Digital deserts on the ground and from space

Martin Klotz, Michael Wurm, Xiaoxiang Zhu, Hannes Taubenbock

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

9 Zitate (Scopus)

Abstract

Slums are among the most visible manifestation of urban poverty. In this vein, earth observation (EO) has been widely accepted as a tool to approximate associated socioeconomic disparities at the city level. In this work, we explore the potential of a novel data source - location-based social networks - in conjunction with EO-based slum maps. Applying meaningful location quotients for spatial clustering of digital hot and cold spots in an experimental setting, we find that such data can add generalized spatial knowledge to space-based methods via the designation of less digitally-oriented population groups. Conversely, slums derived from remote sensing show substantial quantitative correspondence with clustering results, and thus, even enable to reflect underlying intra-urban socioeconomic characteristics.

OriginalspracheEnglisch
Titel2017 Joint Urban Remote Sensing Event, JURSE 2017
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781509058082
DOIs
PublikationsstatusVeröffentlicht - 10 Mai 2017
Extern publiziertJa
Veranstaltung2017 Joint Urban Remote Sensing Event, JURSE 2017 - Dubai, Vereinigte Arabische Emirate
Dauer: 6 März 20178 März 2017

Publikationsreihe

Name2017 Joint Urban Remote Sensing Event, JURSE 2017

Konferenz

Konferenz2017 Joint Urban Remote Sensing Event, JURSE 2017
Land/GebietVereinigte Arabische Emirate
OrtDubai
Zeitraum6/03/178/03/17

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