التفاصيل البيبلوغرافية
| العنوان: |
MERRA/Max use case scenarios. |
| المؤلفون: |
John L. Schnase (10225067), Mark L. Carroll (10225070) |
| سنة النشر: |
2022 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Evolutionary Biology, Ecology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, yield near real, variable selection step, peucaea cassinii <, monte carlo optimization, foster exploratory experimentation, era retrospective analysis, enables direct use, div >< p, automatic variable selection, also selected biologically, species occurrence file, large data sets, feature selection approach, ecological niche modeling, 19 environmental variables, ecologically plausible predictors, randomly selected variables, applications version 2, top contributing predictors, top predictors, max selected, technological approach, target species, large collection, modeling system |
| الوصف: |
Figure shows the results of two use cases involving Cassin’s Sparrow observational data and predictor data sets of contrasting size and complexity: the Bioclim collection with N = 19 variables (A) and a MERRA-2 reanalysis test collection comprising N = 86 variables (B). A Variable Screening step was used in each scenario to select the top six contributing variables in the underlying collection. Correlated variables (indicated with red text and yellow highlight) were identified in a Predictor Refinement step and thinned to reduce collinearities. In a third step, Model Calibration and a Final Model Run were performed with the remaining non-correlated variables (green highlight). AICc is Akaike’s information criterion corrected for small sample size, AUC is area under the receiver operating characteristic curve, PCC is percent correctly classified, TSS is True Skill Statistic, Parameters is MaxEnt’s measure of model complexity, r is Pearson’s correlation coefficient, r 2 is the coefficient of determination, and VIF is variable inflation factor. The estimated minimum run time (T min ) for a completely parallel screening is shown in parentheses. Maps created by the authors show MaxEnt logistic output, which can be interpreted as an estimate of habitat suitability between 0 and 1 with warmer colors indicating better predicted conditions for the species. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/figure/MERRA_Max_use_case_scenarios_/18861077 |
| DOI: |
10.1371/journal.pone.0257502.g003 |
| الاتاحة: |
https://doi.org/10.1371/journal.pone.0257502.g003 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.9575DFED |
| قاعدة البيانات: |
BASE |