2-5pm: Prof. Chris Brunsdon, MU, Spatial Statistics
In his talk Chris will explain the key ideas of spatial statistics, and provide a number of practical examples using R, and in particular the ‘mgcv’ package for analysis, and the ‘tmap’ and ’sf’ packages to manipulate and visualise geographical data. Practical worked examples will be available in blog form for reference after the talk is finished.
The talk is broadly divided into three sections:
1. Working with geographical data in R – including how read in spatial data, and use it to create maps via ’sf’ and ’tmap’
2. Spatial Statistical models with area-based data – including the use of Markov random fields to model broadband uptake in Ireland, based on census data for Irish electoral divisions
3. Spatial Statistical models with point-based data – including the analysis of historical rainfall data in Ireland.
The SFI Centre for Research Training in Foundations of Data Science will train a cohort of PhD students with world-class foundational understanding in the horizontal themes of Applied Mathematics, Statistics, and Machine Learning.
Let us be part of your #PhD journey. 36 fully-funded studentships waiting to be filled starting in Sept 2021. Hear what our students say about the CRT @UCDGS @UL @MaynoothUni @IUAofficial #believeinscience #phdchat
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