Vulnerability assessing contagion risk of Covid-19 using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA): Case study Chetumal, Mexico.- Land subsidence in Villahermosa Tabasco Mexico, using Radar Interferometry.- A proposal for semantic integration of crime data in Mexico City.- Crowdsourcing for Sargassum monitoring along of the Quintana Roo beaches.- The Air Quality and the relationship with the community birds from the Sierra de Guadalupe.- Swift UI and their integration to Mapkit technology as a framework for representing spatial information in mobile applications.- Forecasting the influx of people on Metrobus line 1 using a fractal analysis.- Mapping biogas from municipal waste, as potential clean energy areas in central Mexico, using Geographic Information Systems.- Geographic Information Systems for Forest Species Distribution and Habitat Suitability.- Index of Coastal Urban Resilience (ICURHF) when coping with Hurricanes and Floods in the City of Chetumal, in the south east of Mexico.- Grouping mixed documents: Mexico job offers case study.
(source: Nielsen Book Data)
This book constitutes the refereed proceedings of the First GIS LATAM Conference, GIS LATAM 2020, held in September 2020. Due to the COVID-19 pandemic the conference was held online. The 9 full papers and 2 short papers were thoroughly reviewed and selected from 29 submissions. The papers are focused on the GIS applications in data analytics in spheres of health, environment, government, public, and education. . (source: Nielsen Book Data)