(1. 武汉大学 测绘遥感信息工程国家重点实验室，
武汉 430079;
2. 湖南科技大学 地球空间信息科学研究所， 湘潭 411201)
摘 要: 针对高维数据分析遇到的困难，引入投影寻踪降维方法进行变形观测数据分析， 论述了分析原理、 分析方法。 将投影寻踪降维法应用于桥塔位移观测数据分析， 与偏最小二乘回归法进行了分析效果对比。分析结果表明： 该方法在提取源数据信息与预测方面效果更理想。
关键字: 高维空间；投影寻踪； 变形观测； 数据分析
test data analysis
（1. State Key Laboratory for Information Engineering in Surveying,
Mapping and Remote Sensing, Wuhan University,
Wuhan 430079, China;
2. Research Institute of Geo-spatial Information Science, Hunan University of Science & Technology,Xiangtan 411201, China）
Abstract:Aimed at the difficulties coming across during the course of high dimension data analysis, a latest statistic method called as “PP”(project pursuit) method was used. According to PP method, the high dimension data are projected to the low dimension data space, thus the projects can reflect the feature or structure of original high dimension data. By investigating the project in low dimension data space, the effective multi-factors regression analysis on deformation is made, “PP” method is applied to test data regression analysis of new bridge before acceptance. Compared with the results derived from partial least square regression and neural network analysis on test data analysis on new bridge, the “PP” method is proved to be a practical way in some aspects of obtaining original data information and forecasting.
Key words: multi-dimension space; project pursuit; deformation observation; data an
