Showing posts with label Heat. Show all posts
Showing posts with label Heat. Show all posts

Tuesday, December 16, 2025

Cal Heat Score

Via Dr. Dawn Wright

Another ESRI mapping resource which would be of value.

A project in California maps the districts which are likely to be affected by extreme heat.

It is called CalHeatScore.

Obviously at the moment, there are no real causes for concern, but that will not be the case as we move through 2026.

The page looks like the one here:


A first-of-its-kind system that ranks heat risk on a scale from 0 to 4 at the ZIP code level.

ZIP codes are the US equivalent of post codes.

The online tool, built in ArcGIS Experience Builder, includes a map that divides the state into ZIP codes and shades each one a color ranging from light gray (low risk) to deep red (severe risk), depending on forecasted heat impacts for the current week. A tab displays cooling centers, such as libraries and community centers where people can access air conditioning and hydration. The tool also provides information on why each area has its heat ranking, along with profiles of the population’s age ranges, race and ethnicity breakdowns, access to health insurance, number of outdoor workers, and more.

California has a lot of micro-climates.

During extreme heat events, more people get sick, and some die. Yet, according to Wieland, public awareness of extreme heat’s dangers—and what to do when it strikes—remains low.

“A lot of people just think, ‘I’m going to tough it out. I’ve felt heat like this in the past, so I’m just going to continue with all my planned activities for the day,’” he said. “But that can have really dangerous and sometimes deadly consequences.”

Tuesday, July 19, 2022

Hottest places to live?

 

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.