Uncertainty analysis of map scanning digitization and data quality control

Abstract

Map digitization is an important source of spatial data, and its process of production is complicated, the error generated by each step will influence the outcome of data quality. First, from perspective datasource, hardware, software and personnel factors related to map digitizing, the paper discussed the uncertainty; After that, an uniform spatial data quality model is built. Then starting from the map digitization data collection process, how to control data quality in the process of data collection to insure data product quality is researched. At last, spatial data quality control method is advanced, which insures the data product to meet quality requirements. Through data quality control methods discussed, its conclusions are as follows: data source quality determined the data quality of map scanning digitization; drawing orientation is an important process of digital scanning; the screen digitization is the key to ensure the quality of data. Quality control of spatial data is the key to ensure the quality of data that will also introduce new errors.

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