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Heather Chamberlain

@heatherchamberlain.bsky.social

Geographer with the WorldPopProject at Univ. of Southampton 🌍 | Runner | Maps, Geospatial data, Data visualisation

72 Followers  |  125 Following  |  4 Posts  |  Joined: 23.11.2024  |  1.6319

Latest posts by heatherchamberlain.bsky.social on Bluesky

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It’s happening again in November. 30 days and 30 themes for maps. Take part, learn something new and have fun. That’s what #30DayMapChallenge is about 🌎

01.10.2025 16:15 — 👍 51    🔁 23    💬 1    📌 8
Drone photograph of busy market. Yaoundé, Cameroon.

Drone photograph of busy market. Yaoundé, Cameroon.

📣Beta test our new global #population #data - 2015 to 2030

⬇️Now freely available to download ⬇️

www.worldpop.org/blog/beta-te...

#HDX #HumanitarianData @sotongeogenviron.bsky.social @sotongeospatial.bsky.social @cpc-cg.bsky.social @uosmedia.bsky.social @geone-ws.bsky.social @aphrc.bsky.social

01.05.2025 11:48 — 👍 2    🔁 5    💬 0    📌 0
A data viualisation with one waffle plot (10 by 10 grid) per London borough, arranged somewhat geographically. The waffle plots show the proportion of households in owned versus rented accommodation. Each waffle plot is made up of blue, yellow and pink squares, showing the proportion of households in each category: blue (owned), yellow (private rented), pink (social rented). Each plot is labelled with the name of the London borough above.

A data viualisation with one waffle plot (10 by 10 grid) per London borough, arranged somewhat geographically. The waffle plots show the proportion of households in owned versus rented accommodation. Each waffle plot is made up of blue, yellow and pink squares, showing the proportion of households in each category: blue (owned), yellow (private rented), pink (social rented). Each plot is labelled with the name of the London borough above.

Day 1 of the #30DayChartChallenge has the prompt of "Fractions" 🧇

➡️ Comparing proportions of households living in rented vs owned property in London boroughs

🏘️ Data from #Census2021 on household tenure
📊 Waffle plot to show fraction per borough
👩‍💻 Data processing and viz with #Rstats #ggplot

01.04.2025 10:04 — 👍 41    🔁 2    💬 2    📌 0

Today is the start of the #30DayChartChallenge 📊

I'm planning to share a few data visualisations throughout the month, but definitely won't have time for all 30! I rarely get to work with UK census data, so I'm going to focus on data for England and Wales from #Census2021, working mostly with R

01.04.2025 09:50 — 👍 2    🔁 0    💬 0    📌 0

➡️ Substantial variations were seen, highlighting that choice of dataset may bias the selection of settlements + consequently population groups

⚠️Caution is needed in selecting building footprint data and any conclusions drawn should ideally be supported by contextual knowledge and field-verification

25.02.2025 13:17 — 👍 0    🔁 0    💬 0    📌 0
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📢 Happy to share our new preprint on the impacts of building footprint data choice for health campaign planning: doi.org/10.21203/rs....

Using the example of indoor residual spraying in Zambia, we tested how much priority locations could change based on different #geospatial building datasets 🏘️ 🦟 🇿🇲

25.02.2025 13:17 — 👍 3    🔁 0    💬 1    📌 0
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Could future maps give us a glimpse of what the world's population will look like in 2100?

Our experts are drawing up maps which can be used to predict the impact of climate change on the distribution of Earth’s population.

More here 👉 brnw.ch/21wQFw2

@worldpop-uos.bsky.social

13.02.2025 14:10 — 👍 7    🔁 5    💬 0    📌 0

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