Entropy of Surveying Data Error Distribution and Application Abstract:Under a certain condition,the surveying error distribution of surveying data acquired must be obvious.The characteristics investigation of surveying error distribution is a prerequisite for error analysis and data processing.The surveying data is toward massive, dynamic and multi-resource error.It is limited for the classical error theory to process present type of surveying data.The main limitations summarized as follow:Dthe limitation of uncertaninty expressed by error,2the uniquity of error representation means,3the entanglement of error classification,4 the complexityof error synthesis.In view of the existing problems in the data processing,surveying uncertainty is used to measure data uncertainty and assess data quality in the field of GIS and measurement. The uncertainty of surveying data is actually a kind of generalized error.From the perspective of information theory,data acquisition, error processing and the quality evaluation of surveying data is a process of information transmission.Because information entropy is used to measure the uncertainty of random variables,it can be used to study data uncertainty.Entropy is one of the distribution digital characteristics, expressed by the form of probability distribution and the range of probability distribution.Study on the measurement data error distribution entropy is the basis of expanding the entropy theory cited in the field of surveying and data processing,is a prerequisite for investigating data uncertainty based on entropy,and is an effective way to expand the generalized error theory.The research of surveying data error distribution entropy has been achieved some results in the past half century,but there are still some problems as follows: 1)The entropy can reflect surveying data uncertainty under a certain observation conditions,but how to estimate different distribution entropy, and how to get the mechanism of error entropy et al issues is lack of investigation systematically. 2)Contaminated distribution once promoted the development of surveying data processing theory,and the probability density function 川 万方数据Entropy of Surveying Data Error Distribution and Application Abstract：Under a certain condition，the surveying error distribution of surveying data acquired must be obvious．The characteristics investigation of surveying error distribution is a prerequisite for error analysis and data processing．The surveying data 1S toward massive， dynamic and multi—resource error．It iS limited for the classical error theory to process present type of surveying data．The main limitations summarized as follow：①the limitation of uncertaninty expressed by error,②the uniquity of error representation means，⑨the entanglement of error classification，④the complexityof error synthesis．In view of the existing problems in the data processing，surveying uncertainty 1S used to measure data uncertainty and assess data quality in the field of GIS and measurement． The uncertainty of surveying data is actually a kind of generalized error．From the perspective of information theory,data acquisition， error processing and the quality evaluation of surveying data iS a process of inforlnation transmission．Because information entropy is used to measure the uncertainty of random vailables，it can be used to study data uncertainty．Entropy is one of the distribution digital characteristics， expressed by the form of probability distribution and the range of probability distribution． Study on the measurement data error distribution entropy is the basis of expanding the entropy theory cited in the field of surveying and data processing，iS a prerequisite for investigating data uncertainty based on entropy,and is an effective way tO expand the generalized error theory．The research of surveying data error distribution entropy has been achieved some results in the past half century,but there are still some problems as follows： 1)The entropy can reflect surveying data uncertainty under a certain observation conditions，but how to estimate different distribution entropy, and how to get the mechanism of error entropy et al issues is lack of investigation systematically． 2、Contaminated distribution once promoted the development of surveying data processing theory,and the probability density function lIl 万方数据