Trends in geospatial technologies have led to the development of new powerful analysis
and representation techniques that involve processing of massive datasets, some
unstructured, some acquired from ubiquitous sources, and some others from remotely
located sensors of different kinds, all of which complement the structured information
produced on a regular basis by governmental and international agencies. In this chapter,
we provide both an extensive revision of such techniques and an insight of the applica‐
tions of some of these techniques in various study cases in Mexico for various scales of
analysis: from regional migration flows of highly qualified people at the country level
and the spatio-temporal analysis of unstructured information in geotagged tweets for
sentiment assessment, to more local applications of participatory cartography for policy
definitions jointly between local authorities and citizens, and an automated method for
three dimensional (3D) modelling and visualisation of forest inventorying with laser
scanner technology.