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تحلیل فضایی

در نشریات گروه زیست شناسی
تکرار جستجوی کلیدواژه تحلیل فضایی در نشریات گروه علوم پایه
تکرار جستجوی کلیدواژه تحلیل فضایی در مقالات مجلات علمی
  • صابر کاس کوزانی، مهسا یوسفی نیا نهزمی، هادی اسکندری عین الدین*، حسین واحدی نژاد

    از زمان های گذشته حوادث آتش سوزی مشکل اصلی مدیریت شهری و توسعه پایدار شهری بوده است. علاوه بر عوامل انسانی و اجتماعی، وقوع آتش سوزی ها تا حد زیادی تحت تاثیر محیط فیزیکی شهری است. تحقیق حاضر به لحاظ هدف کاربردی و از لحاظ ماهیت توصیفی- تحلیلی می باشد. اطلاعات موجود حوادث آتش سوزی (طی دوره پنج ساله 1396-1400) با استفاده از تحلیل های مکانی موجود درGIS ، ازنظر زمانی- فضایی، تحلیل شدند. سپس با استفاده از تحلیل فضایی لکه های داغ الگوی توزیع فضایی حوادث آتش سوزی در سطح شهر اردبیل مشخص شد. همچنین از تکنیک تخمین تراکم کرنل (KDE) جهت تحلیل مقادیر زیاد یا پایین حوادث آتش سوزی در سطح شهر اردبیل استفاده شده است. طبق نتایج حاصل از پژوهش شدت تراکم حوادث در بخش های مرکزی و لکه هایی از حاشیه شهر بیشتر است.حدود (40%) از مساحت شهر در نواحی با خطر آسیب پذیری زیاد و بسیار زیاد قرار دارند. میزان آسیب پذیری در بخش مرکزی شهر و محله هایی که شرایط نامناسب اقتصادی-اجتماعی و محیطی دارند، بالا است.

    کلید واژگان: تحلیل فضایی، مدیریت شهری، خطرآتش سوزی، GIS
    Saber Kas Kozani, Mahsa Yousefiniya, Hadi Eskandari Einodin *, Hossein Vahedi Nejad

    For a long time, the fire incident has been the main problem of urban management and sustainable urban development. In addition to human and social factors, the occurrence of fires is largely influenced by the urban physical environment. The current research is applied in terms of purpose and descriptive-analytical in terms of nature. The available information on fire incidents (during the five-year period of 2014-2018) was mapped and analyzed in terms of space and time using the spatial analysis available in GIS. Then, using spatial analysis of hot spots, the pattern of spatial distribution of fire incidents in Ardabil city was determined. Also, Kernel Density Estimation (KDE) technique has been used to analyze high or low fire incidents in Ardabil city. According to the results of the research, the density of incidents is higher in the central parts and in spots from the outskirts of the city. About (40%) of the city's area are located in areas with a high and very high risk of vulnerability. The degree of vulnerability is high in the central part of the city and neighborhoods that have unfavorable socio-economic and environmental conditions.

    Keywords: Spatial Analysis, Urban Management, Fire Risk, GIS
  • قاسم فتحی، علیرضا محمدی*، عطا غفاری گیلانده

    پژوهش حاضر با هدف ارزیابی جغرافیایی اپیدمیولوژی بیماری های تنفسی در مناطق شهر تهران انجام یافته است. روش پژهش توصیفی-تحلیلی و جامعه آماری پژوهش 1918 نفر بیمار تنفسی در کلانشهر تهران است. تجزیه و تحلیل داده ها در نرم افزار ARCGIS صورت گرفت. جهت نمایش پراکندگی مبتلایان در بازه زمانی 1400-1397 از روش تراکم نقطه ای استفاده گردید و سپس با استفاده از ضریب موران پراکنش فضایی بیماران بررسی شد، همچنین با استفاده از خودهمبستگی فضایی میزان فاصله گسترش بیماری های تنفسی در بین مناطق شهر تهران تحلیل گردید. نهایتا با استفاده از ضریب موران محلی پیوند فضایی موران تک متغیره، خوشه بندی فضایی مناطق 22 گانه شهر تهران براساس مبتلایان بیماری های تنفسی شکل گرفت. یافته ها نشان می دهد که روند گسترش شیوع بیماری های تنفسی در تهران در سال های 99، 98 و 1397 به سمت مناطق نیمه شرقی است و بیشترین انتشارفضایی در مناطق 13 و 14 بعنوان کانون بیماری صورت گرفته است و در سال 1400 اغلب مناطق بخصوص شمال شهر درگیر بیماری شده اند. در سال های 99، 98 و 1397 تا شعاع فاصله 75/2 کیلومتری بین مناطق شهر گسترش بیماری روند صعودی دارد و از آن به بعد به دلیل افزایش فاصله مکانی و کاسته شدن از تراکم جمعیت انتشار آن کاهش می یابد. الگوی فضایی بیماری های تنفسی در تهران از نوع خوشه ای می باشد که مناطق 13 و 14 در قسمت HH نمودار پراکندگی موران با خودهمبستگی فضایی مثبت بعنوان کانون اصلی انتشار بیماری، مناطق 9، 10، 11، 15، 21 و 22 در قسمت HL نمودار پراکندگی موران با خودهمبستگی فضایی منفی و وجود ناهمگونی فضایی در تعداد مبتلایان و در خوشه LL منطقه 17 و در خوشه LH مناطق 1، 3، 6، 7، 18، 19 و 20 با خودهمبستگی فضایی منفی قرار دارند.

