The algorithmic and representational uncertainties in green space exposure measurement: conceptualizations and a suite of available methods for mobility-oriented studies

Multiple coupled green space data and representations from Earth observations are available for deriving green space exposure measurements, but they may not be equally effective in health outcome modeling. This indicates algorithmic and representational uncertainties in green space research. In this...

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Hlavní autoři:	Yang Liu, Mei-Po Kwan, Changda Yu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2026-01-01
Edice:	International Journal of Digital Earth
Témata:	Green space exposure measurement algorithmic and representational uncertainty green space representation human mobility
On-line přístup:	https://www.tandfonline.com/doi/10.1080/17538947.2026.2617681
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