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CyberGISX content includes geospatial codes, workflows with comments, and visualizations providing a solid foundation for conducting computationally reproducible research and education.


149 Results
Getting Started with CyberGISX (AAG2023)

Posted by Jinwoo Park on Monday March 20, 2023

Author(s): Jinwoo Park

This notebook will walk you through some basic techniques for spatial analysis and visualization in the CyberGIS-Jupyter environment We will use CDC county-level Social Vulnerability Index (SVI) data ...

Geospatial analysis of clinical trial sites in the USA: Exploring Demographics and Vulnerabilities

Posted by Priyadarshini Satish on Friday March 10, 2023

Author(s): Priyadarshini Satish

In the medical and pharmaceutical industry, selection of sites for clinical trials is a critical task that involves analyzing proprietary information about demographics, geography, economy, and ...

Hands-on Exercises using PySAL Map Classify

Posted by Su Yeon on Wednesday March 8, 2023

Author(s): Su Yeon Han

In this notebook, you will learn how to create choropleth maps using different classification methods available in the mapclassify package of the Python Spatial Analysis Library (PySAL) The ...

CyberGIS-Compute with Three Examples

Posted by Alexander Michels on Tuesday March 7, 2023

Author(s): Alexander Michels, CyberGIS-Compute Team

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 ...

Introduction to OpenStreetMap (OSM) Network Data

Posted by Alexander Michels on Monday January 30, 2023

Author(s): Alexander Michels

This Notebook is meant to be a brief guide on working with Open Street Map (OSM) network data, primarily using the OSMnx Python package It walks through obtaining network data from OSMnx, exploring ...

Vulnerable Neighborhood Explorer

Posted by Su Yeon on Monday December 26, 2022

Author(s): Su Yeon Han, Jeon-Young Kang, Fangzheng Lyu, Furqan Baig, Jinwoo Park, Shaowen Wang

Effective disaster management strategies require timely identification of disaster-prone neighborhoods and an examination of disparities in disaster exposure Such efforts are essential for ...

Crimes in Chicago

Posted by Wei Hu on Tuesday December 13, 2022

Author(s): Wei

This work aims to uncover spatial and temporal crime patterns in Chicago The study of spatial and temporal crime patterns is essential since it helps advance academic understanding of criminal ...

Applications of Machine Learning in Geospatial Studies

Posted by Admin CyberGISX on Monday December 12, 2022

Machine learning is a subset of artificial intelligence that focuses on algorithms that can learn and improve from data without being explicitly programmed In the geospatial field, machine learning ...

Fine-scale Urban Heat Dynamic

Posted by Fangzheng Lyu on Tuesday December 6, 2022

Who is complaining about extreme hot weather How to monitor and avoid extreme heat in a real-time What is the spatial distribution of urban heat island We investigate the urban heat problem ...