Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization. / Taghavi-Shahri, Seyed Mahmood; Fasso, Alessandro; Mahaki, Behzad; Amini, Heresh.

In: Atmospheric Environment, Vol. 224, 117202, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Taghavi-Shahri, SM, Fasso, A, Mahaki, B & Amini, H 2020, 'Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization', Atmospheric Environment, vol. 224, 117202. https://doi.org/10.1016/j.atmosenv.2019.117202

APA

Taghavi-Shahri, S. M., Fasso, A., Mahaki, B., & Amini, H. (2020). Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization. Atmospheric Environment, 224, [117202]. https://doi.org/10.1016/j.atmosenv.2019.117202

Vancouver

Taghavi-Shahri SM, Fasso A, Mahaki B, Amini H. Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization. Atmospheric Environment. 2020;224. 117202. https://doi.org/10.1016/j.atmosenv.2019.117202

Author

Taghavi-Shahri, Seyed Mahmood ; Fasso, Alessandro ; Mahaki, Behzad ; Amini, Heresh. / Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization. In: Atmospheric Environment. 2020 ; Vol. 224.

Bibtex

@article{ff18d80fe58040c389dcde3b715793bf,
title = "Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization",
keywords = "Air pollution, Exposure assessment, LUR, Missing data, D-STEM",
author = "Taghavi-Shahri, {Seyed Mahmood} and Alessandro Fasso and Behzad Mahaki and Heresh Amini",
year = "2020",
doi = "10.1016/j.atmosenv.2019.117202",
language = "English",
volume = "224",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization

AU - Taghavi-Shahri, Seyed Mahmood

AU - Fasso, Alessandro

AU - Mahaki, Behzad

AU - Amini, Heresh

PY - 2020

Y1 - 2020

KW - Air pollution

KW - Exposure assessment

KW - LUR

KW - Missing data

KW - D-STEM

U2 - 10.1016/j.atmosenv.2019.117202

DO - 10.1016/j.atmosenv.2019.117202

M3 - Journal article

VL - 224

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

M1 - 117202

ER -

ID: 240242620