[ 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Following on Part II adding local data for East of England, let's add weekly deaths (two weeks out of date) from ONS here and here, including counts outside of daily hospital deaths (two days out of date) from NHSx.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.
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Showing posts with label ESRI. Show all posts
Showing posts with label ESRI. Show all posts
Friday, 1 May 2020
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.
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.
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.
Tuesday, 24 March 2020
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
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
Thursday, 19 July 2018
Historic climate data revisited - 3 - circum-Arctic update
[Update: Part 4 provides a further update on platforms available to map polar data]
In my previous blog, how many layers can be combined in an arresting polar Arctic view. They show the almost zero overlap of historic and current weather and climatic data. They herald the importance of oceanic climate data going back before 1880, when any weather data get scarce.
In my previous blog, how many layers can be combined in an arresting polar Arctic view. They show the almost zero overlap of historic and current weather and climatic data. They herald the importance of oceanic climate data going back before 1880, when any weather data get scarce.
Thursday, 29 March 2018
Historic climate data revisited - 2 - circum-Arctic
[Update: more data for the Arctic were found here and here when writing a paper
Note: Part 3 adds World Port Index data compared to historic Gazetteer
Follow-on class materials the last two blogposts generated are posted here.
Go also to section 5: Arctic / Antarctica GIS application, of 1000 GIS applications ]
Following on the Antarctic blogpost, I took my lessons-learned to the antipodes for these reasons:
Note: Part 3 adds World Port Index data compared to historic Gazetteer
Follow-on class materials the last two blogposts generated are posted here.
Go also to section 5: Arctic / Antarctica GIS application, of 1000 GIS applications ]
Following on the Antarctic blogpost, I took my lessons-learned to the antipodes for these reasons:
Wednesday, 21 March 2018
Historic climate data revisited - 1 - circum-Antarctic
[Update 2: this series has full CC BY-SA 3.0 class notes here
Update 1: please see a mirror project for the Arctic in Part 2.]
With ongoing debates whether Antarctic ice in increasing or not, and its effect on climate change, we must avail ourselves of as much data as we can. If historic climate data is at hand, not only do they get scarcer going farther back, but 1880 also marks a time prior to which their reliability falls off.
So having mapped climate data off tall ships captains logs from 1750 to 1850, I wondered how far south they sailed, and how much they augmented historic climate data around the Antarctic?
Update 1: please see a mirror project for the Arctic in Part 2.]
With ongoing debates whether Antarctic ice in increasing or not, and its effect on climate change, we must avail ourselves of as much data as we can. If historic climate data is at hand, not only do they get scarcer going farther back, but 1880 also marks a time prior to which their reliability falls off.
So having mapped climate data off tall ships captains logs from 1750 to 1850, I wondered how far south they sailed, and how much they augmented historic climate data around the Antarctic?
Labels:
ArcGIS Online,
AWS,
CC BY-SA,
CLIWOC,
ESRI,
MapCentia,
NPI,
open data,
QGIS,
Quantarctica
Monday, 11 December 2017
GeoHipster Calendar: 2018
This is my third Calendar entry from the most excellent Geohipster spearheaded by @atanas, @billdollins and @gletham - the inaugural 2014 and the 2015 can be seen here - I missed last year but I told them:
Labels:
3D,
conflation,
ESRI,
geodata,
Gulf of Mexico,
seismic,
subsurface,
webscene,
wells
Sunday, 17 January 2016
Global vector datasets on the web
I described exactly two years ago posting NOAA's global shoreline dataset on my AWS stack - added recently to personal portfolio for easy access - I discussed here earlier, why post global vector datasets, when web services provided such varieties of backdrops? At issue is that vector data are so large at global scales, that NOAA above and Natural Earth post them as various scales, where details are trade-off against scale.
Friday, 8 January 2016
To teach or not to teach, that is the question
With apologies to The Bard, whilst the internet in general and YouTube in particular are great tools - I use them here and on YouTube myself - there is the danger of posting educational videos uncritically.
