I recently came across this tutorial suggesting that the RQGIS and tigris R

packages could be used to overcome issues with non-nested geographies:

https://rpubs.com/corey_sparks/256942I'm trying to apply this to some data I have where I would like to look at

Census Block Groups nested within Zip Code Tabulation Areas. Specifically,

I'd like to compute a segregation index using Census Block Groups as the

lower units and Zip Code Tabulation Areas as the higher level units.

I am confused about how these R packages deal with this issue of non-nested

units. Here's the explanation from the tutorial:

"In order to get around this problem [non-nested units], we can use the

QGIS application to perform a geographic intersection between two spatial

polygon layers that we want to use. This will allow us to merge the

population data at the census tract level to a higher level, so we can

calculate a segregation index."

Can anyone say more about how this is possible? I can run the code in the

tutorial but I don't understand what it's doing.

Thanks!

[[alternative HTML version deleted]]

_______________________________________________

R-sig-Geo mailing list

[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-geo