GIS and Machine Learning for Small Area Classifications in Developing Countries

Using two developing countries as case studies for small area segmentation techniques the book connects new trans-disciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS. This offers stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings.