Symposium Programme

Keynotes

A 10 Year Review on Developing and Maintaining Sustainability Indicators for Cities in Chile - A GIS Perspective 

Rethinking Urban Conflicts: From Isolated Events to Networked Geographies

Session 1 – 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 

Unified conceptual keywords

Artificial-Intelligence-Generated Content (AIGC); Large-Language Models (ChatGPT, Virtual Assistant); Image Color & Bands; Image Features (element, spatial structure); Semantic Segmentation (U-Net); Quality Assessment; Multimodal Recommendation; Geospatial Resources; Urban Environment; Emergency Scenarios; User-Generated Content (VGI Image and tourist data)

Session 2 – 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 

Unified conceptual keywords

Air Pollution; Crime analysis; Data Science & Mining; Statistical Modelling (association, regression); GIS & Spatial Data Science; Spatio-Temporal Analysis; Social Networks; Transportation Systems; Margination Index; Health Outcomes (Deaths, Diabetes Mellitus, Hospitalizations)

Session 3 – 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 

Unified conceptual keywords

Location Intelligence & GIS; Data Mining & Machine Learning (Spatial Data Analysis); Recommender Systems; Water Consumption; Veterinary Clinics (SME Survival); Mexico City