Content Discovery

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


143 Results
Introducing the Python 3-0.9.4 Kernel on CyberGISX

Posted by Alexander Michels on Tuesday July 25, 2023

Author(s): Alexander Michels

This is a short notebook introducing the new Python 3-094 kernel on CyberGISX with information on the new kernels and a reminder to save your current notebooks with the previous Python 3-090 ...

Introduction to Osmosis and OSMFilter

Posted by Alexander Michels on Wednesday July 19, 2023

Author(s): Alex Michels

This is a simple notebook walking through the usage of osmosis and OSMFilter for working with OpenStreetMap data We also employ OSMNX for loading and ...

Geospatial Knowledge Hypercube

Posted by Zhaonan Wang on Wednesday July 19, 2023

Author(s): Zhaonan Wang

Today a tremendous amount of geospatial knowledge is hidden in massive volumes of text data To facilitate flexible and powerful geospatial analysis and applications, we introduce a new architecture: ...

Spatial Relationships between Wastewater Treatment Plants and Oil Refineries across the Conterminous US

Posted by Jianan Feng on Saturday July 15, 2023

Author(s): Jianan Feng

This notebook is developed for GGIS 407 SU ...

ACES Workshop 2023: CyberGIS-Compute

Posted by Alexander Michels on Tuesday July 11, 2023

Author(s): Alexander Michels

A repo for our CyberGIS-Compute tutorial at the ACES 2023 ...

Array of Things – High-frequency Urban Sensors Analysis

Posted by Fangzheng Lyu on Monday June 26, 2023

Author(s): Fangzheng Lyu

This Jupyter notebook demonstrates the book chapter named Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics, including showing the locations for AoT sensors and the ...

Brief Intro to Lmod on CyberGISX

Posted by Alexander Michels on Tuesday June 20, 2023

Author(s): Alexander Michels

This notebook is a very brief explanation of what Lmod is and how to use it on ...

Intro to Uber Movement Data

Posted by Alexander Michels on Thursday June 8, 2023

Author(s): Alex Michels and Jinwoo Park

This notebook provides a brief overview of Uber Movement Data, demonstrates how to obtain and work with it, and illustrates a few examples of how to utilize the data for geospatial ...

Transfer Learning for Semantics Image Segmentation

Posted by Nattapon Jaroenchai on Tuesday May 16, 2023

Author(s): Nattapon Jaroenchai

This tutorial focused on transfer learning for image segmentation using the Segmentation Models Library We explored the benefits of transfer learning and introduced the Segmentation Models Library, ...