I-GUIDE Platform

Integrative Discovery Starts Here!

Modeling the relationship between urban tree canopy, land cover, and land surface temperature

This exercise shows how to apply Machine Learning Models to explore the relationship between urban tree canopy, land cover, and land surface temperature. It lays out an initial modeling approach that combines exploratory data analysis with KNN regression and decision tree models to better understand the patterns of the data and for prediction purposes in the R environment.

Open Notebook
Mapping Transit-induced Gentrification

This exercise shows how to use Census API to get data from the Census Bureau website and explore demographic changes over time near transit stops to identify areas which might be experiencing transit-induced gentrification.

Open Notebook
Summer School 23 – Image segmentation by foundation model finetuning

The main focus of this work is to gain practical experience in applying deep learning techniques to real-world spatial problems, at the cutting edge of GeoAI.

Open Notebook
Summer School 23 – Investigating Hydrological Responses and Shrinkage Patterns of the Great Salt Lake: A Comparative Analysis of Modeled and Observed Data

Over the last decade, the Great Salt Lake has experienced a significant loss of water due to a combination of climate and anthropogenic changes. This workflow evaluates the effectiveness of the National Water Model’s retrospective simulations in capturing changes in inflows to this terminal lake.

Open Notebook
Summer School 23 – Spatio-temporal dynamics of a metacoupled world

This work focuses on big data processing, network modeling, and geovisualization with R. Using circos maps and community detection algorithms, this workflow analyzes changes in global trade dynamics due to natural and social disturbances, contributing to sustainability fields.

Open Notebook
Summer School 23 – Characterizing the spatiotemporal changes of wildland urban interface in the United States

Using Google Earth Engine, this group mapped and analyzed the changing extent of the wildland-urban interface from 2011-present across the continental US and characterized risk and socioeconomic factors using NASA SEDAC’s Social Vulnerability Index and LANDFIRE’s Wildfire Risk to Communities data to evaluate areas at greatest risk to wildfire.

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Summer School 23 – Margins of Adaptation to Human Heat Stress: Local, National, and Global Socioeconomic Responses

With a grid-resolving economic model (SIMPLE-G), this group simulated how heat stress affects labor productivity in the agricultural sector and generates cascading impacts on farming for the continental US at fine spatial scales.

Open Notebook
Transfer Learning for Semantics Image Segmentation

Explore the application of the Segmentation Models Library for streamline delineation in this hands-on Jupyter notebook. Fine-tune pre-trained models like UNet, LinkNet, PSPNet, and FPN to achieve accurate streamlines segmentation.

Open Notebook
Accessing and utilizing IPUMS NHGIS Data using Python API

This notebook demonstrates uses and functionality of the API interface provided by IPUMS for NHGIS to access and request data in a reproducible and documentable Python workflow.

Open Notebook
Visualization of data in a THREDDS server on I-GUIDE Platform

A demonstration of how to access, subset, and visualize Analysis of Record for Calibration (AORC) forcing data that is stored in HydroShare’s THREDDS catalog

Open Notebook
Who is facing the risk of potential dam failures?

This study proposes a framework employing spatial metrics (Bivariate Moran’s I and LISA) to discover where and whether socially vulnerable populations are more exposed to flood inundation risks induced by dam failures. This notebook, in particular, demonstrates the socioeconomic characteristics of at-risk populations, focusing on 345 dams in the conterminous United States.

Open Notebook
Community Hydrological Model support on I-GUIDE platform

WRFHydro is a leading-edge, open-source community hydrometeorological and hydrologic modelling system developed by NCAR. The I-GUIDE platform integrates various state-of-the-art cyberinfrastructure (CI) capabilities to support Community Hydrological Modelling. It is the code base for the NOAA National Water Model (NWM).

Open Notebook