Spatial Analysis Training Day
The training day is run by members of the Malaria Atlas Project (MAP) and is aimed at introducing geographic information systems (GIS) and statistical techniques to analyse spatial data. The event is open to BDI, NDPH and NDM researchers and students & no prior knowledge is required.
The morning session (Seminar Room 0) will introduce you to: – key objectives and fundamental concepts of analysing spatial data – the MAP’s library of covariates and malaria model outputs – the basics of spatial modelling, spatial prediction, and communicating uncertainty – advanced spatial modelling techniques developed by MAP
In the afternoon we offer three practical sessions at different levels that focus on different steps in the analysis of spatial data: – spatial data operations using ArcGIS software [novice] (BDI L1 Ax) – spatial modelling with INLA (R package) [intermediate] (BDI LG 0 Seminar Room) – advanced spatial modelling with TMB (R package) [advanced] (BDI L2 Ax)

To register, please visit oxford.onlinesurveys.ac.uk/spatialanalysis
Please note that we strongly encourage participants to sign up for both the morning session as well as to one of the practical sessions in the afternoon. Once a session is fully booked and you would like to be added to the waiting list, please contact sarah.laseke@ndph.ox.ac.uk.
For details on the schedule, see the programme attached.
Date: 5 September 2019, 9:45 (Thursday, 19th week, Trinity 2019)
Venue: Big Data Institute, Old Road Campus OX3 7LF
Speaker: Various Speakers
Booking required?: Not required
Audience: Members of the University only
Editor: Hannah Freeman