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 NotebookCyberGIS-Compute FireABM Monte Carlo Notebook
This notebook provides an example of running a Monte Carlo style computation using CyberGIS-Compute CyberGIS-Compute is service for running High Performance Computing (HPC) jobs from a Jupyter Notebook within CyberGISX In this example, the FireABM simulation script is run twice, each separately using two different tasks This small example demonstrates how to run a serial script with no in-built ...
Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics
This Jupyter notebook illustrates a quadtree-based algorithm to establish the image regions with high vehicle detection accuracy A case study is presented to demonstrate how the use of these high accuracy regions can produce reliable road traffic metrics from traffic camera ...
CyberGIS-Compute Tutorial
This notebook will demonstrate how to use ...
Geographically Weighted Regression (Part I): COVID 19 Incidence
This notebook provides the code for running a Geographically Weighted Regression (GWR) using COVID-19 incidence rates as the dependent variable and independent variables representing age and underlying conditions It is an exploratory analysis of spatial relationships between COVID-19, age demographics, and comorbidities It is not recommended for predictive ...
Geographically Weighted Regression (Part II): COVID 19 Mortality
This notebook provides the code for running a Geographically Weighted Regression (GWR) using COVID-19 death-case ratios as the dependent variable and independent variables representing age and underlying conditions It is an exploratory analysis of spatial relationships between COVID-19, age demographics, and comorbidities It is not recommended for predictive ...
Interactive Mapping using Python and Bokeh
This notebook demonstrates how to create interactive maps using the bokeh library ...
Blog Posts
New Blog Post
How would social distancing change the COVID-19 curve of community spread?
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COVID-19 and People with Disabilities
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Mapping Human Mobility OD Flow Changes in the US during the COVID19 pandemic
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COVID-19 Incidence and Mortality maps
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