If you find any data displayed on this website that should be amended, please contact the Curriculum Management Team.
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