Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique

Soil erosion issue in Cameron Highland has caused landslide, mudflow, river bank erosion and contamination of drinking water. This study is focused on predicting the location of soil erosion in the study area using decision tree technique. The selected causative factors are length slope (LS), normal...

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Main Author: bt Wan Yahya, Wan Nur Syahirah
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.18111 /
Published: Universiti Teknologi PETRONAS 2018
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access: http://utpedia.utp.edu.my/18111/1/1.%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/18111/
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spelling utp-utpedia.181112018-11-22T14:38:11Z http://utpedia.utp.edu.my/18111/ Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique bt Wan Yahya, Wan Nur Syahirah TA Engineering (General). Civil engineering (General) Soil erosion issue in Cameron Highland has caused landslide, mudflow, river bank erosion and contamination of drinking water. This study is focused on predicting the location of soil erosion in the study area using decision tree technique. The selected causative factors are length slope (LS), normalized difference vegetation index (NDVI), land surface temperature (LST), erosivity (R), drainage density (DD) and lineament density (LD). Based on selected causative factors, maps of CF’s were produced by using ArcGIS software. Data extracted from all six the causative factors mapping were trained and tested in WEKA. In WEKA, there are many types of decision trees that could be used to analyze data. Among the type of decision trees available are decision stump, Hoeffding tree, J48, LMT, M5P, random forest, random tree and REP tree. For this study, the result was obtained by using the random forest method. The outcome of this study shows good result. The correlation coefficient in the result summary table indicates the reliability of the run analysis. It indicates the explanatory power of the analysis. As for the training and testing result, such values of coefficient of correlation show successful run. Universiti Teknologi PETRONAS 2018-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/18111/1/1.%20Final%20Dissertation.pdf bt Wan Yahya, Wan Nur Syahirah (2018) Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
bt Wan Yahya, Wan Nur Syahirah
Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique
description Soil erosion issue in Cameron Highland has caused landslide, mudflow, river bank erosion and contamination of drinking water. This study is focused on predicting the location of soil erosion in the study area using decision tree technique. The selected causative factors are length slope (LS), normalized difference vegetation index (NDVI), land surface temperature (LST), erosivity (R), drainage density (DD) and lineament density (LD). Based on selected causative factors, maps of CF’s were produced by using ArcGIS software. Data extracted from all six the causative factors mapping were trained and tested in WEKA. In WEKA, there are many types of decision trees that could be used to analyze data. Among the type of decision trees available are decision stump, Hoeffding tree, J48, LMT, M5P, random forest, random tree and REP tree. For this study, the result was obtained by using the random forest method. The outcome of this study shows good result. The correlation coefficient in the result summary table indicates the reliability of the run analysis. It indicates the explanatory power of the analysis. As for the training and testing result, such values of coefficient of correlation show successful run.
format Final Year Project
author bt Wan Yahya, Wan Nur Syahirah
author_sort bt Wan Yahya, Wan Nur Syahirah
title Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique
title_short Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique
title_full Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique
title_fullStr Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique
title_full_unstemmed Geospatial Prediction of Soil Erosion in Cameron Highlands Using Decision Tree Technique
title_sort geospatial prediction of soil erosion in cameron highlands using decision tree technique
publisher Universiti Teknologi PETRONAS
publishDate 2018
url http://utpedia.utp.edu.my/18111/1/1.%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/18111/
_version_ 1741195296482787328
score 11.62408

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