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 NotebookSpatial Data Exploration and Visualization on Google Colab
This notebook conducts spatial data exploration using geopandas and generates interactive map using bokeh This is a case study for demonstrating Wisconsin Voting in 2016 Presidential ...
Rapidly Measuring Spatial Accessibility of COVID-19 Healthcare Resources: A Case Study of Illinois, USA.
This aims to measure spatial access for people to hospitals in Illinois The spatial accessibility is measured by the use of an enhanced two-step floating catchment area (E2FCA) method, which is an outcome of interactions between demands (ie, # of potential patients; people) and supply (ie, # of beds or physicians) As a result, the map of spatial accessibility will be produced It identifies which ...
Hydrological Streamline Detection with CyberGIS-Jupyter Using Deep Learning
Surface water is an irreplaceable strategic resource for human survival and social development The accurate delineation of hydrological streamlines is critically important in various scientific disciplines, such as the assessment of present and future water resources, climate models, agriculture suitability, river dynamics, wetland inventory, watershed analysis, surface water survey and ...
Spatial Correlation Analytics Between Population and COVID-19 Confirmed Cases in New York State
This jupyter notebook demonstrates spatial correlation analytics between population and CVOID-19 Confirmed cases in New York State We are using New York State, the US as our study area And this notebook uses geospatial libraries to show the spatial distribution of population data, COVID confirmed cases, daily increases during the past week in New York State, and show the results for the spatial ...
COVID-19 Choropleth Maps
In this notebook, we are doing a simple visualization creating Choropleth Maps at the county level For this example, we are using data released by Johns Hopkins University (https://githubcom/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports) for March 30, 2020, and the US county dataset (https://wwwarcgiscom/home/itemhtmlid=a00d6b6149b34ed3b833e10fb72ef47b) This ...
A Reproducible and Replicable Spatially Explicit Agent-Based Model Using CyberGIS-Jupyter: A Case Study in Queen Anne Neighborhood, Seattle, WA
This notebook walks through how to acquire the necessary geospatial, health, and sociological data required to create a spatially-explicit agent-based model of influenza spread Using the Queen-Anne neighborhood as an example, we walk though synthesizing a population from geospatial and sociological data using Pattern-Oriented Modeling (POM) and simulating the spread of influenza using the SEIR ...
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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