Lmst

📝 Three #vacancies with the #WorldPop project at the University of #Southampton - please share with networks/colleagues:

🔴 Senior #ResearchFellow https://jobs.soton.ac.uk/Vacancy.aspx?ref=3276325WR

🟠 Specialist #Technician https://jobs.soton.ac.uk/Vacancy.aspx?ref=3276825WR

🟡 #Engagement and #CommunicationsManager
https://jobs.soton.ac.uk/Vacancy.aspx?ref=3264725WR

#demography #population #populationestimates #humangeography #demographicdata #jobs #recruitment #researchjobs #commsjobs

A population estimation workshop was held in Beirut last week with Lebanon’s Central Administration of Statistics, ministries & UN partners.

With no census since 1932 geospatial modelling can fill major data gaps to guide Lebanon's recovery & planning.

#WorldPop #Lebanon #DataForDevelopment

Photo of Dr Sarchil Qader leading a population estimation workshop in Beirut, Lebanon

Using #WorldPop data, UNOSAT estimates ~41,000 people remain exposed to floodwaters in KP as of Aug 20, despite receding levels. Pakistan’s monsoon floods since June have caused 785 deaths & widespread damage.

#PakistanFloods2025

https://reliefweb.int/report/pakistan/pakistan-monsoon-floods-2025-flash-update-2-22-august-2025

Front cover of ReliefWeb report on Pakistan floods, August 2025

🌍 How can data save lives during disasters?

WorldPop co-produced high-resolution population data for a new UN study, helping map how vulnerable groups across Latin America & the Caribbean face risks from floods, earthquakes, and more.

Smarter data = smarter disaster planning. 💡📊

#DisasterRiskReduction #WorldPop #ClimateResilience #UNFPA #UNDRR #DataForGood

https://www.worldpop.org/blog/worldpop-co-produces-vital-population-data-for-un-disaster-risk-study/

Photorealistic image of a child in a refugee camp

Yay! Dragon Pony did another World Wide Cover compilation! I love it!

🇹🇭 🇮🇩 🇯🇵 전 세계 HOT MUSIC을 드래곤포니가 밴드 사운드로 가져옴!🥁🎸ㅣStray Kids, The Lantis, Lady Gaga, Little John, Xiao Bing ChihㅣDragon PonyㅣW.W.C
https://www.youtube.com/watch?v=8x2fS9qNISY

#DragonPony #WWC #WorldPop

One day late to start #30daymapchallenge but one of these was generated by accident today out of pgadmin @anyways so I decided to participate after all.

This is a map with randomly generated population samples. We generate one location per person across the planet. We use #worldpop and as always #openstreetmap as a mask to distribute the samples.

Three maps, one in Antwerp, Belgium (the city hosting @sotmeu next week), the other in Ha Noi, Viet Nam and the other Vancouver, Canada.

A map of random living locations in Vancouver, Canada.

A map of random living locations in Ha Noi, Viet Nam

A map of random living locations in Antwerp, Belgium

3a. For the first visualization:
- Apply a graduated symbology or "data-defined" symbology using the pop_sum field.

3b. For the second visualization:
- Use geometry generators and the "scale" expression with pop_sum and max(pop_sum) to create the bar/column graph.

🧵 4/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat #DataViz #DataVisualization

1. Used QGIS' "Create grid" algorithm to generate a grid of 30 second (or longitudes) covering the extent of the Philippines.

2. Used the "Zonal Statistics" algorithm to compute for the sum of population (pop_sum) for each latitude (or longitude) using the WorldPop population data.

🧵 3/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat

The data used are a population raster (30 second/1km grid) from WorldPop and Philippine admin boundary map from GADM.

The first map visualizes the population per 30 second of latitude (or longitude) using color while the second visualizes the population as a bar/column chart.

The process was once again fairly straightforward.

🧵 2/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat

Friday is map day! Were you waiting for new maps/visualizations of Philippine population? Well, you're in luck because here's #anotherone (or four really).

This time they are maps of population per latitude (and longitude) in the Philippines. As usual, all the processing and map-making was done in QGIS.

🧵 1/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat #DataViz #DataVisualization