Geoinformatics and Data Analysis

This book gathers peer reviewed and high-quality papers presented at 2025 8th International Conference on Geoinformatics and Data Analysis, held from April 4 to 6, 2025 in Nice, France. The topics discussed in the book are grouped into three sections including Intelligent Communication Navigation System and Positioning Algorithm Based on Geographic Location, Geospatial Monitoring and Urban Planning Based on Remote Sensing Technology, Modern Geographic Information System and Data Analysis. This book serves as a valuable reference for young scholars and researchers who are working in the fields of Geoinformatics and Data Analysis.

Presents recent research on the methodologies and algorithms in the area of Geoinformatics and Data analysis Contains the proceedings of the 2025 8th International Conference on Geoinformatics and Data Analysis (ICGDA 2025) Written by experts in the field

Inhalt

Algorithmic Analysis of GTFS RT vehicle position accuracy.- Performance Analysis and Application Research for Portable Positioning Terminals.- The Impact of Diverse Gateway Implementations on Mesh Network Performance.- A Comparative Study on Geospatial Scene Reconstruction Using GANs and Diffusion Models.- Empowering Communities through Geo volunteering: Mapping of the Selected Housing Conditions in Roma Settlements within Eastern Slovakia.- An approach to partition municipalities through clustering in the context of heat planning.- Generalizability of a RescueNet Data trained Damage Estimation Model for Evaluating Mayotte Disasters.- Colocation Mining: Identifying Regional Patterns with a Memory-Efficient Approach.- A Geo Contextualized Multi-Genre Scientific Search Engine A Novel Conceptual Design and Prototype Evaluation.- Microhabitat Restoration Applications of a Strategic Land Conservation Decision Support Model.- Using Data Mining to Uncover Association of Philippine's Demographic Data to Acute Respiratory Infection (Pneumonia) based on Secondary Data Analysis.- Enhancing Logistics Efficiency through Metaheuristics on the Capacity Vehicle Routing Problem in Paving Block Distribution.