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        1 - Analysis of space inequalities focused on house quality indices (Case study: Ardebil urban regions)
        ata Ghaffari Gilandeh hosein nazmfar alirezza mohammadi Parvin dadazade silabi
        Background and Objective: Housing is one of real phenomenon and primary subjects that human always face with and he/she is trying to it’s transition and finding proper , rational response for it. Currently , presented subject about housing at world level relate to More
        Background and Objective: Housing is one of real phenomenon and primary subjects that human always face with and he/she is trying to it’s transition and finding proper , rational response for it. Currently , presented subject about housing at world level relate to deficiency and shortage of housing and resident units and also discussions about resident and housing units quality don’t regard in some places approximately. It is regarded for housing and resident planning in every city and finding housing quality space measurement response is one of basic requirements. So , the aim and purpose of current research is measuring housing indices space inequalities at Ardebil city in order to implementation correct and better planning for housing part. Method: Current research is applied according to aim& purpose and it is analytical- descriptive based on nature and used methodology. Requirement data were extracted from Ardebil city statistical data blocks at 1390. Research statistical society in Ardebil city at 1390 include statistical blocks. To investigation of inequality position of housing quality indices and recognition of space pattern , inequality development ; we have been used spatial statistical models , Hot Spot analysis, Morans I spatial auto- correlation in Arc/GIS software. Findings: According to implemented studies , Ardebil city blocks are located in inequality position based on housing quality indices and also districts , regions and sectors which they are located on Northwest and Western parts ; have improper situation about housing quality indices , but central and southern sectors of this city have proper position in mentioned subject.. Discussion and Conclusion: Housing quality indices with inequality distribution pattern in Ardebil city study by clustering method and also there is significant relationship between housing quality and social classes in this city. It is necessary to regard urban planning , housing plans in Ardebil city and Northern , Northwest ( Urban –Rural tissue) parts and they need more pay attention. Manuscript profile
      • Open Access Article

