Automating land parcel classification for neighborhood-scale urban analysis

Document Type

Article

Publication Date

12-2-2019

Abstract

Homeowners’ Associations (HOAs) dictate landscape structure and management through legally enforceable land covenants at the neighborhood scale in the USA. Determining the location and spatial extent of HOAs is critical for examining its influence. However, such analysis is confounded by the lack of spatial data at the appropriate unit for such analysis. The purpose of this paper is to develop and realize an open source implementation to automate land parcel classification, which is an initial step towards the goal of determining the impact of HOAs on urban land management. Using Maricopa County, Arizona as a testbed, we found that parcel merging processes reduce the number of subdivisions from 26,042 to 17,269, such that boundaries better align with neighborhood units to which rule sets like land covenants apply. Moreover, after an initial training period, this process was completed in just over 7 hours. This research is an important first step in enabling a number of analysis including determining the location and spatial extent of HOAs regionally and, eventually, nationally and determining proposed links between HOAs and land management outcomes.

Identifier

85052084703 (Scopus)

Publication Title

International Journal of Digital Earth

External Full Text Location

https://doi.org/10.1080/17538947.2018.1502370

e-ISSN

17538955

ISSN

17538947

First Page

1396

Last Page

1405

Issue

12

Volume

12

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