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Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach
dc.contributor.author | Gerassis, S. | |
dc.contributor.author | Boente López, Carlos | |
dc.contributor.author | Albuquerque, M. T. D. | |
dc.contributor.author | Ribeiro, M., M. | |
dc.contributor.author | Abad, A. | |
dc.contributor.author | Taboada, J. | |
dc.date.accessioned | 2020-06-26T07:57:14Z | |
dc.date.available | 2020-06-26T07:57:14Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Spatial Statistics, 42 (2020); doi:10.1016/j.spasta.2020.100434 | |
dc.identifier.issn | 2211-6753 | |
dc.identifier.uri | http://hdl.handle.net/10651/55293 | |
dc.language.iso | eng | |
dc.relation.ispartof | Spatial Statistics | |
dc.rights | © 2020 Elsevier | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081933433&doi=10.1016%2fj.spasta.2020.100434&partnerID=40&md5=a9aa496cc22e014e9a331787d06f4bbf | |
dc.title | Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.spasta.2020.100434 | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.spasta.2020.100434 |
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