Friday, 12 June 2020

Coronavirus daily update - Part V

[ Update 3: the uptick smoothed... but "flatten the curve" certainly hasn't happened yet!
Update 2: and right on cue: UK coronavirus cases no longer falling, ONS figures show
Update 1: an uptick in ONS deaths reported a week behind matches last week's uptick in NHSx cases... flattening the curve? Not!  ]

Previously we reported on extending COVID-19 datasets down to Ward (MSOA) from County (UTLA) level. To recap, NHSx post cases and deaths from hospitals in a single dashboard, whereas ONS post death data across many systems with geo-socio-economics. And while we report on the highest geographic granularity publicly available, at the country level weekly reports are the common denominator across agencies. ONS posts data weekly 2-4 weeks behind depending on scale as discussed before, whereas NHSx posts daily 1-2 days behind also discussed before. Having calculated weekly data from NHSx to match ONS time stamps. they're graphed here (click images to enlarge).

30 June update
NHSx reported cases peaked on 5 Apr. and the cumulative curve is far from flattening.

30 June update
ONS reported deaths peaked on 19 April but the cumulative curve still isn't flattening.

30 June update
Here they are combined at separate scales, remembering ONS data are a little behind.

Note: an issue arose when compiling weekly data from NHSx daily data. Their cumulative values didn't line up with calculated cumulative weekly data. And while that request was put to NHSxPHE contact on NHSx page, see this presentation how I resolved that issue: basically adjusting weekly sums to match NHSx cumulative data.

Saturday, 6 June 2020

Coronavirus daily update - Part IV

[Update: see next a wrap-up of COVID-19 cases & deaths data across NHSx & ONS]

The last update added ONS' COVID-related death data, which augment the cases and deaths posted by NHSx at the Local Authority level akin to Counties. The post ended with: Data will be added as found and/or made available: the goal is Parish-level data to mash up with our climate change maps. We already added in the second last update a map from Cambridgeshire Live, and we now see in Cambridgeshire Independent ONS "death data by ward and by villages".

Tuesday, 26 May 2020

Digital terrain models help create a picture - Part II

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.

Saturday, 23 May 2020

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.

Thursday, 7 May 2020

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?

Friday, 1 May 2020

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.

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.