    کلید واژگان: تحلیل فضایی، اپیدمیولژی، بیماری تنفسی، شهر تهران
    Ghasem Fathi, Alireza Mohammadi *, Ata Ghafari Gilandeh

    The present study was conducted to geographically evaluate the epidemiology of respiratory diseases in the regions of Tehran. The research method is descriptive-analytical and the statistical population of the research is 1918 respiratory patients in Tehran metropolis. Data analysis was done in ArcGIS software. To show the distribution of patients in the period of 2018-2021, the point density method was used, and then the spatial distribution of patients was checked by using Moran's coefficient, and also by using spatial autocorrelation, the spread of respiratory diseases was analyzed among the regions of Tehran. Finally, by using the local Moran's coefficient of the single-variable Moran's spatial linkage, the spatial clustering of 22 districts of Tehran was formed based on respiratory disease sufferers. The findings show that the spread of respiratory diseases in Tehran in the years 2020, 2019, and 2018 is towards the semi-eastern regions, and the highest spatial spread has occurred in regions 13 and 14 as the center of the disease, and in 2021 Most areas, especially the north of the city, have been affected by the disease. In the years 2020, 2019, and 2018, the spread of the disease has an upward trend up to a distance of 2.75 km between the city areas, and from then on, due to the increase in distance and decrease in population density, its spread has decreased. The spatial pattern of respiratory diseases in Tehran is of a cluster type, with areas 13 and 14 in the HH part of the Moran scatter diagram with positive spatial autocorrelation as the main focus of disease spread, areas 9, 10, 11, 15, 21 and 22 in The HL part of the Moran scatter diagram with negative spatial autocorrelation and the existence of spatial heterogeneity in the number of patients and in the LL cluster of region 17 and the LH cluster of regions 1, 3, 6, 7, 18, 19 and 20 are located with negative spatial autocorrelation.

    Keywords: Spatial Analysis, Epidemiology, Respiratory Disease, Tehran
  • قاسم فتحی، علیرضا محمدی*، عطا غفاری گیلانده

    مطابق آمارها، کلانشهر تهران در سال های اخیر همراه با شیوع اپیدمی جهانی بیماری های تنفسی و همچنین تنزل شاخص های اجتماعی، زیست محیطی-بهداشتی و آلودگی های هوایی در معرض گسترش بیماری های تنفسی قرار گرفته است. این پژوهش کاربردی و توصیفی-تحلیلی با استفاده از آمار فضایی به تحلیل مکانی-زمانی بیماری های تنفسی در شهر تهران پرداخته و برای شناسایی و درک الگوهای مکانی بیماری های تنفسی در سطح مناطق 22گانه کلانشهر تهران، از مدل های آماری و گرافیک مبنا در محیط سامانه اطلاعات جغرافیایی GIS استفاده شده است و در نهایت با استفاده از آزمون های آماری، الگوهای کلی بیماری تنفسی در سطح مناطق شهر تهران تعیین گردید و در نهایت نقشه های بیماری با استفاده از روش تراکم کرنل استخراج و براین اساس سایر تحلیل انجام یافت. جامعه آماری پژوهش، مناطق 22 گانه شهر تهران است که داده های بیماران تنفسی در بازه زمانی 1397 الی 1400(به تعداد 1995 نفر) است. مطابق تحلیل میانگین مرکزی و بیضی انحراف معیار، منطقه 12 بعنوان یکی از مناطق مرکزی شهر، کانون بیماری های تنفسی شهر تهران است، همچنین با استفاده از شاخص نزدیکترین همسایگی در آزمون خوشه بندی، الگوی توزیع داده های بیماری های تنفسی در سطح شهر تهران بصورت یکنواخت است. با استفاده از مدل تخمین تراکم کرنل در بازه زمانی 1400-1397، در سال 1397 مناطق همسایگی منطقه 12، در سال 1398، منطقه بیشترین درگیری این بیماری را داشته اند17، در سال 1399 با اقدامات پیشگیرانه، منطقه 17 از کانون بیماری ها فاصله گرفته و در پی آن مناطق همسایگی این منطقه از درگیری زیاد با بیماری های تنفسی به دور می مانند. در سال 1400، علاوه بر مناطق درگیر، مناطق شمالی شهر تهران نیز بعنوان کانون های جدید انتشار بیماری های تنفسی معرفی می گردند.

    کلید واژگان: تحلیل فضایی، بیماری تنفسی، اپیدمیولوژی، مدل تخمیت تراکم کرنل، شهر تهران
    Ghasem Fathi, Alireza Mohammadi *, Ata Ghafari Gilandeh
    Introduction

