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Following on Part II adding local data for East of England, let's add weekly deaths (two weeks out of date) from ONS here and here, including counts outside of daily hospital deaths (two days out of date) from NHSx.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.