{"product_id":"9783032017222","title":"Web and Wireless Geographical Information Systems : 22nd International Symposium, W2GIS 2025, Mexico City, Mexico, September 8-9, 2025, Proceedings (Lecture Notes in Computer Science)","description":"\u003cp\u003eThis LNCS conference volume constitutes the proceedings of the 22nd International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2025, in Mexico City, Mexico, held during September 8 9, 2025.\u003c\/p\u003e\u003cp\u003eThe 11 full papers presented in this volume were carefully reviewed and selected from 22 submissions. \u003c\/p\u003e\u003cp\u003eThey are grouped into the following topics: Advances in Geospatial Artificial Intelligence: From Pixel-level Vision to Large-Language Models; Data-driven Urban Health \u0026amp; Safety: Environmental Exposure, Crime, and Disease Dynamics; Location Intelligence for Urban Resources, Mobility, and Commerce.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Advances in Geospatial Artificial Intelligence: From Pixel-level Vision to Large-Language Models.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Enhancing Urban Image Segmentation with Color Range Mask Layer: A Deep Learning Approach Using Airborne Data.\u003c\/p\u003e\u003cp\u003e.- AIGC Image Features for GIS: A Preliminary Test of Elements, Colors, and Spatial Structure in Recommendation Tasks.\u003c\/p\u003e\u003cp\u003e.- Quality Assessment of Tourist Generated Contents: A Large Language Model Approach.\u003c\/p\u003e\u003cp\u003e.- Integrating ChatGPT and Geospatial Resources: A Virtual Assistant for Enhanced Decision-Making in Disaster Response.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Data-driven Urban Health \u0026amp; Safety: Environmental Exposure, Crime, and Disease Dynamics.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Discovering Urban Insights of Air Pollution in Mexico City Using\nSocial Networks.\u003c\/p\u003e\u003cp\u003e.- An Urban Data Analytics Approach to Explore the Relations Between Trends of Air Pollution and Crime in Mexico City.\u003c\/p\u003e\u003cp\u003e.- Diabetes Disparities in Mexico: A Spatio-Temporal and Marginalization Index Analysis.\u003c\/p\u003e\u003cp\u003e.- Predictive Model for Identifying High-Risk Areas in the Public Transport Network of Mexico City.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Location Intelligence for Urban Resources, Mobility, and Commerce.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Analyzing Water Consumption Patterns in Mexico City: A GIS and Data Science Approach.\u003c\/p\u003e\u003cp\u003e.- Geospatially-Informed Recommendations for Automobile Purchases: Integrating Spatial Analysis for Enhanced Decision-Making.\u003c\/p\u003e\u003cp\u003e.- Predicting the Spatial Longevity of Small and Medium-Sized Enterprises in Mexico City: A Location Intelligence Analysis of Veterinary Clinics.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":48869484724459,"sku":"00000_00000_00000_00000","price":238.03,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9783032017222-1.jpg?v=1781718006","url":"https:\/\/kinokuniya.com.sg\/products\/9783032017222","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}