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Gertrude David
Universiti Malaysia Terengganu
Computer Science & IT Electrical & Electronics Engineering

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Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape Salwana Mohamad Asmara; Gertrude David; Mohd Tajuddin Abdullah; Wan Isni Sofiah Wan Din; Danakorn Nincarean a/l Eh Phon; Ahmad Firdaus Zainal Abidin
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 6: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (948.413 KB) | DOI: 10.11591/ijece.v9i6.pp5235-5243

Abstract

Identifying which biodiversity species are more dominant than others in any area is a very challenging task. This is because of the abundant of biodiversity species that may become the majority species in any particular region. This situation create a large dataset with a complex variables to be analysed. Moreover, the responds of organisms and environmental factors are occurred in a non-linear correlation. The effort to do so is really important in order to conserve the biodiversity of nature. To understand the complex relationships that exist between species distribution and their habitat, we analysed the interactions among bird diversity, spatial distribution and land use types at Kenyir landscape in Terengganu, Malaysia by using artificial neural network (ANN) method of self-organizing map (SOM) analysis. SOM performs an unsupervised and non-linear analysis on a complex and large dataset. It is capable to handle the non-linear correlation between organism and environmental factors because SOM identifies clusters and relationships between variables without the fixed assumptions of linearity or normality. The result suggested that SOM analysis was suited for understanding the relationships between bird species assemblages and habitat characteristics.
Co-Authors Ahmad Firdaus Zainal Abidin Danakorn Nincarean a/l Eh Phon Mohd Tajuddin Abdullah Salwana Mohamad Asmara Wan Isni Sofiah Wan Din