摘要
应用3种不同的方法,对气温数据进行空间数据插值。应用的方法为反距离移动平均法、反距离移动表面法和普通 克里格。研究数据采用国际粮农组织(FAO)提供的全球气候数据库中1月份的平均最高气温数据。在获取插值结果之后, 用5种统计方法对插值结果进行评价和比较,结果显示运用普通克里格方法获得的插值表现较好。
This paper reviews three methods of spatial interpolation on air temperature data. The reviewed techniques include the Inverse Distance Moving Average, Inverse Distance Moving Surface and Ordinary Kriging. The data of mean maximum air temperature of January from the FAO global climatic station dataset were used as test data. After gaining the observed differences of interpolations, we quantified them by using five evaluation statistics. Results show that the Ordinary Kriging seemed to perform slightly better.
出处
《测绘与空间地理信息》
2004年第4期11-13,共3页
Geomatics & Spatial Information Technology
