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-requisitesMATH2710, or equivalent.
This module is approved as an Elective
ObjectivesTo 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.
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.
Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for informationLectures: 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 information2 hour written examination at end of semester (80%), coursework (20%).
Reading listThe reading list is available from the Library website
Last updated: 13/05/2005
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