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Main Authors: Okeke, Onyedikachi J., Nelson, Uloma E., Nwaogu, Chukwudi, Oladoyin, Olumide O., Kubuafor, Emmanuel, Baidoo, Dennis, Akinyemi, Titilope, Ajeyomi, Adedoyin S., Idris, Rekiya A., Fabunmi, Isaac A.
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.11048
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author Okeke, Onyedikachi J.
Nelson, Uloma E.
Nwaogu, Chukwudi
Oladoyin, Olumide O.
Kubuafor, Emmanuel
Baidoo, Dennis
Akinyemi, Titilope
Ajeyomi, Adedoyin S.
Idris, Rekiya A.
Fabunmi, Isaac A.
author_facet Okeke, Onyedikachi J.
Nelson, Uloma E.
Nwaogu, Chukwudi
Oladoyin, Olumide O.
Kubuafor, Emmanuel
Baidoo, Dennis
Akinyemi, Titilope
Ajeyomi, Adedoyin S.
Idris, Rekiya A.
Fabunmi, Isaac A.
contents This study applies Multiscale Geographically Weighted Regression (MGWR) to examine the spatial determinants of household wealth in Bernalillo County, New Mexico. The model incorporates sociodemographic, environmental, and proximity-based variables to evaluate how locational suitability influences economic outcomes. Key factors considered include income, home value, elevation, PM2.5 concentration, and distances to essential services such as schools, markets, and hospitals. The MGWR model demonstrates strong performance, explaining approximately 63 percent of the variation in household wealth. Results show that proximity to markets, schools, and parks significantly increases wealth in over 40 percent of neighborhoods. In contrast, closeness to hospitals and bus stops is negatively associated with wealth, suggesting that nearby disamenities can reduce housing desirability. Strong spatial autocorrelation (Morans I = 0.53, p < 0.001) indicates that wealthier households are significantly clustered, highlighting the influence of localized factors. Overall, the study reveals that the relationship between locational suitability and household wealth is spatially variable across the county.
format Preprint
id arxiv_https___arxiv_org_abs_2510_11048
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
Okeke, Onyedikachi J.
Nelson, Uloma E.
Nwaogu, Chukwudi
Oladoyin, Olumide O.
Kubuafor, Emmanuel
Baidoo, Dennis
Akinyemi, Titilope
Ajeyomi, Adedoyin S.
Idris, Rekiya A.
Fabunmi, Isaac A.
Applications
This study applies Multiscale Geographically Weighted Regression (MGWR) to examine the spatial determinants of household wealth in Bernalillo County, New Mexico. The model incorporates sociodemographic, environmental, and proximity-based variables to evaluate how locational suitability influences economic outcomes. Key factors considered include income, home value, elevation, PM2.5 concentration, and distances to essential services such as schools, markets, and hospitals. The MGWR model demonstrates strong performance, explaining approximately 63 percent of the variation in household wealth. Results show that proximity to markets, schools, and parks significantly increases wealth in over 40 percent of neighborhoods. In contrast, closeness to hospitals and bus stops is negatively associated with wealth, suggesting that nearby disamenities can reduce housing desirability. Strong spatial autocorrelation (Morans I = 0.53, p < 0.001) indicates that wealthier households are significantly clustered, highlighting the influence of localized factors. Overall, the study reveals that the relationship between locational suitability and household wealth is spatially variable across the county.
title Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
topic Applications
url https://arxiv.org/abs/2510.11048