Summary & Purpose

This is a polygon data set representing urban growth forms for new development within areas of special interest in Boise, Idaho and the surrounding region.

Date of Publication or Submission

6-27-2016

DOI

http://doi.org/10.18122/B2QC7K

Funding Citation

This publication was made possible by the NSF Idaho EPSCoR Program and by the National Science Foundation under award number IIA-1301792.

Data Source Credits

Derived from parcel maps publicly available from Assessors Offices of Ada and Canyon Counties Idaho.

Single Dataset or Series?

Series

Data Format

*.shp, *.zip

Data Attributes

Using the urban extent maps for the eight different years, we extracted newly developed land (or patches) for seven change periods: 1938-1951, 1951-1962, 1962-1972, 1972-1982, 1982-1994, 1994-2004 and 2004-2014. These newly developed patches for each of the change periods were classified into three UGFs: edge-expansion, infill and outlying (Figure 2). In general, edge-expansion is the spatial extension of an existing urban patch through the conversion of adjacent non-urban lands. Infill development occurs when vacant spaces within the urban area are converted into built environment. Outlying or spontaneous development characterizes diffusion of new urban patches throughout the landscape detached from the existing urban areas. In order to classify the urbanized area into these three forms, we computed a ratio for each newly developed patch, following Xu et al.(2007), as: R i = p c / p i ……………………………………… (1) where, R i is the ratio for a newly developed patch i, p c is the common edge between patch i and existing urban patch(es), and p i is the total perimeter of patch i. The value of R ranges between 0 and 1. Simple heuristic rules were applied to categorize the patches into the three UGFs: If R i > 0.45, then Patch i == infill; if R i <= 0.45, then Patch i == edge-expansion; and if R i == 0, then Patch i == outlying. When the value of R is more than 45%, a majority of the newly developed patch is surrounded by the existing urban patch(es), and is therefore considered as infill development. The threshold of 45% was chosen to separate patches between infill and edge-expansion based on a few trial and error runs for the study area. UGFs were classified by using a custom developed Python scripting tool in Esri’s ArcGIS. Spatial Reference: NAD 1983 Transverse Mercator; Projection: Transverse_Mercator Definition of attributes and categories: DevType = development types or forms, Ratio = ratio of newly developed area computed in the way as mentioned above.

Map Area

44.047952N, 42.975526S

Map Area

-115.855445E, -117.093888W

Map Area Coordinate System

GCS_North_American_1983, Projected to NAD_1983_Transverse_Mercator

Time Period

1938-1951, 1951-1962, 1962-1972, 1972-1982, 1982-1994, 1994-2004, 2004-2014

Privacy and Confidentiality Statement

We are explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.

Use Restrictions

Data will be provided to all who agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. By downloading these data and using them to produce further analysis and/or products, users agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. Use constraints: Acceptable uses of data provided by Idaho EPSCoR include any academic, research, educational, governmental, recreational, or other not-for-profit activities. Any use of data provided by the Idaho EPSCoR must acknowledge Idaho EPSCoR and the funding source(s) that contributed to the collection of the data. Users are expected to inform the Idaho EPSCoR Office and the PI(s) responsible for the data of any work or publications based on data provided.

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