Past Work

Houston We Have an (Air) Problem

Pollution in Houston, Texas has been a continuous problem. While this pollution cannot be changed quickly, it is important to focus on the areas that are primarily impacted by emission rates. By using values related to toxicity and pollution rates, this research topic seeks to observe the exposure of toxic substances in marginalized communities and low-income regions. By using ArcGIS and RScript, our research concludes that there is a significant overlap between these two socioeconomic factors and pollution source locations, especially when it relates to median household income. Using this information, researchers can begin to focus in on the zip code regions that have higher risk to toxic substances and use preventative measures to protect populations that struggle to protect themselves

Zip Codes

With the use of Arc GIS Pro, I was able to create a map by overlaying the Zip codes of Harris County, TX over a satalite imagry map to start this process of analysis.

Median Housing Cost

Once the zip codes of this county were established, I used a U.S. Census Bureau table to calculate and analyze the Median Housing Cost for all of Harris County.

Toxic location sites

Emissions locations are presented in point data and have been added as a layer to the Median Housing Cost map to show the density of locations across the county. The dencest of all emmission sites are generally located within low Median Housing Cost areas.

Heat map of toxic emissions

This map identifies the High and Low emission rates based on the RESI scores calculated by linking the score specifically to each point of emissions. once this is completed the heat index proves were the dencity of sites increas so to does the toxic emissions.

Racial Demographic

Lastly, the Racial demographic of Harris County is shown here. This is extreemely important when analyzing the locations and getting a larger picture of environmental injustice in the Harris county area.

Conclusion

This study highlights the interconnected nature of environmental and socioeconomic issues in Harris county, Texas. Addressing these disparities requires targeted policy interventions aimed at improving air quality and promoting equitable urban development. Future work could expand on these findings by incorporating additional variables such as health outcomes and long-term economic trends. By developing this analysis, researchers can go on to focus on the areas with high hazard rates that overlap with low income and high percentage of a not white population. We can then ensure these populations get the attention they deserve and create preventative measures to reduce long term damage from the toxic exposures. If this study were to be conducted again, we would focus intensively on the neighborhood level rather than zip codes to curate a better understanding of race and income dispersion throughout Houston, Texas.

Job to Job Flow Analysis

In recent years, the analysis of job flows has become increasingly relevant for understanding regional labor market dynamics and economic health. This study examines job inflows and outflows in California across different industries from 2019 to 2021, capturing the impact of economic conditions, including the COVID-19 pandemic, on interstate labor mobility. By combining U.S. Census data with job flow statistics categorized by North American Industry Classification System (NAICS) sectors, this analysis seeks to identify patterns in job migration to and from California, focusing on the industries and states most affected by these trends. Visualizations are employed to illustrate these job flows, along with economic factors like unemployment rates and poverty levels to contextualize the labor shifts.

Below are two maps signifying the movement of Job Flows away from the state of California to other states in the years of 2019 and 2021. These are signicant years to analyze because of the Covid-19 Pandemic. We clearly see movement out of California regardless of the year, though after the pandemic the movement slows slightly. By using R-studios i was able to analyze data and creat visualizatons to represent this analysis.

Next is an analysis of the Job "Inflow" to California compared against the Unemployment rates of all states within the United States of America.

This analysis highlights the dynamics of California’s job inflows and outflows across three distinct economic periods, emphasizing sectoral resilience and vulnerability during economic shocks. The study’s maps and visualizations reveal how California's labor market responds to broader national economic patterns, with technology, healthcare, and essential services remaining critical inflow sectors across volatile years. The findings underscore California's role as a labor magnet in high-value sectors but also its susceptibility to downturns in sectors heavily impacted by health and economic crises.

Crime Analysis - Chicago, IL vs Los Angeles, CA

This project is designed to give the viewer a basic visualization of crime types and analytics based on the Top 5 Crime Types and Rates across Los Angeles, CA and Chicago, Illinois between the years of 2020 – 2024. Through this analysis, the viewer will leave with a better understanding of crime numbers and a mild description of their locations based on the point maps provided.

To the right you will see a heatmap graph to show the concentration of each Top 5 Crime Types. Each graph shows more than 5 crime types due to the connected nature of the crime such as “Theft” vs “Burglary” and “Assault” vs “Battery”.

The maps bellow show the density and location of these crime types based on the year the incident occurred.

Chicago, IL 2024

Left you will see the a map filled with point data that signifies the Top 5 crime types with in the city of Chicago. Though this color palate needs to be cleaned, the analysis of crime and density is still very visable.

Los Angeles, CA

Left you will see the a map filled with point data that signifies the Top 5 crime types with in the city of Los Angeles, CA. Again, this color palate needs to be cleaned, the analysis of crime and density is still very visable.

Top 5 Crime Types

Los Angeles, CA: Theft of Vehicles, to Persons, and Property, Assault and/or Battery, and Vandalism.

Chicago, IL: Theft as a General Crime against Persons and Property, Theft of Motor Vehicles, Criminal Damage, and Assault and Battery

Over the span of 2020 – 2024, these crime rates have changed in frequency and density across the cities analyzed. The nature of these changes will be added to further investigation and analysis to provide further and a more in-depth view into the criminal economy of Los Angeles, CA and Chicago, IL.

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