development. In the present study, an attempt was made to investigate the causes of this inequality and imbalance in the catchment area of ​​Lake Urmia. Structural analysis was used to achieve a forward-looking perspective. In this regard, various groups of experts completed the questionnaire as the panel of experts. Initially, the most important economic implications of declining lake water levels over the next ten years were identified. The results were then analyzed in Micmac analysis software, and the economic drivers of declining lake water levels were identified and analyzed. Finally, proposals were made to prevent the problems caused by unemployment, and consequently, the migration of the inhabitants of these areas. Encouraging small businesses and job creation in the region, as well as providing them with long-term facilities and improving the business environment as one of the most important and effective components for economic development and empowering the private sector, should be considered as solutions This is because providing infrastructure and infrastructure, strengthening enterprises and economic mechanisms, supporting production, paying attention to science and technology parks and growth centers, taking steps to facilitate business, improving the volume of industrial production and boosting production ، اIt will play the most important role in the development of the regional economy. But achieving this is essential to keeping the lake afloat in balance.
Keywords: Spatial imbalance, economic drivers, structural analysis, Mick Mac, Urmia Lake




Volume 27, Issue 4 (Winter 2023)
Abstract

Mosques, as a third place, have had various functions since the beginning of Islam until today. Apart from prayers and rituality, these religious and cultural places have always played a significant role in socio-cultural affairs and strengthening high human ideals. The purpose of the current research is to explain the role of mosques as a third place in the social sustainability of Khorramabad city. The research method is descriptive-analytical and survey type. The statistical sample of the research includes 150 citizens of Khorramabad city, who were surveyed in a simple random way using Sample Power software. SPSS26 and AMOS24 software were applied for data analysis. The results of the single-sample T-test of the research showed that mosques with an average of 2.92 have an inconsiderable role in the social stability of Khorramabad city. Also, the results of the second-order factor model of the research showed that among the studied dimensions, the political-cultural dimension with a load factor of 0.98 has the most impact and the social and economic dimension with a load factor of 0.42 has the least impact in Khorramabad city. Finally, the results of the analysis of the course of the structural model of the research showed that achieving social sustainability through mosques in Khorramabad city by improving the effective indicators in the six dimensions of social capital, social interactions and increasing the sense of bonding, free exchanging the opinions and votes, strengthening social solidarity and strengthening morale. With weighted covariance of 0.49, 0.48, 0.47, 0.42, 0.32 and 0.19 is conceivable.

 

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