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Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape

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 da...

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Main Authors: Salwana, Mohamad, David, Gertrude, Mohd Tajuddin, Abdullah, Wan Isni Sofiah, Wan Din, Eh Phon, Danakorn Nincarean, Ahmad Firdaus, Zainal Abidin
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science (IAES) 2019
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/25853/7/Self-organizing%20map%20%28SOM%29%20for%20species%20distribution%20modelling.pdf
http://umpir.ump.edu.my/id/eprint/25853/
http://ijece.iaescore.com/index.php/IJECE/article/view/20549
http://doi.org/10.11591/ijece.v9i6.pp5235-5243
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spelling my.ump.umpir.258532019-10-03T07:41:53Z http://umpir.ump.edu.my/id/eprint/25853/ Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape Salwana, Mohamad David, Gertrude Mohd Tajuddin, Abdullah Wan Isni Sofiah, Wan Din Eh Phon, Danakorn Nincarean Ahmad Firdaus, Zainal Abidin QA75 Electronic computers. Computer science QA76 Computer software 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. Institute of Advanced Engineering and Science (IAES) 2019-12 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/25853/7/Self-organizing%20map%20%28SOM%29%20for%20species%20distribution%20modelling.pdf Salwana, Mohamad and David, Gertrude and Mohd Tajuddin, Abdullah and Wan Isni Sofiah, Wan Din and Eh Phon, Danakorn Nincarean and Ahmad Firdaus, Zainal Abidin (2019) Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape. International Journal of Electrical and Computer Engineering (IJECE), 9 (6). pp. 5235-5243. ISSN 2088-8708 http://ijece.iaescore.com/index.php/IJECE/article/view/20549 http://doi.org/10.11591/ijece.v9i6.pp5235-5243
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Salwana, Mohamad
David, Gertrude
Mohd Tajuddin, Abdullah
Wan Isni Sofiah, Wan Din
Eh Phon, Danakorn Nincarean
Ahmad Firdaus, Zainal Abidin
Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape
description 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.
format Article
author Salwana, Mohamad
David, Gertrude
Mohd Tajuddin, Abdullah
Wan Isni Sofiah, Wan Din
Eh Phon, Danakorn Nincarean
Ahmad Firdaus, Zainal Abidin
author_facet Salwana, Mohamad
David, Gertrude
Mohd Tajuddin, Abdullah
Wan Isni Sofiah, Wan Din
Eh Phon, Danakorn Nincarean
Ahmad Firdaus, Zainal Abidin
author_sort Salwana, Mohamad
title Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape
title_short Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape
title_full Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape
title_fullStr Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape
title_full_unstemmed Self-organizing map (SOM) for species distribution modelling of birds species at Kenyir landscape
title_sort self-organizing map (som) for species distribution modelling of birds species at kenyir landscape
publisher Institute of Advanced Engineering and Science (IAES)
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25853/7/Self-organizing%20map%20%28SOM%29%20for%20species%20distribution%20modelling.pdf
http://umpir.ump.edu.my/id/eprint/25853/
http://ijece.iaescore.com/index.php/IJECE/article/view/20549
http://doi.org/10.11591/ijece.v9i6.pp5235-5243
_version_ 1648741206141698048
score 13.211869

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