TY - GEN
T1 - Application of SOM to analysis of Minnesota soil survey data
AU - Dhar, Sauptik
AU - Cherkassky, Vladimir
PY - 2011/10/24
Y1 - 2011/10/24
N2 - This paper describes data-analytic modeling of the Minnesota soil chemical data produced by the 2001 metro soil survey. The chemical composition of the soil is characterized by the concentration of many metal and non-metal constituents, resulting in high-dimensional data. This high dimensionality and possible unknown (nonlinear) correlations in the data make it difficult to analyze and interpret using standard statistical techniques. This paper applies Self Organizing Map (SOM), to present the high-dimensional soil data in a 2D format suitable for human understanding and interpretation. This SOM representation enables analysis of the soil chemical concentration trends within the Twin Cities Metropolitan area of Minnesota. These trends are important for various Minnesota regulatory agencies concerned with the concentration of polluting chemical elements due to human activities.
AB - This paper describes data-analytic modeling of the Minnesota soil chemical data produced by the 2001 metro soil survey. The chemical composition of the soil is characterized by the concentration of many metal and non-metal constituents, resulting in high-dimensional data. This high dimensionality and possible unknown (nonlinear) correlations in the data make it difficult to analyze and interpret using standard statistical techniques. This paper applies Self Organizing Map (SOM), to present the high-dimensional soil data in a 2D format suitable for human understanding and interpretation. This SOM representation enables analysis of the soil chemical concentration trends within the Twin Cities Metropolitan area of Minnesota. These trends are important for various Minnesota regulatory agencies concerned with the concentration of polluting chemical elements due to human activities.
KW - Self-organizing maps (SOM)
KW - cluster analysis
KW - geological surveying
KW - pollution
KW - soil chemical survey data
UR - http://www.scopus.com/inward/record.url?scp=80054771125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054771125&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2011.6033280
DO - 10.1109/IJCNN.2011.6033280
M3 - Conference contribution
AN - SCOPUS:80054771125
SN - 9781457710865
T3 - Proceedings of the International Joint Conference on Neural Networks
SP - 633
EP - 639
BT - 2011 International Joint Conference on Neural Networks, IJCNN 2011 - Final Program
T2 - 2011 International Joint Conference on Neural Network, IJCNN 2011
Y2 - 31 July 2011 through 5 August 2011
ER -