Research On The Universal Processing Framework Of Multi-source Heterogeneous Data Integration In The Field Of GIS

In GIS data processing or systems development,always contacting with all kinds of GIS and Non-GIS data,and then considering how to integrate them into same system,so the spatial data integration has become a research hotspot.In technical angle,from the aspect of integration between spatial data and attribute data,we will encounter all sorts of official data,online history statistics data that quantity is always not too large which are needed to integrate with existing GIS vector data.with the coming of the era of big data,in the aspect of integration between spatial data and attribute data,The two tough problems of a large number of integrated geographical vector map spot and image attribute data integration need to be better solved,in particular,it is important to note that spatio-temporal data integration storage is also looking forward to a new solution at this aspect;From the aspect of multi-source spatial vector data integration,Using GML as unified integrated transport format coordinated with SVG visualization has been always more praised highly in the development of WebGIS,new method need to be proposed in view of GML’s redundancy,There are surely researched from some other particular scenes in essay besides that.According to the two aspects,there are needed to have a universal processing strategy and procedure framework aiming to achieve some goals that not only contain optimization scheme but also some references faced with multi-scenario situation and common data categories.Framework are used to prepare solid underlying data for subsequent development.In this paper,a framework for multi-source integrated storage and processing is proposed.The specific research work can be summarized as the following two aspects:(1)In the aspect of integration between spatial data and attribute data,The research is carried out when encounted with the scene which involves integration between vector space data and report data,official statistics based on ArcSDE and FME.It has been applied to the Silk Road economic belt system.When encounted with the scene which involves massive integrated vector data and image attribute data integration,there is firstly a research about measurement performance comparison between SequoiaDB and MongoDB on many situations containing bulk insert,different scaling operation between query and update.Secondly,the paper proposes the combination strategy about two unstructured and conducts research on the processing method for them.In particular,there is a particular research on the spatio-temporal data integration storage included in the aspect of integration between spatial data and attribute data.At the end,the platform of integrated storage on massive spatial data and attribute data was designed catering for SequoiaDB.(2)In the aspect of multi-source spatial vector data integration,when develo ping the GIS system,some particular scenes are often encounted,the paper condu cts thorough research on two common scene-domestic and foreign vector data int egration,containing udb data integrated into shp data and integration between CA D data and GIS data.A detailed facility step framework based on MyFME and A rcMap is distinguishly proposed.Secondly,when developing with WebGIS progra m,there proposes a new scheme which uses GeoJson as unified integrated transpo rt format and baidu map with AJAX as visualization strategy.Using GeoJson as unified integrated transport format was feasibly verified on the project named as immigrant relocation system.Finally,the framework was concluded.