GIS @ UCSB
In the summer of 2020 I took a class GIS course based in R. I wrote some code, and did some cool data science. Here is a collection of links!
Tracking COVID-19 Data
Parsed real-world data using
functions and plotted using
Used statistical methods for analyzing confirmed COVID-19 cases.
Analyzed COVID-19’s weighted mean center travel across the United States.
Analyzing Spatial Data in the US
Gathered spatial data about US cities and their relation to national borders using
to visualize spatial data, and
to calculate distances.
Analyzed controversial Federal Agencies’ claims based on an
to verify statistics given.
Point-in-Polygon Analysis with Tessellations
Generated and analyzed
tessellated spatial datasets
, such as:
analysis using US Dams dataset from US Army Corps of Engineers.
interactive map to analyze dams at risk for floods along the Mississippi river system.
Flood Analysis using Remote Sensing
and computed band combinations for surface water features.
Utilized statistical methods, namely
to highlight potential flood areas.
Applied flood data to visually identify at-risk areas using
Flood Risk in Mission Creek: Past, Present, Future
Pulled data from the
to assess the
of buildings near a river system.
to create a
Height Above Nearest Drainage
raster for a specific
Flood Inudation Map Library
to observe flood impact on surrounding buildings.