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Section B

Comparison of GPS observations made in a forestry setting using functional data analysis

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Pages 402-408 | Received 27 Aug 2010, Accepted 02 May 2011, Published online: 22 Aug 2011

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Jesus Vigo-Aguiar, Juan Carlos Reboredo & Higinio Ramos Calle. (2012) Topics of contemporary computational mathematics. International Journal of Computer Mathematics 89:3, pages 265-267.
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Xurxo Rigueira, María Pazo, María Araújo, Saki Gerassis & Elvira Bocos. (2023) Bayesian Machine Learning and Functional Data Analysis as a Two-Fold Approach for the Study of Acid Mine Drainage Events. Water 15:8, pages 1553.
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Xurxo Rigueira, María Araújo, Javier Martínez, Paulino José García-Nieto & Iago Ocarranza. (2022) Functional Data Analysis for the Detection of Outliers and Study of the Effects of the COVID-19 Pandemic on Air Quality: A Case Study in Gijón, Spain. Mathematics 10:14, pages 2374.
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Taeyoon Lee, Pete Bettinger, Chris J. Cieszewski & Alba Rocio Gutierrez Garzon. (2020) The applicability of recreation-grade GNSS receiver (GPS watch, Suunto Ambit Peak 3) in a forested and an open area compared to a mapping-grade receiver (Trimble Juno T41). PLOS ONE 15:4, pages e0231532.
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C. Sierra, C. Ordóñez, A. Saavedra & J.R. Gallego. (2015) Element enrichment factor calculation using grain-size distribution and functional data regression. Chemosphere 119, pages 1192-1199.
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C. Ordóñez, C. Sierra, T. Albuquerque & J.R. Gallego. (2013) Functional data analysis as a tool to correlate textural and geochemical data. Applied Mathematics and Computation 223, pages 476-482.
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