Scaleless Representations for Polyline Spatial Data Based on Wavelet Analysis

The key for scaleless representation of geo-spatial data is how to acquire the geographic information with different details at any scales dynamically and continuously. This paper presents a scaleless and consistent representation model for multi-scale geo-spatial data by using wavelet analysis, introduces how to acquire the geographic information at multiple integer scales based on this model and how to get the interim geographic information at the fractional scales between the adjacent integer scales by subjoining the details incrementally and dynamically so as to implement the scaleless representations for ployline feature of spatial data. Some examples are demonstrated.