A Study of Spatial Interpolation of GanSu Air Temperature Based on arcGIS

Abstract:

We analyzed the relationship between the average annual temperature data of 80 meteorology stations in 2009 and, such as, the latitude and longitude, the height above sea level in GanSu. It is found that there was a good linear relationship (r²=0.908). The average annual temperatures data all over GanSu is analyzed by the method of multiple linear regression analysis, and use application of geostatistical analysis module of ArcGIS software, conducting the average annual temperatures of meteorology stations spatial interpolation. Comparing the both cases, it is the direct use of the calculation results of the regression equation and consider the space residual error. The verified result is: the method of interpolation Combined with the space residual error is more accurate, the correlation coefficient of interpolation calculating value and actual survey value is r²=0.972.The results show that the method of interpolation Combined with the space residual error can improve the accuracy of the temperature spatial interpolation.

• Periodical: Advanced Materials Research (Volumes 518-523)
• Pages: 1359-1362
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.518-523.1359
• Online since: May 2012
• Authors: Bing Bai, Xue Jun Chen, Jie Yu
• Keywords: Air Temperature, ArcGIS, Gansu, Spatial Interpolation

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