GEOG 774 : Advanced Spatial Data Handling


2020 Semester Two (1205) (15 POINTS)

Course Prescription

Advanced approaches to spatial data handling (processing, management, visualisation, and analysis) in web-based environments, including theoretical debates and implications as well as applications for spatial data handling in integrated open-source and web-based mapping/GIS environments. There will be an applied laboratory component and lecture/seminar component where the broader social and theoretical implications of developments in spatial data handling will be engaged. No formal prerequisite, but an understanding equivalent to GEOG 318 will be assumed.

Course Overview

Welcome to GEOG 774 for Semester 2, 2020. This course is designed to develop your understanding of advanced topics in GIS data handling, with a focus on modern web and cloud GIS technologies. You will learn not only about technologies, but also how these technologies are being used by researchers through academic and other publications. You will need to think critically about what you are reading and share your thoughts as you do.
The course is designed to encourage you to co-learn with the instructor. It is expected that the instructor will learn course material alongside students much as possible. While the course is structured around traditional lecture and lab learning, students will create most of the lecture material. The first two lectures will be digital and set a base level of understanding on important topics -- then it is over to you.

Course Requirements

No pre-requisites or restrictions

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity
Capability 6: Social and Environmental Responsibilities

Learning Outcomes

By the end of this course, students will be able to:
  1. Presentations Students will learn to research topics in GIScience in depth at the cutting edge of the science and present there in groups to the class (Capability 1, 2, 4 and 6)
  2. Reading Responses Students will learn base knowledge on a number of topics in Spatial thinking and GIScience through readings in the course and think critically about how the discipline has evolved over time and into the future (Capability 1, 2, 4, 5 and 6)
  3. Labs Students will learn by creating new content that supports their graduate projects and interests through practical labs that teach skills and then support further independent extension of that knowledge through practice (Capability 1, 3, 4 and 5)
  4. Final project in the final project students will apply the culmination of their skills learned during the course to a project that enhances their graduate thesis and/or research projects, taking them into new directions and possibilities. these skills will be directly applicable to both their research interests and to their employability. (Capability 1, 2, 3, 4, 5 and 6)


Assessment Type Percentage Classification
Assignments 30% Individual Coursework
Reading Responses 15% Individual Coursework
Student Lectures 35% Group Coursework
Project 20% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4
Reading Responses
Student Lectures

Key Topics

Key topics include:
  • spatial databases, web services and servers
  • cloud technology
  • blockchain technology
  • virtual reality
  • machine learning
  • geoprivacy and surveillance

Learning Resources

All materials for the course will be provided via canvas

Special Requirements

Students must attend and participate in lectures, achieve a passing grade on assignments, and complete the reading responses to complete the course. The course is scheduled to meet 6 times, although online learning modules will be involved and additional help sessions may be scheduled for assignments and projects

Workload Expectations

This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.

For this course, you can expect 15 hours of lectures and tutorial, 24 hours of reading and thinking about the content and 30 hours of work on assignments, 20 hours preparing for the student led seminars, and 20 hours on the final project.

Other Information

students will need to present research to class and participate in class discussion

Digital Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.


The content and delivery of content in this course are protected by copyright. Material belonging to others may have been used in this course and copied by and solely for the educational purposes of the University under license.

You may copy the course content for the purposes of private study or research, but you may not upload onto any third party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website at

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page:

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Student Feedback

During the course Class Representatives in each class can take feedback to the staff responsible for the course and staff-student consultative committees.

At the end of the course students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback.

Your feedback helps to improve the course and its delivery for all students.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter (


Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 28/07/2020 05:55 p.m.