Indexing and partitioning the spatial linear model for large data sets.
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| Title: | Indexing and partitioning the spatial linear model for large data sets. |
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| Authors: | Ver Hoef JM; Marine Mammal Laboratory, NOAA-NMFS Alaska Fisheries Science Center, Seattle, WA, United States of America., Dumelle M; United States Environmental Protection Agency, Corvallis, Oregon, United States of America., Higham M; St. Lawrence University Department of Mathematics, Computer Science, and Statistics, Canton, New York, United States of America., Peterson EE; Australian Research Council Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology, Brisbane, Queensland, Australia., Isaak DJ; Rocky Mountain Research Station, U.S. Forest Service, Boise, ID, United States of America. |
| Source: | PloS one [PLoS One] 2023 Nov 01; Vol. 18 (11), pp. e0291906. Date of Electronic Publication: 2023 Nov 01 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0291906 |
