158741

Location Data: Mapping, Analysis and Visualisation

This course will develop knowledge and skills in the processing, analysis and visualisation of data that has a location on the earth. Location data is more and more readily available, and students will learn how to transform and integrate data from multiple sources, consider the impact of data uncertainty and privacy, and perform appropriate analysis for environmental, social and economic applications. Different data collection methods will be discussed, and a range of open source tools will be used.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.

158741

Level

The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).

700-level

Credits

Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.

15

Subjects

Computer Science, Information Technology

Course planning information

Course notes

All the assessments are compulsory.

General progression requirements

You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Critically evaluate the appropriateness and relevance of different methods for analysing and visualising location data in a range of real world contexts.
  • 2 Choose and apply appropriate analysis and visualisation methods to different kinds of location data.
  • 3 Explain and discuss the importance of data uncertainty, quality and privacy issues in the context of location data.
  • 4 Synthesise different kinds of location and non-location data to produce appropriate visualisations for a given project and purpose.
  • 5 Construct an analysis and visualisation workflow for a particular type of location data.

Learning outcomes can change before the start of the semester you are studying the course in.

Assessments

Assessment Learning outcomes assessed Weighting
Written Assignment 1 2 25%
Written Assignment 3 4 25%
Written Assignment 5 50%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
Participation
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Portfolio
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Simulation
Technology-based or experience-based simulations.
Test
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Textbooks needed

Textbooks can change. We recommend you wait until at least seven weeks before the semester starts to buy your textbooks.

Highly recommended

GEOGRAPHIC INFORMATION SCIENCE AND SYSTEMS

Author
LONGLEY, PAUL. A, GOODCHILD, MICHAEL. F, MAGUIRE, DAVID. J AND RHIND, DAVID. W
ISBN
9781119031307
Edition
4TH EDTION
Publisher
WILEY

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