Place-name choropleths: Difference between revisions
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==== Simple county count ==== | ==== Simple county count ==== | ||
For the first map, the count of English place-names and localities currently covered on IRHB was set to index 100 and used as the base for calculating the indexes for individual counties. Counties with an index value between 100 and 109 (both inclusive) are shown in white, those with higher values in progressively darker shades of green, those below 100 in increasingly dark shades of red, Since the counties vary so widely in size, we are here, as it were, comparing gooseberries to water melons as well as fruits of all sorts of intermediate sizes. Yet the main tendencies recur on the next two, more meaningful representations of the data. | |||
==== Taking area into account ==== | ==== Taking area into account ==== | ||
Revision as of 13:27, 8 November 2017
By Henrik Thiil Nielsen, 2017-11-06. Revised by Henrik Thiil Nielsen, 2017-11-08.
This page includes choropleth maps of the English counties, detailing the geographical distribution of Robin Hood-related place-names and localities from three different perspectives. The dataset on which they are based is set out in a table below.The choropleth maps
A choropleth is a "thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map".[1] It thus resembles a heat map, but unlike a heat map in which variation is in principle continuous, it displays data averaged over discrete geographical regions, in this case the English historic counties. On all three maps, a bi-polar colour progression is used, counties with values above the mean – set to index 100 – being coloured a progressively darker green, while those below are coloured a progressively darker red. Areas with values close to the mean are white or nearly so. Ideally colour gradation should be linear, but since there are a few outliers in the data, this could only be achieved with colour steps so small that they become difficult to discern or, on the other hand, such large intervals of values grouped together that resolution for values closer to the mean would be insufficient. Intervals are therefore larger for areas well above the mean. I give a brief description of each map below.
Simple county count
For the first map, the count of English place-names and localities currently covered on IRHB was set to index 100 and used as the base for calculating the indexes for individual counties. Counties with an index value between 100 and 109 (both inclusive) are shown in white, those with higher values in progressively darker shades of green, those below 100 in increasingly dark shades of red, Since the counties vary so widely in size, we are here, as it were, comparing gooseberries to water melons as well as fruits of all sorts of intermediate sizes. Yet the main tendencies recur on the next two, more meaningful representations of the data.
Taking area into account
Taking area and population into account
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