Keynotes
Forward-looking policy making, how can GeoAI help answer societal challenges?
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From Reading Maps to Being Read by Maps
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GeoAI - From Geospatial Questions to Intelligence
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Spatial Dynamics - Linking Human Behavior to Spatial Systems through Emerging Interfaces
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GeoAI in the Age of Foundation Models
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Session #1a: Data models and tools (June 4, 10:45-12:30; Chair: Stef De Sabbata)
A good data model is worth a complex neural network: Evidence from building generalization using deep learning
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Aug4Sat: Synthetic Satellite Imagery Generation for Training Data Augmentation
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The Potential of Grounded Synthetic Corpora to Address Persistent Geoparsing Challenges
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GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
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GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
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GeoXCP: uncertainty quantification of spatial explanations in explainable AI
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Estimated uncertainty reduction of artificial intelligence models for time-series forecasting
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Session #1b: Foundational models and LLMs/VLMs (June 4, 10:45-12:30; Chair: Nick Malleson)
Using Foundation Model Embeddings to Map Colorado's Built Hazard Interface for Wildfire
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What on Earth Is AlphaEarth? Opening the Black Box of Foundation Models for Public Understanding and Use
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Learning Urban Spatial Representations via Urban Adaptation of Google AlphaEarth Foundations
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Thematic DataCubes on-Demand (TheDe): Leveraging Large Language Models (LLMs) for Geospatial Data Discovery and Exploitation in Earth Observation (EO)
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Pan-European Soil Type Classification: Embeddings vs Environmental Covariates
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Large Language Models for Time-aware Land Use Classification
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Mapping the Semantics of the Street: A VLM-Driven Geospatial Analysis in Fatih, Istanbul
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Session #2a: LLMs, agents and geospatial workflows (June 4, 14:30-16:15; Chair: Tao Cheng)
Dynamic Context Injection in LLMs: a case study on workflow modeling
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Integrating LLM-based workflows into GIS classroom learning activities
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Constraint-Aware AoV Planning for Orchestrating Autonomous Geospatial Analysis with LLMs
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Using LLMs to Apply a Cultural Event Taxonomy for Spatial Inference from Unstructured Platform Data
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Emergent Spatio-Semantic Structure in Large Language Model Embedding Spaces
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A Graph-based and LLM-agnostic Agentic Approach for Natural Language Interaction with PostGIS Databases
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GALA: A Multi-Agent GeoAI Framework for Mineral Exploration through SAM3-Augmented Knowledge Graphs and Human-in-the-Loop Validation
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Session #2b: LULC mapping (June 4, 14:30-16:15; Chair: Catherine Linard)
Guiding Deep Learning with Landscape Metrics for LULC Mapping Applications
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From Aerial Imagery to Official Statistics: Integrating Registry Data in Operational Deep Learning for Fine-Grained Built-Up Area Mapping in the Netherlands
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Machine learning for high-resolution soil sealing mapping: opportunities and challenges
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A deep-learning framework for spatial snow depth and mass estimation across the Western US from Sentinel-1 backscatter observations
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Applying Image Segmentation to 19th Century Cartographic Data for Historic Woodland Mapping in Wales
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Automated property parcel classification using very high-resolution land cover imagery and multi-modal deep learning: Effective city-scale monitoring for urban expansion outcome modelling
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LEAF-Net: Local End-to-End Cross-Modal Alignment via Feature Warping for UAV Imagery
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Session #3a: Street-level visual intelligence and perception 1 (June 4, 16:45-18:00; Chair: Siqin Wang)
Hearing Street Through Street View Imagery with Multi-modal Generative AI
