Inflection Point: Multi-Agent AI and the Future of Cartographic Practice and Knowledge Production

How to trust AI-generated maps

High-Frequency Guided Multi-Level Cross-Attention Mamba Network for Damage Building Mapping

Modernization of Canadian Digital Topographic Data

Towards Geo-AI enabled spatiotemporal regularities unveiling: A mini-review of pathways, challenges, and prospects

Predicting the Non-agricultural Conversion of Cropland using a Graph Attention Network based Method: the Case Study  of Wuhan, China

Exploring the link between neural network metrics and the completeness and connectivity of predicted watercourses.

Training-free Urban Tree Counting with Multi-modal data

HOPE - High-resolution Operational Population Estimation with GNN

What do you see? An XAI approach for VLM-generated map descriptions

Double thresholding GeoAI prediction to fill gaps in extracted watercourse network

AI-based Accuracy Improvement of Precipitation Mapping for the Korean Peninsula

Generating Consistent Sets of Map Icons Using AI

An Exploration of Deep Learning based Road Network Extraction from High-Spatial-Resolution Remotely Sensed Imagery

Semantic Segmentation-based approach to the analysis of old maps

Vector-Based Super-Resolution Mapping with the Population Dynamics Foundation Model

A Wide-and-Deep-Based Time Sequence Model for Predicting Power Outages Caused by Extreme Winter Storms

Precise Vegetation Index Mapping and Analysis Through AI-based Atmospheric Correction of Sentinel-2 Satellite Imagery

GAGE-Q: Reinforced Genetic Algorithm using Spatial Neighborhood Graph Embedding for Green Intermodal Transportation

Perceiving Multidimensional Disaster Damages from Street-View Images Using Visual-Language Models

Agricultural Cultivation Parcels Extraction and Crop Mapping Using Multisource Remote Sensing Data and Intelligent Algorithms

A Pan-Map Knowledge Recommendation Method Based on Visual Dimension Theory

Waterloo Urban Scene Dataset: An Annotation-Efficient Dataset for Urban Scene Classification with Minimal Supervision

From Maps to Meaning: An Exploratory Study of Generative AI Models’ Use of Statistical Maps

Mapping Canada: Addressing challenges through collaboration and innovation

CNN-Based Geometric Feature Embedding Using Coordinates for Cartographic Generalization Tasks on Building Footprints

Generating Analysis-Ready Geospatial Products from National Historical Air Photos

Exploring cartographic language for AI

Artificial Intelligence and Cartography Education: Some Possibilities

Mapping pedestrian flow from surveillance cameras for sustainable spatial planning

Saliency-Driven Map Consistency: A Quantitative Approach to Cartographic Evaluation using Computer Vision

Spatial Susceptibility Mapping of Boreal Forest Fires: Insights from Quebec’s Historical and Future Trends (1980-2050)

Enhancing Flood Management in Canada: Leveraging SAR and AI for Improved Emergency Response

Dynamics of Forest Fires in PNN El Tuparro: Application of Remote Sensing and Machine Learning in Environmental Monitoring.

Challenges of deep learning recognition of cultivated terraces and their mapping: The case of Slovenia

Enhancing Aerial Data Semantic Segmentation with a Colour Range Mask Layer: A Deep Learning Approach

Toward Machine Cartography: Development Prospect of High Definition Maps for Autonomous Driving

Development of AI geo-agents for retrieval, analysis, and visualization of spatial data

AI-Based Plant Phenology Mapping and Analysis Using Satellite Imagery and Meteorological Data

Building a GIS-Based Place Name Dictionary: Advancing Spatial Humanities with MapKurator and Historical Topographic Maps of Japan

Envisioning Generative Artificial Intelligence in Cartography and Mapmaking

Mapping the Vanishing and Transformation of Urban Villages in China: A Tale of Three Cities

Can machine learning help to unify river selection for small-scale map design?

Modernization of topographic mapping

Uncertainty-aware geospatial visual analytics

Relief classification using artificial neural networks