空间不完备数据及其填补方法研究

Incomplete Data of Space and the Resume Methods on these Data

随着人们对空间信息的需求,近年来对不完备空间数据的研究日益广泛,空间不完备数据填补问题备受重视。在实际应用中因不能充分利用数据所包含的信息,导致填补后的数据误差很大。针对这个问题详细阐述了空间不完备数据的检测和填补方法,重点介绍了基于克里格插值法的空间数据填补方法。最后用实验证明了克里格插值法恢复不完备空间数据时的精度最高。

As requiring the spatial information, people take up with the incomplete spatial data and devote their attention to it in recent years. The resuming data includes much error, because all the information can＇t be used in practicality. The detecting methods and resume methods are particularly introduced in this paper, emphasis on the resuming methods of incomplete spatial data base on kriging interpolation algorithm. The paper presents techniques of resuming incomplete spatial attributes and their specialty in detail. At last, kriging algorithm in geostatistics is introduced and the quality of resuming in experiment is stated. In the end, an experiment is be used to prove the most high-precision of Kriging interpolation algorithm.