Study On The Quality Assessment Technique Of Fundamental Surveying And Mapping Data

As one of the key manifestations of spatial data, quality has a great influence on the effects based on data during production and application. GIS spatial data quality evaluation is a crucial part in the manufacturing process of surveying and mapping products. However, quality evaluation in China is limited to several certain ways for a long period of time. The evaluation of GIS spatial data lacks in-depth knowledge of the characteristics and application scope of those common methods. Therefore, this thesis analyses the advantages and shortages of scoring method for defect and fuzzy comprehensive quality evaluation through experiment.This thesis focused on the study of the popular existing spatial data quality evaluation methods based on the framework of surveying and mapping results quality inspection system and the summary of the spatial data quality evaluation theories. In order to be more objective and scientific, scoring method for defect and fuzzy comprehensive quality evaluation are analyzed respectively through experiment. The main research content falls in following aspects:(1) Expatiate on the influencing factor of GIS spatial data quality according to its characteristics analysis and the function requirement of surveying and mapping results quality inspection system.(2) Expatiate on the selection of evaluation criteria and several data quality models with corresponding quality evaluation methods. The advantages and disadvantages of those methods are given on the basis of theory.(3) Digital elevation model of GIS spatial data is taken as an example. Various mathematical models are adopted under three settings to test the scoring method for defect and fuzzy comprehensive quality evaluation. Hence the conclusion is reached on the advantages and disadvantages of the two different methods.