    Respiratory diseases are one of the most important diseases that have involved the world community (Kermani et al., 2015). According to the statistics of the World Health Organization, one-fifth of people in the world are suffering from these diseases, and in 2005, the ranking of chronic respiratory diseases was 13, and in 2016, the ranking of this disease reached 5. Also, chronic respiratory diseases ranked 11th in terms of the occurrence of physical disabilities in 2020 (World Health Center website, 2021). Respiratory disease, which is generally related to lung disease, includes a group of diseases that cause lung dysfunction by involving parts or parts of the respiratory system. Sometimes respiratory disease is caused by damage to the pleural membrane (pleura), pleural cavity, or respiratory muscles and nerves. Every year, lung diseases affect many people in society, which reduce the level of performance of a person in daily activities. Respiratory system diseases in England are the most common cause of referral to general practitioners (Etamidi et al., 2018). Respiratory diseases are classified into two types, infectious and non-infectious (Khoshdel et al., 2013), infectious respiratory diseases are widely distributed at the community level and are transmitted from person to person, often in the form of lung infection or the same essence. Pneumonia occurs (Gunathilakaabc, R., et al, 2018), and its non-infectious type is often caused by exposure to environmental and biological pollutants (Kimberly, A, 2017). Iran's respiratory diseases are always a major challenge. According to a four-year study, the rate of asthma in the adult population of the country is 9%, and in children and adolescents, it is 11%. In Iran, chronic respiratory diseases are the third cause of death after cardiovascular diseases and road accidents (Ethmarian et al., 2012).On average, 200 people die in Kalansehr, Tehran, due to respiratory diseases per year (Kermani et al., 2015). Therefore, it is necessary to identify and plan for the reduction and prevention of these diseases in the city of Tehran. In order to make correct preventive plans, we must know how the diseases are distributed in the place, so that the influence of environmental factors on the increase or decrease of the affected people is necessary. to be able to measure specific diseases (Ghadami et al., 2012). In recent years, due to the spread of Corona, the number of respiratory diseases has increased significantly in the country, especially in Tehran. Most respiratory diseases lead to severe lung or pleural infections (pneumonia).Geographical epidemiology is a part of descriptive epidemiology in the style of spatial analysis that examines the geographical distribution of morbidity and mortality rates (Rivero, A, et al, 2015). For the prevention, management, and control of diseases, various information technology methods such as geographic information systems (GIS) are used. Based on this, a geographic information system will be used in this study. The aim of this research is to analyze the spatiotemporal respiratory diseases in Tehran using the Kernel density estimation model using Geographical Information System (GIS).

    Methodology

    The current research was done based on the purpose, applied, and based on the descriptive-analytical method. In order to identify and understand the spatial patterns of respiratory diseases at the level of 22 districts of the Tehran metropolis, statistical and graphic models have been used in the geographic information system (GIS) environment. At first, to identify the foci of concentration of respiratory diseases, the analyzed data were considered as points, and mapping of the disease was done. Then, by using statistical tests, the general patterns of respiratory diseases were determined at the level of the regions of Tehran, and finally, disease maps were extracted using the kernel density method, and based on this, other analyzes were performed. The most important statistical tests used in this research are the mean center, standard deviation ellipse, clustering tests, and kernel density estimation methods. The statistical population of the research is the number of people suffering from respiratory disease (1995 people) within the legal limits of the city of Tehran, which is between the years 1397 and 1400.

    Conclusion

    Identifying and analyzing the ranges of diseases at the city level using the GIS geographic information system makes it possible for the health organization of any country to identify pathogenic factors and reduce its growth rate and apply preventive policies. Using the results of the analysis of this research in relation to respiratory diseases at the level of the regions of Tehran, it is possible to provide preventive measures. According to the analysis of the central mean and ellipse of standard deviation, District 12, as one of the central districts of the city, is the center of respiratory diseases in Tehran. The findings of the research showed that by using the closest neighborhood index in the clustering test, the distribution pattern of respiratory diseases data in Tehran city is uniform. Most of the respiratory diseases that spread in an infectious manner due to their contagious nature spread quickly in all areas of the city, and this is also true in the case of Tehran. According to the results of the ellipse of the standard deviation, the areas with the highest incidence of respiratory diseases in the city of Tehran are located in the northeast and southwest sides of the city. According to the findings of the research using the kernel density estimation model in the period of 1397-1400, in 1397 the areas that are in the neighborhood of District 12 are known as centers of respiratory disease in Tehran. In 2018, region 17 was introduced as the second main center of respiratory diseases in Tehran. In 2019, with preventive measures, region 17 moved away from the center of diseases, and after that, the neighboring areas of this region were not affected by the disease. Respiratory tracts stay away. In the year 1400, the northern areas of Tehran were introduced as new foci of the spread of respiratory diseases. The areas that are most affected by respiratory diseases are often the areas that are at a lower level in terms of social and environmental factors and generally have a low quality of living.

    Keywords: spatial analysis, Respiratory disease, Epidemiology, Kernel density estimation model, Tehran
  • روح الله میرزازاده، حسین نظم فر*، ابوالفضل قنبری

    هدف از این تحقیق بررسی تحلیل فضایی اثرات توزیع کاربری های شهری در توسعه پایدار محله ای کلانشهر تبریز است. تحقیق حاضر از نظر هدف کاربردی و از نظر روش نیز توصیفی - تحلیلی و برای جمع آوری داده ها از مطالعات اسنادی و میدانی استفاده شد. جامعه آماری را خانوارهای شهری در مناطق دهگانه کلانشهر تبریز تشکیل می دهند که براساس سرشماری سال 1395 دارای 1558693 جمعیت و 497898 خانوار بوده است که با استفاده از فرمول کوکران 396 نفر از خانوارهای ساکن شهر به عنوان نمونه تحقیق انتخاب شدند. پایایی ابزار تحقیق به وسیله ضریب آلفای کرونباخ مقدار 823/0 آمد که پایایی خوبی را نشان می دهد. برای تجزیه و تحلیل داده ها از آزمون های میانگین، معادلات ساختاری و تکنیک تصمیم گیری SAW استفاده شد. نوآوری پژوهش نیز بررسی وضعیت مناطق دهگانه تبریز از لحاظ پایداری و اثرگذاری کاربری ها، با دیدگاه فضایی در پایداری محلات است. نتایج نشان داد، از نظر توسعه پایدار محله ای، منطقه 8 با نمره 115/0، منطقه 2 با نمره 110/0 و منطقه 1 با نمره 108/0 در رده های اول تا سوم قرار گرفتند. از نظر تاثیر توزیع کاربری اراضی در توسعه پایداری محله ای نیز، شاخص های وجود تفریحات و اوقات فراغت با مقدار تی 91/3، دسترسی به خدمات بهداشتی - درمانی با مقدار تی 33/3، با توجه شیوع ویروس کرونا و الزام به مقابله توسط مراکز بهداشت و درمانی و کاهش استرس مردم در سطح آلفای 01/0 بیشترین تاثیر را در تحقق توسعه پایدار محلات شهری در محدوده مورد مطالعه داشته اند و به طور کلی در توسعه پایدار محلات شهری در کلانشهر تبریز شاخص های کالبدی و زیرساختی ملموستر است.

