Research And Application On The Map Manually Digitized Error Graphic Analysis Method

This paper reviews the concept, research status, generation, development, features, classification, theories and methods of Geo-informatic Geological Methodology, summarizes the domestic and foreign research present situation and development of the errors of the map digitization, analysis the error sources of the map digitization and several common distribution model of random error, summarizes the commonly used method to determine the error distribution, and based on the data of simulation experiments verify the digital point error distribution type, demonstrates the research achievements of predecessors, and to prove the theoretical error of digital map point theoretical error is to obey the P-norm Distribution( p ?1.6), the application and distance of the point of digital map error is obey to norm distribution.Reference the ideas to solve the problem of target in the statistics,according to the theory of geo-informatic graphic methodology and line is composed of points,on the base of Integral equi-density error band of a line segment in GIS, buid Digitization Line error graphic methodology. Basing on the experimental data, taking use of the mapping inversion functions, analyzing the characteristics of digital map line error distribution, using distribution fitting inspection method, the results of the digital map line error data obey the P-norm Distribution( p ?1.6). Finally analyzes the possibility of the digital line error graphic methodology application,based on preliminary design line, build the survey ship actual route and unmanned aerial vehicle(uav) flight path graphic methodology, based on the tidal changes periodically, build the shoreline change dynamic graphic methodology and he gradient graphic methodology.This paper combines the Geo-informatic Geological Methodology with study the errors of the map digitization, provides a kind of brand-new information theory and method of thinking, created a new direction of studying the distribution of the error data, enrich and improve the study of error theory, method and technology.