New paper: Identifying urban villages: an attention-based deep learning approach that integrates remote sensing and street-level images
by Hu et al.
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https://t.co/aGCjoNAO7Y
New paper: Medark: a map-matching error detection and rectification framework for vehicle trajectories
by Wan & Dodge
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https://t.co/35irR4kTcx
New paper: Deep-reinforcement-learning-based optimization for intra-urban epidemic control considering spatiotemporal orderliness
by Li et al.
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https://t.co/D1i7DbDGaX
New paper: A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation
by Luo et al.
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https://t.co/UbG5oalNUw
New paper: Towards an integrated approach for managing and streaming 3D spatial data at the component level in spatial data infrastructures
by Yu et al.
#ijgis
https://t.co/M0GCxNZvko
New paper: Space-time tree: a spatiotemporal construct for efficient similarity matrix calculations among network-constrained trajectories
by Luo et al.
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https://t.co/eAVqrPa7Ym
New paper: Understanding of the predictability and uncertainty in population distributions empowered by visual analytics
by Luo et al.
#ijgis
https://t.co/27dvGjchUW
New paper: Building pattern recognition by using an edge-attention multi-head graph convolutional network
by Wang et al.
#ijgis
https://t.co/O9UDWOxh4a
New paper: Efficient matrix algebra encoding for urban solar irradiation simulation: fine-grid ground-level estimation with vector data
by Cui & Leduc
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https://t.co/ofapZzWaNO