This innovative tool employs a sophisticated methodology to assess both quantitative and qualitative housing deficits, utilizing a combination of census data, luminosity data extracted from satellite images, and advanced association analysis techniques.
The tool operates through a multi-step process: firstly, it employs census data to define and quantify various levels of housing deficits—quantitative, qualitative, and total. Secondly, it discerns intricate patterns in the presence of indicators that signify qualitative deficits, utilizing cutting-edge association analysis. Lastly, the tool harnesses regression analysis to project the extent of qualitative and total deficits, incorporating data gleaned from satellite imagery to fill in gaps when current census information is unavailable.
This tool was meticulously crafted to lend robust support to Guyana's National Housing Strategy, drawing inspiration from the trials of Colombia's National Administrative Department of Statistics. In regions like Guyana and numerous others across the area, the urgency of addressing qualitative housing needs often surpasses that of quantitative demands. Moreover, the tool acknowledges that relying solely on the latest census data can sometimes hinder the identification of real-time qualitative housing challenges