A Smart Initial Map Scale Model Based on Distribution of Road Network

Abstract

Proper initial map reading scale is helpful for improving efficiency in map reading, and helpful for making correct spatial decisions to users. Due to the lack of dynamic link between map reading scale and spatial distribution of geographic information, so the initial map reading scale is often not what users want in need mostly. In order to give user a more reasonable map reading initial scale and to improve the efficiency in map reading, a smart initial map scale method is proposed which connects the initial map scale to spatial distribution of road network based on the analysis of users’ map scale operations. Firstly, the method computes distribution index of road network in different positions with Delaunay triangulation. Secondly, the relationship between spatial distribution of road network and map reading scales is established by collecting users’ reading scale data in different locations. Finally, regression model function of road network and map reading scale are obtained based on regression analysis. The feasibility of the method is verified through smart initial map scale test system in this chapter. The results show that the model can reflect the relationship between the spatial distribution of the road network and map reading scale, also is significant for exploring initial scale in electronic maps.