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workshops-gis_day_2020's Introduction

GIS DAY 2020: Mapping Covid-19 in England using R and Shiny

R Packages

A good introduction to R for Spatial Data Science can be found here. Lots of resources about GIS in general, and its applications, can be found on the dedicated section of the GIS Day website.

Some of the spatial packages mentioned above can be difficult to install correctly, depending on your configuration. Have a look here for a guide to the installation on a Ubuntu machine.

Boundaries

  • MSOA Middle Layer Super Output Areas

  • LSOA Lower Layer Super Output Areas

As we are not concerned here with geographical details, both the above boundaries are downloaded in the super generalised form, and can be actually simplified further.

Other boundaries used in the session — LTLA Lower Tier Local Authorities, UTLA Upper Tier LA, RGN Regions, CCG NHS Clinical Commissioning Groups, STP NHS Sustainability and Transformation Partnerships — will be built by dissolving methods using the above boundaries and convenient lookup tables.

You can found here a brief description of the UK Census Geography hierarchy, while this is a more comprehensive starting guide to the whole of UK Geographies.

Covid Data

Ancillary Data

GeoDemographics

Credits

  • Gis Day website

  • Contains MSOA names © Open Parliament copyright and database right 2020

  • Contains Ordnance Survey data © Crown copyright and database right 2020

  • Contains Royal Mail data © Royal Mail copyright and database right 2020

  • Contains Public Health England data © Crown copyright and database right 2020

  • Office for National Statistics licensed under the Open Government Licence v.3.0

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