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ca-pop-dens.html
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<!DOCTYPE html>
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<meta name="author" content="Sergey Pozhilov (GetTemplate.com)">
<title>CA Populatin Density - GIS</title>
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<span class="title">Mark David Barranda</span>
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<h1 class="page-title">California Cities - Population Density</h1>
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<p>I conducted a spatial autocorrelation analysis to examine the clustering patterns of population density across cities in California. Using <strong>ArcGIS Pro</strong>, I applied <strong>Moran’s I</strong> to investigate whether high or low population densities were randomly distributed or clustered in specific regions.</p>
<p>The analysis began by importing California city-level population data and calculating population densities for each city. I then ran the <strong>Global Moran’s I</strong> tool to determine if there was any overall spatial autocorrelation, revealing whether cities with similar population densities tended to cluster together. The results showed significant spatial clustering, with high-density cities forming clusters around urban areas like Los Angeles, San Francisco, and San Diego.</p>
<p>This spatial autocorrelation allowed me to explore how population density is distributed spatially and how urban centers like LA and San Francisco have clusters of high-density populations surrounded by areas with lower densities. The analysis provided deeper insights into urbanization trends and settlement patterns.</p>
<p>Through this project, I gained proficiency in spatial autocorrelation tools and further developed my ability to analyze spatial relationships, making it a valuable addition to my understanding of geographic patterns in population data.</p>
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