Yilin Yao Final Project GEOG 258

Housing Price and Population

This map visualizes the relationship between housing prices and population distribution across U.S. counties Darker regions represent areas with higher housing prices, while population density is reflected in the color variations of the counties.

Housing Price and Median Income

This map illustrates the relationship between housing prices and median income across different U.S. counties Darker regions indicate higher housing prices, while variations in county colors reflect differences in income levels.

Housing Price, Stations, and Median Income

This map presents the spatial relationship between housing prices, transportation stations, and median income across U.S. counties. Areas with higher housing prices and median incomes are visually distinguishable, while the heatmap highlights the density of transportation stations.

Housing Price, Stations, and Population of One Races

This map illustrates the correlation between housing prices, transportation stations, and the population of individuals identifying as one race across the United States. The heatmap highlights areas with a higher density of transportation stations, while the county colors reflect variations in housing prices.

Housing Price, Stations, and Population of Two or More Races

This map visualizes the relationship between housing prices, transportation stations, and the population of two or more races across the United States. Darker regions indicate higher housing prices, while red heatmaps represent the density of transportation stations.

Housing Price, Stations, and Population of One Races

Housing Price, Stations, and Population of Two or More Races

The distribution of transportation stations remains similar in both maps, but the population composition differs, influencing the regional demographic characteristics. Areas with a higher population of two or more races appear to have denser station clusters in urban regions, while regions with predominantly one race show a more even distribution across counties.

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By Yilin Yao