CyberGIS-Compute Showcase

CyberGIS-Compute is an open-sourced geospatial middleware framework that provides integrated access to high-performance computing (HPC) resources through a Python-based SDK and core middleware services. The key components of CyberGIS-Compute include CyberGIS-Compute SDK and CyberGIS-Compute Core. CyberGIS-Compute is released under Apache 2.0 license.

10 notebook results cybergis-compute
CyberGIS-Compute Workshop (AAG 2023)

Posted by Alexander Michels on Monday March 20, 2023

Hands-on workshop introducing CyberGIS-Compute The materials cover running models in the SDK and developing your own simple models Developed and used for the AAG 2023 Symposium on Harnessing the ...

CyberGIS-Compute with Three Examples

Posted by Alexander Michels on Tuesday March 7, 2023

This notebook was presented as part of an I-GUIDE VCO, check out the video: https://iguideillinoisedu/i-guide-vco/i-guide-vco-cybergis-compute-part-2/ We highly recommend following the guide in the ...

Calculating Accessibility to Ventilators in Illinois with CyberGIS-Compute

Posted by Alexander Michels on Tuesday July 19, 2022

This notebook briefly walks through calculating spatial accessibility to hospital ventilators in across the state of Illinois using CyberGIS-Compute It calculates travel-time catchments using ...

Pysal Access Compute Example

Posted by Alexander Michels on Thursday June 30, 2022

The IntroToCyberGIS-Computeipynb notebook walks through the basics of CyberGIS-Compute: running models focused on spatial accessibility and exploring the anatomy of a CyberGIS-Compute job We do this ...

Retrieve a large number of model outputs using Globus within CyberGIS-Compute

Posted by Zhiyu Li on Wednesday September 1, 2021

This notebook demonstrates how to use Globus within CyberGIS-Compute to retrieve a large number of outputs generated by a model executed on HPC, which is often needed for postprocessing work ...

Modeling CAMELS Basins with SUMMA on CyberGIS-Jupyter for Water (CJW)

Posted by Zhiyu Li on Monday August 30, 2021

CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) is a large-sample hydrometeorological dataset that provides catchment attributes, forcings and GIS data for 671 small- to ...

Run National Water Model (WRFHydro) on HPC through CyberGIS-Compute Service

Posted by Zhiyu Li on Monday August 30, 2021

The goal of this notebook is to show the steps to run an example National Water Model (WRFhydro) model on HPC resources through the CyberGIS-Compute Service This notebook uses wrfhydropy, a Python ...

Run ensemble SUMMA 3.0 model on HPC with CyberGIS-Compute Service on CJW

Posted by Zhiyu Li on Monday August 30, 2021

This example is to show the steps to run an ensemble SUMMA30 on HPC through the CyberGIS-Compute ...

Run Ensemble RHESSys models on HPC through CyberGIS Computing Service on CyberGIS-Jupyter for Water (CJW)

Posted by Zhiyu Li on Monday August 30, 2021

RHESSys (Regional Hydro-Ecological Simulation System) is a GIS-based, terrestrial ecohydrologic modeling framework designed to simulate carbon, water and nutrient fluxes at the watershed scale ...

CyberGIS-Compute FireABM Monte Carlo Notebook

Posted by Rebecca (Becky) Vandewalle on Monday August 16, 2021

This notebook provides an example of running a Monte Carlo style computation using CyberGIS-Compute CyberGIS-Compute is service for running High Performance Computing (HPC) jobs from a Jupyter ...