Showing 4 results for Spatial Distribution
Habibollah Fasihi,
Volume 19, Issue 55 (12-2019)
Abstract
In urban planning, proper distribution of facilities and educational services is important, because only if there is an equity in the distribution of services and land uses, it will be possible for all residents to take advantage from them. The purpose of this paper is to investigate the spatial distribution of schools and the accessibility of households to public education schools in 20th district of Tehran. The research method was descriptive-analytical based on the data and information provided by the education departments. In order to analyzing the spatial distribution of schools we used spatial analysis models in GIS including the nearest neighboring index; multi-spatial analysis and Moran index. Buffer technique has been used to analyze access to public education schools. Findings showed that all the schools at different levels from primary, secondary, to vocational schools had a cluster pattern of spatial distribution. The distribution of public education schools (primary and first period of secondary schools) had a more clustered pattern compared to the specialized schools. 29.9% of the area was not inside the access area of boys' elementary schools. The out of access area of girls' elementary schools, first period boys' high schools and the girls' ones were 6,27, 13/7 and 3/7 percent respectively. While some parts of the study region were outside of schools access areas, In some other parts, 5 access areas of elementary schools and 7 access area of first period high schools were overlaid. This also reflects the unequal spatial distribution of schools in the region.
Ahmad Asadi, Roghayeh Kalateh Meymari,
Volume 22, Issue 64 (3-2022)
Abstract
The present research is descriptive-analytical and in terms of its purpose. Data needed for research were collected by means of documentation (library, magazines) and field materials using a questionnaire. Using the Cochran formula, the sample size of the population was estimated at 383 people and the data were obtained using spatial analysis ArcGIS and SPSS software have been analyzed. In order to analyze the distribution of urban services, the index of access to urban services has been used, which is derived from land use plans of Mashhad city and municipal information and obtained from network analysis (ANP) and spatial statistics tests. Also, to assess the satisfaction of citizens from the distribution of urban services through a questionnaire and using one-sample T-test in spss software. Also, Gray Gray Analysis (GRA) method has been used for ranking the neighborhoods of the District 11 of Mashhad in terms of social justice. The final indicator of the distribution of urban services indicates the favorable distribution of urban services in the Daneshjo, sharif, Tarbiat, farhang, and parts of Azadshahr and Faroghottahsilan. As well as the neighborhoods of Ziba shahr, Shahid Razavi and parts of Faroghottahsilan and Azad shahr, they are in a disadvantaged position in terms of the distribution of urban services. Also, based on spatial self-correlation test, the pattern of indicators in the study area has spatial self-correlation and cluster pattern. The analysis of the distribution pattern of urban services in the District 11 of Mashhad using J statistics shows that the distribution of urban services in the study area has a high concentration of cluster patterns. Based on the analysis of the gray-matter analysis of daneshjo, Azad Shahr, farhang and Sharif neighborhoods, they have high levels of social justice, and other neighborhoods are ranked respectively. In the following, the results of t test indicate that among the neighborhoods, Daneshjo, Sharif, farhang, Tarbiat and Azad Shahr neighborhoods had the highest satisfaction with urban services. The neighborhood of Zibashahr has had the least satisfaction with the distribution of urban services. The results of all the models used in the paper are highly consistent and consistent.
Miss Motahhareh Zargari, Dr Mahdi Boroughani, Dr Alireza Entezari, Dr Abbas Mofidi, Dr Mohammad Baaghideh,
Volume 24, Issue 72 (3-2024)
Abstract
The aim of the present study is to dynamically model the spatial-temporal characteristics of dust in the south and southeast of Iran with REG-CM4 model using monthly dust data and RegCM4 data. For this purpose, the dust distribution of the IDW method along with the dust diagrams were plotted. The RegCM4 model was implemented with the paired Lambert image imaging system for 40 km horizontal separation with the paired chemistry model. The location of monthly and annual dust distribution shows the highest amounts of dust for the cities of Zabol, Bandar Abbas, Zahedan and Jask compared to Sirjan, Kahnooj and Lar stations. The highest frequency of dust in Sistan and Baluchestan (48%), Hormozgan (27%) and Fars provinces with 16% and the lowest frequency for Kerman province (9%). In general, the summer seasons (at Sistan station) and the winter (Kerman station) have the highest and minimum dust events, respectively. The time survey also has the highest amount of dust for the warm months of the year and the lowest for the cold months of the year. July at Zabol station and November and December at Sirjan station have the highest and lowest dust levels, respectively. The RegCM4 climate model also shows maximum dust on the southeast, south and south coasts for different variables.
Mr Mohsen Kalantari, Mr Hossein Tahmasebi Moghadam, Ms Bahareh Akbari Monfared,
Volume 24, Issue 74 (9-2024)
Abstract
only be implemented when the aforementioned land uses have balanced distribution across the city. In this regard, the present study is to investigate and evaluate learning land uses from the perspective of spatial justice for attain of the learning city approach in Zanjan; And the main goal of this research is to find out the spatial equilibrium in the distribution of learning land uses of Zanjan city, in order to develop the learning city approach. The research method was descriptive-analytical and data collection has done by using the library-documentary method. In addition, in order to analyze the findings, after describing the basic concepts of the learning city and taking into account the principles and indicators governing it, from two indicators of capacity and social justice have been used in the framework of comparing per capita and desirable levels, Nearest Neighborhood (NN) and entropy techniques. The results of the analysis of the distribution of learning land uses in the current situation indicate that the distribution of these land uses in the city are concentrated and clustered, with spatial imbalances. In such a way they show very high qualitative and quantitative differences between the three urban areas, especially indicated in the eastern margin of district two. Such a problem has hampered the development of the learning city approach in Zanjan and has resulted in the concentration of these services in the center of the city and their shortage in the peripheral areas as made a profound inequalities between the residential areas of the city. Therefore, the results of the research provide suggestions for reorganizing learning land uses to establish a spatial justice approach at the city level.