Comparative Analysis of Precipitation and Population data in Arizona Using ArcGIS Pro and QGIS

Autumn Horvat
ahorvat@arizona.edu
Presentation Time: Fri, 12/06/2024 - 10:30
Keywords: Precipitation Analysis, Population Analysis, Census Data, ArcGIS Pro, QGIS, Geospatial Analysis.

Abstract

This project assesses the efficacy of ArcGIS Pro and QGIS for conducting geospatial analysis utilizing precipitation, temperature, and census data across Arizona. The primary data sources are annual precipitation data from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) and U.S. Census population data from the United States Census Bureau from 2010 to 2020. Temperature and precipitation data were analyzed in both ArcGIS Pro and QGIS to showcase rainfall and temperature distribution across Arizona’s census tracts. Population density was calculated and normalized in each platform to evaluate each platform’s capability and usability. Both platforms’ geoprocessing tools uncover spatial trends throughout the state. A series of tables and maps were created to display these results. The results highlight the strengths and shortcomings of ArcGIS Pro and QGIS in managing large datasets containing demographic and environmental data. This project offers insight into ArcGIS Pro and QGIS proficiency for similar geospatial analyses.