Full code for the multilingual spatial data workflows session
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__pycache__
data_in
data_out
.gitignore
201809_UCL_workshop.Rproj
LICENSE
README.md
main.Rmd
main.html
main.nb.html
presentation.pptx
tidy_workflow.Rmd
tidy_workflow.html
tidy_workflow.nb.html
~$presentation.pptx

README.md

ucl-code-workshop

Full code for the multilingual spatial data workflows session

##Details

"main" is an R Markdown file demonstrating an interactive R-Python-Earth Engine workflow.

"tidy_workflow": R Markdown file demonstrating a "tidy" analytics workflow in R, based on the functionality of Tidyverse

"presentation": Powerpoint slides from workshop

Within "data_in":

populous_urban_areas.csv lists the population of all Census Statistical Areas within the USA (from Wikipedia)

cb_2017_us_csa_500k contains shapefiles for the Census Statistical Areas

cb_2017_us_state_20m contains a low-resolution shapefile of US states

Within "data_out": Output from main.Rmd script