ArticlePopulation and environment2019
Missing millions: undercounting urbanization in India.
Article in Population and environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Inflammatory bowel disease (IBD) in rural and urban India: results from community colonoscopic evaluation of more than 30,000 symptomatic patients.The Lancet regional health. Southeast Asia · 2023Article
- Mapping urban living standards and economic activity in developing countries with energy data.PloS one · 2023Article
- Article
- Global Harmonization of Urbanization Measures: Proceed with Care.Remote sensing · 2021Article
- Urban health and nutrition day or only immunisation day? barriers and bottlenecks in implementing Urban health and nutrition day in an Urban primary health centre of Nagpur, Central India.Journal of mother and child · 2021Article
- Long-Term Air Pollution Exposure and Ischemic Heart Disease Mortality Among Elderly in High Aging Asian Economies.Frontiers in public health · 2021Article
- Screening of Individuals with Type 2 Diabetes on Anti-Diabetic Agents for Probable Hypoglycaemia Using the Stanford Hypoglycemia Questionnaire (SHQ) in Outpatient Settings: A Cross-Sectional Study from Outpatient Diabetes Care Centres in North India.Indian journal of endocrinology and metabolismArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The measurement and characterization of urbanization crucially depends upon defining what counts as urban. The government of India estimates that only 31% of the population is urban. We show that this is an artifact of the definition of urbanity and an underestimate of the level of urbanization in India. We use a random forest-based model to create a high-resolution (~ 100 m) population grid from district-level data available from the Indian Census for 2001 and 2011, a novel application of such methods to create temporally consistent population grids. We then apply a community-detection clustering algorithm to construct urban agglomerations for the entire country. Compared with the 2011 official statistics, we estimate 12% more of urban population, but find fewer mid-size cities. We also identify urban agglomerations that span jurisdictional boundaries across large portions of Kerala and the Gangetic Plain.
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Registered trials
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