STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1
ABSTRACT Soil is a dynamic and complex system that requires a considerable number of samples for analysis and research purposes. Using multivariate statistical methods, favorable conditions can be created by analyzing the samples, i.e., structural reduction and simplification of the data. The objective of this study was to use multivariate statistical analysis, including factorial analysis (FA) and hierarchical groupings, for the environmental characterization of soils in semiarid regions, considering anthropic (land use and occupation) and topographic aspects (altitude, moisture, granulometry, PR, and organic-matter content). As a case study, the São José Hydrographic Microbasin, which is located in the Cariri region of Ceará, was considered. An FA was performed using the principal component method, with normalized varimax rotation. In hierarchical grouping analysis, the “farthest neighbor” method was used as the hierarchical criterion for grouping, with the measure of dissimilarity given by the “square Euclidean distance.” The FA indicated that two factors explain 75.76% of the total data variance. In the analysis of hierarchical groupings, the samples were agglomerated in three groups with similar characteristics: one with samples collected in an area of the preserved forest and two with samples collected in areas with more anthropized soils. This indicates that the statistical tool used showed sensitivity to distinguish the most conserved soils and soils with different levels of anthropization.
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Universidade Federal Rural do Semi-Árido
2019
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oai:scielo:S1983-212520190001002002019-05-06STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1Oliveira Júnior,Antônio Italcy deMendonça,Luiz Alberto RibeiroFontenele,Sávio de BritoAraújo,Adriana OliveiraBrito,Maria Gorethe de Sousa Lima Factor analysis Cluster analysis Soil variables ABSTRACT Soil is a dynamic and complex system that requires a considerable number of samples for analysis and research purposes. Using multivariate statistical methods, favorable conditions can be created by analyzing the samples, i.e., structural reduction and simplification of the data. The objective of this study was to use multivariate statistical analysis, including factorial analysis (FA) and hierarchical groupings, for the environmental characterization of soils in semiarid regions, considering anthropic (land use and occupation) and topographic aspects (altitude, moisture, granulometry, PR, and organic-matter content). As a case study, the São José Hydrographic Microbasin, which is located in the Cariri region of Ceará, was considered. An FA was performed using the principal component method, with normalized varimax rotation. In hierarchical grouping analysis, the “farthest neighbor” method was used as the hierarchical criterion for grouping, with the measure of dissimilarity given by the “square Euclidean distance.” The FA indicated that two factors explain 75.76% of the total data variance. In the analysis of hierarchical groupings, the samples were agglomerated in three groups with similar characteristics: one with samples collected in an area of the preserved forest and two with samples collected in areas with more anthropized soils. This indicates that the statistical tool used showed sensitivity to distinguish the most conserved soils and soils with different levels of anthropization.info:eu-repo/semantics/openAccessUniversidade Federal Rural do Semi-ÁridoRevista Caatinga v.32 n.1 20192019-03-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-21252019000100200en10.1590/1983-21252019v32n120rc |
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Oliveira Júnior,Antônio Italcy de Mendonça,Luiz Alberto Ribeiro Fontenele,Sávio de Brito Araújo,Adriana Oliveira Brito,Maria Gorethe de Sousa Lima |
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Oliveira Júnior,Antônio Italcy de Mendonça,Luiz Alberto Ribeiro Fontenele,Sávio de Brito Araújo,Adriana Oliveira Brito,Maria Gorethe de Sousa Lima STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1 |
author_facet |
Oliveira Júnior,Antônio Italcy de Mendonça,Luiz Alberto Ribeiro Fontenele,Sávio de Brito Araújo,Adriana Oliveira Brito,Maria Gorethe de Sousa Lima |
author_sort |
Oliveira Júnior,Antônio Italcy de |
title |
STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1 |
title_short |
STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1 |
title_full |
STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1 |
title_fullStr |
STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1 |
title_full_unstemmed |
STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1 |
title_sort |
statistical multivariate analysis applied to environmental characterization of soil in semiarid region1 |
description |
ABSTRACT Soil is a dynamic and complex system that requires a considerable number of samples for analysis and research purposes. Using multivariate statistical methods, favorable conditions can be created by analyzing the samples, i.e., structural reduction and simplification of the data. The objective of this study was to use multivariate statistical analysis, including factorial analysis (FA) and hierarchical groupings, for the environmental characterization of soils in semiarid regions, considering anthropic (land use and occupation) and topographic aspects (altitude, moisture, granulometry, PR, and organic-matter content). As a case study, the São José Hydrographic Microbasin, which is located in the Cariri region of Ceará, was considered. An FA was performed using the principal component method, with normalized varimax rotation. In hierarchical grouping analysis, the “farthest neighbor” method was used as the hierarchical criterion for grouping, with the measure of dissimilarity given by the “square Euclidean distance.” The FA indicated that two factors explain 75.76% of the total data variance. In the analysis of hierarchical groupings, the samples were agglomerated in three groups with similar characteristics: one with samples collected in an area of the preserved forest and two with samples collected in areas with more anthropized soils. This indicates that the statistical tool used showed sensitivity to distinguish the most conserved soils and soils with different levels of anthropization. |
publisher |
Universidade Federal Rural do Semi-Árido |
publishDate |
2019 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-21252019000100200 |
work_keys_str_mv |
AT oliveirajuniorantonioitalcyde statisticalmultivariateanalysisappliedtoenvironmentalcharacterizationofsoilinsemiaridregion1 AT mendoncaluizalbertoribeiro statisticalmultivariateanalysisappliedtoenvironmentalcharacterizationofsoilinsemiaridregion1 AT fontenelesaviodebrito statisticalmultivariateanalysisappliedtoenvironmentalcharacterizationofsoilinsemiaridregion1 AT araujoadrianaoliveira statisticalmultivariateanalysisappliedtoenvironmentalcharacterizationofsoilinsemiaridregion1 AT britomariagorethedesousalima statisticalmultivariateanalysisappliedtoenvironmentalcharacterizationofsoilinsemiaridregion1 |
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1756436172170592256 |