GVMQAD-Quantitative Analysis of Environmental Data

Module Provider: Geography and Environmental Science
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Autumn term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2022/3

Module Convenor: Dr Shovonlal Roy
Email: shovonlal.roy@reading.ac.uk

Type of module:

Summary module description:
Quantitative data analysis is essential for Environmental Science. These practical skills increase our understanding of natural environmental processes and the impact of human activity on the environment (e.g. pollution and land management) through the analysis of data collected during practical investigations. This module will provide an overview of commonly used statistical and graphical techniques for environmental data analysis. Students will have the opportunity to design simple experiments, collect and analyse their own data, as well as analyse real data sets provided from different environmental research studies.

Aims:

To learn how to analyse environmental data by applying and interpreting the outputs from a range of classic and modern statistical methods using Minitab and freely-avaialble remote-sensing toolboxes.

Assessable learning outcomes:

By the end of the module students should be able to:

• Formulate a range of hypotheses and identify the appropriate statistical methods to test these


• Use graphical tools for preliminary data analysis


• Apply a range of statistical tests, demonstrating that the assumptions of each test are satisfied


• Interpret the outputs from statistical tests


• Explain the importance of sound research design and samplecollection to ensure data are reliable and suitable for the statistical test required

Additional outcomes:

The course will develop general computing skills, particularly the use of Excel, Minitab and remote-sensing toolboxes.

Outline content:

Content covered includes:

• Data entry and basic data handling


• Descriptive statistics


• Graphs


• Tests for differences between two groups (e.g. t-test)


• Tests for differences between more than two groups (ANOVA)


• Regression


• Experimental Design


• Sampling


• Remote-sensing images

Brief description of teaching and learning methods:

Teaching will be through a combination of lecture (8x2 hours) and computer practicals (8x2Ìýhours including break). Split between lectures andÌýpracticals will vary between weeks depending on the topic. Total contact hours will be 3-4 hours per week. Methods will be introduced and discussed in lectures and practiced during practicals where students will collect and analyse various types ofÌýdata. Students will have the chance to test their understanding and gain instant feedback t hrough submitting weekly practical reports andÌýmultiple choice tests in class. A single piece of coursework will provide an additional opportunity to put the methods learnt into practice using real environmental data.

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures	16
Practicals classes and workshops	16
Guided independent study:	68
Ìý	Ìý	Ìý	Ìý
Total hours by term		0	0
Ìý	Ìý	Ìý	Ìý
Total hours for module	100

Summative Assessment Methods:

Method	Percentage
Report	100

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

25000 word (max) report on acquiring and analysing environmental data from advanced satellite remote-sensing

Formative assessment methods:

Weekly practical reports and formative feedback.

Penalties for late submission:

The below information applies to students on taught programmes except those on Postgraduate Flexible programmes. Penalties for late submission, and the associated procedures, which apply to Postgraduate Flexible programmes are specified in the policy £Penalties for late submission for Postgraduate Flexible programmes£, which can be found here: /cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/penaltiesforlatesubmissionpgflexible.pdf
The Support Centres will apply the following penalties for work submitted late:

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;
• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/penaltiesforlatesubmission.pdf
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:
An overall mark of 50%

Reassessment arrangements:
Resubmission of the report in August

Additional Costs (specified where applicable):

1. Required text books:


2. Specialist equipment or materials:


3. Specialist clothing, footwear or headgear:


4. Printing and binding:


5. Computers and devices with a particular specification:


6. Travel, accommodation and subsistence:

Last updated: 22 September 2022