Labels:
ArcGIS Desktop,
ArcGIS Online,
ERDAS,
ESRI,
FME,
GCS,
Imagine,
NAD83,
reproject,
SafeSoft,
SterlingGEO,
UTM
Friday, 30 October 2015
Wednesday, 20 May 2015
A tale of two cities, or Bauhaus for maps
I attended two shows back-to-back in London yesterday. Esri(UK) Annual Conference was daytime at the QE2 Centre in Westminster a stone's throw from the Parliament. London Geomob was that evening in Shoreditch, the swanky London digital hub where Ordnance Survey just opened the Geovation Hub.
If the 20 min tube ride in between might have been through a wormhole, such was the contrast, both meetups strove to do the same thing, substituting maps for arts as the Bauhaus movement: "founded with the idea of creating a 'total' work of art in which all arts, including architecture, would eventually be brought together".
Monday, 20 April 2015
Wednesday, 4 February 2015
Esri, Google and if the shoe fits...
[Update: a Google business partner's view of things, 3 mo. after the fracas]
[Here is a further update based on input from other people on what is surely a timely topic. Originally posted on LinkedIn Pulse as The (Geo) Internet of Things, it's posted there for a wider audience.]
Sunday, 27 July 2014
From static to dynamic maps, continued
Last month I reported on posting on arcgis.com some time-stamped, time-slider or time-aware maps - I showed my WhereIsAndrew map - I also mentioned how time-sliders are a great way to roll-up diverse datasets that are time dependent. CLIWOC Captain's ships logs was the other example cited, and I proceeded to post it as a service from ArcMap on arcgis.com.
Sunday, 30 March 2014
... now HOW open is open?
[Update: Part II is on my Medium professional channel 2½ year later: Almost open data]
A lot of (virtual) ink has flowed around opening up data, as in this blog, GISuser crowdsourcing open data (below left) etc. etc. And everyone is getting into the act, from White House (below center) and Whitehall (UK Cabinet Office) to the number of open data hits (below right).
A lot of (virtual) ink has flowed around opening up data, as in this blog, GISuser crowdsourcing open data (below left) etc. etc. And everyone is getting into the act, from White House (below center) and Whitehall (UK Cabinet Office) to the number of open data hits (below right).
Sunday, 26 January 2014
Map catalog continued
In my ongoing suite of posting webmaps in my new and fresh Mind the Map blog, here is another take on loading global vectore megadatasets but this time on Amazon Web Services direct via Mapcentia's GeoCloud.
Saturday, 18 January 2014
Standards & Metadata, Part VIII
My previous post on this topic stated how careful documentation and appropriate metadata high-grades any information that is shared online by giving origin, context and other information. It helps build bridges and I quipped a well-known tear down this wall that also closed my second last post on free data and apps.
Sunday, 20 October 2013
Releasing data really works, Part III
More and more free data are available that are quality-controlled and verifiable. Guardian Data Blog's @smfrogers (now at Twitter) was quite sanguine about this:
Comment is free, but facts are sacred
Sunday, 19 May 2013
A tale of two cities: web maps new and old
Last I posted on vector online GIS, and that appears to be gaining traction. Mapbox offers through TileMill and OpenStreetMaps editing. These are new an emerging technologies that are exciting, and it contrasts with Esri who offers a slew of tools on the desktop and in arcgis.com. WMS is for example still immature on giscloud.com (though it is OGC compliant now), as are the symbology and labels. They do not offer model builder like Esri or Qgis (thru Sextante). But they do offer a service to process GIS functions online and allow to load data direct from web source, avoiding costly down- & up-loads. Here I compare how I used a 180K vector dataset from NOAA NGDC described previously.
Labels:
ArcGIS Online,
cloud,
ESRI,
for-fee,
for-free,
giscloud.com,
Google,
HTML5,
kML,
OGC,
OpenStreetMap,
webmap
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