| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4402137 | Procedia Environmental Sciences | 2015 | 8 Pages |
Abstract
Hotspot data analysis will generate more useful information if the data are combined with socio-economics condition. The relation between hotspots and socio-economic conditions is important to be explored in order to identify the human factors that may cause forest fires. In the previous research, a spatial data warehouse and Spatial Online Analytical Processing (SOLAP) system for hotspots distribution were developed. However, the system does not provide other useful information such as socio-economy to analyse the cause of forest fires. The purpose of this study is to create socio-economy dimensions in the spatial data warehouse system.
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