Urbanization patterns in Iran visualized through spatial auto-correlation analysis
Urbanization patterns in Iran visualized through spatial auto-correlation analysis
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DOI：
10.1007/s41324-017-0128-0
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发表时间：
2017-10-01
影响因子：
2.4
通讯作者：
Zarghamfard, Moslem
中科院分区：
文献类型：
--
作者：
Qelichi, Mohamad Molaei;Murgante, Beniamino;Zarghamfard, Moslem
近几十年来，世界和伊朗的城市化发生了变化，并根据各种模式发展。许多因素影响这些模式，包括气候条件、国家政策、国际发展和经济形势。本研究的目的是探讨伊朗城市化的空间自相关模式的变化。因此，数据取自伊朗统计中心。首先计算了城市化的空间格局，然后利用全球Moran指数分析了城市化的空间格局变化。结果表明，该国中部和北方地区，特别是伊斯法罕和德黑兰，在所有课程都有积极的空间自相关模式，其强度在最近一段时间有所增加。而该国东南部的一半，由于气候决定论，具有负空间自相关模式。
In recent decades urbanization in the world and Iran has changed and evolved based on a variety of patterns. Many factors influence these patterns, including climate conditions, national policies, international developments, and the economic situation. The aim of this study was to investigate changes in spatial autocorrelation pattern of urbanization in Iran. Hence, data has been extracted from the Statistical Center of Iran. At first, patterns of urbanization were calculated and then global Moran index has been used in the analysis of spatial pattern changes. The results showed that central and northern regions of the country, particularly Isfahan and Tehran, in all courses have a positive spatial autocorrelation pattern and its intensity has increased in recent times. This is while the south-eastern half of the country, due to climatic determinism, has a negative spatial autocorrelation pattern.