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@STLABTW

Spatio-Temporal Lab @ NDHU

Spatial statistics, spatio-temporal modeling, and deep learning for large-scale geospatial data. Applied Mathematics, NDHU.

Spatio-Temporal Lab @ NDHU

We are a research lab in the Department of Applied Mathematics, National Dong Hwa University, Taiwan.

Team Leaders: Hao-Yun Huang, Wen-Ting Wang, Wei-Ying Wu

Research Interests

  • Spatial and spatio-temporal statistics for large-scale geospatial data
  • Statistical methods for messy and massive data
  • Spatio-temporal data analysis and modeling
  • Multi-resolution methods on the sphere
  • Deep learning approaches for spatial prediction (DeepKriging)
  • Bootstrap inference for spatial covariance parameters
  • Time series analysis and model selection

Selected Repositories

Repository Description
multi-resolution-sphere Multi-resolution spatial methods on the sphere for global SST data (paper)
spherical-deepkriging DeepKriging on the global data (preprint)

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Popular repositories Loading

  1. multi-resolution-sphere multi-resolution-sphere Public

    Multi-Resolution Spatial Methods on the Sphere: Efficient Prediction for Global Data

    R

  2. spherical-deepkriging spherical-deepkriging Public

    DeepKriging on the Global Data

    Python

  3. .github .github Public

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