The challenges of integrating explainable artificial intelligence into GeoAI
J ** geoparsers with generic resources
Geoparsers aim to find place names in unstructured texts and locate them geographically.
This process produces georeferenced data usable for spatial analyses or visualisations …
This process produces georeferenced data usable for spatial analyses or visualisations …
A GIS based spatiotemporal modelling approach for cycling risk map** using crowd-sourced sensor data
The major objective of this study is to apply integrated data-driven methods to estimate
cyclist risk and discomfort in Berlin based on the OpenSenseMap dataset. The proposed …
cyclist risk and discomfort in Berlin based on the OpenSenseMap dataset. The proposed …
RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks
H Guo, H Wang, D Zhu, L Wu, AS Fotheringham… - arxiv preprint arxiv …, 2025 - arxiv.org
Modeling spatial heterogeneity in the data generation process is essential for understanding
and predicting geographical phenomena. Despite their prevalence in geospatial tasks …
and predicting geographical phenomena. Despite their prevalence in geospatial tasks …