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Satellites and Suburbs: A High-resolution Model of Open-space Conversion

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  • Iovanna, Rich
  • Vance, Colin

Abstract

This study examines the determinants of urbanized area across a 10,000-mile square swath in central North Carolina, an area undergoing extensive conversion of forest and agricultural land.We model the temporal and spatial dimensions of these landscape changes using a database that links five satellite images spanning 1976?2001 to a suite of socioeconomic, ecological and GIScreated explanatory variables. By specifying the complementary log-log derivation of the proportional hazards model, we employ a methodology for modeling a continuous time process – the conversion of land to impervious surface – using discrete-time satellite data. Spatial effects are captured by several variables derived from the imagery that measure the landscape configuration surrounding a pixel. Empirical results confirm the significance of several determinants of urbanization identified elsewhere in the literature, including proximity to roads and population density, but also suggest that the parameterization of these variables is biased when the influence of landscape configuration is unaccounted for. We conclude that the inclusion of spatial pattern metrics significantly improves both the explanatory and predictive power of the estimated model of urbanization.

Suggested Citation

  • Iovanna, Rich & Vance, Colin, 2006. "Satellites and Suburbs: A High-resolution Model of Open-space Conversion," RWI Discussion Papers 50, RWI - Leibniz-Institut für Wirtschaftsforschung.
  • Handle: RePEc:zbw:rwidps:50
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    File URL: https://www.econstor.eu/bitstream/10419/18601/1/DP_06_050.pdf
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    References listed on IDEAS

    as
    1. Lubowski, Ruben N., 2003. "Land Use Change," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-2, June.
    2. Hite, Diane & Sohngen, Brent & Templeton, Josh, 2003. "Zoning, Development Timing, and Agricultural Land Use at the Suburban Fringe: A Competing Risks Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 32(1), pages 153-153, April.
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    More about this item

    Keywords

    Urbanization; hazard models; satellite imagery;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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