My web presence

Wednesday, 29 April 2020

Coronavirus time-enabled maps - Part II

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.

Tuesday, 24 March 2020

Coronavirus daily update

Issues with the mnemonic link below? Try one of these! Mobiletablet or desktop
Final update: single URL for desktop, tablet and mobile: bit.ly/CamCOVIDinfo
15 Apr. 2020NHSX provides now COVID-19 daily updates from their new site
Update 5: further maps adding date of  confirmation and provenance in next post
Update 4: tweak two dashboards to work better on desktop and on mobile (see final)
Update 3: added population by age group for comparison, see bottom of right panel
Update 2: streamlined with one map incorporating all data + complete instructions
Update 1: mobile version added, added Persons Recovered (removed by PHE later)
Correction: user feedback showed importance of symbology to convey information

Monday, 16 March 2020

Coronavirus backgrounder

[Update: more dashboards local to Cambridgeshire shown in next blogpost]

This pandemic affects us all. You might be reading this from home. And while social distancing may become the norm, social isolation needn't be: Use social media, ye olde telephone, reach out! Here are some local resources gleaned from group meetings, the twitterverse and simple curiosity.

Wednesday, 12 February 2020

Low tech / high tech map updates

[ Update: see a follow-on post on how a poster helps get the sea level rise message in context ]

At last summer Street for Life (S4L) and Cottenham Beach Party events by Extinction Rebellion (XR) Cambridge, a simple sea level rise map was a hit with children and adults alike: I simply stuck on cardboard backing an Ordnance Survey 1:25,000 Explorer map of Cambridge on side, and villages immediately north on the other. The +5 and +15 m. sea level rises (SLR) from the 2006 firetreemap  were hand-drawn, but eyeballing it made it pretty inaccurate... and +15 and +5 m. were picked because they overlapped Cambridge and villages north, rather than anything scientific!

Thursday, 6 February 2020

Listen to the scientists

[Update 2: in Part II, XR Cambridge Rebel Scientists produced a video tying it all together
Update: East Anglia Fenlands + London Thames Valley inundation models now on YouTube!]

This is what happened at the first Extinction Rebellion Cambridge working group of concerned  scientists, on the topic of sea level rise (SLR) among many others discussed then. As posted earlier here, the scientific consensus lies at 0.5 and 2 m. SLR by mid- and end-century in moderate emissions and far-tail scenarios, respectively. That meeting reiterated, however, the importance of an extreme scenario, ~ 6 m. SLR from the melting of various ice sheets: 7 m. is in fact the default SLR setting for the original sea level rise map, flood.firetree.net.

Wednesday, 5 February 2020

Climate Emergency maps as easy as 1-2-3

Almost 2½ years ago I blogged then presented Emergency response maps as easy as 1-2-3 - in fact that helped spur on my current venture described in previous posts - and now apply the same to do inundation maps from sea level rise as well as river run-off.

Saturday, 18 January 2020

Areas affected by sea level rise scenarios

Local Community Engagement 1234567891011, & 12


[ Update: There follows a tally here of what we've collected so far. ]

So far we've looked at sea level rise, timing, temperature regime and risk of flooding from land and from sea. These scenarios were developed using open data from Ordnance Survey and Climate Central for elevation models, UK Met Office for temperature and DEFRA for flooding. This was also put in a time and IPCC scenario context from scientific publications.

The second most important thing  for East Anglia Fenlands residents after the timing of such scenarios, is the actual areas affected by them. Having collected all the underpinning information, it was a matter of overlaying climate data with settlement data: infrastructure was posted in Part 2  from OS Open Zoomstack, and settlements were posted in Part 6 as a local Wikimedia gazetteer.