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Development of a 'Water-Relevant Typology' of Urban Neighborhoods


Authors: Douglas Jackson-Smith Martin Buchert Philip Stoker
Owners: iUTAH Data Manager Douglas Jackson-Smith
Resource type: Generic
Storage: The size of this resource is 35.6 MB
Created: Jul 18, 2016 at 9:35 p.m.
Last updated: Nov 17, 2016 at 3:52 p.m. by Douglas Jackson-Smith
Citation: See how to cite this resource
Sharing Status: Public
Views: 111
Downloads: 7
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Abstract

This dataset and technical report summarizes the methodology and results of a project to develop a water-relevant typology of urban neighborhoods for the greater Wasatch Range Metropolitan Area in northern Utah.

The technical report provides details about the original sources of data and analytic methodology deployed to create the typology. The work is also summarized in a peer-reviewed open-access article published in Cities and the Environment (Available at: http://digitalcommons.lmu.edu/cate/vol9/iss1/5 and copied below).

For users who wish to see copies of the underlying datasets (all aggregated at the census block group scale) for the study area, we have included a text file codebook and files in various formats (.csv, .xlsx, and .sav) for public use.

The effort was supported by the NSF-funded iUTAH project, and has been used to guide the design and implementation of an urban water observatory that captures social, built, and natural system characteristics.

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name: All urban census block groups in 10 northern utah counties/WRMA-Wasatch Range Metropolitan Area
North Latitude
42.2204°
East Longitude
-111.3300°
South Latitude
39.9350°
West Longitude
-112.4725°

Temporal

Start Date:
End Date:

Content

Additional Metadata

Name Value
Observed Variables Neighborhood Type (group), Neighborhood Type (specific), factor scores used to construct typology, component variables used in factor analysis
Variable Description Neighborhood Types
Data Processing Method Data from various sources were aggregated at the census block group (CBG) level to create indicators of 49 characteristics of each CBG. Variables were collapsed into 8 distinct dimensions using factor analysis. The factors were used in a cluster analysis to identify groups of CBGs that shared similar characteristics along the 8 dimensions.
Data Collection Method Analysis of secondary data from various sources (U.S. Census of Population, American Community Survey, Utah Water Related Land Use Dataset, MODIS and LandSat imagery, etc.).

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation iUTAH-innovative Urban Transitions and Aridregion Hydro-sustainability 1208732

How to Cite

Jackson-Smith, D., M. Buchert, P. Stoker (2016). Development of a 'Water-Relevant Typology' of Urban Neighborhoods, HydroShare, http://www.hydroshare.org/resource/84f00a1d8ae641a8af2d994a74f4ccfb

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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