research-article

Using data mining techniques for predicting individual tree mortality in tropical rain forest: logistic regression and decision trees approach

Authors:

Khorn SaretAuthors Info & Claims

ICUIMC '14: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication

Article No.: 91, Pages 1 - 5

https://doi.org/10.1145/2557977.2557989

Published: 09 January 2014 Publication History

Abstract

Tree mortality is an essential process in forest ecosystem dynamics. It is one of the least understood phenomena due to species-rich in tropical rain forests. Individual tree mortality model was developed for predicting the probability of mortality in dipterocarpaceae tree family group in Koh Kong province, Cambodia. Finding appropriate methods for modeling mortality have often proved to be a difficult challenge. Two data mining methods were performed in this study; logistic regression and decision trees. Chi-squared Automatic Interaction Detector (CHAID) method was chosen for decision trees method since it always chooses the independent variable that has the strongest relation with the dependent variable. The probability of mortality decreased with increasing individual tree basal area. The performance of each model from both methods was compared using calibration (chi-test) and discrimination (area under receiver-operating characteristic curve or c-index). The study presented that logistic regression outperformed decision trees for both calibration and discrimination. The model developed is expected to improve the accuracy of the stand forecast.

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Cited By

Yahya YIsmail R(2020)Tree-mapping Technique as a Computer System for Sustainable Forest Management2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM48794.2020.9001695(1-6)Online publication date: Jan-2020
https://doi.org/10.1109/IMCOM48794.2020.9001695
Yahya YIsmail R(2019)Randomized Technique to Determine the New Seedlings for Simulation of Population DynamicProceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 201910.1007/978-3-030-19063-7_57(711-722)Online publication date: 23-May-2019
https://doi.org/10.1007/978-3-030-19063-7_57
Yahya YIsmail R(2018)Using Uncertainty of Bayesian Theorem to Predict Mortality of Tree in Forest Growth Simulation SystemProceedings of the 12th International Conference on Ubiquitous Information Management and Communication10.1145/3164541.3164622(1-5)Online publication date: 5-Jan-2018
https://dl.acm.org/doi/10.1145/3164541.3164622

Index Terms

Using data mining techniques for predicting individual tree mortality in tropical rain forest: logistic regression and decision trees approach
1. Mathematics of computing
  1. Probability and statistics

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cover image ACM Conferences

ICUIMC '14: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication

January 2014

757 pages

ISBN:9781450326445

DOI:10.1145/2557977

Conference Chairs:
Dongsoo S. Kim
Indiana University
,
Sang-Wook Kim
Hanyang University, Korea
,
General Chairs:
Suk-Han Lee
Sungkyunkwan University
,
Korea Lajos Hanzo
University of Southampton, UK
,
Roslan Ismail
Universiti Kuala Lumpur, Malaysia

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAPP: ACM Special Interest Group on Applied Computing
SKKU: SUNGKYUNKWAN UNIVERSITY

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Published: 09 January 2014

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ICUIMC '14: The 8th International Conference on Ubiquitous Information Management and Communication

January 9 - 11, 2014

Siem Reap, Cambodia

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ICUIMC '14 Paper Acceptance Rate 116 of 407 submissions, 29%;

Overall Acceptance Rate 251 of 941 submissions, 27%

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Cited By

Yahya YIsmail R(2020)Tree-mapping Technique as a Computer System for Sustainable Forest Management2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM48794.2020.9001695(1-6)Online publication date: Jan-2020
https://doi.org/10.1109/IMCOM48794.2020.9001695
Yahya YIsmail R(2019)Randomized Technique to Determine the New Seedlings for Simulation of Population DynamicProceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 201910.1007/978-3-030-19063-7_57(711-722)Online publication date: 23-May-2019
https://doi.org/10.1007/978-3-030-19063-7_57
Yahya YIsmail R(2018)Using Uncertainty of Bayesian Theorem to Predict Mortality of Tree in Forest Growth Simulation SystemProceedings of the 12th International Conference on Ubiquitous Information Management and Communication10.1145/3164541.3164622(1-5)Online publication date: 5-Jan-2018
https://dl.acm.org/doi/10.1145/3164541.3164622

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