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This video details all first steps of your biomod2 modeling, going from formating of your data, to defining of your modeling options, through pseudo-absences and cross-validation datasets.
Chapter | Theme | Timestamp |
---|---|---|
Introduction to the package | 0:00 | |
01. Functions hierarchy | 2:28 | |
DATA. biomod2 example | 3:54 | |
FORMATING DATA | 02. Datasets | 4:14 |
Dataset : 0/1 | 7:07 | |
Dataset : 0/1 + evaluation | 8:21 | |
PSEUDO-ABSENCES | 9:08 | |
03. Pseudo-absences | 9:39 | |
Dataset : only 1 + PA | 13:05 | |
CROSS-VALIDATION | Dataset : 0/1 + CV | 16:35 |
Dataset : only 1 + PA + CV | 18:39 | |
MODELING OPTIONS | 04. Single models : packages | 19:49 |
05. Single models : options | 20:26 | |
Dataset : 0/1 + CV + OPT | 24:48 | |
Dataset : only 1 + PA + CV + OPT | 26:40 |
Chapters can be directly accessed to through timestamps in the video description on YouTube.
This course forms part of the Ecological Niche Modeling 2020 course, a jointly-taught, open-access course designed to provide a broad introduction to the use of niche modeling and distribution modeling tools in the broader field of distributional ecology. - A. Townsend Peterson
biomod2
packagebiomod2
specificities (pseudo-absences, variability)ShinyBiomod
)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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