This paper analyzes a complicated space decision question to fire prevention in the forest from function demand for intelligent spatial decision support system (ISDSS). Its data quantity is big, data character is complex, and it has dynamic and distributed characteristics and so on. Facing the unexpected disaster and massive, complex, volatile and distribution of data and information, it is difficult for policy-maker to make in time, accurate and scientific decision-making. Therefore, it is essential to set up integrated spatial information analysis processing system, having knowledge to find intellectual DSS of ability. And spatial on-line analytical processing (Spatial OLAP) and spatial on-line analytical processing mining (Spatial OLAM, Spatial OLAP mining) are on daty of the integrated space data processing, which can find implicit knowledge and rules on the space data warehouse, and inquire and analyze in different dimension and degree. From system requirement analysis, function design, system implementation and system operation example, this article expounds the fact that has merged the design philosophy of GIS, space OLAP and intellectual DSS of the space OLAM technology have emerged and key technology. This article proposed knowledge discovery mechanism based on spatial OLAP and the OLAM, establishes one kind to integrate GIS, the spatial data warehouse, spatial OLAP/OLAM and the decision support system—a new decision analysis tool.
Wan Lu-He, Wang Ji-Fu, Zang Shu-Ying, Cui Jin-Xiang
. Intelligent Decision Support System for Forest Fire Prevention Based on Techniques of Spatial Data Mining[J]. SCIENTIA GEOGRAPHICA SINICA, 2009
, 29(3)
: 433
-438
.
DOI: 10.13249/j.cnki.sgs.2009.03.433
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