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Module

CEG2728 : Geospatial Data Analysis II

  • Offered for Year: 2021/22
  • Module Leader(s): Dr Ciprian Spatar
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value: 10
ECTS Credits: 5.0

Aims

The module aims to develop advanced mathematical skills for understanding and undertaking the processing and analysis of geospatial data, including the identification and removal of outlying measurements. Students are provided with multiple case studies of least squares estimation applied to horizontal networks, coordinate transformations and GNSS pseudorange positioning.

Outline Of Syllabus

Precisions of least squares parameter estimates;

Trilateration networks;

Triangulation networks;

Horizontal networks with heterogeneous observations;

Traverses;

Error ellipses;

Outlier detection;

Coordinate transformations;

Network simulation;

GNSS pseudorange positioning using least squares;

Generalised least squares and applications.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture181:0018:00PiP delivery
Guided Independent StudyAssessment preparation and completion22:004:00Practical write-ups
Guided Independent StudyAssessment preparation and completion180:309:00Revision for exam
Guided Independent StudyAssessment preparation and completion12:002:00PiP summative exam
Scheduled Learning And Teaching ActivitiesPractical33:009:00PiP, computer-based
Guided Independent StudyIndependent study158:0058:00General reading and revision
Total100:00
Teaching Rationale And Relationship

Early lectures describe computations of horizontal control schemes, including networks in which distance and angular observations are jointly processed. Later lectures introduce outlier detection, network simulation and GNSS pseudorange positioning using the method of least squares. The theoretical concepts presented in lectures are augmented by case studies. Practical sessions allow students to apply the underlying theory with the aid of both spreadsheet applications and a specialised software package. Extensive time is allocated to independent study, which includes background reading and the revision of lecture materials.

Should the public health situation require, all present-in-person sessions will be delivered as synchronous online sessions. If necessary, the end-of-semester summative examination will be converted to a 24-hour take home examination delivered via the Canvas learning management system.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1202A70PiP unseen written exam
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report2M15Traverse computation
Practical/lab report2M15Horizontal network computation
Assessment Rationale And Relationship

The majority of factual and conceptual material relating to the learning outcomes is assessed within the unseen exam. The two coursework reports assess the practical skills of students and the ability to present, describe and compare numerical results in writing. The two reports also assess the use of spreadsheet and specialised software applications for various least squares computations.

Reading Lists

Timetable