List of Articles خودهمبستگی فضایی

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - Analysis of Spatial Statistics of Dust Khuzestan Province
  Ahmad Reza Nakhaie Nezhad Fard Marzieh Mogholi
  Khuzestan Province is adjacent with some great deserts that the dust of these deserts are continually entering this province. Understanding the spatial pattern of these dust is of great help when planning to mitigate its effects. Therefore, the aim of this study was to More

  Khuzestan Province is adjacent with some great deserts that the dust of these deserts are continually entering this province. Understanding the spatial pattern of these dust is of great help when planning to mitigate its effects. Therefore, the aim of this study was to determine the best inter-discipline of the dust and then to analyze the spatial statistics of the dust in Khuzestan province during the period 1995-2016. The results showed that the method of reverse weighing with a coefficient of 0.75 is the best model for the microscope zonation. Analysis of the spatial statistics of the dust phenomenon in Khuzestan province shows that we have witnessed clustering of days with dust in the province over the years. The clustering maps of spatial autocorrelation of the dust using the Moran statistics show that in general, the northwest and western regions of province during the studied period have high clusters and the southern, eastern, southeastern and the southwest have low clusters in the province. In 1995, the highest Moran coefficient was (Moran Index = 1/008797) and in 2008 the lowest Moran coefficient was (Moran Index = 0/996831), indicating the highest and lowest number of cluster dust days in 1995 and 2008. The results of hot and cold spots in Khuzestan province during the statistical period show that mainly the north and northwest regions contain hot spots, which means more frequent days of dust in these areas of the province during the studied time period. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - Analysis of the monthly spatial structure of OLR in IRAN
  Teimour Jafarie sayyed mahmoud  hosseini seddigh
  The purpose of this study is to analysis monthly OLR of the Iranian surface. For this purpose, the ground OLR data was extracted and analyzed from the ncep/ncar database during the statistical period of 1354-1398. In order to extract the have been used in the Gards soft More

  The purpose of this study is to analysis monthly OLR of the Iranian surface. For this purpose, the ground OLR data was extracted and analyzed from the ncep/ncar database during the statistical period of 1354-1398. In order to extract the have been used in the Gards software and GIS. Findings showed that by examining the spatial index of Gi statistic, the hot spots of Iran's OLR are 99% and 95% in August, July, June, September and October. Hot spots correspond to areas of the tropics and to latitudes below 30 degrees north; Also, the maximum cold spots are at the level of 99%, 95% in February, December, January, March, April, and the maximum cold spots OLR from the northeast to the northwest. It includes the northeastern, northern and northwestern regions of the country, as well as the northern highlands of the Zagros Mountains. Manuscript profile