Multivariate Statistics for the Environmental Sciences
By P. Shaw. 2003
400 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/848dc32694ebacdc3bbf3d8a95ed36b9dae15da4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Dimitri Lague
- José Blasco
- Sergio Cubero
- Nicolas Brodu
- Nuria Aleixos
- D. Lorente
- Juan Gómez-Sanchís
- P. Damme
Citations in the corpus
- 3D Terrestrial LiDAR data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology (2011, background): “The scale s is here defined as the diameter of a ball centered on a point of interest, as shown in Fig.”
- Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, background): “…a large amount of data, despite being one of the main advantages of hyperspectral systems, can complicate the extraction of useful information since much of the information obtained is redundant or, by nature, cannot be used to distinguish between regions with similar characteristics (Shaw 2003).”
- Tree Diversity in Western Kenya: Using Profiles to Characterise Richness and Evenness (2006, background): “…S, the Shannon diversity index H, the Simpson diversity index D 1 and the Berger–Parker diversity index d 1 (Magurran 1988; Legendre and Legendre 1998; Shaw 2003): H0 ¼ lnðSÞ H1 ¼ H ¼ X pi log pi H2 ¼ lnðD 1Þ ¼ ln X ðp2i Þ 1 H1 ¼ lnðd 1Þ ¼ lnðp 1maxÞ Community A is more diverse than a…”