Automating land parcel classification for neighborhood-scale urban analysis

Xinyue Ye, V. Kelly Turner, Bing She

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1396-1405
Number of pages10
JournalInternational Journal of Digital Earth
Volume12
Issue number12
DOIs
StatePublished - Dec 2 2019

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Keywords

  • Land management
  • land parcel classification
  • neighborhood-scale urban analysis
  • open source

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