Soil Classification based on their Chemical Composition using Principal Component Analysis

Principal component analysis (PCA), was used to group of 54 soil samples collected from different agricultural locations in the western part of Thailand. Soil chemical compositions were measured by Scanning Electron Microscope (SEM) and Energy Dispersive X-ray Microanalysis (EDX). The basic result i...

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Main Author: Kamolchanok Panishkan
Format: Article
Language:English
Published: Thai Society of Higher Eduction Institutes on Environment 2010-01-01
Series:EnvironmentAsia
Subjects:
Online Access:http://www.tshe.org/ea/pdf/vol3%20no1%20p47-52.pdf
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author Kamolchanok Panishkan
author_facet Kamolchanok Panishkan
author_sort Kamolchanok Panishkan
collection DOAJ
description Principal component analysis (PCA), was used to group of 54 soil samples collected from different agricultural locations in the western part of Thailand. Soil chemical compositions were measured by Scanning Electron Microscope (SEM) and Energy Dispersive X-ray Microanalysis (EDX). The basic result indicated decreased amount of O, Si, Al, Fe, C, K, Mg, Ca, Ti and Na. The first three principal components were used and accounted for 44.0%, 19.5% and 15.0% of total variation of the data, respectively. Score plots of first three principal components were used to map with soil textures classified as clay, clay loam and medium loam. The results showed some relationships between chemical contents and soil textures. PCA was shown to be a useful tool for soil texture classification based on their chemical compositions.
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spelling doaj.art-9fd3056be2f047a5a7a64b7180f6d96d2022-12-21T20:04:25ZengThai Society of Higher Eduction Institutes on EnvironmentEnvironmentAsia1906-17142010-01-01314752Soil Classification based on their Chemical Composition using Principal Component AnalysisKamolchanok PanishkanPrincipal component analysis (PCA), was used to group of 54 soil samples collected from different agricultural locations in the western part of Thailand. Soil chemical compositions were measured by Scanning Electron Microscope (SEM) and Energy Dispersive X-ray Microanalysis (EDX). The basic result indicated decreased amount of O, Si, Al, Fe, C, K, Mg, Ca, Ti and Na. The first three principal components were used and accounted for 44.0%, 19.5% and 15.0% of total variation of the data, respectively. Score plots of first three principal components were used to map with soil textures classified as clay, clay loam and medium loam. The results showed some relationships between chemical contents and soil textures. PCA was shown to be a useful tool for soil texture classification based on their chemical compositions.http://www.tshe.org/ea/pdf/vol3%20no1%20p47-52.pdfprincipal component analysisagricultural soilsThailand
spellingShingle Kamolchanok Panishkan
Soil Classification based on their Chemical Composition using Principal Component Analysis
EnvironmentAsia
principal component analysis
agricultural soils
Thailand
title Soil Classification based on their Chemical Composition using Principal Component Analysis
title_full Soil Classification based on their Chemical Composition using Principal Component Analysis
title_fullStr Soil Classification based on their Chemical Composition using Principal Component Analysis
title_full_unstemmed Soil Classification based on their Chemical Composition using Principal Component Analysis
title_short Soil Classification based on their Chemical Composition using Principal Component Analysis
title_sort soil classification based on their chemical composition using principal component analysis
topic principal component analysis
agricultural soils
Thailand
url http://www.tshe.org/ea/pdf/vol3%20no1%20p47-52.pdf
work_keys_str_mv AT kamolchanokpanishkan soilclassificationbasedontheirchemicalcompositionusingprincipalcomponentanalysis