🥳The Breheny Prize for the most innovative @envplanb article published in 2021 has been awarded to @ChrisJochem , Douglas Leasure, Oliver Pannell, @HeatherCh100 , Patricia Jones, @AndyTatem from the @WorldPopProject Congratulations to all👏Find out more:

This work was supported by @WorldPopProject, @grid3global. Read more here:

Our paper looks at a way to classify and map potential settlement types from the spatial patterns of building footprints using Gaussian mixture models.

Thank you @evnplanb and congratulations to my co-authors!

New random forest informed population modelling package in R ( https://t.co/eSVwOVEOQh ). Vignette/tutorial can be found (for now) at ( https://t.co/sffHlvl2Gu) @geodatascience @WorldPopProject #Population #rspatial

Got excited and took it out for a spin, all looking great! Here's how you can read/write geospatial data between R and Python like it's the XXIst Century (also, in the same notebook thanks to the https://t.co/mf2OucmOI4). Notebook at: https://t.co/tffEeedBUn

My first #rstats 📦on CRAN! {sfarrow} Reading/writing spatial objects with coordinate reference system info from/to Parquet files and partitioned datasets #rspatial https://t.co/kMhwxsoBBP

Excited that there will be not one but TWO Bayesian demography sessions at #PAA2021 on Wed 5 May! - 10:45PM CT: @AdrianRaftery1 @DrEmmaZang @mr_wheldon @jonathanbearak discussant @NCahill_Stat - 2:30PM CT: @caseyfbreen @sinafala @ChrisJochem @jonwakeblue discussant @CSchmert

The package has flexibility to calculate morphology metrics on grids, in polygon zones, and using focal windows. Check out the code/docs here: https://t.co/GTJI3rB1kk All the data and settlement classification from our paper are available! https://t.co/rwVeZSICqr

The paper also presents an example of generating a gridded classification of settlements for England, Scotland, and Wales using only patterns in buildings and unsupervised clustering

New paper now out with @AndyTatem @WorldPopProject. We introduce our #rstats 📦foot for calculating gridded morphology measures of building footprints https://t.co/UvxHoE7DUL

Developing methods for classifying residential status of urban buildings: https://t.co/TVt0nBdK4h

Experimental #rstats 📦 {sfarrow} for reading/writing `sf` objects from/to Parquet files with {arrow}. Using consistent geo metadata to work with @GeoPandas. Currently quite simple; feedback and ideas welcome #rspatial https://t.co/s64nypZs1M

New WorldPop paper in @PNASNews as part of @grid3global - National population mapping from sparse survey data: https://t.co/6rXt8jQL8g - explore outputs at: https://t.co/VUAy4y45zQ

Explore our new Bayesian population estimate datasets produced as part of the @grid3global program through the woprVision app: https://t.co/VUAy4y45zQ

New @WorldPopProject paper led by @ChrisJochem - Classifying settlement types from multi-scale spatial patterns of building footprints, with @Need4GIS @AndyTatem Doug Leasure, Pat Jones @geogsouthampton @grid3global #openaccess #geospatial #urbananalytics https://t.co/3aILkRoyUQ

Learn more about how we map settlements. Our first webinar, Mapping Settlements, is out now: https://t.co/BrrY7tCZGH #datascience #datadriven

At what time on New Year's had most of the world's people started the year 2020? A little trivia, and a fun use for @WorldPopProject data. https://t.co/Tdyzg1RkuM Happy (belated) New Year to all!

Finishing up the last day at @efgs2019 with a session on Future #geospatial thinking. @ChrisJochem from @WorldPopProject @geogsouthampton presented on settlement classification from multi-scale spatial patterns of building footprints using a machine learning approach #efgs2019