CEG2703 : Geospatial Data Analysis
CEG2703 : Geospatial Data Analysis
- Offered for Year: 2024/25
- Module Leader(s): Dr Nigel Penna
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
| Code | Title |
|---|---|
| CEG1703 | Surveying and Mapping |
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
-
Aims
The module aims to develop the essential mathematical skills for understanding and undertaking processing and analysis of geospatial observations and data. Students will be provided with an in-depth understanding of the reasons for inaccuracy in survey measurements and shown how to achieve and guarantee survey results adequate for their purpose by processes of pre-analysis, estimation and post-analysis. Knowledge of the basic concepts will be related to the computation of 1D, 2D and 3D survey control schemes but the universality of methods for the handling of geospatial measurement data will be emphasised.
Outline Of Syllabus
Measurement errors and their propagation; least squares using observation equations; network analysis; covariance analysis; pre- and post-adjustment analysis.
Learning Outcomes
Intended Knowledge Outcomes
• Understanding of how measurement errors propagate
• Conceptual understanding of mathematical techniques applied in observation processing and analysis.
• Understanding of the processes of least squares pre-analysis, estimation and post-analysis.
• Knowledge required to undertake the computation of 1D, 2D and 3D control schemes using the method of least squares.
Intended Skill Outcomes
• Numeracy and mathematical and statistical handling of measurement data including error propagation.
• Correctly set up functional and stochastic models for least squares estimation.
• Process measurement data using both spreadsheet applications and specialised software packages.
• Correctly interpret estimated parameters and statistical indicators of precision.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 21:00 | 21:00 | Report writing and submission |
| Scheduled Learning And Teaching Activities | Lecture | 22 | 1:00 | 22:00 | Present in person lectures. |
| Scheduled Learning And Teaching Activities | Practical | 4 | 3:00 | 12:00 | Computer-based practical sessions delivered in person. |
| Guided Independent Study | Independent study | 1 | 45:00 | 45:00 | Includes wider reading, understanding and revision of lecture materials |
| Total | 100:00 |
Teaching Rationale And Relationship
Early lectures introduce essential mathematical concepts for the statistical analysis of measurement data. Later lectures discuss least squares estimation and post-analysis. The theoretical concepts presented in lectures are demonstrated through case studies. Practical sessions allow students to apply the underlying theory with the aid of both a spreadsheet application and a specialised software package. Extensive time is allocated to independent study, which includes background reading.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 90 | 1 | A | 70 | Unseen, closed book, written exam |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Practical/lab report | 1 | M | 20 | Least Squares Computations. To be submitted in October. |
| Practical/lab report | 1 | M | 10 | Network Adjustment. To be submitted in December |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Written exercise | 1 | M | Matrix manipulation via Excel. Error propagation worksheet. Least squares post-lecture computational problems. |
Assessment Rationale And Relationship
The written, closed-book exam assesses the student’s accumulated knowledge and its application, whilst the coursework provides the opportunity for earlier understanding of the concepts to be gathered, assessed and feedback obtained.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG2703's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- CEG2703's past Exam Papers
General Notes
Software used: Microsurvey STAR*NET, Microsoft Excel.
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The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.