Course Syllabus:
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Mar 30::
Before Class:
Over break
look at https://usanpn.org/ and http://plantsmap.com/
Review these informations sheets (map & table) about the trees on the Oakland Campus.

Assignment 2::
2a) Visit one tree on the Oakland campus that is also on this map. Consider the categories for observation, and perhaps add some of your own. - leaf color/ health, number of branches, size, animals, humans and insects observed, etc. Make a list, label as A2a_lastname_firstname.filetype
2b) Consider how this list of data could be visualized. How would the data need to be massaged to created an informative visual? Do a sketch in a vector program or in Processing demonstrating your ideas. Another option besides the above is to download some of the raw data (from this link) and manipulate it as a csv file in processing.... Label file/s A2b_lastname_firstname.filetype
Upload all work to google drive

** please note (3/29)** in order to see data from CCA Nature's Notebook, you will need to "become an observer" via the link on this page and set up an account -- when registering, under partner groups> colleges and universities, select "CCA Phenology Project."

In class:
Review A2:
- generate quantifiable data sets to use in order to visualize information
- look at your observations. how might this be turned into data sets?
- for the tree you looked at, list the observable data. for each data type, what kind of variable could store this information? how would you visualize each kind of data?
- list other observable elements. What changes & exchanges (insects, animals, humans) and what are more consistent environmental factors (wind, sunlight, moisture, etc.)? How could we store this in a CSV file and use it later on?
- work out some basic visuals for how we could work with this data.
- work on loading some data from a CSV file into Processing.
zip up all class work, upload to google drive and label c9_lastname_firstname.zip. continue to work on this for next week.