【摘要】 以重庆市域为研究对象,根据44个气象台站的实测数据,在地理信息系统支持下,采用反距离权重法、克里金法、样条函数法和趋势面法4种空间插值方法,分析了实测点数量变化、栅格像元尺寸变化和空间插值方法差异对市域农业气候资源(年日照时数,≥10℃积温,年降水量)空间插值结果的影响,分析了农业气候资源信息在空间插值中的不确定性。结果表明:不同的空间插值方法影响资源空间插值的不确定性水平;插值点数量越多,农业气候资源信息插值的不确定性越小;空间像元尺度的变化对资源信息插值的不确定性具有一定的影响,但影响不明显。更多还原

【Abstract】 Taking Chongqing as a study area,and using the data from 44 weather stations,the paper analyzed the uncertainty in the spatial interpolation of agroclimatic resources data caused mainly by the number of weather stations.The cell size of interpolation grid and different interpolation methods base on GIS,IDW,Kriging,Spline and Trend methods were all adopted in the paper work.The results showed that different interpolation methods brought different levels of uncertainty.The more the number of stations in the interpolation,the less the uncertainty reflected by MAE in agroclimatic resources interpolation.The variations of cell size from 1,3,6 km to 9 km did not affect the accuracy remarkably.更多还原