        2 - Measuring spatial justice in the spatial structure of Tabriz metropolis with emphasis on the spatial distribution of educational centers
        parvin dadazade Zahra Rasoulzadeh Hossein Tahmasebi Moghaddam
              Today, educational spaces are one of the most important uses in cities and are of considerable importance compared to other uses of urban services. Allocation of space to this use is one of the important issues that are considered in urban More
              Today, educational spaces are one of the most important uses in cities and are of considerable importance compared to other uses of urban services. Allocation of space to this use is one of the important issues that are considered in urban planning. The metropolis of Tabriz is among the cities in which the spatial distribution of urban services, including educational services, has not been done properly and adequately. In order to solve the problems caused by this issue and also increase the efficiency of these spaces, it seems necessary to pay attention to proper organization and distribution. Accordingly, the present study uses spatial statistics models, hot spot analysis and spatial autocorrelation in Arc / GIS software to investigate the spatial distribution of educational applications in the city of Tabriz. The required data has also been collected by the library method and by referring to the relevant sources and organizations. The results show that there is inequality in the general educational situation in the blocks of Tabriz; Zones 1 and 2 of Zone 2 and Zone 5 of Zone 4, and Zone 1 of Zone 8, Zone 1 of Zone 3 and Zone 3 of Zone 10 have the most weight and Zones 4 and 6 of Zone 5, Zone 2 of Zone 9 and finally Area 1 of Area 6 has the lowest weight of educational uses. In such a way that these areas are at a lower level in terms of stability. Also, according to Moran index, the spatial distribution of educational uses in Tabriz metropolis is clustered. Based on this index, the existing inequality in the distribution of the intended user is quite obvious.Adequate access to public service facilities can be considered as an important indicator for improving the quality of life, which is one of the foundations of justice policies. This helps to meet the basic needs of urban residents, as it has a profound effect on the participation of urban residents in specific physical activities. As a result, poor spatial access to urban facilities can worsen the quality of life for residents of affected neighborhoods. Therefore, to achieve a sustainable distribution system of urban facilities, ensure adequate and easy access of urban residents to these facilities, and improve the quality of life of affected residents, its study is important for urban planners in recent decades, Tabriz metropolis due to development The growing physical and demographic population is witnessing the imbalance of the distribution system of public land uses, including educational land, and the balance of spatial distribution of land uses and education centers in this metropolis have been disturbed, causing spatial inequality in access to facilities. Therefore, the purpose of this study is to analyze the spatial distribution of education services using spatial statistics in the GIS environment in the metropolitan areas of Tabriz and to identify the inequalities in the availability of educational services in the metropolitan areas of the city, because attention to equitable distribution These services will increase social welfare, the spatial balance of the population, maintain the safety of citizens and reduce social tensions. In line with the above objectives, the present study seeks to answer this question: Spatial pattern of service distribution and educational uses What is it like in the blocks of Tabriz metropolis?Methodology:     Due to the nature of the subject and objectives of the research, the type of applied research and research method is based on the descriptive-analytical method. The required information has been obtained by the documentary method and based on the latest comprehensive plan of Tabriz metropolis (2011). The statistical population of the study includes ten areas of Tabriz metropolis. To study and identify the distribution of educational uses and weights of this use in different areas of Tabriz and also its distribution pattern from spatial statistics models, spot analysis Hot Spot Analysis and Spatial Autocorrelation (Morans I) are used in GIS software.Results and discussion:      Hot spots analysis has been used in different areas of Tabriz in order to investigate the spatial distribution of educational uses. This statistical analysis calculates Gettys-Ardji statistics for all features present in the data. Also, according to the calculated Z score, it can be shown in which blocks the data are clustered with high or low values. As explained in the research method, the larger the Z-score, the higher the values ​​are highly clustered and form a hot spot. In the case of statistically negative and significant Z, the smaller the Z-score, the more intense the clustering of low values ​​and the indication of cold spots. The results of this analysis in two types of numerical and graphic outputs show that the features are randomly, scattered or clustered in space. If the value of the Moran index is close to a positive number (+1), the data have a spatial autocorrelation and their distribution pattern is clustered, and if the Moran value is close to a negative number (1-), the data view is broken and their distribution pattern is scattered. In the case of this tool, the null hypothesis is that there is no spatial clustering between attribute values ​​associated with geographic features. Moran index calculated for 1390 is equal to 0.127204. This value is less than one and on the other hand the value of P-value is equal to zero, it can be concluded that the desired indicators have spatial autocorrelation and because the value of Moran is positive and close to one, so the spatial distribution of educational uses in Tabriz to the form is clustered and concentrated, and this factor shows that spatial justice has not been observed in the distribution of the intended uses. Conclusion:        Therefore, in this study, using spatial statistics models, hot spot analysis and spatial autocorrelation in Arc GIS software, the spatial distribution of educational applications in the city of Tabriz has been studied. The results show that there is inequality in the blocks of Tabriz in terms of the general educational situation. Thus, the blocks with high weight for educational use and high concentration of hot spots are in the desired condition, which includes areas 1 and 2 of area 2 and area 5 of area 4, area 1 of area 8, area 1 of area 3 and area 3 are from area 10. Also, blocks with low training weight and low concentration of hot spots, which include areas 4 and 6 of area 5, area 2 of area 9, and finally area 1 of area 6, which are at a low level in terms of urban sustainability. There are more. Also, the application of general G coefficient showed that the spatial pattern of concentration of educational centers in Tabriz is a random pattern towards high concentration (hot spot). In fact, the areas of Tabriz with a large number of educational centers, are concentrated close to each other and have formed hot clusters. According to Moran's index, the spatial distribution of educational uses in the city of Tabriz is clustered and centralized, and this factor showed that spatial justice was not observed in the distribution of educational uses Manuscript profile
      • Open Access Article

