Research on visual analysis method for anomaly patterns of urban water supply temporal-spatial data
The visualization of spatio-temporal data is widely used in various industries and is crucial for data analysis.However,traditional visualization methods have certain limitations when dealing with spatio-temporal data of urban water supply with multidimensional attributes.Firstly,they focus on visualizing a specific data format and lack scalability.Secondly,they do not provide diversified category visualization.To address these challenges,this paper proposes an interactive method for visualizing and analyzing spatio-temporal data of urban water supply and develops a cor-responding visual analysis tool.This tool designs a new impact view based on the lens strategy,a method for aggregating,abstracting,and simplifying the presentation of multivariate spatio-tem-poral data.It can achieve multivariate visualization,interactive exploration,and analysis of water supply spatio-temporal data and is used to analyze and infer the implicit effects of the current pat-tern.This tool also assembles a set of effective interactive visualization to support state monito-ring,factor checking,and cascading search,promoting in-depth cascading analysis.By combining spatio-temporal data with interactive visualization,analysts can infer and explain potential casca-ding patterns in spatio-temporal background.The paper provides a case study of accurate urban water supply data to demonstrate the effectiveness of the interactive analysis method.
Visual analysisInteractive visualizationWater supply systemSmart waterSpatiotemporal data
万方数据
维普
