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2018/19 Undergraduate Module Catalogue

MATH2740 Environmental Statistics

10 creditsClass Size: 90

Module manager: Dr Andrew Baczkowski
Email: A.J.Baczkowski@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2018/19

Pre-requisite qualifications

MATH2715, or MATH2735, or equivalent.

This module is approved as a discovery module

Module summary

This module 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.

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

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

Delivery type	Number	Length hours	Student hours
Workshop	8	1.00	8.00
Lecture	22	1.00	22.00
Practical	3	1.00	3.00
Private study hours			67.00
Total Contact hours			33.00
Total hours (100hr per 10 credits)			100.00

Private study

Studying and revising of course material.
Completing of assignments and assessments.

Opportunities for Formative Feedback

Regular problem solving assignments

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
In-course Assessment	.	20.00
Total percentage (Assessment Coursework)		20.00

There is no resit available for the coursework component of this module. If the module is failed, the coursework mark will be carried forward and added to the resit exam mark with the same weighting as listed above.

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr	80.00
Total percentage (Assessment Exams)		80.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 20/03/2018

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