Open Access. Powered by Scholars. Published by Universities.®
Geographic Information Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
Articles 1 - 2 of 2
Full-Text Articles in Geographic Information Sciences
Quantifying The Impact Of Remapping Floodplains On Residential Property Values In Snohomish County, Washington: A Hedonic Approach, Carson Joseph Risner
Quantifying The Impact Of Remapping Floodplains On Residential Property Values In Snohomish County, Washington: A Hedonic Approach, Carson Joseph Risner
All Master's Theses
Flood events are the most common and costly natural disasters. The Federal Emergency Management Agency (FEMA) quantifies flood risks in the form of Flood Insurance Rate Maps (FIRMS). These FIRMS delineate flood risks and are used to set flood insurance premiums. Changes in land use, the augmentation of the natural environment, is threatening the validity of the Nation’s FIRMS. Therefore, Congress has approved remapping programs to update these FIRMs ensuring that current flood risks are known. This remapping presents another issue, specifically for properties that are remapped into a flood zone. Current literature suggests that properties within flood zones are …
Evaluating The Spatial Trends And Statistical Determinants Of Residential Solar Uptake In Washington State, Caleb Michael Valko
Evaluating The Spatial Trends And Statistical Determinants Of Residential Solar Uptake In Washington State, Caleb Michael Valko
All Master's Theses
Washington State’s Clean Energy Transformation Act and other state and federal policies encouraging solar power make Washington a ripe candidate to examine growth, trends, and potential determinants or barriers to residential solar uptake. In this thesis, residential solar is cumulatively and annually mapped by county (2000-2019) and Census tract (2017-2019) across the state to identify trends over time and space. Each variable (income, age, households, race, education, solar insolation, cost of solar per watt) was isolated individually to analyze the relationship (if any) to the dependent variable (i.e., residential solar installations). The covariates are then combined into a multiple regression …