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.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
