Geographical Information Systems

This book constitutes the refereed proceedings of the 5th Latin American Conference on Geographical, Information Systems, GIS-LATAM 2024, held in Mexico City, Mexico, during September 2-6, 2024.

The 14 full papers were thoroughly reviewed and selected from 35 submissions. The papers focused on the following topics: Sustainable Energy and Resource Management, Environmental Monitoring and Management, Public Health and Social Issues, Education and Technology in GIS, Climatic Patterns and Natural Disasters.

Klappentext

This book constitutes the refereed proceedings of the 5th Latin American Conference on Geographical, Information Systems, GIS-LATAM 2024, held in Mexico City, Mexico, during September 2-6, 2024. The 14 full papers were thoroughly reviewed and selected from 35 submissions. The papers focused on the following topics: Sustainable Energy and Resource Management, Environmental Monitoring and Management, Public Health and Social Issues, Education and Technology in GIS, Climatic Patterns and Natural Disasters.

Inhalt

.- Geographics aspects and LOPA Methodology: A Comprehensive Approach to Biogas generation plants.

.- Google Earth Engine Based Forest Monitoring and Decision Support: Evidence From Elrawashdah Forest,Sudan.

.- Geospatial intelligence for Circular Economy in Mexico City.

.- Integrating a GIS enhanced security system in Wireless Sensor Networks (WSN): A Geospatial Deployment Approach.

.- Spatio-temporal Analysis of Diabetes-related Hospitalizations: Geographical Areas of Mexico

School clustering throught machine learning and geospatial analysis.

.- Spatial Regression Models on Sexual Violence against Women in Mexico City.

.- Geographic Gamification Strategies in Mathematics Education: Enhancing Linear Algebra Learning at the Technological University of Cancún.

.- Spatial Analysis of Student Feedback on Learning Management Systems in Mathematics: Leveraging GIS for Enhanced Insights.

.- Semi-automatic construction of knowledge graphs on Natural Disasters in Mexico using Large Language Models.

.- Spatial and seasonal patterns of rainfall climate teleconnections in three hydropower generation basins in tropical Ecuador.

.- Implementation of spatial correlations and kernel densities to identify deficiencies in the coverage of public health infrastructure.

.- Indices and State of Vegetation Health, obtained with multispectral cameras, in two thermal springs of the Sierra Madre Oriental.

.- Identifying spatio-temporal patterns of COVID-19 vaccination effects in social networks of Mexico City.