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@HPSCIL

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

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  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…

    134 45

  2. cuSTARFM cuSTARFM Public

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

    Cuda 68 35

  3. cuESTARFM cuESTARFM Public

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

    Cuda 55 25

  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…

    46 13

  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++ 33 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…

    27 9

Repositories

Showing 10 of 21 repositories
  • MSTSFF-multiple-air-pollutants-prediction Public
    HPSCIL/MSTSFF-multiple-air-pollutants-prediction’s past year of commit activity
    Python 0 0 0 0 Updated Dec 23, 2024
  • ASTS Public

    Adaptive-Spatiotemporal-Sampling

    HPSCIL/ASTS’s past year of commit activity
    R 0 0 0 0 Updated Aug 26, 2024
  • MSTGAN-airquality-prediction Public

    MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and local multi-scale information of air quality spatiotemporal sequences. It incorporates an attention-based dynamic graph modeling approach to capture global spatiotemporal dependencies.

    HPSCIL/MSTGAN-airquality-prediction’s past year of commit activity
    Python 14 1 1 0 Updated Jul 13, 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.

    HPSCIL/Patch-generating_Land_Use_Simulation_Model’s past year of commit activity
    134 45 3 0 Updated Jul 12, 2024
  • mcMCCA Public
    HPSCIL/mcMCCA’s past year of commit activity
    Shell 1 0 0 0 Updated Jun 21, 2024
  • 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.

    HPSCIL/Mixed_Cell_Cellullar_Automata’s past year of commit activity
    46 13 0 0 Updated Jun 17, 2024
  • 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.

    HPSCIL/rupMC’s past year of commit activity
    C 1 0 0 0 Updated Apr 17, 2024
  • mcPLUS Public
    HPSCIL/mcPLUS’s past year of commit activity
    Shell 2 0 0 0 Updated Apr 10, 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…

    HPSCIL/cuFSDAF’s past year of commit activity
    C++ 33 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

    HPSCIL/CSD-RkNN’s past year of commit activity
    Python 3 MIT 1 0 0 Updated Aug 11, 2023
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