【摘要】 农业气候资源是农业资源的重要组成部分,地形是影响农业气候资源的重要因素之一。为了使离散的高程点插值成为连续的高程点,从而得到整个研究区的高程点数据,本文采用地理信息系统软件ARC/INFO对1∶10万比例尺的国家基本地形图进行矢量化,获取石河子垦区高程点数据,利用ArcGIS的地统计分析模块功能,以反距离权重插值、径向基函数插值、普通克里格插值等空间插值方法对以上高程点进行插值,创建了石河子垦区高程表面图,通过交叉验证并进行对比研究,结果表明:OK插值法效果最佳,其中MAE为21.916,RMSE为50.61,RMSS为0.9584;在检验标准上占有明显优势,IDW相对较差,其中MAE为27.726,RMSE为61.43。将各种插值法制成了相应的高程表面图,使离散的点插值成为连续的点,为农业气候资源的空间分布差异的研究等奠定了基础,从而更进一步的服务于农业。更多还原

【Abstract】 Agro-climatic resources are important components of agricultural resources.The terrain is one of the important factors affecting agricultural climate resources.To make the discrete elevation points become the continuous elevation points,and get the whole of the study district elevation data.In this paper,the 1∶100,000 scale state’s basic topographic maps are vectored by the GIS software ARC/INFO and the elevation point data of the Shihezi District is obtained.Studying elevation point data becoms an important task by using the geographic statistical analysis of ArcGIS module functions,by inversing distance weighted interpolation(IDW),Radial Basis Functions interpolation(RBF) and Ordinary Kriging(OK) interpolation methods to create surface elevation map for the elevation point and contrast.The cross-validation results show that OK is the best interpolation effect,of which MAE is 21.916,RMSE 50.61,RMSS 0.9584,It has the clear advantage for the inspection standards over the others,IDW is relatively poor,of which MAE is 27.726,RMSE 61.43.Creating the corresponding surface elevation maps by various Interpolation methods,making the discrete points become the continuous points,it will lay the foundation for the research of the differences in the spatial distribution of agricultural climate resources,which will further service agriculture.更多还原