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Global and Local Modeling of Land Use Change in the Border Cities of Laredo, Texas, USA and Nuevo Laredo, Tamaulipas, Mexico: A Comparative Analysis

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  • Chunhong Zhao

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
    Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, Northeast Normal University, Changchun 130024, China
    Department of Geography, Texas State University, San Marcos, TX 78666, USA)

  • Jennifer L.R. Jensen

    (Department of Geography, Texas State University, San Marcos, TX 78666, USA)

  • Russell Weaver

    (Department of Geography, Texas State University, San Marcos, TX 78666, USA
    ILR Buffalo Co-Lab, Cornell University, Ithaca, NY 14850, USA)

Abstract

This paper estimates global logistic regression and logistic geographically weighted regression (GWR) models of urban growth in the adjacent border cities of Laredo, Texas in the United States and Nuevo Laredo, Tamaulipas in Mexico, for two time periods from 1985 to 2014. Historical land use and land cover patterns were monitored through Landsat imagery from the United States Geological Survey to identify instances of urban growth through land type change. Data on socioeconomic variables related to urban growth were collected from various sources and used as independent variables. In both time periods, the logistic GWR was proven to be a complementary model for the global logistic regression to explore the urban growth effect. In addition, GWR outperformed the global logistic regression model with respect to goodness of fit. These results suggest that local models are complementary to global models to empirically analyze the determinants of urban growth in study areas that contain political borders, presumably because the relationships between socioeconomic factors and urban growth are characterized by spatial heterogeneity in such areas. The spatial variable of the relationship between urban growth and the neighborhood interactions and proximity effect present the idea of complexity and interconnections between the land use change and associated factors.

Suggested Citation

  • Chunhong Zhao & Jennifer L.R. Jensen & Russell Weaver, 2020. "Global and Local Modeling of Land Use Change in the Border Cities of Laredo, Texas, USA and Nuevo Laredo, Tamaulipas, Mexico: A Comparative Analysis," Land, MDPI, vol. 9(10), pages 1-18, September.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:10:p:347-:d:418360
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    References listed on IDEAS

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    1. Xindong He & Xianmin Mai & Guoqiang Shen, 2019. "Delineation of Urban Growth Boundaries with SD and CLUE-s Models under Multi-Scenarios in Chengdu Metropolitan Area," Sustainability, MDPI, vol. 11(21), pages 1-13, October.
    2. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
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    Cited by:

    1. Dong-jin Lee & Seong Woo Jeon, 2020. "Estimating Changes in Habitat Quality through Land-Use Predictions: Case Study of Roe Deer ( Capreolus pygargus tianschanicus ) in Jeju Island," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    2. Yunfei Peng & Fangling Yang & Lingwei Zhu & Ruru Li & Chao Wu & Deng Chen, 2021. "Comparative Analysis of the Factors Influencing Land Use Change for Emerging Industry and Traditional Industry: A Case Study of Shenzhen City, China," Land, MDPI, vol. 10(6), pages 1-17, May.

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