An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021

Lu, Weipeng; Weng, Qihao

doi:10.1016/j.compenvurbsys.2024.102072

Computers, Environment and Urban Systems

2024

DOI: 10.1016/j.compenvurbsys.2024.102072

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An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021

Weipeng Lu,

Qihao Weng

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Cited by 3 publications

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Mapping high-resolution global gridded population distribution from 1870 to 2100

Zhuang,

Liu,

et al. 2024

Science of The Total Environment

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Mapping high-resolution global gridded population distribution from 1870 to 2100

Zhuang,

Liu,

et al. 2024

Science of The Total Environment

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High-resolution population mapping based on SDGSAT-1 glimmer imagery and deep learning: a case study of the Guangdong-Hong Kong-Marco Greater Bay Area

Duan,

Shi,

et al. 2024

International Journal of Digital Earth

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Dasymetric Algorithms Using Land Cover to Estimate Human Population at Smaller Spatial Scales

Bonnevie,

Hansen,

Schrøder

2024

IJGI

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Data repositories such as Eurostat and OECD provide important socioeconomic datasets useful to guide decision support towards reaching sustainable development goals. However, socioeconomic data are typically available at a limited spatiotemporal scale. In the Horizon Europe-funded AquaINFRA project, a specific scope is to make EU data more analysis ready. As part of this, transformations of data into common spatial entities are needed to facilitate cross-analysis in, for example, social-ecological modelling. This paper uses CORINE land cover as ancillary data and EUROSTAT population data to investigate binary and weighted dasymetric refinement strategies to arrive at areal interpolation algorithms to estimate population data at smaller spatial scales. Six different algorithms are presented, and their accuracies are tested with quality measures. Their limitations and further development potentials on how to make them more precise and expand their usefulness in the future to other types of socioeconomic data are discussed.

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An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021

Cited by 3 publications

References 53 publications

Mapping high-resolution global gridded population distribution from 1870 to 2100

Mapping high-resolution global gridded population distribution from 1870 to 2100

High-resolution population mapping based on SDGSAT-1 glimmer imagery and deep learning: a case study of the Guangdong-Hong Kong-Marco Greater Bay Area

Dasymetric Algorithms Using Land Cover to Estimate Human Population at Smaller Spatial Scales

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