The hottest places to live #2

I've previously shared a link during the heat of earlier in the week, which may well return before summer is out.

This BBC article looks at people living in the hottest parts of the country.

This is defined by a data set which is called the Heat Hazard Score.

This could make a useful secondary data set for an NEA.

I will also refer to this when we start back for the new academic year.

Enter a postcode to get a score. I put in my school postcode first, and got a score of 2.

The website also tells you the heatwave threshold for each postcode.

For East Cambridgeshire, this is when temperatures in the postcode area hit 28°C or higher for three consecutive days.

Use Google Street View to explore locations which have a score of 4 or 5 to see what their characteristics are.

This article has an interview with Richard Flemmings, the CTO of 4 Earth Intelligence, who captured the data and created this layer.

Also explore the impacts of heat on transport with this ESRI StoryMap made by the UK team along with the Met Office.

The hottest places to live #1

This BBC article looks at people living in the hottest parts of the country.

This is defined by a data set which is called the Heat Hazard Score.

They are made for the OS by a company called 4 Earth Intelligence.

The potential heat hazard score for small geographical areas - known as a Lower Layer Super Output Areas (LSOA) - was calculated by 4 Earth Intelligence, who measured the average land surface temperature over a sample of days in the past three summers across Great Britain.

Deprivation data was taken from the latest English, Scottish and Welsh Indices of multiple deprivation (IMD). Each IMD is the nation's official measure of relative deprivation, or poverty, and is weighted heavily towards income, employment, education, and health.

The scores range from one to five, and provide an indicator of how likely it is that an area will experience high temperatures during hot weather, when compared with other areas in the surrounding neighbourhood.

As the BBC article explains, there are certain things factored into the calculation, such as the presence of water and vegetation.

A statistical method was used to standardise land surface temperatures, which involved combining satellite images for different dates over the past three years. The temperature data was then adjusted to consider the different average temperatures of each region, to highlight hotter areas across the country, while accounting for varying climates. Five is the highest score.

Normalising the temperatures of each region before calculating the score means the data highlights hotter areas in different parts of the country, despite having different climates.

This ONS report, one of several which were produced during COVID, explained that one in eight houses has no garden. This means no opportunity for shaded outside space...

It would be great to have a subset of data available for educational purposes, perhaps for a city such as Leeds which has a river and parks, and is also an OCR A/B Case Study city.