Automatic initial scale map making method based on space distribution of road network

TL;DR: In this paper, an automatic initial scale map making method based on space distribution of a road network is proposed. But the method is not suitable for the use of road networks in the generation process of a digital map, and the initial scale is automatically selected according to the density degree of space distribution.

Abstract: The invention discloses an automatic initial scale map making method based on space distribution of a road network, and belongs to the technical field of digital maps, location-based services, and geographic information. The automatic initial scale map making method based on space distribution of the road network is mainly used for achieving the purposes that in the generation process of a digital map, a reasonable initial scale is automatically selected according to the density degree of space distribution of the road network of the current position, and the digital map is output. The automatic initial scale map making method based on space distribution of the road network comprises the steps of calculating indexes of space distribution of the road network, building a functional relation between space distribution of the road network and the reasonable initial scale, and outputting the automatic initial scale map. According to the automatic initial scale map making method based on space distribution of the road network, firstly, control points and interest points of the road network are extracted on the basis of a hierarchical display model, then, a Delaunay triangulation network is generated and is stored, a functional relation between space distribution of the road network and initial map scales is built by collecting sample data of reasonable initial map scales selected by users at different positions, and initial reading scales are automatically selected for the users through the functional relation according to the indexes of space distribution of the road network of the positions of the users.