ESC-40007 - Spatial Geoscience Data Analysis
Coordinator: Jamie Pringle Room: WSF13 Tel: +44 1782 7 33163
Lecture Time: See Timetable...
Level: Level 7
Credits: 15
Study Hours: 150
School Office: 01782 733615

Programme/Approved Electives for 2023/24

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

There are no prerequisites for this module.

Barred Combinations

Not applicable.

Description for 2023/24

Spatial Geoscience Data Analysis is designed to introduce the visualisation and analysis of sub-surface geoscience data through computer aided mapping, cartographic packages, statistical analysis and mapping and visualisation of multi-format data. Problem solving through a variety of datasets, including geophysical data acquisition, analysis and interpretation enables the use of equipment and techniques that are at the forefront of professional practice. Throughout the course, industry standard software and methodologies will be used in order to simulate real world situations.
Aim is to provide experience of a variety of up to date methodologies for the acquisition, analysis and visualisation of spatially distributed geological and geophysical data.
Intended learning outcomes will be to:
¿ develop a systematic and comprehensive understanding of the use of digital imaging and graphics
techniques for displaying and interpreting earth science data.
¿ demonstrate systematic knowledge of geoscientific data analysis, and to be able to evaluate critically the
strengths and weaknesses of statistical methodologies.
¿ plan and implement an integrated and applied geological and geophysical field-based study, which makes
use of equipment and techniques that are at the forefront of professional practice.
¿ demonstrate self-direction and originality in tackling and solving problems.
¿ further develop skills to a high level in report writing, problem-solving, computing, team-working and
presentations.

Aims
To provide experience of a variety of up to date methodologies for the acquisition, analysis and visualisation of spatially distributed geological and geophysical data.

Talis Aspire Reading List
Any reading lists will be provided by the start of the course.
http://lists.lib.keele.ac.uk/modules/esc-40007/lists

Intended Learning Outcomes

develop a systematic process and demonstrate the use of digital imaging and graphics techniques for displaying and interpreting earth science data. will be achieved by assessments: 1,2,3
analyse geoscientific data, and to be able to evaluate critically the strengths and weaknesses of statistical methodologies. will be achieved by assessments: 1,2
plan and implement an integrated and applied geological and geophysical field-based study, which makes use of equipment and techniques that are at the forefront of professional practice. will be achieved by assessments: 3
demonstrate self-direction and originality in tackling and solving problems. will be achieved by assessments: 3
demonstrate skills at a professional level in report writing, problem-solving, computing, team-working and presentations. will be achieved by assessments: 3

Study hours

10 hours lectures
20 hours practical classes and related assignments
50 hours fieldwork
70 hours for completion of assignments and private study

School Rules

None

Description of Module Assessment

1: Report weighted 15%
Data analysis project I
800 word report on the students' quantitative analysis of geoscience datasets that will be provided to them

2: Report weighted 35%
R data analysis project II
1,500 word report on students' statistical analysis of geoscience datasets using R software that will be provided to them

3: Group Report weighted 50%
Student group-led, problem-solving residential field exercise
Presentation of results to clients covering field exercise group preparation, field data collection, data processing and interpretation. Includes oral presentation.