Cait Robinson

392 Followers
76 Following
61 Posts
New #FuelPoverty statistics out for #England today. Most disturbing change: numbers of households required to spend 10%+ of income on energy (after housing) This has grown from *20.5%* (4.93 mill hshlds) in 2021 to *30.3%* in 2022 (7.39 mill hshlds).

📢 Call for Sessions

🎶 It's the most wonderful time of the year.. 🎶 😄 yes, it's the time when the GIScience Research Group of the Royal Geographical Society invites you to submit proposals for sponsorship of your RGS-IBG Annual International Conference 2023 sessions!

#GIS #GIScience #CFP

https://geoinfo.science/2022/12/22/rgs-ibg-annual-international-conference-2023-call-for-sessions/

RGS-IBG Annual International Conference 2023 • Call for Sessions

RGS-IBG GIScience Research Group

New blog by Irene Gonzalez Pijuan: where are the children in UK #FuelPoverty policy? #EnergyPoverty

https://www.fuelpovertyresearch.net/comment/children-in-uk-energy-policy/

Fuel poverty is rocketing but where are the children in UK energy policy? – FPRN

The House of Commons completed its hydrogen inquiry:

"Hydrogen is not a panacea for reaching Net Zero" and it is "unwise to assume hydrogen can make a large contribution to reducing UK greenhouse gas emissions in the short and medium term."

https://committees.parliament.uk/committee/135/science-and-technology-committee/news/175146/hydrogen-is-not-a-panacea-for-reaching-net-zero-warn-mps/

RT @jakub_nowosad
‼️Geocomputation with R, ed.2: progress report‼️

Want to learn more about the analysis of transport systems at different geographic levels, visit https://geocompr.robinlovelace.net/transport.html.

It uses {stplanr}, {sfnetworks}, {sf}, {tmap}, {dplyr}, and more...

#rstats #rspatial #geocompr

Chapter 13 Transportation | Geocomputation with R

Prerequisites This chapter uses the following packages:85 library(sf) library(dplyr) library(spDataLarge) library(stplanr) # for processing geographic transport data library(tmap) # map...

RT @yyuanxuan
Great to have our AiPC paper online #OpenAccess
🎉@F_Darlington @Lesmian🎉
Paper👉https://tinyurl.com/mpab7u37
GitHub Repo 👉 https://github.com/yyuanxuan/AiPC
You can also explore AiPC with @cdrc🗺️Mapmaker 👉https://mapmaker.cdrc.ac.uk/#/ageing-in-place-classification
Ageing in Place Classification: Creating a geodemographic classification for the ageing population in England - Applied Spatial Analysis and Policy

Population ageing is one of the most significant demographic changes underway in many countries. Far from being a homogenous group, older people and their experiences of ageing are diverse. A better understanding of the characteristics and geography of the older population, including the older workforce, is important. It allows policymakers and stakeholders to better adapt to the opportunities and challenges that the ageing population brings. This paper describes the implementation of the Ageing in Place Classification (AiPC) in England. AiPC is a multidimensional geodemographic classification, and it employs a wide range of spatially representative attributes of older people’s sociodemographic characteristics and their living environment at the small area level. The openly available product provides valuable insights that can be implemented in both local and national contexts, in particular to improve service delivery and inform targeted policy interventions. AiPC is readily updateable with the arrival of new Census data; the concept and framework are also transferable to other countries.

SpringerLink

Finally out! Shinning ✨ new paper w/ @alel, @darribas, Krasen & @martinfleis in Population, Space and Place on the changes of internal population movements during COVID-19

Paper: https://doi.org/10.1002/psp.2637
Code: https://github.com/gdsl-itinerant/human-mobility

If you want to know more: https://twitter.com/Fcorowe/status/1600823449228050435?s=20&t=cJRymfoAhfRASQUgfR0iFA

RT @OliviaJH_
Our paper on the spatial relationships between alcohol availability and violent crime using geographically weighted regression in Applied Geography is out! 😱

Special thanks to @Carly_LL and @markalangreen - couldn't have done this without your support! https://twitter.com/markalangreen/status/1598242332255698945

Mark Green on Twitter

“New paper! The spatial effect of alcohol availability on violence: A geographically weighted regression analysis with @OliviaJH_ @Carly_LL and thread https://t.co/XqgxfnyNGi”

Twitter

RT @Emil_Hvitfeldt
We are beyond excited to announce that {tidyclust} is now on CRAN 🎈🎉 This package extends #tidymodels into the domain of clustering models

https://www.tidyverse.org/blog/2022/12/tidyclust-0-1-0/ #rstats

tidyclust is on CRAN

Tidyclust is on CRAN. tidyclust provides a common interface for specifying clustering models, in the same style as parsnip.

📢 New funded PhD opportunity 📢

Interested in applications of #virtualreality at the intersection of #digital #geography and #health?

Check out the #fundedPhD opportunity to work with me and @tess_osborne at the University of Leicester

👇👇👇

https://www.findaphd.com/phds/project/virtual-reality-for-health-and-wellbeing/?p152226

Virtual reality for health and wellbeing at University of Leicester on FindAPhD.com

PhD Project - Virtual reality for health and wellbeing at University of Leicester, listed on FindAPhD.com

www.FindAPhD.com