I'm trying to show (in QGIS) how the distribution of 7 or 8 different attributes of a given shapefile vary across polygons within the layer.
For a given attribute, this is simple (well, the basics are): use a categorized or graduated style to show which polygons are high- and which are low-intensity in the attribute.
Because I've no formal background in GIS-ing, I'd like to know what the most common/straightforward way to do this several times.
Right now my approach is to bring in 7-8 copies of the layer into the ?layer space?, and repeat the process on each of the layer copies--so that in the end I have 7 (identical except for aesthetic style) copies of the original layer, each colored according to one attribute.
Then, I bring them all in to the print composer one-by-one and use subtitles to distinguish them.
This seems somewhat inefficient to me, so I wanted to reach out to SE to see if there are any recommendations for a speedier approach to scaling up the process of illustrating attribute distributions in a shapefile.
Compounding the issue is that the base layer doesn't have the attributes--I'm bringing them in via an attribute join, so I have to re-join the table to each layer copy.
I thought of re-saving the layer once the table's joined, but I'm hoping there's a better way--the table being joined is still sort of dynamic (early in development) so it's likely to evolve (if slightly) as analysis progresses. This is a slight improvement on my current approach (only re-save the layer once if the table updates, as opposed to re-join the table 7 times), but I'm on the look out for something more drastic.