A shiny server has been set up to provide an interface to data and statistics assembeled for this project. We should be able to scale to the quality of Our World in Data.


Some considertions in constructing an index: .

GIS approaches

Data handling

See a nice overview on reproducible science. I differ with a couple of items. I prefer bzr to git for version control. My reasons may be outdated. Also I use Sweave and LaTeX rather than knitr for literate programing (combining code with text). How should data be handled and analyzed? One issue will be maintaining interfaces to third party data sources. See the St. Louis Fed's FRED initiative. A repository will be needed of our own processing of such data. R code for reproducible work through Sweave could address this. Here are some differences from a knitr perspective. For code development consider bzr . For communication, a system other than e-mail, forums or a wiki may be useful. For GIS work, Qgis may be preferable to Arcview for sharing and reproducible science due to its free software license. R libraries for geo data. Using USGS maps with R and leflet for interactive web maps. Some potential leads on analyzing the American Communities Survey with R: code, ACS package,resources for analysing similar large data sets, lightweight R package for 5 year file. Article on ACS . R tutorials. Tutorials on shiny.


Some basline factors beyond time and space could include: