Spatial Similarity Assessment Model Of Point Clusters In Multi-scale Map Spaces

Spatial similarity is the basic content of spatial cognition,which is of great significance to people 's understanding of space world.The similarity of multi-scale spatial objectives is one of the hot issues in GIS research.The point clusters is a kind of geo-spatial group target,and its multi-scale similarity relationship can be used to evaluate the comprehens ive results of computer graphics of space clusters(point clusters)target,perfect the spatial relation theory of geographic information system,from qualitative evaluation to quantitative evaluation and so on.Because of the poor computability of spatial similarity relationship and the complexity of space object and its surrounding environment,there are many factors to be considered in space similarity relation,which leads to less attention to spatial similarity.In the past,the theoretical research mainly analyzes the single factor which affects the target of the point group from the certain factors that influence the target of the point group,and studies the similarity relation qualitatively,and does not fully and fully consider the common action of other characteristic factors.The influence of the blank area inside the point group.In this paper,based on the previous study,a multi-scale point cluster target similarity calculation model is established to calculate and express multi-scale point cluster target similarity.Whether the characteristic factors of the relationship are similar and how similar the degree of similarity is found,and the quality of cartography is evaluated.The main work of this paper includes the following contents:(1)A description of the basic theory of multi-scale similarity.This paper reviews the definition,nature and classification of the similarity relation of multi-scale space,and discusses the spatial clustering method of the blank area of the extraction point group and the analytic hierarchy process which gives the weight of each feature factor.According to the characteristics of the point cluster data,This paper summarizes the factors that affect the similarity relationship between multi-scale point clusters,including spatial relations and geometric features.Among them,the spatial relations influence factors have topological relations,direction relation,distance relation,geometric characteristics distribution range and distribution density.(2)Quantify the similarity relation of multi-scale point cluster target,and extract the blank area in each target group by adaptive spatial clustering method,and use the blank area as the constraint,and use the point cluster target.The similarity calculation model of the multi-scale point cluster target is defined by using the main skeleton line and the longest distance.The similarity calculation model of the multi-scale point cluster target is calculated and the similarity calculation model of the distance relation is calculated.In this paper,the "skinning" method is used to determine the influence range of the point group target,and the similarity degree calculation model of the multi-scale point group cluster distribution range is proposed.The multi-scale point group cluster distribution density calculation model is determined by the local relative density ranking of multi-scale spatial relationship.(3)In order to express the multi-scale point density similarity calculation model more accurately,the weight of each feature factor is determined by analytic hierarchy process(AHP),which is integrated into the multi-scale point cluster similarity calculation model.(4)According to the method proposed in this paper,the similarity relationship between the various factors of the multi-scale of the point cluster is calculated and measured,which provides a more accurate method for the evaluation of the comprehensive quality of drawing...