Leatherback Nest Loss Project GEOG 489
This project had two goals: 1) To determine whether Python could be used to calculate the number of leatherback (Dermochelys coriacea) sea turtle nests lost to tide-caused drowning each year, and 2) to determine whether a trend in the location of the tide lines could be detected, given the data at hand The study area for this project was Matura Beach, on the western coast of Trinidad (Trinidad and Tobago, West ...
Notebooks
New NotebookIntroduction to Python Programming
This is a brief introduction to the Python programming ...
Introduction to Developing with Jupyter Notebooks
This notebook introduces Jupyter Notebooks as a way to present code and analysis on CyberGISX The topic is covered in more depth compared to the Quick Start ...
Jupyter Notebooks: Quick Start
This is a quick intro to using Jupyter Notebooks within ...
Nobel Project Demo
This contains educational materials for a demo for the Nobel ...
Agent-based Land Market
Urban land markets exhibit complex emergent behaviors that have yet to be fully explained by the microeconomic decision-making which constitutes the market The Agent-based Land MArket (ALMA) framework has been introduced to simulate a bilateral agent-based land market that produces a rent gradient In this paper, we extend the ALMA framework by introducing two new parameters, heterogeneity, and ...
Spatial Interpolation
Spatial interpolation is used to predicts values for cells in a raster from a limited number of sample data points around it We are studying streaming high-frequency temperature data in Chicago retrieved from Array of Thing (AoT) Kriging is a family of estimators used to interpolate spatial data This family includes ordinary kriging, universal kriging, indicator kriging, co-kriging, and others ...
Blog Posts
New Blog Post
test blog
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Jupyter Notebooks Addressing Social Inequality and Health Disparities
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STEM Illinois Nobel Project: Unprecedented CyberGISX Access and the Land-Grant Mission
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Food Access During the COVID-19 Pandemic
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Developing a Disability Vulnerability Dashboard
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Building Effective Regions for COVID-19 Policy Administration (Or: How Our States Got Their Shapes)
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