Research On Rapid Visualization Of Tile Data And Application In Forest Area Map Service

In the GIS,the tile map service is a relatively basic and core map service model in the process of spatial data visualization.Facing massive spatial data from multiple sources,it is difficult for traditional visualization methods to take into account both spatial data rendering accuracy and rendering performance.Map tile visualization is slow and system resource consumption is high,which limits the integration and application of map services.This study proposes a rapid visualization method of tile data,explores the use of map tile data model,combined with tile memory cache strategy,optimizes the organization and management of tile data and memory utilization,and improves the efficiency of map tile visualization.This research starts with the three aspects of tile data organization and management model,memory tile cache structure and cache replacement strategy to optimize the performance of tile map services.First,through the design of map tile organization and management technology to provide efficient data support for its visualization.The adaptive resolution vector tile construction algorithm and Z-Index index are combined to realize the efficient organization and management of vector tiles.At the same time,two cache methods of preloading and map package are used to improve the efficiency of tile data requests under different network states.Experiments show that the above-mentioned method can reduce the redundancy of vector tile data while ensuring the rendering effect of elements,make the data volume more balanced,and request load more efficient,which provides a new solution for the rapid visualization of large-scale vector data.Second,for map tile data that presents spatially distributed clusters,a neighborhood tile cluster cache structure is designed according to the tile spatial autocorrelation coefficient.Experiments show that this method effectively improves memory space cache density and tile retrieval efficiency.Third,according to the characteristics of the user when accessing the map tiles,a cache replacement strategy based on the access load of the map tiles is adopted.By defining the tile cache utility value,the map tiles with lower cache utility values are preferentially replaced to achieve efficient memory space Scheduling.Experiments show that this strategy has a high cache hit rate,which can effectively reduce the tile request time and memory resource consumption in the application,and can provide efficient cache data support for the tile map service.Furthermore,taking the forest area map service application as an example,based on the digital earth platform,using large data volume and multi-resolution forestry spatial multi-source data,a forest area map tile rapid visualization system was designed and implemented,and the proposed algorithm was verified The feasibility and performance improvement in the forest area map service can provide a basic map service with high performance and low resource consumption for forestry informatization.