OS Map Tile Explorer - from Alasdair Rae

A little Christmas gift from Alasdair Rae.

A little map creation, where you can click on the OS 100km map tiles that you have visited. I've been to most of them apart from a few extremes...

How many have you visited?

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.”

Dance of the Continents

Via Jason Sawle on LinkedIn.

An impressive StoryMap exploring the choreography of the continents. Embedding not enabled.

Here's the story of its creation.

Global Building Atlas

A project by the University of Munich has aimed at producing a map showing all the world's buildings.

There are estimated to be 2.75 billion buildings.

The researchers have created the first high-resolution 3D map of Earth’s 2.75 billion buildings, producing a dataset 30 times finer than previous global maps. Called the GlobalBuildingAtlas, it was funded by the ERC Starting Grant and built using 2019 satellite imagery.

Each structure is modelled at a three-by-three meter resolution, allowing estimates of height, volume, and density.

The researchers created the project to serve a socioeconomic and environmental purpose. For instance, such a comprehensive, bird’s-eye-view map offers detailed information about the “footprint” of urbanisation and poverty around the world,

Storyscape

Check out the year's end issue of this ESRI mapping newsletter with lots of StoryMap related news...

Data after Dark

Via Professor James Cheshire on LinkedIn.

Today we've published DATA AFTER DARK: a huge piece of work that shines a much needed light on the geography and lived experiences of London's 1.3 million night workers. 

Check it out!

https://dataafterdark.org/

There's too many findings for one post, so for now I want to thank all the night workers who responded to our surveys and who spoke to our researchers and to thank the wider team and supporters of this milestone project.

The research looks like being really useful, and perhaps the night needs to have a greater presence in the geographies that we teach - particularly at this time of year when many of us who are teaching leave home in the dark and arrive home in the dark.

The site includes a very nicely presented research report on night-time working and the night-time economy, as well as centring the voices of night-time workers.

Download the research report here (PDF download)

From the website:

Although night workers make up a little over a quarter of London’s total workers, they are noticeably under-represented in traditional sources of data. Data gathering efforts, and the policy insights that flow from them, still presume the regular “9 to 5” working day, but this is increasingly unrepresentative of people's lived experiences and is not fit for purpose for the millions who work when many of us are enjoying a night out or sleeping.

Data After Dark represents the most comprehensive studies of London’s night workers completed to date, spanning three detailed pieces of work:

• Voices of Night Workers: in-depth, documented, night worker-led discussions
• Didobi Night Worker Report: an extensive survey of workers and their employers
• Mapping Night Work: the innovative spatial analysis of large datasets

Data After Dark was initiated by the UCL Social Data Institute with collaborators from the UCL Urban Laboratory, The Bartlett School of Architecture, the Geographic Data Service and Didobi Limited.

The research was supported by the Mayor of London. It received support, advice and funding from UCL Innovation & Enterprise.