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2005/06 Undergraduate Module Catalogue

MATH2740 Environmental Statistics

10 creditsClass Size: 200

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2005/06

Pre-requisites

MATH2710, or equivalent.

This module is approved as an Elective

Objectives

To introduce statistical concepts and models for analysing data of an environmental nature. On completion of this module, students should be able to: (a) analyse data of a spatial nature; (b) analyse models when applied to the analysis of categorical data arising from observational studies.

Syllabus

This course will make use of examples based on environmental data; some of the topics being 'driven' by examples. Environmental data may result from observational studies, or may be of a spatial nature with observations collected at particular locations. For example, incidences of leukaemia may be claimed to be the result of nuclear power stations. The analysis of such data will use methods in spatial statistics. Topics covered include: 1. Types of data. 2. Spatial point patterns: contagious distributions. 3. Quadrant analysis: testing for non-randomness. 4. Distance methods: nearest neighbour analysis. 5. Spatial autocorrelation: join count statistics; testing hypotheses of spatial correlation. 6. Categorical data analysis: log-linear models; goodness of fit; three-dimensional tables; model selection.

Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Lectures: 20 hours; Tutorials: 2 hours; Practicals: 4 hours; Example Classes: 4 hours.

Methods of assessment

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

2 hour written examination at end of semester (80%), coursework (20%).

Reading list

The reading list is available from the Library website

Last updated: 13/05/2005

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