A Zonal Displacement Approach via Grid Point Weighting in Building Generalization

When generalizing a group of objects, displacement is an essential operation to resolve the conflicts arising between them due enlargement their symbol sizes and reduction available map space. Although there are many methods, most rather complicated. Therefore, more practical methods still needed. In this article, new building approach proposed. For purpose, buildings grouped zones created for in blocks via Voronoi tessellation buffering. Linear patterns then detected through buffer analyses respective narrowed be able preserve these patterns. After all displaced inside zones, grid points generated weighted kernel density estimation find suitable locations. Accordingly, toward computed locations iteratively. The proposed directly enforces minimum distance positional accuracy constraints while several indirect mechanisms used preserving spatial relationships. quality evaluation displacement, angle, length shape comparison measures introduced, based on (Delaunay) triangles or azimuth measure connection lines, buildings. criteria yielded according visual assessment quantitative analysis measures. findings demonstrate that quite effective zonal displacement.