Utilizing Geographic Weighted Regression to Examine 911 Calls and Hospitals in the U.S.
Project Description:
This project was accomplished alongside other BS GIS students at Arid University: Waleed, Rana & Afsheen. The 911 Analysis was completed as my part of the assignment project in Geo-Statistics. Other members worked on different locations and used varying methodologies.
Research Question:
How do localized socio-demographic factors influence the spatial distribution of 911 emergency calls?
Introduction:
The increasing reliance on emergency services, notably reflected in the frequency and nature of 911 calls,
underscores the critical need to understand the spatial dynamics and underlying factors contributing to emergency incidents.
Geographic variations in socio-demographic, environmental, and infrastructural elements often play a pivotal role in shaping the distribution and intensity of 911 calls within diverse geographic regions.
This study employs Geographic Weighted Regression (GWR) within the ArcGIS framework to delve into the intricate spatial relationships between various factors and the patterns of 911 emergency calls.