Following on the initial post, this is a presentation live-streamed on YouTube below - thanks Daniel P. Hoffman for organising How to do Map Stuff yesterday! - liner notes are below that, ten-slide intro and step-by-step after that. Note that while data are open and the process can be done on any platform, the coxcomb symbology (slide 21) is ArcGIS Pro, tho someone may redo it elsewhere?
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Showing posts with label coxcomb fans. Show all posts
Showing posts with label coxcomb fans. Show all posts
Wednesday, 29 April 2020
Wednesday, 8 April 2020
Coronavirus time-enabled maps
[Update: thrilled to present at How to do Map Stuff: a Live Community Sharing Event
Update: The Times' Sam Joiner just cleared England COVID map for London crowding using ridge map animation]
Local dashboards updated daily from Public Heath England data are bolstered by other open data: As coronavirus affects most notably the eldest and youngest, Office for National Statistics age distribution is a welcome addition to case distribution maps. A static web map showed cases and age distribution side-by-side - a story map has the full back story on its derivation - Kenneth Field's "coxcombs" post static time-series that helped identify here vulnerable groups of elder and younger populations, and to overlay them atop progressive case numbers over a set time period.
Update: The Times' Sam Joiner just cleared England COVID map for London crowding using ridge map animation]
Local dashboards updated daily from Public Heath England data are bolstered by other open data: As coronavirus affects most notably the eldest and youngest, Office for National Statistics age distribution is a welcome addition to case distribution maps. A static web map showed cases and age distribution side-by-side - a story map has the full back story on its derivation - Kenneth Field's "coxcombs" post static time-series that helped identify here vulnerable groups of elder and younger populations, and to overlay them atop progressive case numbers over a set time period.
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