Digital terrain models help create a picture - Part II

[ Update: see new arcgis.com interface for another view of this here & under Update 5 here ]

The previous post showed how digital terrain, surface (add buildings & vegetation) and elevation (detail topography) models highlight geomorphology (land features) and infrastructure (roads, canals etc.). That was in the Cambridgeshire area of the southern Fenlands of East Anglia, as a complement to sea level rise models from coastal inundation, as well as flood risk maps from rivers and from sea.

Digital terrain models help create a picture

[ Update: next post discusses same in the East Anglia coastal area of the Fenlands ]

The previous blog showed how to effectively portray coastal inundation, as it progresses inland from the encroachment of sea level rise. These were base on 30 m. resolution Digital Elevation Models (DEM) from OS OpenData as explained previously here.

Low tech / high tech map updates, Part II

[ Update: the next blog details and updates this via a story map and new data ]

Part I showed how high contrast map symbology of Sea Level Rise can be transferred to a paper map to take around events. When asked if I could scan and reprint that paper map, I thought: why print a hand-transfer, why not print the digital original? Better still: why not try and enhance that digital map to really give an impression of sea level rise gradually invading the land?

Coronavirus daily update - Part III

[ Update: see further updates at higher granularity geography in a later post
Also ONS numbers updated weekly maintain the difference with NHSx below]

Following on Part II adding local data for East of England, let's add weekly deaths (two weeks out of date) from ONS here and here, including counts outside of daily hospital deaths (two days out of date) from NHSx. Here is a graph of the raw data collected from both sources, since end-January onset of the pandemic in the UK.

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?

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.

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.

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.

Coronavirus daily update

Issues with the mnemonic link below? Try one of these! Mobile, tablet or desktop
Final update: single URL for desktop, tablet and mobile: bit.ly/CamCOVIDinfo
15 Apr. 2020: NHSX 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

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.