        3 - Spatial modelling of thermal islands according to the effect of environmental factors (Tehran city)
        Ebad Noorifar Azita Rajabi Masoumeh Hadavand
        In recent decades, the city of Tehran has experienced vast changes in its various levels with the increase in population and various activities and infrastructures related to it, and these human activities and changes in land use on an urban scale lead to an increase in More
        In recent decades, the city of Tehran has experienced vast changes in its various levels with the increase in population and various activities and infrastructures related to it, and these human activities and changes in land use on an urban scale lead to an increase in temperature and the formation of urban heat islands. has been This issue has become one of the serious challenges and has occupied the minds of the scientific community. Considering the importance of the topic, the purpose of this research was to model thermal islands according to the environmental factors of Tehran city. The research conducted is based on a quantitative, descriptive-analytical method. First, Landsat 5 and 8 satellite images were obtained to calculate the surface temperature of the earth using TM, OLI, TIRS sensors from the United States Earth Science Base, related to the summer season of 2010 and 2021, identification of high-risk and low-risk urban heat island clusters from the global Moran test (spatial Moran autocorrelation) and local Moran (hot spot and cold spot analysis) were performed. After ensuring that the spatial distribution pattern of urban heat island is clustered, high-risk and low-risk clusters of urban heat island were identified. According to the spatial distribution pattern of high-risk and low-risk clusters, the possible influencing factors such as height, slope, direction, solar radiation, traffic density, etc., were investigated and analyzed. In the ordinary least squares (OLS) model, the three independent variables of height, vegetation and construction density had the greatest influence in the model Manuscript profile
      • Open Access Article

        4 - Application of spatial statistic in assessing canopy cover variation of rangeland plant species of sheep fescue
        amir hoseim kavian por ardavan ghorbani gholam ali heshmati
        According to the continuous changes in natural ecosystems, particularly rangelands, and variety of affecting factors and the cost of direct measurement, the application of new techniques in different studies is necessary. In this study the capability of spatial statisti More
        According to the continuous changes in natural ecosystems, particularly rangelands, and variety of affecting factors and the cost of direct measurement, the application of new techniques in different studies is necessary. In this study the capability of spatial statistical techniques in the assessment of canopy cover variation of Festuca ovina L. species was investigated. Canopy cover was recorded using plots at 45 sites. Then Inverse Distance Weighted (IDW) and Kriging were used for interpolating and estimating of F. ovina canopy cover using GS+5 and ArcGIS10. Results showed that the best variogram was exponential, and simple and ordinary Kriging were the best interpolation methods in comparison with the other methods according to the results maps accuracy assessments. Effective range of F.ovina canopy cover (48300 meter) is close to some chemical and physical soil properties including, acidity in the second depth (51500m), and organic matter in the second depth (47710m), clay in the first depth and sand in the first and second depths (49400m). Spatial variability of mentioned soil characteristics have affected the percentage of F. ovina canopy cover and at the distance greater than effective range, samples have no spatial dependence. To investigate the relationships between mentioned soil characteristics and canopy cover of F. ovina, and the optimal sampling interval can be considered between 47710 to 49400 meters. Results of this study show that spatial statistic can be used for evaluating canopy cover of rangeland species variability. Manuscript profile
      • Open Access Article

        5 - A Survey of Space Distribution of Informal Occupations in Cities (A Case Study of Jiroft)
        Gholamali Khammar Zahra Seyedy
        Informal economy is a reflection of the changes in the capitalist world, especially in developing countries which plays a major role in creating employment, and generating income. This kind of jobs with their impressive growth causes problems in the field of urban manag More
        Informal economy is a reflection of the changes in the capitalist world, especially in developing countries which plays a major role in creating employment, and generating income. This kind of jobs with their impressive growth causes problems in the field of urban management. The aim of this study was to identify the socio-economic situation of the employed informal sector of Jiroft and the status of its distribution in the city aimed to organize the future plans. The method of this study is descriptive-analytic in which the necessary data were collected through documents and work-style. Continuous discussion about the informal jobs of 130 workers in the social and economic situation was performed and its position on the map was located in order to analyze space and show the status of the cluster analysis, pattern analysis, centrality and ways of distribution of this complication in the form of GIS software jobs. Spatial analysis of the findings made on the informal economy of Jiroft indicated that the spatial distribution of these occupations was normal and because of its placement along the main ways of the city, the occupations have taken a cluster shape with a distribution of the South-North direction and with a standard deviation of approximately 68% of the effects of the consequences.   Manuscript profile
      • Open Access Article

        6 - Investigating temporal-spatial changes in the average temperature of the Abarku-Sirjan basin
        Hamed Barzegari Amir Gandomkar Alireza Abbasi