Key Issues of Multi-Scale Representation of Spatial Data

Multi-scale representation and multi-scale spatial database plays an important role in such fields as the transmission of streaming media data over web, the self-adaptable visualization of spatial information, the navigation in spatial cognition, the scale match during inter-operation and other applications. Realizing this technology has to resolve the questions including the large data volume, the slow response, the conflicts between data representations and the steep change in scale range. This study aims at the questions above presenting four strategies: storing data of multi-scale versions, accumulating changes based on the initial version, transferring between key state versions and generalizing to derive any version based on the initial state. Among four strategies, the changes accumulation model has been attached importance to be a new method which borrows the ideas from the technology of video data compress.