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StreetSense: Using Visual Language Models as Virtual Auditors of Street-Level Pedestrian Experience
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Estimating Visible Deprivation through the Analysis of Street View Image Embeddings
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The Invisible City: Not All Streets Are Seen Equally
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AI’s Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario
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Session #3b: Thermal and risk mapping (June 4, 16:45-18:00; Chair: Shih-Lung Shaw)
HESTIA: A TESSERA-Guided Multimodal Fusion Architecture for Urban Thermal Representation Learning
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GeoAI for Renovation Governance: Automated Thermal Intelligence for Scalable Building Retrofit Strategies
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Is Proximity Enough? Thermal Comfort and Environmental Justice in 15-Minute Cities from a High-Resolution Environmental Exposure Perspective
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Urban Network Resilience in a Changing Climate: Identification of Critical Roads under Heavy Rainfall using Graph Neural Networks
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Towards the Use of Gaussian Splatting Techniques for Visibility Analysis in Road Safety
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Session #4a: GeoAI for mobility studies 1 (June 5, 10:45-12:30; Chair: Ana Basiri)
GeoAI for city-wide pedestrian flow mapping and urban regeneration
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A geospatial activity modification framework for calibrating mobility models
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Heterogeneity-Guided Tensor Decomposition for Traffic Flow Imputation
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Physics-informed GeoAI for Traffic State Inference in Large-Scale Expressway Networks
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From Static Points to Dynamic Fields: Reconstructing Spatiotemporal Boundaries of Places via AutoEncoder and Mobility Big Data
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Governing GeoAI-Enabled Autonomous Driving in the City: A Socio-Technical Governance Perspective
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Visually-driven Topic Modelling for Analysis of Movement Data
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Session #4b: Geographic knowledge graphs (June 5, 10:45-12:30; Chair: Henrikki Tenkanen)
Geographic knowledge graphs: enabling trust and interoperability in GeoAI
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Topographic Feature Graph-Based Representation and Reasoning
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Authoritative Knowledge Infrastructure for GeoAI: Implications for Scientific Spatial Data Providers
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Knowledge-Based Risk Assessment: A GeoKG Framework for Vector-Borne Disease ABMs
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A Grid-Based Spatiotemporal Knowledge Graph Framework for LLM GeoQA
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Precomputed Topological Relations for Integrated Geospatial Analysis Across Knowledge Graphs
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A DEM multi-scale generalization method based on unsupervised generative learning driven by terrain knowledge
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Session #5a: Street-level visual intelligence and perception 2 (June 5, 14:30-16:00; Chair: Angela Yao)
Algorithmic Conservatism in GeoAI-Based CPTED Auditing: Evaluating LLMs' Visual Judgement under Street-Level Uncertainty
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Benchmark evaluation of large language models for human versus AI perception on urban environment through street view images
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Consistent Visual Occlusion Inpainting Based on Dynamic Perspective Transformation and 3D Street View Reconstruction
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Spatially-Weighted CLIP for Street-View Geo-localization
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Street view-derived city built environment and vulnerability to temperature extremes: a nationally representative population-based cohort study
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Estimating road speed classes: Integrating OpenStreetMap and Street View imagery for missing data imputation
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Session #5b: Change modelling and prediction (June 5, 14:30-16:00; Chair: Samantha Arundel)
Identify different types of urban renewal implementations at the streetscape scale
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Where England's cities are growing: Evidence from big building footprint data and explainable AI
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NeuralTimeCapsule: Continental-Scale Urban Growth Prediction Using Spatio-Temporal Deep Learning
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Can GeoAI Help Predict Future Deltaic Shoreline Evolution?
