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Geographic Information Systems (GIS)

This collection is dedicated to projects that use geographic data to reveal spatial patterns and insights. It demonstrates Allison's skills in using ArcGIS and geospatial tools to visualize data on a map. From mapping locations to analyzing geographic trends, these projects showcase the ability to create compelling visual stories with a spatial component.

Tools

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Manhattan Food Bank Optimization.png

This project analyzes the optimal locations for establishing new food banks across Manhattan, using population density, existing food bank sites, and public transit access as key factors.

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Housing Density in Mexico (1990).png

A national thematic map showing housing density (persons per housing unit), with capital cities, rivers, and lakes for context in 1990 Mexico.

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Asian Population in Orange County.png

A percentage-based thematic map highlighting where Asian communities are concentrated within Orange County, FL. 

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Wetlands Assessment.png

An environmental constraints map delineating wetlands in and around a proposed factory site, with labeled observation points for rapid field-to-map traceability.

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Population Density of the Contiguous United States (1999).png

A choropleth map classifying population density across the contiguous U.S. into five intuitive ranges, layered to reveal regional settlement patterns.

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Preferred Roadway Alternative.png

A site-scale map illustrating the preferred roadway alignment in an alternatives analysis, designed for decision-maker review. 

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Relevant Coursework

GIS 3043C

GIS for Environmental Studies

PCB 3044 

Principles of Ecology

GLY 1030

Geology and its Applications

EGN 1007C

Engineering Concepts and Methods

GEO 1200

Physical Geography

EGS 1006C

Introduction to the Engineering Profession

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Certifications

Through Esri’s Basics of Map Projections course, Allison deepened her knowledge of cartographic principles that underpin modern GIS work. By exploring how projections shape the accuracy and interpretation of maps, she expanded her skills in transforming raw geographic data into clear, reliable visual narratives.

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