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Important to talk about projection and two data types, but do have it the first thing. It just throw people off. Have them open a data set thirst so that the participants have something tangible on their computer, before talking about abstract things
Go through a bit of terminology. I think some people were in this class to learn R, and I am not sure if all of them knew topics like:
spatial analysis - explain that it is analysis of mapped data
polygons
Since some parts so heavily depend on ggplot maybe it is worth doing a quick recap. Maybe just remind people that it is a graphing tool, and perhaps remind them of an option or two there
It would be nice to store every map which is plotted in an object (say map_1, map_2, etc.) consistently with what @luizaandrade did in Lab 3, so people can then print all of them and see what was done in the training
Also, you could add some "bonus track" at the end (can be appendix) on embedding leaflet in a Shiny app
Comments from myself:
Possibility: Make this a session about data visualization on maps:
Move parts about raster to appendix
Move parts about processing shapefiles to appendix
Present it right after the ggplot session, since it has a lot of related content
The text was updated successfully, but these errors were encountered:
Comments from @kbjarkefur :
Important to talk about projection and two data types, but do have it the first thing. It just throw people off. Have them open a data set thirst so that the participants have something tangible on their computer, before talking about abstract things
Go through a bit of terminology. I think some people were in this class to learn R, and I am not sure if all of them knew topics like:
spatial analysis - explain that it is analysis of mapped data
polygons
Since some parts so heavily depend on
ggplot
maybe it is worth doing a quick recap. Maybe just remind people that it is a graphing tool, and perhaps remind them of an option or two thereComments from @MRuzzante:
It would be nice to store every map which is plotted in an object (say map_1, map_2, etc.) consistently with what @luizaandrade did in Lab 3, so people can then print all of them and see what was done in the training
Also, you could add some "bonus track" at the end (can be appendix) on embedding leaflet in a Shiny app
Comments from myself:
Possibility: Make this a session about data visualization on maps:
The text was updated successfully, but these errors were encountered: