I-GUIDE Platform Release Notes

Version 0.2 (April 2024)

We are pleased to announce the release version 0.2 of the I-GUIDE Platform. The I-GUIDE Platform is an open online platform that provides streamlined and user-friendly access to advanced cyberinfrastructure and cyberGIS capabilities with an integrated software stack for computationally reproducible and data-intensive convergence research and education. 

The I-GUIDE Platform has been developed by a multi-institutional team of professionals and researchers specializing in advanced cyberinfrastructure and geospatial data science. The team is part of the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE, https://i-guide.io/) supported by the National Science Foundation.

 The I-GUIDE Platform enables users to discover resources and execute interactive workflows implemented as Jupyter notebooks. Users from various academic institutions can immediately login and start using the I-GUIDE Platform with their institutional credentials. 

This release of the I-GUIDE Platform includes updates in the following major components.

I-GUIDE Platform Gateway

  • Improved user environment and interface design
  • Link to platform working/availability status on the main user interface

I-GUIDE JupyterHub

  • New container images
  • A new Geospatial AI Jupyter kernel is available on the platform for NLP applications. The kernel includes commonly used libraries and models such as PyTorch, Natural Language Toolkit, spaCy, and HuggingFace Transformers.

I-GUIDE Resource Catalog

  • User interface updates, including an enhanced resource landing page
  • Initial ability to register resources stored in S3 
  • S3 data registration example
  • Vue 2 to Vue 3 update for the catalog user interface

I-GUIDE Convergence Science Notebooks

A set of reproducible notebooks showcasing research being carried out by the I-GUIDE convergence science team including for example:

  • Estimating the contribution of global drivers in future stress on water resources as estimated by the SIMPLE-G model
  • Image segmentation by foundation model fine-tuning 
  • Detecting hydrological responses and shrinkage patterns of the Great Salt Lake
  • Exploring spatio-temporal dynamics of a meta-coupled world
  • Characterizing the spatiotemporal changes of wildland urban interface in the United States using Google Earth Engine API
  • Assessing margins of adaptation to human heat stress: local, national, and global socioeconomic responses
  • Examining effects of transit-induced gentrification using US census API
  • Modeling the relationship between urban tree canopy, land cover, and land surface temperature


How to report bugs or issues?

Go to I-GUIDE Platform Notebook Showcase page at https:/i-guide.io//platform/discovery/. Scroll all the way down and you will see a red button on the bottom right corner that says “Report issues”. It will lead to a Google Form for issue or bug reporting.

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