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 NotebookGeoreferencing with ESRI ArcMap Instructions
This notebook contains instructions for how to georeference an image These instructions are intended for those who have access to ESRI ...
Creating A Shapefile with ESRI ArcMap Instructions
This notebook contains instructions for how to create a shapefile These instructions are intended for those who have access to ESRI ArcMap Note: this notebook is intended to be run after working through the companion georeferencing ...
Accessing UIUC AnyWare
This notebook contains instructions for how to access UIUC AnyWare, a UIUC remote desktop service These instructions are intended to support geographic work using ESRI ArcGIS software It will demonstrate accessing the service and transferring ...
How to Use iPython Widgets in A Jupyter Notebook
This notebook introduces iPython widgets and demonstrates simple ways to use them Note! The widgets do not display in the HTML Preview - open the notebook with CyberGISX to view the ...
Geographically Weighted Regression Demo Notebook
This notebook demonstrates how to preform Geographically Weighted Regression using the MGWR Python package using sample code included in Oshan et al 2019 MGWR: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale ISPRS Int J Geo-Inf 2019, 8(6), 269; ...
CIGI Lab Template Notebook
This is a template Jupyter Notebook to be used as a guide for making new Notebooks in the CIGI Lab ...
Blog Posts
New Blog Post
Reflections on the Geospatial Fellowship program
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Story Map on COVID-19 Research
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Bottom-up approach to epidemic modeling and access to high-performance computing infrastructure
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Middlebury College Students Reproduce and Replicate COVID-19 Health Care Resource Accessibility Study
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Age and Morbidity Trends related to COVID-19
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Presentation: Working with Students to Reproduce COVID-19 Research to Establish the Credibility of Findings and Accelerate Policymaker Adoption
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