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Geographical Information Systems: 5th Latin American Conference, GIS-LATAM 2024, Mexico City, Mexico, September 26, 2024, Proceedings [Mīkstie vāki]

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  • Formāts: Paperback / softback, 224 pages, height x width: 235x155 mm, 112 Illustrations, color; 14 Illustrations, black and white; X, 224 p. 126 illus., 112 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2298
  • Izdošanas datums: 22-Dec-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031800168
  • ISBN-13: 9783031800160
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Geographical Information Systems: 5th Latin American Conference, GIS-LATAM 2024, Mexico City, Mexico, September 26, 2024, ProceedingsPalielināt
  • Formāts: Paperback / softback, 224 pages, height x width: 235x155 mm, 112 Illustrations, color; 14 Illustrations, black and white; X, 224 p. 126 illus., 112 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2298
  • Izdošanas datums: 22-Dec-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031800168
  • ISBN-13: 9783031800160
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031800160.html
Keywords:
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 Cancśn.



.- 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.