The Generic Slum Ontology: Can a Global Slum Repository be created?

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Slums are home to approximately one quarter of the world’s urban population, in most cities of the Global South the majority of the urban population lives in such areas. In support of global slum eradication and transformation policies, such as the SDG goal 11 which aims to reduce slums by ensuring inclusiveness of urban areas and developments, consistent global information about the amount and spatial distribution of slums across cities in the Global South is needed. We explore the generic slum ontology (GSO) and available spatial data to seek for robust and transferable indicators for global slum mapping. The initial results of our analysis demonstrate that indicators such as building density and road characteristics in an image are potentially useful to describe differences between slum and non-slum built-up areas. In conclusion, this study highlights the opportunities of the GSO for the development of a global slum repository but also show the need of local adaptations and hence, the importance of the conceptualization of real-world features into image domain features.
Original languageEnglish
Title of host publicationIEEE - Joint Urban Remote Sensing Event, 2019
Place of PublicationVannes
PublisherIEEE
Number of pages4
ISBN (Print)978-1-7281-0009-8
Publication statusPublished - Jun 2019
EventJoint Urban Remote Sensing Event, JURSE 2019 - Vannes, France
Duration: 22 May 201924 May 2019
http://jurse2019.org/

Conference

ConferenceJoint Urban Remote Sensing Event, JURSE 2019
Abbreviated titleJURSE 2019
CountryFrance
CityVannes
Period22/05/1924/05/19
Internet address

Fingerprint

urban population
repository
local adaptation
spatial data
urban development
urban area
spatial distribution
road
city
indicator
analysis
need
world
policy
non-built-up area

Cite this

Kohli, D., Kuffer, M., & Gevaert, C. M. (2019). The Generic Slum Ontology: Can a Global Slum Repository be created? In IEEE - Joint Urban Remote Sensing Event, 2019 Vannes: IEEE.
Kohli, D. ; Kuffer, M. ; Gevaert, C.M. / The Generic Slum Ontology : Can a Global Slum Repository be created?. IEEE - Joint Urban Remote Sensing Event, 2019. Vannes : IEEE, 2019.
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title = "The Generic Slum Ontology: Can a Global Slum Repository be created?",
abstract = "Slums are home to approximately one quarter of the world’s urban population, in most cities of the Global South the majority of the urban population lives in such areas. In support of global slum eradication and transformation policies, such as the SDG goal 11 which aims to reduce slums by ensuring inclusiveness of urban areas and developments, consistent global information about the amount and spatial distribution of slums across cities in the Global South is needed. We explore the generic slum ontology (GSO) and available spatial data to seek for robust and transferable indicators for global slum mapping. The initial results of our analysis demonstrate that indicators such as building density and road characteristics in an image are potentially useful to describe differences between slum and non-slum built-up areas. In conclusion, this study highlights the opportunities of the GSO for the development of a global slum repository but also show the need of local adaptations and hence, the importance of the conceptualization of real-world features into image domain features.",
author = "D. Kohli and M. Kuffer and C.M. Gevaert",
year = "2019",
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Kohli, D, Kuffer, M & Gevaert, CM 2019, The Generic Slum Ontology: Can a Global Slum Repository be created? in IEEE - Joint Urban Remote Sensing Event, 2019. IEEE, Vannes, Joint Urban Remote Sensing Event, JURSE 2019, Vannes, France, 22/05/19.

The Generic Slum Ontology : Can a Global Slum Repository be created? / Kohli, D.; Kuffer, M.; Gevaert, C.M.

IEEE - Joint Urban Remote Sensing Event, 2019. Vannes : IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - The Generic Slum Ontology

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AU - Kohli, D.

AU - Kuffer, M.

AU - Gevaert, C.M.

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N2 - Slums are home to approximately one quarter of the world’s urban population, in most cities of the Global South the majority of the urban population lives in such areas. In support of global slum eradication and transformation policies, such as the SDG goal 11 which aims to reduce slums by ensuring inclusiveness of urban areas and developments, consistent global information about the amount and spatial distribution of slums across cities in the Global South is needed. We explore the generic slum ontology (GSO) and available spatial data to seek for robust and transferable indicators for global slum mapping. The initial results of our analysis demonstrate that indicators such as building density and road characteristics in an image are potentially useful to describe differences between slum and non-slum built-up areas. In conclusion, this study highlights the opportunities of the GSO for the development of a global slum repository but also show the need of local adaptations and hence, the importance of the conceptualization of real-world features into image domain features.

AB - Slums are home to approximately one quarter of the world’s urban population, in most cities of the Global South the majority of the urban population lives in such areas. In support of global slum eradication and transformation policies, such as the SDG goal 11 which aims to reduce slums by ensuring inclusiveness of urban areas and developments, consistent global information about the amount and spatial distribution of slums across cities in the Global South is needed. We explore the generic slum ontology (GSO) and available spatial data to seek for robust and transferable indicators for global slum mapping. The initial results of our analysis demonstrate that indicators such as building density and road characteristics in an image are potentially useful to describe differences between slum and non-slum built-up areas. In conclusion, this study highlights the opportunities of the GSO for the development of a global slum repository but also show the need of local adaptations and hence, the importance of the conceptualization of real-world features into image domain features.

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M3 - Conference contribution

SN - 978-1-7281-0009-8

BT - IEEE - Joint Urban Remote Sensing Event, 2019

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Kohli D, Kuffer M, Gevaert CM. The Generic Slum Ontology: Can a Global Slum Repository be created? In IEEE - Joint Urban Remote Sensing Event, 2019. Vannes: IEEE. 2019