    کلید واژگان: تحلیل فضایی، کاربری شهری، توسعه پایدار، پراکنش کاربری ها، شهر تبریز
    Rouhollah Mirzazadeh, Hossein Nazmfar *, Abolfazl Ghanbari

    With the emergence of neighborhoods as spots of urban life, the realization of sustainable development was pursued only in the form of neighborhood development and on a local scale, and in continuation of the global thinking, think locally and act locally. The ultimate goal of sustainable neighborhood development is the connection between social and physical capital. This means that social processes are used for the purpose of identity and physical structure and creating capacity for future development. In other words, planning with the people and not for them is the key element of neighborhood development.The purpose of this study is to investigate Spatial analysis of the effects of land use distribution in sustainable development of the city of Tabriz. The purpose of this study is applied research and in terms of method is descriptive - analytical and to collect data, documentary and field studies (observation, interviews and questionnaires) have been used. The population consisted of urban households in urban areas of Tabriz, which according to the census of 1395 had 1558693 households and 497898 households, and a population of 396 households was selected as research sample using the Cochran formula. The reliability of the research tool was calculated by cronbach’s alpha coefficient which showed good reliability. To analyze the data, the mean, structural equation and saw decision making technique were used. The results showed that, in terms of sustainable development, region 8 with 0.115 grade, region 2 with grade 0.110 and region 1 with 0.108 scores were ranked first to third.Examining the condition of the neighborhoods in the ten districts of Tabriz metropolis showed that the neighborhoods in District 8, District 2, and District 1 have good sustainable neighborhood development compared to other urban areas and access to all types of urban uses (educational, health and medical) , sports, recreation, commercial-commercial, suitable housing, infrastructure and basic services, etc.) are easily possible and these components have a positive effect on the economic, social, physical and environmental dimensions and ultimately the stability of the neighborhood. has had in these areas. In addition to these, in these areas, the social identity of the citizens, social participation, connection and belonging, the existence of personal and social security at the local level, the level of employment and productive income, quick access to urban public transportation, the presence of green and open spaces, the amount Low pollution caused by industries and urban transportation, the existence of a suitable landscape, access to educational services, recreation and leisure, health services, access to suitable housing, and the existence of infrastructure facilities and services have a favorable status compared to other urban areas. And the research respondents in these areas were fully satisfied with the existence of different urban land uses and citizens' access to itIn terms of the impact of land use in the development of neighborhood sustainability, indexes of entertainment and leisure with 3.91 test value have the highest impact on the fulfillment of sustainable development of urban neighborhoods in the study area, and generally in sustainable development of urban localities in Tabriz metropolis, physical indices and infrastructure are more intelligible.Also, the spatial analysis of the effects of urban land use distribution at the level of urban areas and its impact on the sustainable development of neighborhoods in the studied area from the point of view of the citizens showed that, in this area of citizenship identity indicators with a T value of 2.56, the existence of citizens' social participation With a T value of 2.42, the existence of green and open spaces in the city neighborhoods with a T value of 2.78, the presence of recreational and leisure places with a T value of 3.91, access to health and treatment with a T value of 3.33. , infrastructural facilities and services with T value of 3.03 and... have had the greatest impact on realizing the sustainability of the development of urban neighborhoods in the ten regions of Tabriz metropolis. However, among these indicators, "the presence of places of recreation and leisure time and access to health and treatment" has received more attention from the citizens due to the spread of the Covid-19 disease (Corona) in the last one year in the whole world. So that the spread of corona virus has created an unprecedented stress among the citizens, and the citizens and the communities in general are aware of the importance of the existence of health and treatment facilities and places of recreation and leisure in different parts of the cities. have taken and even believe that with this structural change that happened with the spread of this infectious disease in the world and especially in big cities, access to health and treatment facilities (such as: hospitals, clinics, doctors' offices, laboratories, etc.) is very important for the stability of urban areas Also, with the spread of the corona virus and the increase in the number of people infected with this virus in the city of Tabriz, many small-scale businesses were closed, and people who, without employment insurance, do not have access to medical services and care systems, people who work in informal sectors, or work as workers in private, semi-private companies, etc., have faced the risk of poverty and deprivation more And for this reason, in order to prevent these disasters, the existence of health and treatment uses in order to deal with this disaster is one of the necessities of neighborhood development. Also, the results showed that the structural model developed in this research to investigate the impact of land use distribution on the sustainability of urban areas has a desirable and acceptable quality.According to the results of the research, suggestions are presented as follows to be considered by planners in the direction of neighborhood sustainability; 1) Development of health and treatment uses in order to prevent all kinds of infectious diseases and reduce the stress of citizens, 2) Increasing the use of sports, leisure, parks, etc. for the use of citizens and reducing the effects of staying at home during During the period of Covid-19 disease and 3) increasing the participation of citizens in development programs and accompanying them in various stages of formulation, implementation and monitoring of urban development programs, etc.

