Projects

Interactive

Where Do You Think DC Should Put Its Affordable Housing Dollars?

This interactive tool allows users to weigh the importance of five different indices related to the opportunity of one's neighborhood: jobs proximity, poverty, racial diversity, violent crime, and the cost to develop housing. The user can identify high-opportunity neighborhoods while also considering the cost of subsidizing housing there. Click here to see.

Raster Analysis

Emergency Call Boxes and Campus Safety on the UT Dallas Campus

Emergency call boxes boost safety by deterring crime and enabling rapid emergency response. UT Dallas should keep pace with campus construction and student body growth by installing new call boxes in strategic locations. This paper uses a viewshed analysis to propose the best places for UT Dallas to install future call boxes. Click here to see.

Remote Sensing

Population Estimation Using Remotely Sensed Data and Regression Analysis

This project won first prize at a university GIS poster competition (November 2016). It used a simple land cover classification to estimate the population of Midland County, Texas. It combined work in ERDAS Imagine, ArcMap, and R. Overall, a linear regression model estimated the population within 0.425% of the actual value, while a spatial autoregressive model underestimated the population by 1.939%. Click here for a PDF of the poster.

Data Analysis

Hotbeds of Hate: Modeling Bias Crime in U.S. Cities

When one studies racial and religious bias crime in the U.S., the differences between cities are stark: many cities report zero bias crimes, while a handful report hundreds each year. Why the disparity? This study employed a generalized estimating equation (GEE) model to make sense of the broad spatial and temporal differences in bias crime throughout 72 U.S. Combined Statistical Areas (CSAs) from 2006-2014.Click here for a PDF of the study.

Programming - Python

User-Driven Summary and Visualization of Urban Data

This project empowers users to access common-sense, credible, and easy-to-understand information about urban areas in the United States. Using Python programming and ArcGIS, the program generates choropleth maps, time series graphs, and basic statistical summaries on demand. All users have to do is input their geographical area and theme of interest. Click here for a PDF of the poster.

Maps

Writing

Where Should DC Put Its Affordable Housing Dollars?

Published in Greater Greater Washington. The neighborhood you call home has the potential to help your economic mobility and your health and well-being. That’s why it’s important to create more chances for families with low incomes to live in areas that are close to jobs and transit, with low poverty and crime, and high-performing schools.

Water Insecurity and Water Scarcity

The World Economic Forum Water Initiative predicts "a 40% shortfall between water demand and available freshwater supply by 2030." This is a survey of the forces increasing global water demand, future stakes, and approaches to development and conservation. View here.

Learning to Love Globalization: A Review

Why do people oppose international trade even when it benefits them, and vice versa? This paper analyzes trade opinions held by individuals throughout developed and developing nations. View here.

Sprawl City Bank Run

Published in the Baines Report, this is an application of the Twitter API to track consumer panic in the aftermath of Hurricane Harvey, 2017. View here.

Partisan Politics in Corporate Taxation: A Review

Perhaps unsurprisingly, policymakers tend to create corporate taxation policies in accordance with their party affiliation. View here.

Gulf Women at Work

The countries of the Arabian Gulf have the lowest women's labor force participation rate in the world. This paper explores the causes and suggests practices for improvement. View here.

Forty Years of Transformation

An investigation of urban development and cultural change in Oman and their impacts on women from 1974 to 2014. View here.

Contact

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