The Incertitude Disposal Methods of the Spatial Data

In the process of constructing and applying the GIS, the data is the object of the GIS operation and the basis of the science decisionmaking and analysing so that the data quality is determined the success or failure of the whole system application. Any indeterminations in the data layers can diffuse through analysing and combining with other error source. It makes risks to decisionmaking. The theory and method of incertitude analysis in the GIS and RS is one of the GIS study focus at present, because there is not a mature and systemic theory and method to disposing the incertitude in the GIS. In this article, we study mostly the incertitude of the spatial data, the method of disposing the incertitude in the GIS and RS. In this paper, the inadequacies of the current incertitude control methods for spatial data were pointed out. We argue that some strategies can be taken to manipulate incertitude according the spacial data incertitude resource. Robust algorithm can effectively avoid incertitude and improve the spacial data qualities in the process of spacial data, and spatial data incertitude can be control by studying robust algorithm. * Corresponding author: M. H. Liu, Email:[email protected], Tel: 023-62468627