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Matthew Dube

Biographic Data

ID6087898
NAMEMatthew Dube
GIVEN NAMESMatthew
FAMILY NAMEDube
SIGNATUREDUBE M
AFFILIATIONSDepartment of Computer Information Systems and Data Science University of Maine at Augusta Augusta Maine USA
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Using geographic information systems to assess community‐level vulnerability to housing insecurity in rural areas

    Open Access•Kristen D Gleason, Matthew Dube et al.•ARTICLE•Journal of Community Psychology•2022•Cited by: 2•References: 29

    Research examining homelessness in rural areas has been sparse. The current study aims to expand conceptions of rural homelessness by mapping community‐level risk factors related to housing insecurity. Geographic information systems (GIS) techniques were used to map the distribution of select community‐level risk indicators in the State of Maine. Three methodological choices related to this process are demonstrated: (1) selection and distribution…

  • Using geographic information systems to assess community‐level vulnerability to housing insecurity in rural areas

    Open Access•Kristen D Gleason, Matthew Dube et al.•ARTICLE•Journal of Community Psychology•2022•Cited by: 2•References: 29

    Research examining homelessness in rural areas has been sparse. The current study aims to expand conceptions of rural homelessness by mapping community‐level risk factors related to housing insecurity. Geographic information systems (GIS) techniques were used to map the distribution of select community‐level risk indicators in the State of Maine. Three methodological choices related to this process are demonstrated: (1) selection and distribution…

  • Using geographic information systems to assess community‐level vulnerability to housing insecurity in rural areas

    Open Access•Kristen D Gleason, Matthew Dube et al.•ARTICLE•Journal of Community Psychology•2022•Cited by: 2•References: 29

    Research examining homelessness in rural areas has been sparse. The current study aims to expand conceptions of rural homelessness by mapping community‐level risk factors related to housing insecurity. Geographic information systems (GIS) techniques were used to map the distribution of select community‐level risk indicators in the State of Maine. Three methodological choices related to this process are demonstrated: (1) selection and distribution…

Business (1 work) · Cartography (1 work) · Computer Science (1 work) · Computer security (1 work) · Distribution (mathematics) (1 work) · Economic growth (1 work) · Economics (1 work) · Environmental planning (1 work) · Environmental resource management (1 work) · Food Security and Health in Diverse Populations (1 work)

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