    Keywords: Spatial analysis, Urban use, sustainable development, Distribution of uses, Tabriz city
  • هادی اسکندری عین الدین*، سمیرا سعیدی زارنجی

    کلانشهرها پدیده های نوظهوری می باشند که محدوده گسترده ای از فضای پیرامون خود را تحت تاثیر قرار می دهند. این تاثیر به مرور زمان منجر به گسترش منطقه کلانشهری می شود. پژوهش حاضر از نظر هدف کاربردی و با رویکرد کلی توصیفی - تحلیلی و با استفاده از داده های اسنادی موجود و داده های آماری تدوین شده است. در تهیه پایگاه داده و تجزیه و تحلیل داده ها از نرم افزارهای آماری Excel و Spss و از نرم افزارهای توصیف و پردازش مکانی ArcGis و برای تعیین الگوی توزیع فعالیتی از شاخص نزدیکترین همسایگی ANN و برای بررسی میزان پراکنش از مدل خودهمبستگی فضایی (موران) استفاده شده است. بر اساس نتایج پژوهش با بررسی های صورت گرفته از منطقه کلانشهری قزوین در بعد فعالیتی می توان گفت منطقه کلانشهری قزوین دارای ساختار مسلط خطی با روند و توسعه در جهت تکوین ساختار شعاعی - حلقوی در نیمه جنوبی آن است. همچنین ساختار فضایی منطقه کلانشهری قزوین در پیوند با گسترش مناسبات و ارتباطات اقتصادی با شهرها و نقاط روستایی بخصوص در قسمت جنوبی محدوده صورت گرفته است.

    کلید واژگان: ساختار، ساختار فعالیتی، فضا، تحلیل فضایی، منطقه کلانشهری قزوین
    Hadi Eskandari Einodin *, Samira Saeidi Zaranji

    Metropolises are emerging phenomena that affect a wide range of surrounding space. This effect over time leads to the expansion of the metropolitan area. The current research has been compiled with a general descriptive-analytical approach and using available documentary data and statistical data. Excel and Spss statistical software and ArcGis spatial processing and description software were used in database preparation and data analysis, and ANN nearest neighbor index was used to determine the activity distribution pattern, and Moran's Spatial Autocorrelation Model was used to check the distribution rate. Is. Based on the results of the research and investigations of the Qazvin metropolitan area in terms of activity, it can be said that the Qazvin metropolitan area has a dominant linear structure with a trend and development towards the formation of a radial-annular structure in its southern half. Also, the spatial structure of the metropolitan area of Qazvin has been made in connection with the expansion of relations and economic connections with cities and rural areas, especially in the southern part of the area.

    Keywords: structure, activity structure, Space, spatial analysis, Qazvin metropolitan area
  • اسماعیل جهانی دولت آباد، چنور محمدی*

    پیش شرط هر توسعه ای، توسعه ی فرهنگی است، توسعه بدون دست یابی به فرهنگ خاص آن، امکان پذیر نیست.در مجموع توسعه فرهنگی را می توان فرآیند ارتقاء شیون گوناگون فرهنگ جامعه در راستای اهداف مطلوب دانست که زمینه ساز رشد و تعالی انسان ها خواهد شد. هدف اصلی پژوهش حاضر تحلیل فضایی توسعه فرهنگی در استان کرمانشاه می باشد، نوع تحقیق کاربردی و از لحاظ روش توصیفی- تحلیلی محسوب می شود. جامعه آماری آن چهارده شهرستان استان کرمانشاه می باشد، که داده های مورد نیاز از سالنامه آماری استان کرمانشاه جمع آوری شده است. برای رتبه بندی و سطح بندی شهرستان ها از تکنیک های تصمیم گیری چند معیاره SAR، ARAS و WASPAS، جهت ادغام نتایج از تکنیک کاندرست استفاده گردید و از روش CVبرای مشخص کردن این که کدام شاخص بیشترین اختلاف و نابرابری را دارا می باشد استفاده شد. نتایج حاصل از تکنیک کاندرست نشان می دهد، سه شهرستان (43/21 درصد) برخوردار، سه شهرستان (43/21 درصد) نسبتا -برخوردار، چهار شهرستان (57/28 درصد) نیمه برخوردار و چهار شهرستان (57/28 درصد) محروم می باشند که این نتایج نشان دهنده ی نابرابری اختلاف و نابرابری در توزیع فضایی شاخص فرهنگی در سطح شهرستان های استان دارد. با استفاده از روش CV مشخص شد بیشترین اختلاف نابرابری مربوط به تعداد سینما، تعداد سالن سینما و گنجایش تعداد صندلی سینما و کمترین نابرابری مر بوط به تعداد چاپخانه دولتی می باشد. در نهایت با استفاده از روش درصد تغییرات مشخص شد مدل ARAS روش مناسب تری نسبت به مدل ها (SAR و WASPAS) جهت سنجش وضعیت توسعه فرهنگی شهرستان ها است زیرا نتایج حاصل از این مدل دارای کمترین درصد و شدت تغییرات نسبت به مدل های دیگر دارد.

