A discussion on the significance associated with Pearson’s correlation in precision agriculture studies
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Baluja, J., Diago, M., Goovaerts, P., & Tardaguila, J. (2012). Assessment of the spatial variability of anthocyanins in grapes using a fluorescence sensor: Relationships with vine vigour and yield. Precision Agriculture, 13(4), 457–472. doi: 10.1007/s11119-012-9261-x .
Beale, C. M., Lennon, J. J., Yearsley, J. M., Brewer, M. J., & Elston, D. A. (2010). Regression analysis of spatial data. Ecology Letters, 13, 246–264.
Clifford, P., Richardson, S., & Hemon, D. (1989). Testing the association between two spatial processes. Biometrics, 45, 123–134.
Curran, P. J. (1983). Multispectral remote sensing for the estimation of green leaf area index. Philosophical Transactions of the Royal Society London A, 309, 257–270.
Dormann, C. F., McPherson, J. M., Araujo, M. B., Bivand, R., Bolliger, J., Carl, G., et al. (2007). Methods to account for spatial autocorrelation in the analysis of species distributional data: A review. Ecography, 30, 609–628.
Drissi, R., Goutouly, J.-P., Forget, D., & Gaudillere, J.-P. (2009). Nondestructive measurement of grapevine leaf area by ground normalized difference vegetation index. Agronomy Journal, 101(1), 226–231.
Dutilleul, P. (1993). Modifying the t-test for assessing the correlation between two spatial processes. Biometrics, 49, 305–314.
Hall, A., Lamb, D. W., Holzapfel, B. P., & Louis, J. P. (2011). Within-season temporal variation in correlations between vineyard canopy and winegrape composition and yield. Precision Agriculture, 12(1), 103–117.
Jordan, T. D., Pool, R. M., Zabadal, T. J., & Tompkins, J. P. (1981). Cultural practices for commercial vineyards; miscellaneous bulletin 111. Geneva: New York State College of Agriculture and Life Sciences.
Minasny, B., McBratney, A. B., & Whelan, B. M. (2005). VESPER version 1.62. Precision Agriculture Laboratory, Faculty of Agriculture and Environment, University of Sydney, NSW 2006. http://sydney.edu.au/agriculture/pal/software/vesper.shtml . Accessed 16 April 2013.
Rosenberg, M. S., & Anderson, C. D. (2011). PASSaGE: Pattern Analysis, Spatial Statistics and Geographic Exegesis. Version 2. Methods in Ecology and Evolution, 2(3), 229–232.
Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In S. C. Freden, E. P. Mercanti & M. A. Becker (Eds.), Third Earth Resource Technology Satellite (ERTS) Symposium (Vol. 1, pp. 309–317). Washington, DC: NASA. Special Publication SP-351.
Stamatiadis, S., Taskos, D., Tsadila, E., Christofides, C., Tsadilas, C., & Schepers, J. S. (2010). Comparison of passive and active canopy sensors for the estimation of vine biomass production. Precision Agriculture, 11, 306–315.
Whelan, B. M., McBratney, A. B., & Minasny, B. (2001). Vesper - Spatial prediction software for precision agriculture. In G. Grenier & S. Blackmore (Eds.), ECPA 2001—Proceedings of the 3rd European Conference on Precision Agriculture (pp. 139–144). Montpellier: agro-Montpellier. FR.