Habitat Prediction and Knowledge Extraction from Musa gracilis Holttum with Limited Data
Species distribution models are a powerful tool to predict suitability map addressing ecology and conservation, especially of rare species. However, the limited occurrence data often decrease the performances of the prediction models. In this research, the Random Forest with Fuzzy selection of pseud...
Saved in:
Main Authors: | Thanayut Changruenngam, Sasivimon Chomchalow Swangpol, Jantrararuk Tovaranonte |
---|---|
Other Authors: | Mae Fah Luang University |
Format: | Article |
Published: |
2022
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/73248 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
Similar Items
-
Habitat Prediction and Knowledge Extraction from Musa gracilis Holttum with Limited Data
by: Changruenngam T.
Published: (2023) -
Musa nanensis, a New Banana (Musaceae) Species from Northern Thailand
by: Sasivimon Chomchalow Swangpol, et al.
Published: (2018) -
Floral visitors of Kluai Bua Si Som (Musa rubra - Musaceae): An ornamental plant in Thailand
by: W. Nilapaka, et al.
Published: (2021) -
Cross-habitat predation in Nepenthes gracilis: The red crab spider Misumenops nepenthicola influences abundance of pitcher dipteran larvae
by: Ling Chua, T.J., et al.
Published: (2014) -
Utility of selected non-coding chloroplast DNA sequences for lineage assessment of Musa interspecific hybrids
by: Sasivimon Swangpol, et al.
Published: (2018)