A Mixed Land Cover Spatio-temporal Data Model Based on Object-oriented and Snapshot
Spatio-temporal data model (STDM) is one of the hot topics in the domains of spatio-temporal database and data analysis. There is a common view that a universal STDM is always of high complexity due to the various situation of spatio-temporal data. In this article, a mixed STDM is proposed based on...
Main Authors: | , |
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Format: | Article |
Language: | zho |
Published: |
Surveying and Mapping Press
2016-07-01
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Series: | Acta Geodaetica et Cartographica Sinica |
Subjects: | |
Online Access: | http://html.rhhz.net/CHXB/html/2016-7-858.htm |
Summary: | Spatio-temporal data model (STDM) is one of the hot topics in the domains of spatio-temporal database and data analysis. There is a common view that a universal STDM is always of high complexity due to the various situation of spatio-temporal data. In this article, a mixed STDM is proposed based on object-oriented and snapshot models for modelling and analyzing landcover change (LCC). This model uses the object-oriented STDM to describe the spatio-temporal processes of land cover patches and organize their spatial and attributive properties. In the meantime, it uses the snapshot STDM to present the spatio-temporal distribution of LCC on the whole via snapshot images. The two types of models are spatially and temporally combined into a mixed version. In addition to presenting the spatio-temporal events themselves, this model could express the transformation events between different classes of spatio-temporal objects. It can be used to create database for historical data of LCC, do spatio-temporal statistics, simulation and data mining with the data. In this article, the LCC data in Heilongjiang province is used for case study to validate spatio-temporal data management and analysis abilities of mixed STDM, including creating database, spatio-temporal query, global evolution analysis and patches spatio-temporal process expression. |
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ISSN: | 1001-1595 1001-1595 |