Part A: Course Overview

Course Title: GIS Analytics

Credit Points: 12.00

Important Information:

 

 


Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

GEOM2152

City Campus

Postgraduate

171H School of Science

Face-to-Face

 Sem 1 2017,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022,
Sem 1 2023,
Sem 1 2025

Course Coordinator: Dr Gang-Jun Liu

Course Coordinator Phone: +61 3 9925 2425

Course Coordinator Email: gang-jun.liu@rmit.edu.au

Course Coordinator Location: 12.11.17

Course Coordinator Availability: by appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

Recommended Prior Study 

You should have satisfactorily completed or received credit for the following course/s before you commence this course: 

If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer. 

Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning. 

Please follow the link for further information on how to apply for credit for prior study or experience. 


Course Description

This course deepens your understanding of geographic information science and advances your skills in GIS-based spatial data analysis. The course focuses on GIS-based methods for spatial pattern analysis applicable to different types of geographical data. It emphasises spatial statistical and numerical techniques for describing, analysing, and comparing spatial patterns so that spatial relationships among relevant geographical phenomena can be characterised, modelled, predicted, or optimised. Key topics include statistical measures and GIS-based methods for spatial interpolation, spatial pattern analysis, and regression analysis using spatial data.  Through guided lab practicals, you will apply advanced GIS-based analytical techniques and workflows, work with diverse digital geographical datasets, and complete complex spatial analytical tasks. In addition, you will apply suitable GIS-based methods to solve real-world geographical problems of your choice by designing and implementing a GIS project, taking on the role of project manager, with your course coordinator as the client and your classmates as consultants. 


Objectives/Learning Outcomes/Capability Development

This course is an option course so it is not required to contribute to the development of program learning outcomes (PLOs) though it may assist your achievement of several PLOs.     

For more information on the program learning outcomes for your program, please see the program guide. 


Upon successful completion of this course, you will be able to:   

  1. Critique geographical concepts and their application in spatial data analytics using appropriate representations.
  2. Assess problems in the statistical analysis of spatial data associated with complexities of geographical space.
  3. Implement suitable statistical, quantitative, and GIS-based methods to describe spatial patterns, identify spatial clusters, and quantify spatial relationships.
  4. Design GIS-based techniques to address real-world geographical challenges, assessing their suitability and effectiveness in diverse practical contexts.
  5. Advocate GIS-based spatial analysis results to a range of audiences, including non-specialists, using a variety of written and graphical communication methods. 


Overview of Learning Activities

In this course, you are expected to:  

  • Actively engage in a variety of learning activities, including scheduled lectorial and discussion sessions, as well as lab-based tutorials and practical sessions.
  • Take initiative in self-directed study of the course materials, ask questions of your lecturer and/or peers, raise any course-related issues via the class-wide discussion forums on the course’s Canvas site or MS Team’s chat channel, and seek out additional information as required, particularly from resources available through the RMIT Library and other course-specific materials on  myRMIT Course. 
  • Complete and submit specified written assignments on time, adhering to the published assessment criteria and submission deadlines


Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Assessment Tasks

Assessment Task 1: Lab Practical Reports 
Weighting 30%  
This assessment task supports CLOs 3 & 5 

Assessment Task 2: GIS Project Consultations 
Weighting 10%  
This assessment task supports CLOs 4 & 5 

Assessment Task 3: GIS Project Presentations and Submissions  
Weighting 30%  
This assessment task supports CLOs 4 & 5  

Assessment Task 4: Final Timed Tests 
Weighting 30% 
This assessment task supports CLOs 1, 2, 3 & 4  

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.