Identification and quantification of urban space in India: Defining urban macro-structures

Perez, Joan; Fusco, Giovanni; Moriconi-Ébrard, François

doi:10.1177/0042098018783870

Cited by 18 publications

(7 citation statements)

References 5 publications

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“…Chandrashekar (2011) found that 8 million rural residents travelled routinely to work in urban centres across India in 2009–2010, constituting about 9% of the urban workforce. The article by Perez et al (2019, this volume) exemplifies this project of proposing more sensitive ways to capture India’s urbanisation processes by employing alternative methods…”

Section: The Vsimentioning

confidence: 99%

Urban studies in India across the millennial turn: Histories and futures

Coelho

Sood²

2021

Urban Studies

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The millennial turn saw a distinct efflorescence in scholarship on urban India. This essay introduces a Virtual Special Issue on urban studies in India that showcases a selection of articles from the journal’s archives. It traces the disciplinary, thematic and methodological shifts that have marked this millennial turn. On the one hand, the social science of the urban has had a statist bent, reacting to the policy focus on cities as growth engines in the post-liberalisation era. On the other hand, critical urban studies has brought attention to the unregulated, deregulated, unplanned and unintended city produced by dynamic processes of informality acting overtly or covertly against the state’s neoliberal agendas. This introductory essay aims to examine the ways this interplay has unfolded both in the pages of this journal and elsewhere. It locates the Virtual Special Issue selection within a broader review of the state of scholarship in Indian urban studies and marks out areas for productive interventions in the future study of Indian cities.

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Section: The Vsimentioning

confidence: 99%

Urban studies in India across the millennial turn: Histories and futures

Coelho

Sood²

2021

Urban Studies

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“…A first series of morphological closings, parametrized according to the detected threshold value, are produced on the centroid distributions {B i ( k )} and {B i ( k + x )}. These morphological closings, like the ones applied in Perez et al. (2019b), are composed of a dilation followed by an erosion algorithm.…”

Section: Morphological Closings Experimental Variograms and Classification Of Residential Buildingsmentioning

confidence: 99%

Classification of residential buildings into spatial patterns of urban growth: A morpho-structural approach

Perez

Ornon

Usui

2020

Environment and Planning B: Urban Analytics and City Science

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This paper presents a methodological protocol that combines a structural and a morphological approach to classify residential buildings into spatial patterns of urban growth. Variography analysis is employed to endogenously detect thresholds of building agglomerations, subsequently used as distance parameters for series of morphological closings over the distribution of the building centroids. The different bounding regions ultimately allow classifying new residential buildings into different categories according to their degrees of clustering/scattering and to their locations within/without existing urban structures and within/without recent urban sprawl. The protocol, developed for areas where suburbs tend to proliferate, is tested on a region in southern France using residential buildings in 2002, 2017, and those that appeared between these two dates. It successfully classified the new buildings into the following categories: “clustered infill urban densification”, “scattered infill urban densification”, “low-density edge-expansion”, “compact edge-expansion”, “low-density scattered urban development”, and “leapfrog urban development” thus showing that new residential buildings are not contributing to urban sprawl and development in a similar fashion. Open access is provided to the source code and to the test region data.

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“…Offsets around the 2002 and 2017 point features are then created in order to extract built-up areas using the “buffer” function of the raster package. These operations, named morphological closings [ 14 ], are composed of a dilatation followed by an erosion algorithm. They allow linking close by centroids, ignoring small holes and interstices.…”

Section: Script Presentation and Applicationmentioning

confidence: 99%

Variography and Morphometry for Classifying Building Centroids: Protocol, Data and Script

Perez¹,

Ornon²,

Usui³

2020

Computational Science and Its Applications – ICCSA 2020

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Different spatial patterns of urban growth exist such as infill, edge-expansion and leapfrog development. This paper presents a methodology, and a corresponding script, that classify new residential buildings as patterns of urban growth. The script performs a combination of variography and morphometry over building centroids on two different dates. The test data is made of the building centroids of 2002 and 2017 for Centre-Var, a region located in southern France. The different bounding regions, yield from series of morphological closings, allow classifying the building centroids that appeared between 2002 and 2017 into different categories of spatial patterns of urban growth. The final classification is made according to the degree of clustering/scattering of new centroids and to their locations regarding existing urban areas. Preliminary results show that this protocol is able to provide useful insights regarding the degree of contribution of each new residential building to the following patterns of urban growth: clustered infill, scattered infill, clustered edge-expansion, scattered edge-expansion, clustered leapfrog and scattered leapfrog. Open access to the script and to the test region data is provided.

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Identification and quantification of urban space in India: Defining urban macro-structures

Cited by 18 publications

References 5 publications

Urban studies in India across the millennial turn: Histories and futures

Urban studies in India across the millennial turn: Histories and futures

Classification of residential buildings into spatial patterns of urban growth: A morpho-structural approach

Variography and Morphometry for Classifying Building Centroids: Protocol, Data and Script

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