ajrqgis
Deprivation in Liverpool (2015)
This is a map of the English Indices of Deprivation classification for the local authority area of Liverpool. Why did I do this? I was trying to see if I could follow up on an idea I've had before - and enhance the communicative power of the legend by making it into a data display. I finally figured it out.
I think this helps with the interpretation of the data and helps overcome some of the limitations of cognition with choropleths containing differently sized spatial units. The areas here contain roughly similar numbers of people but the poorer areas tend to be small and red and the richer ones large and blue. I also find this useful when comparing multiple areas.
The data are classified by decile categories so it's possibly a little bit of a mix between histogram and bar chart but I wanted to see if I could get each chart legend ('bargend', unless anyone has a better name) to dynamically update in Atlas, as I was producing one for all 326 areas in England. I've blogged on this here, where I also refer to Andy Tice as part of the inspiration:
www.undertheraedar.com/2015/10/are-map-legends-too-lazy.html
The blog piece also contains links to a couple of previous papers on the general topic of map legends.
To achieve this, I just summarised the underlying small area data and then joined it to the coverage layer and then used the fields in the coverage layer to size each bar and position the numeric text beside each bar. I hope to put this in a more detailed blog post soon. In the meantime, if you are interested in the results, I've put all 326 files here:
I don't have the skills to code this process, so be my guest!
Deprivation in Liverpool (2015)
This is a map of the English Indices of Deprivation classification for the local authority area of Liverpool. Why did I do this? I was trying to see if I could follow up on an idea I've had before - and enhance the communicative power of the legend by making it into a data display. I finally figured it out.
I think this helps with the interpretation of the data and helps overcome some of the limitations of cognition with choropleths containing differently sized spatial units. The areas here contain roughly similar numbers of people but the poorer areas tend to be small and red and the richer ones large and blue. I also find this useful when comparing multiple areas.
The data are classified by decile categories so it's possibly a little bit of a mix between histogram and bar chart but I wanted to see if I could get each chart legend ('bargend', unless anyone has a better name) to dynamically update in Atlas, as I was producing one for all 326 areas in England. I've blogged on this here, where I also refer to Andy Tice as part of the inspiration:
www.undertheraedar.com/2015/10/are-map-legends-too-lazy.html
The blog piece also contains links to a couple of previous papers on the general topic of map legends.
To achieve this, I just summarised the underlying small area data and then joined it to the coverage layer and then used the fields in the coverage layer to size each bar and position the numeric text beside each bar. I hope to put this in a more detailed blog post soon. In the meantime, if you are interested in the results, I've put all 326 files here:
I don't have the skills to code this process, so be my guest!