    کلید واژگان: تحلیل فضایی، شاخص فرهنگی، کرمانشاه، کاندرست
    Esmaeil Jahani Dolatabad, Chnour Mohammadi *
    Introduction

    The role of culture in development issues is one of the axes of attention of experts. Development experts consider culture and life to be inseparable; Because understanding the needs of society requires attention to cultural factors (Sorkh Kamal et al., 2011: 96). Today, achieving comprehensive and sustainable development is the main concern of countries and their governments. Since man is a cultural being, the foundation of true and sustainable development is the achievement of cultural development (Vasosuqi et al., 2012: 82). No development and evolution is desirable and possible without cultural development and evolution (Salehi Amiri, 2007: 75). Cultural development leads to the self-confidence of the society, and flourishes the potential and creative abilities of humans in the cultural context (Habibi, 2015: 23), Iran as a country on the path of development, has a very high diversity of cultural, social, economic and Also, with many financial, natural and environmental opportunities, along with issues such as special and strategic geographical location, unique natural and human opportunities, etc., it demands special attention to the category of development (Bazazzadeh et al., 2014: 80). The necessity and importance of research comes from the fact that cultural spaces are one of the main pillars of cultural development. On the other hand, one of the most important goals of spatial planning, considering the limited resources, is the optimal and balanced distribution of facilities and services between different settlements (Mohammadi and Izadi, 2013: 40), hence the recognition of cultural values and The facilities of the different cities of the provinces and their level of cultural development can lead the officials and workers to adopt new policies to strengthen the cultural foundations and form cultural engineering and planning. to deal with future cultural threats (Meshkini and Ghasemi, 2012: 3-4). The main goal of the current research is the spatial analysis of cultural development in Kermanshah province, which determines the cultural development status of fourteen cities in the province in terms of cultural development indicators, so that by identifying the status of the rich and deprived cities, planning and strategies to improve the situation of the deprived cities provide according to the purpose; The research seeks to answer the question of whether there is a difference between the cities of Kermanshah province in terms of having a cultural index.

    Methodology

    The method of this research is based on practical purpose and on the basis of descriptive-analytical nature and it tries to determine the level of prosperity of 14 cities of Kermanshah province by using multi-criteria decision making models. In order to compare and rank them, 24 variables of the cultural sector extracted from the census results of Iran Statistics Center and the statistical yearbook of Kermanshah province were used, and the weight of each criterion was determined using Shannon's entropy method and from the models SAR, ARAS and WASPAS multi-criteria decision-making and the integration of their results with the Kanderst method have been used to determine the level of enjoyment and ranking of the cities of the province. CV method was used to determine which index has the most difference and inequality. Geographic Information System (GIS) was used to draw the maps.

    Conclusion

    According to the results, it was found that the biggest difference in inequality is related to the number of cinemas, the number of cinema halls, the number of cinema seats and the number of cinema spectators with (3.742) and the lowest inequality is related to the number of government printing houses with (0.000). After unscaling the variables and weighting with entropy method, three techniques (SAR, ARAS and WASPAS) have been used to categorize the cities of the province. The findings based on the SAR model show that there is no deprived city.The cities of Qasr Shirin, Paveh and Dalaho are rich, Sahne, Ravansar, Kangavar and Songhor are relatively rich and 50% of the cities (Harsin, Gilangharb, Kermanshah, Kangavar, Islamabad Gharb, Javanrood and Sarpol Zahab) are semi-rich. The stratification of the ARAS technique shows that, like the SAR model, there are no deprived cities, three cities Dalaho, Qasr-Shirin and Paveh are blessed, six cities are Salas-Babajani, Songhor, Gilangharb, Sahne. , Harsin and Ravansar are relatively prosperous and five cities, Sarpol-Zahab, Kangavar, Kermanshah, Islamabad-Gharb and Javanrood are semi-prosperous. In the WASPAS technique, there are no relatively prosperous cities, four cities, Dalaho, Qasr-Shirin, Paveh and Salas-Babajani, respectively, are ranked one to four and semi-efficient, and the rest of the cities are Songor, Sahneh, Gilangharb, Harsin, Ravansar, Sarpol-Zahab, Islamabad-Gharb, Kermanshah, Kangavar and Javanrood are among the deprived cities of the province, although the development coefficient of the cities of the province is not much different. Finally, based on the contrast technique that integrates the results of three models (SAR, ARAS, WASPAS) and provides a single result, According to the results of the Kandrst model, 21.43% of the cities are privileged, 21.43% of the cities are relatively well-off, 28.57%. The percentage of the cities is semi-provided and 28.57 percent of the cities are deprived, which shows that there is inequality in the distribution of cultural indicators at the province level. Kermanshah city, as the capital of the province, ranks first to second and is among the cities with the most benefits, but according to the results obtained from the Kandrst method, it is ranked 10th and in the group of semi-sufficient cities.One of the reasons for this is the high population of this city and the low per capita of each of the mentioned variables in Kermanshah city. Although the facilities and the amount of cultural variables in this city may be more than other cities, but the population of this city is much more than other cities and when it is per capita, it is less per capita than other cities. A city may have a smaller population, but when it is made per capita, it causes more per capita than the cities with a larger population, and when it is leveled and ranked, except for the cities with the status and Better rank.

