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@HPSCIL

High-performance Spatial Computational Intelligence Lab @ China University of Geosciences (Wuhan)

Popular repositories

  1. Patch-generating_Land_Use_Simulation_Model Patch-generating_Land_Use_Simulation_Model Public

    The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the dri…

    115 39

  2. cuSTARFM cuSTARFM Public

    cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

    Cuda 67 34

  3. cuESTARFM cuESTARFM Public

    cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

    Cuda 49 24

  4. Mixed_Cell_Cellullar_Automata Mixed_Cell_Cellullar_Automata Public

    The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mi…

    40 11

  5. cuFSDAF cuFSDAF Public

    cuFSDAF is an enhanced FSDAF algorithm parallelized using GPUs. In cuFSDAF, the TPS interpolator is replaced by a modified Inverse Distance Weighted (IDW) interpolator. Besides, computationally int…

    C++ 30 8

  6. Open-Space-Cellular_Automata Open-Space-Cellular_Automata Public

    A spatio-temporal approach based on Cellular Automata (CA) for simulating the spatial dynamics of open spaces (include urban green spaces, parks, squares, trails, courtyards, and other natural spa…

    25 8

Repositories

Showing 10 of 19 repositories
  • rupMC Public

    rupMC is a parallel Marching Cubes (MC) program based on the ray-unit. Firstly, ray-units are used in rupMC as the basic voxel to determine how the surface intersects. Secondly, rupMC uses multiple computing processes and threads on a CPU/GPU heterogeneous architecture to process the points concurrently.

    C 0 0 0 0 Updated Apr 17, 2024
  • mcMCCA Public
    Shell 0 0 0 0 Updated Apr 11, 2024
  • mcPLUS Public
    Shell 0 0 0 0 Updated Apr 10, 2024
  • Patch-generating_Land_Use_Simulation_Model Public

    The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.

    115 39 0 0 Updated Feb 22, 2024
  • MSTGAN-airquality-prediction Public
    Python 0 0 0 0 Updated Jan 21, 2024
  • cuFSDAF Public

    cuFSDAF is an enhanced FSDAF algorithm parallelized using GPUs. In cuFSDAF, the TPS interpolator is replaced by a modified Inverse Distance Weighted (IDW) interpolator. Besides, computationally intensive procedures are parallelized using the Compute Unified Device Architecture (CUDA), a parallel computing framework for GPUs. Moreover, an adaptiv…

    C++ 30 GPL-3.0 8 0 0 Updated Sep 4, 2023
  • CSD-RkNN Public

    CSD-RkNN: Conic Section Discriminances for Large Scale Reverse k Nearest Neighbors Queries

    Python 3 MIT 1 0 0 Updated Aug 11, 2023
  • Mixed_Cell_Cellullar_Automata Public

    The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mixed-cell CA models is the capability of simulating the quantitative and continuous changes of multiple landuse components inside cells.

    40 11 0 0 Updated Aug 10, 2023
  • intCBDS Public
    0 0 0 0 Updated Feb 6, 2023
  • cuESTARFM Public

    cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

    Cuda 49 GPL-3.0 24 7 1 Updated Jul 26, 2022
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