Multivarié

Spatial modeling: a comprehensive framework for distance-based eigenvector maps (DBEM)

Couplage de données issues de deux plans d'échantillonnage distincts d'un même espace

Multivariate analysis of incomplete mapped data

Classical multivariate analyses are based on matrix algebra and enable the analysis of a table containing measurements of a set of variables for a set of sites. Incomplete mapped data consist of measurements of a set of variables recorded for the …

Spatial variation in springtime food resources influences the winter body mass of roe deer fawn

It is well established that the dynamics of mammalian populations vary in time, in relation to density and weather, and often in interaction with phenotypic differences (sex, age and social status). Habitat quality has recently been identified as …

Matching data sets from two different spatial samples

Methods for coupling two data sets (species composition and environmental variables for example) are well known and often used in ecology. All these methods require that variables of the two data sets have been recorded at the same sample stations. …

Modelling bovine trypanosomosis spatial distribution by GIS in an agro-pastoral zone of Burkina Faso