Course Details in 2025/26 Session

Module Title	LM Environmental analysis and modelling
School	School of Geog Earth & Env Sci
Department	Geography
Module Code	03 25556
Module Lead	Professor Jon Sadler
Level	Masters Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Exclusions
Description	This module focuses on the delivery of core analytical skills to the students using two approaches to data analysis. We feel that this element of the REM programme required strengthening to ensure the graduates are more competitive in the job market. The module delivers access to industry standard analytical packages (via R) to enhance their core analytical (statistical and modelling) capability.
Learning Outcomes	By the end of the module students should be able to: Use R to manipulate environmental data, undertake basis data exploration and explore sample designs. Create annotated R scripts to under statistical analyses (e.g. Means tests, Linear regression, Generalised Linear regression and Linear Mixed Models, incl. spatial and temporal autocorrelative models). To understand the importance of modelling in assessing environmental responses. To use appropriate and readily accessible software to model environmental parameters spatially and temporally.
Assessment	25556-01 : Part A : Coursework (50%) 25556-02 : Part B : Coursework (50%)
Assessment Methods & Exceptions	Assessments: 2 x 2000 equivalent data analysis/Modelling projects/worksbooks Reassessment: Resubmission of Data analysis project
Other
Reading List