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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

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Urbanization in India: Population and Urban Classification Grids for 2011.

Deborah Balk^1,2, Mark R Montgomery^3,4, Hasim Engin¹

¹CUNY Institute for Demographic Research, City University of New York, New York, NY 10010, USA.

|July 10, 2023

Summary

This summary is machine-generated.

India

Keywords:

Global Human Settlement Layer India built-up area census grid population raster urbanization

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Area of Science:

Urbanization studies
Geospatial analysis
Population geography

Background:

India's urbanization estimates conflict between official data and alternative conceptions.
Detailed spatial data for analyzing these discrepancies have been lacking.
Understanding India's urban transition is crucial for policy and planning.

Purpose of the Study:

To reconcile conflicting urbanization estimates in India.
To provide high-resolution spatial data for urban analysis.
To enable empirical comparison of different urbanization models.

Main Methods:

Generated 1 km gridded population estimates for India.
Created two spatial urban area renderings: official census data and Global Human Settlement Layer (GHSL) built-up land.
Cross-classified census and remotely-sensed data for a hybrid urban continuum representation.

Main Results:

Developed detailed spatial datasets of population and urban extents.
Enabled fine-grained comparison of official and remotely-sensed urban definitions.
Provided a novel hybrid representation of India's urban landscape.

Conclusions:

The presented data offer an unprecedented empirical basis for studying India's urbanization.
Facilitates a deeper understanding of the spatial nuances of urban transitions.
Supports comparative analysis of diverse urbanization conceptualizations.