Mata-Rivera / Zagal-Flores / Elisabeth Ballari Geographical Information Systems

5th Latin American Conference, GIS-LATAM 2024, Mexico City, Mexico, September 2–6, 2024, Proceedings
Erscheinungsjahr 2024
ISBN: 978-3-031-80017-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 224 Seiten

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Mata-Rivera, Miguel Félix

Zagal-Flores, Roberto

Elisabeth Ballari, Daniela

León-Borges, José Antonio

Inhaltsverzeichnis

.- 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.