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A bayesian shared component spatial modeling approach for identifying the geographic pattern of local associations: a case study of young offenders and violent crimes in Greater Toronto Area

Crossref DOI link: https://doi.org/10.1186/s40163-024-00235-5

Published Online: 2024-10-30

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Law, Jane https://orcid.org/0000-0001-6259-9037
Abdullah, Abu Yousuf Md
Funding

Funding for this research was provided by:

Natural Sciences and Engineering Research Council of Canada (RGPIN-2022-03740)
License Information

Text and Data Mining valid from 2024-10-30

Version of Record valid from 2024-10-30
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Article History

Received: 4 July 2024

Accepted: 22 October 2024

First Online: 30 October 2024

Declarations

:

: The authors have no potential competing interests or conflict of interest to declare.

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