The rapid rise of online biodiversity collections repositories like GBIF and citizen science initiatives like iNaturalist have enabled amazing advancements in evolutionary biology, biogeography, and conservation. Nonetheless, straightforward analysis of specimen and observational data is frequently encumbered by inaccuracies. As a result, these data must always be “cleaned” before use, but steps in cleaning procedures and common but hidden pitfalls along the way are challenging to address.
In this webinar we provide entry points for going from ‘download to data’ for all kinds of specimen/observational data (animal, plant, fungi, etc.), including:
- Online biodiversity specimen repositories and differences between them, including tips and tricks for downloading biodiversity data
- A reproducible, transparent workflow for ensuring:
- Taxonomic integrity (taxonomic name resolution)
- Temporal accuracy (dates, collectors)
- A full account of geographic location uncertainty (georeferencing, coordinate precision versus uncertainty)
- How to report these procedures in publications
Please join us for this free webinar organized by researchers at the Missouri Botanical Garden!
When:
April 9th, 2020, from 1 to 2:30 pm Central Standard Time.
Registration (free but limited):
https://zoom.us/webinar/register/WN_ZxJtWZJpSoWyFLlv9K2–g.
All materials including data files and tutorials (also available below) (183 MB – last updated 1 January 2020)
- Exercise 00 Getting Started in R
- Exercise 01 Obtaining and Cleaning Biodiversity Data
- Exercise 02 Choosing a Study Region
- Exercise 03 Obtaining and Formatting Environmental Variables
- Exercise 04 Clipping Environmental Rasters to the Study Region
- Exercise 05 Match Records to Environment and Scrutinize for Outliers
- Exercise 06 Predictors: Automated vs Thoughtful Selection
- Exercise 07 Maxent
- Exercise 08 Bias Correction
- Exercise 09 Model Tuning
- Exercise 10 Model Evaluation: Metrics
- Exercise 11 Model Evaluation: Cross-Validation
- Exercise 12 Projecting to Different Time Periods or Regions
- Exercise 13 Niche versus Distribution Modeling
- Exercise 14 Other Algorithms
Past workshops
Ecological Society of America, August 2018
Society for Conservation Biology, July 2016
Wichita State University, May, 2016
Kansas State University, February, 2016
Kansas State University, 2012
Missouri Botanical Garden, 2012
Society for Conservation Biology, 2012
“The Species-area Relationship (SAR) in Conservation Biology” Lecture in Stan Braude’s conservation biology course, Washington University in St. Louis, 2011 and 2012.
- Handout (pdf)