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  Landscape Characterization / Urban Sprawl / Metrics

Metrics

Introduction-
Quantifying sprawl - Why Bother?

Informed public policy to address sprawl development requires an agreed upon definition of sprawl and indicators to assess this phenomenon.  This involves relating changes in land use / land cover to changes in population using satellite data and other land use data and census data and/or employing measures that characterize the spatial patterns of development.

 

Scale:

Sprawl development is evaluated and mapped at different geographical scales to provide perspective and to target sprawl “hot spots” in order to support more informed land use decision-making concerning this phenomenon.  Mapping sprawl provides a “picture” of where this type of growth is occurring, helps to identify the environmental and natural resources threatened by sprawl, and to suggest the likely future directions and patterns of sprawling growth. Ultimately the power to manage of sprawl resides with local municipal governments that vary considerably in terms of will and ability to address sprawl issues.  The geographical scales at which sprawl is mapped include:
  • Regional
  • State

    Metropolitan Statistical Area (MSA):

  • County
  • Sub-County

WHAT ABOUT USING A SET OF NESTED IMAGES OR MAPS TO DEMONSTRATE THE VARIOUS SPATIAL SCALES AT WHICH SPRAWL COULD BE EVALUATED?

Choroplethic mapping:

  • removing correlation with area

Types of measures:

  • size measures (pop, imperviousness)
  • density measures (pop density, % impervious)
  • ratio measures (pavement per person, K-index)
  • ancillary data (distance to work, average commute time, zoning)
  • shape measures (fragmentation of imperviousness, insularity)

Description of specific measures

  • population density
  • impervious surfaces
  • pavement per person
  • distance from home to work

US Census and Landsat 5 & 7 Derived Data and Indicators For Sprawl Measurement and Assessment

  • Population 1990
  • Units of Impervious lands 1990
  • Population per unit of impervious land  (density by developed land) 1990
  • Impervious land per capita 1990
  • Population 2000
  • Units of Impervious lands 2000
  • Population per unit of impervious land (density by developed land) 2000
  • Impervious land per capita 2000
  • Change in units of impervious land 1990-2000
  • Impervious lands % change 1990-2000
  • Population change 1990 to 2000
  • Population % change (1990-2000)
  • Population per unit of impervious land, % change 1990-2000
  • Amount of impervious land units per new resident
  • Low Density Impervious Land as a % of Total Impervious (1990)
  • Low Density Impervious Land as a % of Total Impervious (2000)
  • Units of Resource (Agricultural/forest) lands 1990
  • Units of Resource (Agricultural/forest) lands 2000
  • Change in units of Resource (Agriculture/forest) lands
  • Resource lands % change 1990-2000
  • Change in resource land units per new resident

Example of a study from Baltimore County or Maryland

Introduction
Methods
Results
Conclusion