The Research On The Level Of Object Data Model Of Forest Resource Information

In the research field of GIS, Abstract process from the real world to the GIS can be divided into three levels that model:Conceptual model, logic data model, physical data model level of object data model make up the shortage for the current multi-scale GIS data model of focusing on logic models and physical models and being short of study about the conceptual model, Regard the idea of object-oriented hierarchical structure as the design method, run through three abstract levels of data model, have offered the thinking for the multi-scale GIS data model are designed on the whole. This model emphasizes that designs the harmony on the whole on three abstract levels of data model, it points out the direction to set out on the whole for the research of GIS data model.1) This text has studied the requirements and influence for multi-scale GIS data models from some theories and technology related to Multi-scale GIS data models, and applies the favorable factor among them to the level of object data model.2) In order to the abstract level according to the model as the thread, design level of object data model on the whole. In the conceptual level, the categorized tree set up by the level of scale and the relation of including between object. In the logic-level, non-spatial attributes and spatial data and spatial attributes separate classified, the class of Geographical elements have relations of including with the class of space elements. In the physical level, the space data of different scales are stored with level institutional framework, Geometric data storage structure of the tree-level details.3) Through with forest resources information reserves level of object data model modeling, and verify the level of object data model in multi-scale real-time data showed that the model of GIS data management more scientific and rationalization. At the same time also shows that the model in the area of forestry information Development prospects and accumulates experience for the model in forest resources information management.