Wednesday, 29 April 2020

Coronavirus time-enabled maps - Part II

[ Update: stay tuned for another YouTube live stream to show another use of clever GIS maps ]

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?

Sunday, 26 April 2020

Coronavirus daily update - Part II

Update: see a follow-up post on how ONS data augment the NHSx death statistics ]

Daily updates brought you COVID-19 data for England in a dashboard that posted according to your desktop or mobile device (tablet coming soon). These statistics from NHSx show, however, only hospital data. It's been noted in the press that cases and especially deaths outside hospitals are not captured. ONS captures death data but not in a single dashboard like NHSx and two weeks behind.

Tuesday, 21 April 2020

Listen to the Scientists - Part II

[ Update: a later post shows another outreach tool, a poster depicting sea level rise scenarios ]

Part I showed web maps of London and East Anglia under 0.5, 2 and 6 m. sea level rise by mid-, end- and next century in moderate, far-tail and extreme IPCC emissions scenarios, respectively. The next post updated a simple approach to the public using paper maps, which are both visually arresting and factually correct. Videos are also an effective way to convey complex scenarios by animating those maps, and setting them in regional and local contexts. They help illustrate the climate emergency.

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.