Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Daniel Borcard"'
Publikováno v:
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment, 2020, 289, pp.106740-. ⟨10.1016/j.agee.2019.106740⟩
Agriculture, Ecosystems & Environment, 2020, 289, pp.106740-. ⟨10.1016/j.agee.2019.106740⟩
Given the impact of livestock on ecosystems worldwide, it is necessary to understand the effects of grazing practices on biodiversity in order to improve the sustainability of pasture management practices. In a pasture, spatio-temporal variability in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b50f09fbf6cf97ce1a27720b0f2cebc
https://hal.archives-ouvertes.fr/hal-03488621
https://hal.archives-ouvertes.fr/hal-03488621
Publikováno v:
Higher Education Press, 2020
HAL
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e953bd8b7d211351c34db67bb3155fa7
https://hal.archives-ouvertes.fr/hal-03092614
https://hal.archives-ouvertes.fr/hal-03092614
Autor:
Pierre Legendre, Daniel Borcard
Publikováno v:
Ecography. 41:1820-1824
In studies of spatial or temporal beta diversity, community composition data, often containing many zeros, must be transformed in some way before they are analysed by multivariate methods of data analysis. Data are transformed to reduce the skewness
Publikováno v:
Agriculture, Ecosystems & Environment. 290:106781
Autor:
Julie C. Aleman, Yves Bergeron, Pierre Grondin, Andy Hennebelle, Daniel Borcard, Olivier Blarquez, Adam A. Ali
Publikováno v:
Forest Ecology and Management
Forest Ecology and Management, 2018, 430, pp.157-165. ⟨10.1016/J.FORECO.2018.08.007⟩
Forest Ecology and Management, 2018, 430, pp.157-165. ⟨10.1016/J.FORECO.2018.08.007⟩
International audience; Ecosystem based management in Quebec is framed by reference conditions defining percentage of old-growth forest (>100-years-old) and forest composition characterizing pre-industrial forest landscapes. In the western spruce-mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed792a9a107b5677115cd4d8ce9d0da3
https://hal.archives-ouvertes.fr/hal-03120392
https://hal.archives-ouvertes.fr/hal-03120392
Publikováno v:
Use R! ISBN: 9783319714035
Numerical Ecology with R ISBN: 9781441979759
Numerical Ecology with R ISBN: 9781441979759
Most methods of multivariate analysis, in particular ordination and clustering techniques, are explicitly or implicitly based on the comparison of all possible pairs of objects or descriptors. The comparisons take the form of association measures (of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d523c5bf15c5fe90c139e6123a8d34e
https://doi.org/10.1007/978-3-319-71404-2_3
https://doi.org/10.1007/978-3-319-71404-2_3
Publikováno v:
Use R! ISBN: 9783319714035
Numerical Ecology with R ISBN: 9781441979759
Numerical Ecology with R ISBN: 9781441979759
The present chapter deals with methods developed for the analysis of scale-dependent structures of ecological data. These methods are based on sets of variables describing spatial structures derived from the coordinates of the sites or from the neigh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0c114acf23b8ae2dddc55d1a5029e0c
https://doi.org/10.1007/978-3-319-71404-2_7
https://doi.org/10.1007/978-3-319-71404-2_7
Publikováno v:
Use R! ISBN: 9783319714035
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::395c67989d04377c9537d15c54e21035
https://doi.org/10.1007/978-3-319-71404-2_1
https://doi.org/10.1007/978-3-319-71404-2_1
Publikováno v:
Use R! ISBN: 9783319714035
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3630d25f8883f4ae1daeb0ae0b3febbe
https://doi.org/10.1007/978-3-319-71404-2_8
https://doi.org/10.1007/978-3-319-71404-2_8
Publikováno v:
Use R! ISBN: 9783319714035
Numerical Ecology with R ISBN: 9781441979759
Numerical Ecology with R ISBN: 9781441979759
Nowadays, most ecological research is done with hypothesis testing and modelling in mind. However, Exploratory Data Analysis (EDA), with its visualization tools and simple statistics, is still required at the beginning of the statistical analysis of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b9a014f4ef1b4384a39bf9027d6ec9
https://doi.org/10.1007/978-3-319-71404-2_2
https://doi.org/10.1007/978-3-319-71404-2_2