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Assessment of the Use of Geographically Weighted Regression for Analysis of Large On-Farm Experiments and Implications for Practical Application

dc.contributor.authorEvans, Fiona
dc.contributor.authorSalas Recalde, Angela
dc.contributor.authorRakshit, Suman
dc.contributor.authorScanlan, Craig A
dc.contributor.authorCook, Simon E
dc.date.accessioned2020-11-09T04:36:57Z
dc.date.available2020-11-09T04:36:57Z
dc.date.issued2020
dc.identifier.citationEvans, F. and Salas Recalde, A. and Rakshit, S. and Scanlan, C.A. and Cook, S.E. 2020. Assessment of the Use of Geographically Weighted Regression for Analysis of Large On-Farm Experiments and Implications for Practical Application. Agronomy Journal. 10 (11): Article No. 1720.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/81649
dc.identifier.doi10.3390/agronomy10111720
dc.publisherAmerican Society of Agronomy, Inc.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAssessment of the Use of Geographically Weighted Regression for Analysis of Large On-Farm Experiments and Implications for Practical Application
dc.typeJournal Article
dcterms.source.volume10
dcterms.source.number11
dcterms.source.issn0002-1962
dcterms.source.titleAgronomy Journal
dc.date.updated2020-11-09T04:36:56Z
curtin.note

© 2020 The Authors. Published by MDPI Publishing.
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidRakshit, Suman [0000-0003-0052-128X]
curtin.contributor.orcidEvans, Fiona [0000-0002-7329-1289]
curtin.contributor.orcidAngela Recalde Salas [0000-0003-3383-8902]
curtin.contributor.scopusauthoridRakshit, Suman [57193350564]


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