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dc.contributor.author
Irisarri, Jorge Gonzalo Nicolás  
dc.contributor.author
Texeira González, Marcos Alexis  
dc.contributor.author
Reeves, Justin  
dc.date.available
2017-06-02T20:38:35Z  
dc.date.issued
2016-01  
dc.identifier.citation
Irisarri, Jorge Gonzalo Nicolás; Texeira González, Marcos Alexis; Reeves, Justin; It is okay to be average when quantifying rangeland dynamics Comment on: Easdale, M.H & Bruzzone, O. 2015: Anchored in 'average thinking' in studies of arid rangeland dynamics e The need for a step forward from traditional measures of variability. J. Arid. Environ. 116: 77-81; Elsevier; Journal Of Arid Environments; 124; 1-2016; 10-12  
dc.identifier.issn
0140-1963  
dc.identifier.uri
http://hdl.handle.net/11336/17426  
dc.description.abstract
Easdale and Bruzzone (2015) recently indicated that to better capture temporal patterns of rangeland dynamics, there is a need to move forward from simple measures of variability such as mean, standard deviation, and coefficient of variation (CV). They note that this is especially true in cases where long time series are available (e.g., ten or more years at a monthly resolution), as with remotely sensed data. To support this viewpoint, Easdale and Bruzzone (2015) presented multiple simulated time series datasets that had same mean and standard deviation, but different seasonal patterns. These seasonal pattern differences were only captured using Fourier analysis (i.e., power spectrum analysis, Chatfield, 1996), highlighting the utility of the method. Here, however, we show the opposite phenomenon, where multiple datasets can show similar temporal patterns from Fourier analysis, but have different and meaningful means, standard deviations, and CVs.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.relation
http://dx.doi.org/10.1016/j.jaridenv.2015.02.006.  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Cv  
dc.subject
Mean  
dc.subject
Standard Deviation  
dc.subject
Fourier Analysis  
dc.subject.classification
Otras Ciencias Agrícolas  
dc.subject.classification
Otras Ciencias Agrícolas  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
It is okay to be average when quantifying rangeland dynamics Comment on: Easdale, M.H & Bruzzone, O. 2015: Anchored in 'average thinking' in studies of arid rangeland dynamics e The need for a step forward from traditional measures of variability. J. Arid. Environ. 116: 77-81  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-06-02T17:32:53Z  
dc.journal.volume
124  
dc.journal.pagination
10-12  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Irisarri, Jorge Gonzalo Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina  
dc.description.fil
Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina  
dc.description.fil
Fil: Reeves, Justin. United States Department Of Agriculture. Agricultural Research Service; Estados Unidos  
dc.journal.title
Journal Of Arid Environments  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jaridenv.2015.06.005  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S014019631500138X?via%3Dihub