Abstract
Although the system dynamics (SD) modeling approach has been used frequently to model various systems, there is little research on the development of hybrid SD–individual-oriented (IO) modeling. The aim of this study is to demonstrate the use of an array variable for the hybrid SD–IO modeling approach using the SD platform, and to provide a detailed modeling process of an algae–daphnid system consisting of two freshwater algal species and Daphnia. Our study showed that the array variable in the SD approach is useful for modeling multiple individuals and as a function to control the switch and integration variable for the hybrid modeling approach. The proposed method can improve the usability of hybrid modeling by enabling hybrid SD–IO modeling without requiring extensive knowledge of programming. Given the ongoing development and advancement of the SD modeling approach, this modeling technique will be a useful method to study complex systems.
| Original language | English |
|---|---|
| Pages (from-to) | 23-35 |
| Number of pages | 13 |
| Journal | Environmental Modelling and Software |
| Volume | 112 |
| DOIs | |
| Publication status | Published - 2019 Feb 1 |
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Keywords
- Array variable
- Individual-based modeling dynamic energy budget
- Individual-oriented modeling
- System dynamics
ASJC Scopus subject areas
- Software
- Environmental Engineering
- Ecological Modelling
Cite this
Integration of an individual-oriented model into a system dynamics model : An application to a multi-species system. / Kim, Yongeun; Son, Jino; Lee, Yun Sik; Lee, Minyoung; Hong, Jinsol; Cho, Ki Jong.
In: Environmental Modelling and Software, Vol. 112, 01.02.2019, p. 23-35.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Integration of an individual-oriented model into a system dynamics model
T2 - An application to a multi-species system
AU - Kim, Yongeun
AU - Son, Jino
AU - Lee, Yun Sik
AU - Lee, Minyoung
AU - Hong, Jinsol
AU - Cho, Ki Jong
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Although the system dynamics (SD) modeling approach has been used frequently to model various systems, there is little research on the development of hybrid SD–individual-oriented (IO) modeling. The aim of this study is to demonstrate the use of an array variable for the hybrid SD–IO modeling approach using the SD platform, and to provide a detailed modeling process of an algae–daphnid system consisting of two freshwater algal species and Daphnia. Our study showed that the array variable in the SD approach is useful for modeling multiple individuals and as a function to control the switch and integration variable for the hybrid modeling approach. The proposed method can improve the usability of hybrid modeling by enabling hybrid SD–IO modeling without requiring extensive knowledge of programming. Given the ongoing development and advancement of the SD modeling approach, this modeling technique will be a useful method to study complex systems.
AB - Although the system dynamics (SD) modeling approach has been used frequently to model various systems, there is little research on the development of hybrid SD–individual-oriented (IO) modeling. The aim of this study is to demonstrate the use of an array variable for the hybrid SD–IO modeling approach using the SD platform, and to provide a detailed modeling process of an algae–daphnid system consisting of two freshwater algal species and Daphnia. Our study showed that the array variable in the SD approach is useful for modeling multiple individuals and as a function to control the switch and integration variable for the hybrid modeling approach. The proposed method can improve the usability of hybrid modeling by enabling hybrid SD–IO modeling without requiring extensive knowledge of programming. Given the ongoing development and advancement of the SD modeling approach, this modeling technique will be a useful method to study complex systems.
KW - Array variable
KW - Individual-based modeling dynamic energy budget
KW - Individual-oriented modeling
KW - System dynamics
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UR - http://www.scopus.com/inward/citedby.url?scp=85059314601&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2018.11.009
DO - 10.1016/j.envsoft.2018.11.009
M3 - Article
VL - 112
SP - 23
EP - 35
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
SN - 1364-8152
ER -