    Keywords: Spatial Analysis, Cultural Index, Kermanshah, Kandrst
  • محسن صادقی، معصومه حافظ رضازاده*، مریم کریمیان بستانی

    امروزه به علت گسترش زندگی شهری و همچنین توسعه صنعتی شهرها، شاهد بروز انواع بیماری های جسمی و روانی هستیم. بر همین اساس، اهمیت چشمگیر گردشگری، به ویژه در بخش جسمی و روحی در سطح جهانی و از جنبه های مختلف خصوصا گردشگری سلامت، بر همگان آشکار گردیده است، بگونه ای که دسترسی به عناصر گردشگری سلامت و فضاهای مربوطه یکی از ضروریات توسعه شهری تبدیل شده است. شهر اردبیل به خاطر شرایط جغرافیایی، اقلیمی، دسترسی به منابع و جاذبه های طبیعی، خدمات پزشکی و نزدیکی به آبهای گرم و معدنی، یکی از مستعدترین مقاصد گردشگری در حوزه گردشگری سلامت در کشور به شمار می رود. در همین راستا، این پژوهش قصد دارد فضاهای گردشگری شهر اردبیل را براساس شاخص های گردشگری سلامت، مورد تحلیل قرار دهد. پژوهش حاضر از لحاظ ماهیت، توصیفی- تحلیل و از لحاظ هدف، کاربردی است. جهت گردآوری داده ها از روش های کتابخانه ای/اسنادی و میدانی (مشاهده) استفاده شده است. جهت تجزیه و تحلیل داده ها از مدل تصمیم گیری چند معیاره ویکور در قالب نرم افزار Arc GIS و جهت وزن دهی به شاخص ها از نظرات 10 کارشناس به روش گلوله برفی و مدل تحلیل شبکه ای (ANP) در قالب نرم افزار Super Decision استفاده شده است. در همین خصوص، نتایج تحقیق نشان داده است که هسته مرکزی شهر و فضاهای پیرامون رودخانه بالیغی چای، دارای جاذبه های خدماتی و تفریحی بسیار بالایی است و از همین رو، الگوی فضایی عناصر گردشگری سلامت شهر اردبیل به صورت الگوی ناحیه ای در بخش مرکزی شهر اردبیل شکل گرفته و این ناحیه از شهر سهولت دسترسی و مطلوبیت بیشتری نسبت به سایر نواحی شهری دارد.

    کلید واژگان: تحلیل فضایی، گردشگری سلامت-پزشکی، مدل ویکور، شهر اردبیل
    Mohsen Sadegi, Masomeh Hafez Rezazadeh *, Maryam Karimiyan Bastani
    Introduction

    Today, due to the expansion of urban life as well as the industrial development of cities, we are witnessing the occurrence of various physical and mental illnesses. Accordingly, the significant importance of tourism, especially in the physical and mental sector at the global level and from various aspects, especially health tourism, has been revealed to everyone. Health tourism is a type of tourism that is done to maintain, improve and regain physical and mental health. Factors such as changes in consumer values, construction changes, aging population and the needs of the health care system can be considered as the main factors in the emergence of health tourism. The combination of these factors has made health tourism one of the most growing types of tourism. In general, health tourism is divided into three categories: health tourism; Medical tourism and medical tourism are divided. In the meantime, medical tourism is a type of health tourism, the patient may need to use medical tourism spaces and services after treatment. Medical tourism is linked through hotels, airlines and transportation, leisure activities, and all infrastructure related to the tourism industry, and is coordinated with other institutions such as hospitals, insurance companies, and travel agencies. Finds. Medical tourism includes not only essential and elective medical treatments (surgical and non-surgical), but also health treatments with services for accommodation, entertainment, hospitality, tours or attractions. According to global statistics, Iran does not have a special place among the top countries attracting medical tourists, but in terms of value in medical tourism is reported as the tenth top country. The city of Ardabil is no exception to this rule. Because this city has a special position in the country and has countless potentials and tourist attractions and has numerous capacities and potentials of national and international tourism. Today, medical tourism in Ardabil has become one of the growing sectors in the tourism industry. This city, due to its limitations in various dimensions, has a very high potential in the development of tourism, especially medical tourism for Azeri citizens. This city is one of the most popular tourist destinations in the field of health tourism in the country and even in the region in terms of geographical and climatic conditions, access to natural resources and attractions, proximity to hot and mineral waters that are known as paradise springs. The river and the market worth 400 billion tomans per year indicate the large presence of tourists in this city. But achieving these benefits will be possible only with proper and focused planning. Therefore, what is needed is to first review and analyze the current situation and, in fact, the analysis of health (medical) tourism spaces, in order to provide a basis for future planning by determining the distribution pattern of tourism spaces. It should be noted that each of these tourism services occupy a specific space of society, especially cities. Urban tourism space is a space in which there are tourism resources and the pattern of behavior of tourists is a function of its tourism resources such as attractions, accommodation, facilities and services. Also, scattering patterns can be classified into four groups: 1- point pattern 2- network or linear pattern 2- surface pattern and 2- regional pattern. In this regard, the present study has been conducted with the aim of answering the question: What model does health tourism (medical) spaces in Ardabil follow?

    Methodology

    The present study is applied in terms of purpose and descriptive-analytical in nature. The method of data collection and information has been done in two ways: library / documentary and field (observation). In the field section, spatial data were updated during field visits and observations. In this regard, to analyze the tourism spaces of Ardabil city, the Vicor multivariate decision model in the form of Arc GIS software has been used. It should be noted that in order to weigh the indicators, the opinions of 10 experts were used by the snowball method and the network analysis model (ANP) in the form of Super Decision software.

