2 December 2005 A spatio-temporal data mining method for dynamic monitoring of land use
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Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60450Y (2005) https://doi.org/10.1117/12.650393
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
This study investigated how to manage and use the spatio-temporal data during land use. To realize spatio-temporal data mining, the key issue to be solved in technology is how to organize spatio-temporal data. The spatio-temporal data model is just generated to solve this problem. According to analysis of spatio-temporal data changing character, two factors are very important in spatio-temporal data model. One is object, and the other is event. The object is an essential element that comprises spatio-temporal data information. The event is a fundamental factor that result in changing spatio-temporal data. A new spatio-temporal data model based on both object and event (OESTDM) was put forward to meet the demand. How to organize data, build relations between objects and storage data in spatio-temporal database are also emphatically discussed. At last, a dynamic land use information system based on OESTDM is presented. The system realized the function of managing spatio-temporal data, the retrospect of history information, tracing land parcel change, Area-Data-Change-Statistic and Analysis, and so on efficiently, by taking the land parcel data of some regions in Zhejiang province for study.
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Longmei Teng, Renyi Liu, Nan Liu, "A spatio-temporal data mining method for dynamic monitoring of land use", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60450Y (2 December 2005); doi: 10.1117/12.650393; https://doi.org/10.1117/12.650393
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