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Social and Behavioral Sciences Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Social and Behavioral Sciences
A Gis Analysis To Identify Historical, Contemporary, And Spatial Housing Discrimination In Denver, Colorado, Ian Sharkey
A Gis Analysis To Identify Historical, Contemporary, And Spatial Housing Discrimination In Denver, Colorado, Ian Sharkey
Geography and the Environment: Graduate Student Capstones
This study analyzes the relationship between housing discrimination and equity within the City of Denver. This study creates a discrimination index by combining (1) historical Discrimination, (2) contemporary segregation, and (3) housing inequity data into an index to compare the Denver Department of Health and the Environment (DDPHE) 2020 equity index using a local bivariate analysis. This study found a negative linear relationship between the created and Denver equity indexes. The variables used for the discrimination index can explain some of the relationships, but future studies should use more variables for a discrimination index.
Using Gis To Identify Barriers To Access On The Rtd W Line In Denver, Colorado, Tristan Johnson
Using Gis To Identify Barriers To Access On The Rtd W Line In Denver, Colorado, Tristan Johnson
Geography and the Environment: Graduate Student Capstones
Denver, Colorado has a long history of public transportation usage beginning with horse-drawn streetcars in 1871. As the automobile began to flourish however, the use of public transportation has languished. In 2013, the W light rail line opened serving the West Denver area. As Denver has moved toward a more transit-oriented growth model, this rail line can create a more vibrant future. Using GIS, a better understanding of the barriers to access for light rail travel is obtained and considering key variables outputs are created to assist policy makers in utilizing the W line. By using GIS to address population …
Modeling Vegetation Cover At Mount St Helens Using Highly Correlated Vegetation Indices, Sara Livingston
Modeling Vegetation Cover At Mount St Helens Using Highly Correlated Vegetation Indices, Sara Livingston
Geography and the Environment: Graduate Student Capstones
The eruption of Mount St. Helens in 1980 devastated the landscape and obliterated all ground vegetation within a 620 km2 blast zone radius. The destructive forces of the lateral blast, debris avalanche, tephra plume, and lahar flow created a complex mosaic of disturbance zones, that subsequently yielded various rates of landscape recovery. Remote sensing is an efficient method for monitoring landscape-scale changes by recording the distinct spectral reflectance of vegetation. Based on statistically significant correlations between Vegetation Indices and vegetation parameters, an empirical model can be developed for vegetation cover predictions. This capstone analysis found that NDVI holds the strongest …
Analyzing The Production And Use Of Fossil Fuels: A Case For Data Mining And Gis, Alejandro Conde
Analyzing The Production And Use Of Fossil Fuels: A Case For Data Mining And Gis, Alejandro Conde
Geography and the Environment: Graduate Student Capstones
As technology progresses and data grows both larger and more complex, techniques are being developed to keep up with the exponential growth of information. The term “data mining” is a blanket term used to describe an approach to find anomalies and correlations in a large dataset. This approach involves leveraging data mining software to manipulate and prepare data, apply statistics to quantify trends and characteristics in the data from a high level, and potentially apply advanced techniques like machine learning to identify patterns that wouldn’t be apparent otherwise. In this case study, data mining aided a GIS in displaying substantial …
Pathways Forward For Onshore Wind Energy In The State Of Maryland: A Gis Multi-Criteria Analysis, George Pisano
Pathways Forward For Onshore Wind Energy In The State Of Maryland: A Gis Multi-Criteria Analysis, George Pisano
Geography and the Environment: Graduate Student Capstones
This study examines pathways forward for onshore wind energy in the State of Maryland. To meet its decarbonization goals, Maryland needs to quickly transition its electric grid away from fossil fuels. The state is currently in the process of developing offshore wind farms that have the potential to represent a significant source of renewable energy. However little progress has been made in expanding Maryland’s onshore wind energy production capacity. Using a multi-criteria GIS analysis, this study found that there is a limited but not inconsiderable area in the state that could be suitable for wind farms of varying scales that …