多源小班时空数据更新框架

doi:10.11707/j.1001-7488.20140803

Abstract

Abstract:

Forestry department has been going to collect data reasonably and termly. But, the development of forest resource data model and data updating mode are slower than the development of the data acquisition. Each set of data exists in isolation and has little relation with each other so that it could not represent the spatio-temporal change of forest resources systematically and thoroughly. Based on combining the spatio-temporal theory with forest resource information management, this article put forward a framework, which consists of spatio-temporal model, data collection, data updating and spatio-temporal database. In the framework, the data collected by different method would be formed as 3 hierarchies of objects, which then would be updated into the spatio-temporal database defined by spatio-temporal data model. The data in the database should keep the validity of object relation, spatial constraint and time constraint. The article verified the feasibility of the framework by a prototype system.

Key words: spatio-temporal data model, data updating, forest resources, multi sources data

CLC Number:

P208

Xia Kai, Liu Renyi, Liu Nan, Zhang Guojiang. Updating Framework for Multi-Sources of Subcompartment Spatio-Temporal Data[J]. Scientia Silvae Sinicae, 2014, 50(8): 15-21.

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Updating Framework for Multi-Sources of Subcompartment Spatio-Temporal Data

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