Review March 4

[iamciera]

Ollie

Part 1

• Include a bit more about why you decided to explore the idigbio database.
• I really like this comment: "#Called it 'blessed' because it took hours of frustration to get here." It's funny. You should explain this cell a bit more though. What is going on here? What are these loops doing?

Part 2

• I think you should introduce the map function a bit more and give a reason for why you are mapping all the bear specimens. Do you just want to get a broad overview of what is available? You can simply say that.
• I would start looking at the species in the bear data or start looking in the MVZ and start finding patterns in that. You could ask a number of questions about this.
• Overall this part of seems to be focusing on the idigbio python package. You could add a bit more about what this does, show more functionality.

[odowns]

Things I want to look at:

• Mapping with QGIS instead of on a jupyter notebook
• Make a gif of collections through time: look at species that have gone extinct since collection began, species just discovered, and species which have been visibly impacted by global climate change
• Statistical tests on the data...?
• Use outside data about interactions, gene data
• What other things can we do with the data? (what other information is stored in the json outputs that we can use?)
• Do everything in R
• Predicting location of next specimen - k nearest neighbors
• Map specimens vs permit areas?
• Map specimens vs countries with different rules about collections?
• Write a nice function that gives a full report of a species
• How to merge data with other data? use Arctos, movebank, ???
• What does this data mean? How does it impact humanity? What are the human contexts? Ethics?
• Pick a dataset and go from there