Annals of GIS

🔍 Can GIS automate 3D modelling of historic buildings? This study combines LiDAR, orthophotos, and building footprints to create accurate LOD2 models in Esri CityEngine. 🔗 doi.org/10.1080/19475683.202…

🔍 How can high-performance computing and machine learning advance geospatial discovery? This review synthesizes 289 studies, mapping how HPC–ML integration supports faster analysis, improved accuracy, finer spatial and temporal resolution. 🔗 doi.org/10.1080/19475683.202…

🔍 Can democracy’s influence on economic growth cross national borders? This study finds that democratic governance can generate growth spillovers across borders, including benefits for less democratic regions. 🔗 doi.org/10.1080/19475683.202…

🔍 Can digital storytelling make historical maps more accessible and engaging? This study uses StoryMaps to explore 772 historical maps and visualize the development of Spain’s provincial boundaries, supporting historical education. 🔗 doi.org/10.1080/19475683.202…

🔍 Can GIS make historical spatial analysis more accessible and reproducible? This study introduces a KNIME-based workflow that helps humanities researchers analyze historical spatial data and mobility patterns without requiring GIS expertise. 🔗 doi.org/10.1080/19475683.202…

🔍 Can GIS reassess the accuracy of historical maps? This study evaluates two Qing Dynasty maps using lake-based spatial analysis, revealing their positional accuracy, projection effects, and sources of cartographic distortion. 🔗 doi.org/10.1080/19475683.202…

🔍 Can GIS and uncertainty modelling improve estate crop planning in tropical regions? This study integrates EWM–AHP and Monte Carlo simulation to support robust crop-planning decisions under uncertainty. 🔗 doi.org/10.1080/19475683.202…

🔍 Can raster-based GIS improve corridor planning in fragmented landscapes? This study introduces a GIS model that simultaneously identifies stepping stones and routes across fragmented habitats, supporting rapid and less subjective plan. 🔗 doi.org/10.1080/19475683.202…

🔍 Can lightweight deep learning improve small object detection in UAV imagery? This study introduces RE-YOLO, a compact detection model that combines multi-scale features, attention mechanisms, and efficient feature enhancement. 🔗 doi.org/10.1080/19475683.202…

🔍 Can dual attention improve hyperspectral image classification? This study combines deterministic and probabilistic attention to improve classification accuracy while quantifying uncertainty across hyperspectral datasets. 🔗 doi.org/10.1080/19475683.202…

🔍 Can federated learning predict human trajectories while preserving privacy? This study uses federated LSTM models to learn from multiple mobility datasets without directly sharing sensitive location data. 🔗 doi.org/10.1080/19475683.202…

🔍 Can mobile app location data improve traffic flow estimation? This study shows that geometric-temporal processing of multi-source mobile phone data provides more accurate street-level traffic estimates than simpler counting and map-matching methods. 🔗 doi.org/10.1080/19475683.202…

🔍 Can interactive GIS workshops improve physician scientists’ GIS skills? This study demonstrates that hands-on QGIS training significantly enhances GIS knowledge, confidence, and spatial analysis skills for public health research. 🔗 doi.org/10.1080/19475683.202…

🔍 How reliable are deep learning predictions of PM₂.₅ risk? This study combines convolutional neural networks, spatial interpolation, and Bayesian uncertainty methods to map PM₂.₅-prone areas and assess prediction reliability across Tehran. 🔗 doi.org/10.1080/19475683.202…

🔍 Can GLCM features improve forest carbon estimation? This study uses LiDAR-derived GLCM features and explainable machine learning to estimate organic carbon in living trees and standing deadwood across Italian forests. 🔗 doi.org/10.1080/19475683.202…

🔍 Can SGWR scale efficiently? This study speeds up SGWR with optimized AICc calculation, MPI parallel processing, and a Python implementation. 🔗 doi.org/10.1080/19475683.202…

🔍 Can machine learning reveal decades of bush encroachment in semi-arid rangelands? This study finds that random forest outperforms kNN and SVM, showing woody vegetation more than tripled in South Africa’s Mokala National Park from 1988 to 2023. 🔗 doi.org/10.1080/19475683.202…

🔍 Do higher ROC values lead to better land-change simulations? This study shows that improved ROC performance does not always translate into more accurate land-change modeling. 🔗 doi.org/10.1080/19475683.202…

🔍 How can representation learning improve geospatial analysis? By extracting patterns from diverse geospatial data, it enhances analytical performance and supports the development of multimodal GeoAI for understanding complex geographic phenomena. 🔗 doi.org/10.1080/19475683.202…

🔍 How can GeoAI advance urban computing? By combining geospatial intelligence with AI-driven spatiotemporal analysis, GeoAI supports smarter transportation, environmental monitoring, public safety, and sustainable urban development. 🔗 doi.org/10.1080/19475683.202…