基于GIS和地统计学的土壤养分空间变异特征研究——以新疆农七师125团为例

基于地理信息系统(GIS)和地统计学,以地理信息系统软件ArcGIS为平台,采用Geostatisical Analyst地统计分析模块中的Kriging插值方法研究了新疆农七师125团土壤养分的空间变异性.应用GIS能够将系统变量的属性数据同地理数据相结合,使大区域范围内进行地统计学分析变得较为方便,研究结果表明,全氮、有机质、速效磷、速效钾均具有中等的空间相关性,但变异尺度不同.分析中还发现Kriging插值模型的选择及Crossin-ValNation交叉验证的检验与系数修正均影响分析工作的结果精度.

Spatial Variability of Soil Nutrients Based on Geostatisics Combined with GIS of the 7~(th) Agricultural Division as example in Xinjiang

Geoestatisitics combined with GIS was applied to analyze the spatial variability of soil nutrients in topsoil in the 7th Agricultural Shi as example in Xinjiang. The research which was based on Kriging method was handled by ArcGIS. GIS can integrate attribute data with geographical data of system variables, which makes the application of geoestatisitics technique for large spatial scale more convenient. Soil nutrient data in this study showed that the spatial correlation of total nitrogen, organic matter, available potassium and available phosphorus at this large scale were moderately dependent. Choosing proper Kriging model, verifying of the Cross-Validation and correcting the parameters are important factors influencing accurate analysis.