TY - GEN
T1 - Issues Related to Modelling and Parameter Settings of Models for Ecological Systems the Case of Distribution of Thorny Devil
AU - Zhao, Yuting
AU - Romero, Julio
AU - Mohammadian, Masoud
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Ecological modelling is a kind of important framework applied in environmental protection decision-making and strategies generation. The data sets used for ecological systems are complex and mega, and the elements to affect modelling are multiple and complex. Optimizing ecological species modelling is difficult. Configuration selection is one step in ecological modelling, which might improve models. Researchers need to understand the importance of configuration selection, which require more investigation in this area. The purpose of this paper is to advance Thorny Devil distribution modelling by evaluating and providing several modelling techniques with robustness criteria operation framework to improve the modelling of Thorny Devil distribution in Australia. This paper provides the results of several models for Thorny Devil distribution models and compares the results of these models. It also discusses which models would be more suitable for a field-based implementation, based on the parameters set. It also provides more references for configuration selection strategies.
AB - Ecological modelling is a kind of important framework applied in environmental protection decision-making and strategies generation. The data sets used for ecological systems are complex and mega, and the elements to affect modelling are multiple and complex. Optimizing ecological species modelling is difficult. Configuration selection is one step in ecological modelling, which might improve models. Researchers need to understand the importance of configuration selection, which require more investigation in this area. The purpose of this paper is to advance Thorny Devil distribution modelling by evaluating and providing several modelling techniques with robustness criteria operation framework to improve the modelling of Thorny Devil distribution in Australia. This paper provides the results of several models for Thorny Devil distribution models and compares the results of these models. It also discusses which models would be more suitable for a field-based implementation, based on the parameters set. It also provides more references for configuration selection strategies.
KW - Configuration
KW - Model optimization
KW - Performance evaluation
KW - Species distribution modelling
KW - Throny devil
UR - http://www.scopus.com/inward/record.url?scp=85129376434&partnerID=8YFLogxK
UR - https://amity.edu/iciptm2022/
U2 - 10.1109/ICIPTM54933.2022.9754199
DO - 10.1109/ICIPTM54933.2022.9754199
M3 - Conference contribution
AN - SCOPUS:85129376434
SN - 9781665466448
VL - 2
T3 - Proceedings of 2nd International Conference on Innovative Practices in Technology and Management, ICIPTM 2022
SP - 669
EP - 674
BT - Proceedings of 2nd International Conference on Innovative Practices in Technology and Management, ICIPTM 2022
A2 - Chaudhary, Naina
A2 - Avdhesh Yadav, Suman
A2 - Vikram Singh, Shubhranshu
A2 - Chaturvedi, Prateek
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - United States
T2 - 2nd International Conference on Innovative Practices in Technology and Management, ICIPTM 2022
Y2 - 23 February 2022 through 25 February 2022
ER -
