Charles,<br>I&#39;m certainly interested. I would like to find out how may wikimedians there are in the midlands. I intend to launch an idea which is based here. At the momement I&#39;m waiting for feedback from a number of leading wikimedians (hint yes you three), but I am unsure as to how many people are a small car ride away. So hope this idea works.<br>
<br>Seasons wishes<br>Roger <br><br><div class="gmail_quote">On 17 December 2010 08:01, Charles Matthews <span dir="ltr">&lt;<a href="mailto:charles.r.matthews@ntlworld.com">charles.r.matthews@ntlworld.com</a>&gt;</span> wrote:<br>
<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">An innocent-enough question on the demographics of WMUK&#39;s membership has<br>
led me a merry dance so far. I&#39;m sharing it with this list since it<br>
seems interesting in its own right, and (judging by chat at Sunday&#39;s<br>
meetup) someone may well know more than I do about it.<br>
<br>
The idea is to start with postcodes, rounded off like CB2, for each<br>
member, and then do a graphical plot. Since the so-called postcode<br>
centroids are well known data, that part isn&#39;t hard. But the big urban<br>
areas will not be clearly represented.<br>
<br>
The key word here seems to be &quot;cartogram&quot;: see WP article. What I really<br>
would like is a &quot;population cartogram&quot;, of area type, so a smoothing out<br>
of population density to be more even in a distorted map. There are<br>
examples as Figure 9 and Figure 10 in<br>
<br>
<a href="http://www.statistics.gov.uk/downloads/theme_population/SMPS58.pdf" target="_blank">http://www.statistics.gov.uk/downloads/theme_population/SMPS58.pdf</a><br>
<br>
Those, though, are not based on postcode areas, but on census data done<br>
by wards.<br>
<br>
Anyone (I&#39;m sure we have some experts) on the list who understands the<br>
point here? Locating the postcode centroids within their census ward,<br>
once an for all, (i.e. just some matching that may have been done<br>
already) looks to be enough for the basic purpose of displaying<br>
membership data to find clusters. Alternatively some sort of population<br>
cartogram based on postcode areas could do it. Doesn&#39;t look like rocket<br>
science. Locating the postcode centroid by district so that the Figure<br>
10 map of the PDF could be used as a basis could be done with the list<br>
on the next page (p. 24 of document).<br>
<br>
Comments, please.<br>
<br>
Charles<br>
<br>
<br>
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</blockquote></div><br>