Go to Canvas and have a look at the “Coffee With Co-Workers” study
Read the abstract, skim-read the article, and jot down the following:
justification for the study
study population, methods, materials
the main findings
FEMA National Risk Index
When we are communicating about research, we have to tailor how and what we communicate depending on who we are communicating with.
How much time do they have?
How familiar with the subject?
How important are the details?
Rhoda Baer/NIH, Public Domain
thispersondoesnotexist.com
dol.gov/agencies/osec
What’s the headline?
Drawing the eye
Conveying the mood
What are the most pressing points you want to make with your graph?
statista.com
Krzywinski, Martin, and Alberto Cairo. 2013. “Storytelling.” Nature Methods 10 (8): 687–687. https://doi.org/10.1038/nmeth.2571.
Krzywinski, Martin, and Alberto Cairo. 2013. “Storytelling.” Nature Methods 10 (8): 687–687. https://doi.org/10.1038/nmeth.2571
Krzywinski, Martin, and Alberto Cairo. 2013. “Storytelling.” Nature Methods 10 (8): 687–687. https://doi.org/10.1038/nmeth.2571
Krzywinski, Martin, and Alberto Cairo. 2013. “Storytelling.” Nature Methods 10 (8): 687–687. https://doi.org/10.1038/nmeth.2571
It’s easy for the headline to get lost in a data graph. It’s OK to help the audience find it.
https://www.rashdesign.com/blog/2021/9/24/stevewexler
For this exercise, I’ll ask you to avert your eyes prior to the slide being shown.
When the slide is shown, pay attention to where on the image your eyes are drawn first, then second, then third, and so on. They may return to the same place more than once.
https://fineartamerica.com
NY Times
https://itravel81.wordpress.com
Knaflic, Cole Nussbaumer. 2019. Storytelling with Data. New York: Wiley.
Knaflic, Cole Nussbaumer. 2019. Storytelling with Data. New York: Wiley.
buffalo.edu
Lisa Collier/Leeds College of Art
juicyenglish.com
The Setup Draw in the audience, set the scene
The Rise Build the evidence, make the case
The Apex The major finding
The Resolution Call to action, next steps
Spatial data is data related to a location
Spatial data is data related to a location
Location
X position (longitude, easting, etc.)
Y position (latitude, northing, etc.)
Z position (elevation [optional])
Attributes (literally anything else)
Name
ID number
Species
Weight
Color
Condition
Recording method
Vector
Raster
sf
packageThe simple features or sf
package gives R functions for handling vector data and interfacing it with the tidyverse.
sf
packagevernalPools<-st_read("data/GISDATA_CVP_PTPOINT.shp",quiet=TRUE)
vernalPools<-st_zm(vernalPools,drop = TRUE, what = "ZM")
vernalPools
Simple feature collection with 7881 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 34452.43 ymin: 781370.8 xmax: 329087.3 ymax: 958316.4
Projected CRS: NAD83 / Massachusetts Mainland
First 10 features:
cvp_num criteria certified geometry
1 5098 Obligate Species, Fairy Shrimp 2009-05-31 POINT (101876.8 878024.9)
2 4385 Obligate Species 2007-01-08 POINT (124514.6 895968.7)
3 7707 Obligate Species 2016-12-29 POINT (253914.4 830115.9)
4 7627 Obligate Species 2015-08-06 POINT (119130.7 877295.4)
5 1826 Obligate Species 1999-07-15 POINT (188430.5 937917.1)
6 4622 Obligate Species 2007-10-17 POINT (213979.5 863452)
7 6711 Obligate Species 2012-06-11 POINT (271080.4 935932.4)
8 1306 Obligate Species 1997-09-18 POINT (103664 872042.3)
9 6997 Obligate Species 2013-02-27 POINT (238222.5 927072.7)
10 3441 Obligate Species 2004-06-17 POINT (199376.9 865967.6)
sf
packageWorking with vector data in R
Making data spatial
Making maps with ggplot2
How will you tell Milo about coffee with co-workers?