    Results

    One of the stages related to the research was the stage of weighting the indicators, in which the network analysis model (ANP) was used in the form of Super Decision software, which is more scientific than other models. In this regard, the opinions of experts were used and the results showed that the distance from clinics, hospitals and clinics, the distance from the water spaces (Lake Shurabil and Balghli Chay river) are the most important and the distance from the amusement park, respectively. They are the least important in terms of weight. The results also showed that the central core of Ardabil and the areas adjacent to the Balgholi River, due to the concentration of recreational and service tourist attractions in these areas, is very desirable. By moving away from the central core of the city and approaching the surrounding areas, the degree of desirability of areas in terms of health tourist attractions decreases. In fact, the central areas of Ardabil, with the focus on the Balghili River, tea and the dispersion of medical and accommodation centers can be named as the health tourism space of Ardabil. A space marked by the extraordinary focus of these attractions. In fact, it can be said that the health tourism environment of Ardabil city and areas with high ability to attract tourists is a function of the central and historical core of Ardabil city and Balghalychai river and then Shurabil lake.

    Conclusion

    Tourism is one of the industries that can have a special distribution, i.e., some areas and urban areas have a high potential and actual potential for tourism. Like the central part of Ardabil city, where both service and recreational indicators have been established in this part of the city and around the Balighli Chay River to provide the ground for the formation of Ardabil health tourism core as a regional model. In other words, health tourism services are more easily available in the central areas of Ardabil. And the farther we go from this area, the less desirable other urban areas become.

    Keywords: Spatial analysis, Health-medical tourism, Vicor model, Ardabil City
  • فرشته کمیجانی، وحید چگینی
    در آمار فضایی پیشگویی مقدار نامعلوم یک میدان تصادفی در موقعیت مشخص بر اساس مشاهدات، به عنوان بهترین پیشگوی خطی صورت می پذیرد. گاهی در بعضی مسایل کاربردی در هر موقعیت فضایی علاوه بر متغیر مورد بررسی، متغیرهای کمکی دیگری نیز در اختیار است که به کار گیری آنها می تواند دقت پیشگویی را بهبود بخشد. در این تحقیق، برخی از پارامترهای فیزیکی آب خلیج چابهار، از جمله دما، شوری و چگالی با استفاده از نیمرخ برداری توسط CTD در لایه های مختلف آب، مورد نمونه برداری قرار گرفته است. هدف اصلی این مطالعه، شناخت و آگاهی یافتن از نحوه توزیع چگالی آب تحت تاثیر سایر پارامترهای فیزیکی آب، ارائه ی کاربرد روش های نوین آمار مانند پیش بینی فضایی کریگیدن (Kriging)، هم کریگیدن (Co-Kriging) و عکس فاصله ی موزون (Inverse-Distance Weighted) در اقیانوس شناسی، پیش بینی میزان پارامترهای فوق برای کل منطقه و پهنه بندی چگالی خلیج بوده است. همچنین این روش ها از لحاظ دقت پیش بینی مقایسه شده اند. نتایج حاصل از تحلیل اعتبارسنجی پارامتر چگالی، حاکی از آن است که پیش بینی حاصل از هم کریگیدن بهتر از کریگیدن و روش کریگیدن بهتر از عکس فاصله ی موزون است و این روش در مطالعه ی پدیده های محیطی مناسب است. همچنین با توجه به نتایج پهنه بندی فضایی برای پارامتر چگالی آب، با دقت بالا می توان گفت که در فصل های مونسون زمستانه سال 1386 1385، به طور میانگین چگالی آب خلیج چابهار با پیشروی به سمت ساحل کاهش می یابد.
    کلید واژگان: خلیج چابهار، پیش بینی فضایی، تحلیل فضایی، کریگیدن، هم کریگیدن، عکس فاصله ی موزون
    Fereshteh Komijani, Vahid Chegini
    In spatial statistics predicting an unknown amount of random field in concrete situation based on observations, constitutes the best linear forecasting method. In some applications, in every spatial position, in addition to the variable under investigation, other auxiliary variables may be available for increasing the forecasting accuracy. In this study some physical parameters of the Chabahar Bay were measured by CTD sampling in different layers of water. These included the temperature, salinity, and density of the waters. The general goals of this study include the following: finding out the water density distributions under the influence of other physical parameters of the Bay, the application of new statistical methods such as kriging, co-kriging and inverse-distant weighted, and the forecasting of the aforementioned parameters and density distribution for the whole of the Bay. The statistical methods have been compared in terms of accuracy. Results of density cross-validation analysis showed that the co-kriging method is more accurate than the other methods and that this method is suitable for studying environmental phenomena. The spatial distribution of density has shown that this parameter decreases towards the shore in the winter monsoon of 2006-2007.
    Keywords: Chabahar Bay, Spatial analysis, Kriging, Co, kriging, Inverse, Distance Weighted, Gonou Hurricane
نکته
  • نتایج بر اساس تاریخ انتشار مرتب شده‌اند.
  • کلیدواژه مورد نظر شما تنها در فیلد کلیدواژگان مقالات جستجو شده‌است. به منظور حذف نتایج غیر مرتبط، جستجو تنها در مقالات مجلاتی انجام شده که با مجله ماخذ هم موضوع هستند.
  • در صورتی که می‌خواهید جستجو را در همه موضوعات و با شرایط دیگر تکرار کنید به صفحه جستجوی پیشرفته مجلات مراجعه کنید.
درخواست پشتیبانی - گزارش اشکال