›› 2007, Vol. 9 ›› Issue (3): 104-108.

• ARTICLES • Previous Articles     Next Articles

Setting Parameters and Choosing Optimum Semivariogram Models of Ordinaty Kriging Interpolation ——A case study of spatial interpolation to January average temperature of Fujian province

WU Xuewen, YAN Luming   

  1. College of Geographic Science, Fujian Normal University, Fuzhou 350007, China
  • Received:2006-03-21 Revised:2007-02-14 Online:2007-06-25 Published:2007-06-25

Abstract: This article discusses about the thereunder of choosing the optimum semivariogram models and setting the key parameters based on ARCGIS and GS+software from characteristics and laws of data through understanding the ordinary Kriging interpolation theory, and carries through an in-depth exploratory spatial data analysis taking the spatial interpolation to January average temperature of Fujian province as an example, using the obtained parameters and semivariogram models to simulate the spatial distribution of January average temperature of Fujian province. The aticle offers a clear way for reasonable spatial interpolation.

Key words: Kriging, exploratory spatial data analysis, parameter, semivariogram model, January average temperature