Web and Wireless Geographical Information Systems

.- Advances in Geospatial Artificial Intelligence: From Pixel-level Vision to Large-Language Models. .- Enhancing Urban Image Segmentation with Color Range Mask Layer: A Deep Learning Approach Using Airborne Data. .- AIGC Image Features for GIS: A Preliminary Test of Elements, Colors, and Spatial Structure in Recommendation Tasks. .- Quality Assessment of Tourist Generated Contents: A Large Language Model Approach. .- Integrating ChatGPT and Geospatial Resources: A Virtual Assistant for Enhanced Decision-Making in Disaster Response. .- Data-driven Urban Health & Safety: Environmental Exposure, Crime, and Disease Dynamics. .- Discovering Urban Insights of Air Pollution in Mexico City Using Social Networks. .- An Urban Data Analytics Approach to Explore the Relations Between Trends of Air Pollution and Crime in Mexico City. .- Diabetes Disparities in Mexico: A Spatio-Temporal and Marginalization Index Analysis. .- Predictive Model for Identifying High-Risk Areas in the Public Transport Network of Mexico City. .- Location Intelligence for Urban Resources, Mobility, and Commerce. .- Analyzing Water Consumption Patterns in Mexico City: A GIS and Data Science Approach. .- Geospatially-Informed Recommendations for Automobile Purchases: Integrating Spatial Analysis for Enhanced Decision-Making. .- Predicting the Spatial Longevity of Small and Medium-Sized Enterprises in Mexico City: A Location Intelligence Analysis of Veterinary Clinics.