Spatial Online Analytical Processing for Hotspots Distribution Based on Socio-economic Factors in Riau Province Indonesia

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.