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Modelling PM2.5 for Data-Scarce Zone of Northwestern India using Multi Linear Regression and Random Forest Approaches.

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Title: Modelling PM2.5 for Data-Scarce Zone of Northwestern India using Multi Linear Regression and Random Forest Approaches.
Authors: Sharma, Vipasha1, Ghosh, Swagata1,2, swagata.gis@gmail.com, Dey, Sagnik3, Singh, Sultan4
Source: Annals of GIS; Sep2023, Vol. 29 Issue 3, p415-427, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 170718219
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Modelling PM2.5 for Data-Scarce Zone of Northwestern India using Multi Linear Regression and Random Forest Approaches.
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  Data: <searchLink fieldCode="AU" term="%22Sharma%2C+Vipasha%22">Sharma, Vipasha</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ghosh%2C+Swagata%22">Ghosh, Swagata</searchLink><relatesTo>1,2</relatesTo>, <i>swagata.gis@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Dey%2C+Sagnik%22">Dey, Sagnik</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Singh%2C+Sultan%22">Singh, Sultan</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+GIS%22">Annals of GIS</searchLink>; Sep2023, Vol. 29 Issue 3, p415-427, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=170718219
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/19475683.2023.2183523
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 415
    Titles:
      – TitleFull: Modelling PM2.5 for Data-Scarce Zone of Northwestern India using Multi Linear Regression and Random Forest Approaches.
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            NameFull: Sharma, Vipasha
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            NameFull: Ghosh, Swagata
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            NameFull: Dey, Sagnik
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            NameFull: Singh, Sultan
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          Dates:
            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 19475683
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              Value: 29
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Annals of GIS
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