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A Spatial Analysis of Home Values in Los Angeles, California

Introduction

This is the public repository for homework 1 of SOC5670, Spatial Demography. Homework 1 asks us to perform an analysis on a city or metropolitan region of our choice, implementing different spatial statistical techniques to study a data set of our choosing. Data for this project was obtained from Social Explorer and cleaned using Rstudio. Maps were created in ArcPro and GeoDa.

Some of the statistical techniques used in this spatial analysis include:

  • Mean Center / Standard Distance / Directional Distribution
  • Univariate Moran's I
  • Bivariate Moran's I
  • Spatial Autocorrelation (single variable)
  • BiLISA (Bivariate Local Indicator of Spatial Association)

Repository Contents

  • The data folder houses all of the data that was used to complete this project, including raw data, clean data, and shapefiles.
  • The docs folder includes the R notebooks that were used to clean the original data before sending it off to ArcPro.
  • The maps folde contains all of the maps that homework 1 asked us to generate, as well as a few tables.
  • The spatial statistics folder includes all of the spatial statistics that were calculated from homework 1.

About Saint Louis University

Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic institutions. Rooted in Jesuit values and its pioneering history as the first university west of the Mississippi River, SLU offers nearly 13,000 students a rigorous, transformative education of the whole person. At the core of the University’s diverse community of scholars is SLU’s service-focused mission, which challenges and prepares students to make the world a better, more just place.

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This repository is a spatial analysis of Los Angeles County.

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