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A Modeling Framework Using Markov Chain and Autologistic Regression to Adjust Temporal and Spatial Dependencies for PM 2.5 Trajectory Risk Prediction.

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Title: A Modeling Framework Using Markov Chain and Autologistic Regression to Adjust Temporal and Spatial Dependencies for PM 2.5 Trajectory Risk Prediction.
Authors: Chowdhury, Rafiqul1 (AUTHOR) rafiqul_chowdhury@cbu.ca, Hasan, M. Tariqul2 (AUTHOR) thasan@unb.ca
Source: Environments (2076-3298). Mar2026, Vol. 13 Issue 3, p154. 32p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 192664496
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Modeling Framework Using Markov Chain and Autologistic Regression to Adjust Temporal and Spatial Dependencies for PM 2.5 Trajectory Risk Prediction.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192664496
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/environments13030154
    Languages:
      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 154
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      – TitleFull: A Modeling Framework Using Markov Chain and Autologistic Regression to Adjust Temporal and Spatial Dependencies for PM 2.5 Trajectory Risk Prediction.
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            NameFull: Chowdhury, Rafiqul
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            NameFull: Hasan, M. Tariqul
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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