Utilizing large-scale digital data for quantifying hyper-local urban greenspace and air pollution to study environmental associations and inform sustainable cities

Marguerite Nyhan

doi:10.1289/isee.2024.0778

Utilizing large-scale digital data for quantifying hyper-local urban greenspace and air pollution to study environmental associations and inform sustainable cities

Marguerite Nyhan

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	ISEE Conference Abstracts
DOIs	https://doi.org/10.1289/isee.2024.0778
Publication status	Published - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Scale (ratio)
Air pollution
Environmental planning
Environmental science
Geography
Pollution
Environmental resource management
Cartography
Ecology
Biology

Access to Document

10.1289/isee.2024.0778

https://openalex.org/W4401166935Licence: CC BY-NC-ND

Cite this

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title = "Utilizing large-scale digital data for quantifying hyper-local urban greenspace and air pollution to study environmental associations and inform sustainable cities",

keywords = "Scale (ratio), Air pollution, Environmental planning, Environmental science, Geography, Pollution, Environmental resource management, Cartography, Ecology, Biology",

author = "Marguerite Nyhan",

year = "2024",

doi = "10.1289/isee.2024.0778",

language = "English",

journal = "ISEE Conference Abstracts",

issn = "1078-0475",

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AU - Nyhan, Marguerite

PY - 2024

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KW - Scale (ratio)

KW - Air pollution

KW - Environmental planning

KW - Environmental science

KW - Geography

KW - Pollution

KW - Environmental resource management

KW - Cartography

KW - Ecology

KW - Biology

U2 - 10.1289/isee.2024.0778

DO - 10.1289/isee.2024.0778

M3 - Article

SN - 1078-0475

JO - ISEE Conference Abstracts

JF - ISEE Conference Abstracts

ER -