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Jean-Pierre Rossi - Blog | A blog about forest insects, R, GRASS, LaTeX and the likes

A blog about forest insects, R, GRASS, LaTeX and the likes

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Jean-Pierre Rossi - Blog | A blog about forest insects, R, GRASS, LaTeX and the likes | rossijeanpierre.wordpress.com Reviews

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A blog about forest insects, R, GRASS, LaTeX and the likes

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Managing missing values in ggene | Jean-Pierre Rossi - Blog

https://rossijeanpierre.wordpress.com/2016/09/03/managing-missing-values-in-ggene

Jean-Pierre Rossi – Blog. A blog about forest insects, R, GRASS, LaTeX and the likes. Managing missing values in ggene. Managing missing values in ggene. Missing values is a big problem because they are so common in microsatellite datasets that removing them sometimes amounts to loose all the information (individuals or alleles). Cannot handle NAs and thus users must remove individuals/alleles with missing data or convert them to something else! We define below two functions. Of a ggene object:. Leave a ...

2

Geostatistics with genetic data : the R package ggene (part 3: anisotropy) | Jean-Pierre Rossi - Blog

https://rossijeanpierre.wordpress.com/2016/09/04/geostatistics-with-genetic-data-the-r-package-ggene-part-3-anisotropy

Jean-Pierre Rossi – Blog. A blog about forest insects, R, GRASS, LaTeX and the likes. Geostatistics with genetic data : the R package ggene (part 3: anisotropy). Geostatistics with genetic data : the R package ggene (part 3: anisotropy). We illustrate here how the package. Can be used to compute directional variograms and variogram maps. Computes omnidirectional variograms by default. The arguments. Define the main direction, the tolerance and the unit of measure for the angle. Compute variograms in diff...

3

Geostatistics with genetic data : the R package ggene (part 2: variogram envelop) | Jean-Pierre Rossi - Blog

https://rossijeanpierre.wordpress.com/2016/09/02/geostatistics-with-genetic-data-the-r-package-ggene-part-2-variogram-envelop

Jean-Pierre Rossi – Blog. A blog about forest insects, R, GRASS, LaTeX and the likes. Geostatistics with genetic data : the R package ggene (part 2: variogram envelop). Geostatistics with genetic data : the R package ggene (part 2: variogram envelop). In this second item of a set of posts introducing the package. We address how departure form spatial randomness can be examined. We illustrate this feature using the dataset. First we load the dataset and have a look at the sampling design. Compute variogra...

4

Geostatistics with genetic data : the R package ggene (part 1) | Jean-Pierre Rossi - Blog

https://rossijeanpierre.wordpress.com/2016/09/01/geostatistics-with-genetic-data-the-r-package-ggene-part-1

Jean-Pierre Rossi – Blog. A blog about forest insects, R, GRASS, LaTeX and the likes. Geostatistics with genetic data : the R package ggene (part 1). Geostatistics with genetic data : the R package ggene (part 1). Geostatistics is a branch of statistics focusing on spatial and spatiotemporal analyses. It was originally developed in mining geology and slowly percolated in numerous fields of life sciences such as soil science, soil ecology, oceanography and many more. The purpose of the present post is to ...

5

When Google Street View helps studying species geographical distribution | Jean-Pierre Rossi - Blog

https://rossijeanpierre.wordpress.com/2013/10/10/when-google-street-view-helps-studying-species-geographical-distribution

Jean-Pierre Rossi – Blog. A blog about forest insects, R, GRASS, LaTeX and the likes. When Google Street View helps studying species geographical distribution. When Google Street View helps studying species geographical distribution. A pine processionary moth silk nest. Photo by Jérôme rousselet. Obviously, only organisms that can be reliably detected by road sampling can be assessed using street imagery. We have recently published our first results [ Rousselet et al 2013 PLOS ONE e74918. Rousselet, J&#4...

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