Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review.

The objective of this study was to apply multivariate techniques, canonical discriminant analysis, and multivariate contrasts, indicating the most favorable inferences in the

Este trabalho parte do princípio da utilização de nanopartículas de Ouro (AuNPs), previamente sintetizadas e padronizadas, para o estudo da influência de concentrações de

In these cases, we can make use of multivariate analysis techniques, such as Factor Analysis (FA) and/or Principal Component Analysis (PCA), to reduce a complex data set to one

Integrated approach (Figure 1) of remote sensing and geographic information system such as image classification, change detection techniques, spatial metrics and land use

Once validated, the model was used with the same driving forces and the same prediction time difference (11 years) using 1984 and 2014 ’s LCLU maps to predict the LCLU map of

The designation multivariate analysis represents a large number of methods and techniques that simultaneously use all variables in the analysis, interpretation and processing of

ABSTRACT : This study aimed to use multivariate techniques of principal component analysis and canonical discriminant analysis in a data set from Morada Nova sheep carcass to

The multivariate data analysis is an efficient approach to analyze large data of apple qualitative phenotypic traits and is considered the most suitable to identify patterns