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Advancing Spatio-Temporal Forecasting of Vegetation with Extended Context and Climate-Aware Learning
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Half a century of change: using declassified cold war imagery to benchmark carbon stocks in Sahelian drylands
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Session #6a: GeoAI for mobility studies 2 (June 5, 16:30-18:00; Chair: Gennady Andrienko)
Generating synthetic citywide cycling trajectories through multi-source data fusion and reinforcement learning: A conceptual model
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Trajectory Generation using Profile-Specific Transition Matrices
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Generating Individual-Level Full-Day Activity Trajectory Dataset via Large Language Models
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Generating Training Samples for Autonomous Driving: From Traffic Rules to Maps
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Seeing Around the Corner: Fusing Visual Flow and Inertial Sensors for Indoor Pedestrian Navigation
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A Computational Framework for Assessing Drivers’ Dynamic Line-of-Sight at Road Intersections Using 3D Scene Reconstruction from Multi-View Imagery
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Session #6b: Weather forecasting, ecological mapping, and flood (June 5, 16:30-18:00; Chair: Paul Liu)
Weather Emulators Push the Frontier of Heat Extremes Forecasting
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Valid Prediction Intervals for Weather Forecasting
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Graph deep learning in species distribution models: a spatial simulation
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Reinforcement Learning–Guided Spatial Ensemble Modeling for Invasive Species Distribution under Geographic Heterogeneity
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Flood Mapping Using GeoAI and Aerial RGB Imagery
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Tracing online flood conversations across borders: a watershed-level analysis of geo-social media topics during the 2021 European flood
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Session #7a: GeoAI: human aspects, ethics and impact (June 6, 8:30-10:15; Chair: Christian Kray)
Responsible GeoAI: Thoughtful Integration of GIScience and AI in the Real World
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A decision support framework for responsible use of Large Language Models in data discovery within National Spatial Data Infrastructures
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Applied GeoAI Ethics: Accountability, Visualization and Explainability
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Profiling the Hidden Costs of GeoFM Fine-tuning: Memory and Utilization-Aware Tuning Guidelines
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The urban impact of AI: modelling feedback loops in location-based recommender systems
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A roadmap for GeoAI: Definitions, directions, and key challenges
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The Role of Human Selective Attention in Urban Scene Perceptions
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Session #7b: Analysis of social and built environments (June 6, 8:30-10:15; Chair: Natalia Andrienko)
Demographic Inference from Social Media Data with Multimodal Foundation Models: Strategies, Evaluation, and Benchmarking
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Dwelling yield forecasting with urban foundation models and multi-modal geospatial data
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AE-MoSE: an AutoEncoder Mixture of Spatial Experts for Geodemographic Classification
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Spatially Explicit Graph Neural Networks for Epidemic Forecasting: Evidence from Socioeconomic Embeddings
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Augmentation of Geospatial Embedding Models with Urban Morphometrics
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Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
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A Visibility-Aware Framework for Façade-Level Building Height Estimation Using Multi-View Street-View Imagery and Building Footprints
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Session #8a: LLMs, benchmarking and evaluation (June 6, 10:45-12:15; Chair: Levente Juhász)
A Framework Based on Bloom’s Taxonomy for Evaluating Map Reading Skills of Vision-Language Models
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Introducing the VISQAM Dataset: Toward Automated Map Interpretation
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GeoFitBench-LLM: A Benchmark for Assessing Large Language Models’ Capabilities in Geospatial Data Requirements Elicitation for Geo-Analytic Tasks
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Unclassed Choropleth Maps with ChatGPT and Google Gemini
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Exploring Geographic Relative Space in Large Language Models through Activation Patching
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What Does GeoAI Learn About Space? Evidence from DE-9IM Spatial Relations
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Session #8b: GeoAI for mobility studies 3 (June 6, 10:45-12:15; Chair: Filip Biljecki)
Trustworthy Generative Human Mobility with LLMs: A Framework for Realism, Feasibility, and Explainability
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When Agents Get Lost: Dissecting Failure Modes in Graph-Based Navigation Instruction Evaluation
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Fine-grained streetscape assessment of cycling crash risk at urban intersections using street view imagery and explainable AI
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Techniques for interactive visual examination of vessel performance
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Spatial patterns of traffic saturation on Flemish highways: a six-year time series cluster analysis
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A Computational Framework for Clustering Vehicle-Cyclist Interactions in Urban Environments Using Qualitative Spatial Representations
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Posters Part 1 (June 4)
LUMI supercomputer provides GPU-computing for GeoAI projects
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The Earth Observation Training Data Lab (EOTDL)
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Employing GeoAI for building a pan-European Geodigital Twin
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A spatiotemporal ensemble machine learning framework for generating global land cover time-series maps (2000–2024)
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Research on accurate and effective identification of ecosystem surface based on human footprint index
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High resolution evapotranspiration map over Austria: leveraging AI and Sentinel-2
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GeoAI-enabled assessment of Cultural Ecosystem Services under land-use change: a spatial and participatory framework for the Alqueva landscape (Portugal)
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Towards grassland biodiversity monitoring using AI-based pattern analysis on combined aerial and satellite imagery
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Deep learning-based mapping of woody floral resources for wild bee habitat modeling
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A GCNN-Based Method for Functional Zone Recognition by Integrating Building Spatial Morphology and Courtyard-LevelContext
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Validation of GlobalBuildingAtlas Using High-resolution LOD1 Building Products for Flanders
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Geo-AI for Multi-Criteria Urban Spatial Analysis
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A Multi-Dimensional GeoXAI Framework for Explainable Spatial Modeling of Urban Heat Islands
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Exploring social and spatial inequalities in healthy and sustainable diets using big data: An observational analysis of loyalty card data from a UK Retailer, 2022.
