Visualization of Spatial Data Adaptive to Changes in the Database Structure

Abstract

This paper considers the problem of redundancy minimization which occurs during spatial data visualization. The redundancy has semantic background and appears during the spatial data visualization and a visual analysis by a user. The reason of redundancy is continuous change in the database network geoinformation services structure that allows storing the processes and events of the real world. The service users are not able to continuously monitor the appearance of new objects and classes. This issue makes them search for such objects manually with cut- and-try method during a visual analysis of the cartographic image. The authors propose a mechanism to adapt the changes in a geospatial database structure. The core of the method is the cartographic image observation utility. The value is estimated by an intellectual procedure, analyzing the map working area structure. A model of controlling a useful cartographic image is described. The semantic redundancy parameters it is offered to use a direct quality evaluation of the working area by the user, as well as the results of his manual changes in the image structure. So called rules- production are built automatically to provide the adaptation. The formation algorithms of the rules are described. We have examined the problem of the generated rules-productions reliability and we offer a mechanism for validation, based on an evidence counters. We have analyzed the effectiveness of the proposed adaptation method and formulated the necessary conditions to receive a positive effect as a result.