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Spatial Patterns of Slums - Comparing African and Asian Cities

Kuffer, Monika and Orina, Felix and Sliuzas, Richard and Taubenböck, Hannes (2017) Spatial Patterns of Slums - Comparing African and Asian Cities. In: Joint Urban Remote Sensing Event (JURSE) 2017, pp. 1-4. IEEE. Joint Urban Remote Sensing Event (JURSE), 06.-08. März 2017, Dubai, VAE.

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Abstract

Spatial data on slums are commonly either generalized, outdated or not available. Thus, very limited knowledge exist on spatial and locational factors of slums across cities in the Global South. Therefore, this study compares slum characteristics of six cities (three Asian and three African). These characteristics were analyzed at landscape, settlement and object level using available datasets (e.g. Open Street Map) and a set of indicators that are able to describe spatial commonalities and differences at these three spatial levels. The results indicate that slums show at environ level commonalities across six selected cities, while object and settlement level characteristics display more variations between African and Asian cities. Yet, slums are dominated by small buildings, high densities and good locations in terms of accessibility but poor in terms of land suitability.

Item URL in elib:https://elib.dlr.de/111528/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Spatial Patterns of Slums - Comparing African and Asian Cities
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kuffer, MonikaITC EnschedeUNSPECIFIED
Orina, FelixITC EnschedeUNSPECIFIED
Sliuzas, RichardITC EnschedeUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Date:March 2017
Journal or Publication Title:Joint Urban Remote Sensing Event (JURSE) 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:IEEE
Status:Published
Keywords:Global South, informal settlements, slums, spatial metrics, spatial patterns, urbanization, remote sensing
Event Title:Joint Urban Remote Sensing Event (JURSE)
Event Location:Dubai, VAE
Event Type:international Conference
Event Dates:06.-08. März 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience, R - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:27 Mar 2017 14:28
Last Modified:27 Mar 2017 14:28

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