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Understanding the Spatial Determinants and Geographical Inequalities of Community-Acquired Pneumonia in Portugal through AI and xAI models
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A Digital Alcohol Environment: Mapping Rapid Delivery Service Accessibility Across London, UK
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Predictors of Self-rated Health across Adult Life Course in Germany: An Explainable Machine Learning Analysis
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Eye Tracking to GeoAI for Context-Aware, Personalized Geospatial Experiences
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Deployment-Oriented Room-Level Wi-Fi Fingerprinting for Context-Aware Museum Way-finding and Analytics
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Data-Driven Optimization of Civil Defense Response Time Using Spatial Clustering and Queuing Models
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Automated Georeferencing of Standard Topographic Maps
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GeoAI Strategies and Goals at Geomatics Department of TKGM
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Posters Part 2 (June 5)
Sensitivity of Network Cascade Estimates to Spatial Embedding Assumptions: A Methodological Analysis Using Open Geospatial Data
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Sequence analysis of local indicators of spatio-temporal association for evolutionary pattern discovery
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Synthesis and evaluation of seamless, large-scale, multispectral satellite images using Generative Adversarial Networks on land use and land cover and Sentinel-2 data
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Improving global land cover fraction change mapping using temporal deep learning
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A Deep Learning Framework for Automated Land Use Delineation in Rural Türkiye
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Spatially Explicit Forecasting of Impervious Surface Area Growth in Developed Regions Using Deep Learning: A Case Study of North Rhine-Westphalia, Germany
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Spatially Explicit Impervious Surface Mapping Using Very High-Resolution Orthophotos in North Rhine-Westphalia, Germany: An Automated, AI-Based Approach
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Extending a Geodatabase Framework for AI-Based Analysis of Digital Elevation Models to Support Earth Observation Applications
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A GeoAI Framework for Gathering, Storing, and Analyzing Historical Agricultural Documentary Sources
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Large-scale mapping and classification of agricultural terraces in the European Mediterranean
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A practicable lightweight YOLOv8 approach for Jilin-1 based crop mapping in Kenya
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Assessing Groundwater Salinization Using Spatial Machine Algorithm Techniques
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When drought goes underground: a machine learning approach to groundwater drought
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Emulating 2D Ice-Sheet Dynamics using Graph Networks
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Applying a Model-Agnostic Machine Learning method to investigate urban environmental factors Influencing social media-based hedonic well-being
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PerceptEarth: Global Layers of Human Urban Perception Derived from AlphaEarth Foundations Satellite Embeddings
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Fearless Riders, Fearful Cities: How Infrastructure Perception, Perceived Safety and Perceived Risk Shape E-Bike Riders’ Intrusion into Motor-Vehicle Lanes
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Trajectories of Outdoor Light at Night, Small for Gestational Age, and Effect Modification by Socio-Economic Status: A Population-Based Retrospective Cohort Study
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GeoAI-based analysis of spatial associations between access to specialized healthcare and premature mortality from respiratory tract cancer
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High Resolution Urban Pavement Albedo Mapping Using GeoAI for Microclimate Cooling Assessment: A Case Study of Antwerp
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Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model
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Socioeconomic and environmental determinants of COVID-19 mortality in England: a geographical random forest analysis
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