Open Science Research Excellence
@article{(International Science Index):,
  title    = {Principal Component Analysis for the Characterization in the Application of Some Soil Properties},
  author    = {Kamolchanok Panishkan and  Kanokporn Swangjang and  Natdhera Sanmanee and  Daoroong Sungthong},
  country   = {},
  abstract  = {The objective of this research is to study principal
component analysis for classification of 67 soil samples collected from
different agricultural areas in the western part of Thailand. Six soil
properties were measured on the soil samples and are used as original
variables. Principal component analysis is applied to reduce the
number of original variables. A model based on the first two
principal components accounts for 72.24% of total variance. Score
plots of first two principal components were used to map with
agricultural areas divided into horticulture, field crops and wetland.
The results showed some relationships between soil properties and
agricultural areas. PCA was shown to be a useful tool for agricultural
areas classification based on soil properties.},
    journal   = {International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering},  volume    = {6},
  number    = {5},
  year      = {2012},
  pages     = {279 - 281},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 65, 2012},