| ISBN13: | 9783031800160 |
| ISBN10: | 3031800168 |
| Kötéstípus: | Puhakötés |
| Terjedelem: | 229 oldal |
| Méret: | 235x155 mm |
| Nyelv: | angol |
| Illusztrációk: | XX, 229 p. |
| 700 |
Geographical Information Systems
EUR 74.89
Kattintson ide a feliratkozáshoz
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.
.- 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.