Course Title: Spatial Information Science 4

Part A: Course Overview

Course Title: Spatial Information Science 4

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 2 2014,
Sem 2 2015

Course Coordinator: Associate Professor Chris Bellman

Course Coordinator Phone: +61 3 9925 3269

Course Coordinator Email:

Course Coordinator Location: 12.11.13

Pre-requisite Courses and Assumed Knowledge and Capabilities

GEOM1033-Spatial Information Science 1 and GEOM1044-Spatial Information Science 2, equivalent course(s) or provide evidence of equivalent capabilities.

To successfully complete this course, you should have:

• knowledge of key components of a geographical information system (GIS), important GIS functions to manage geospatial data, and mainstream GIS applications
• the ability to use a GIS software with given digital geospatial datasets to produce cartographically sound digital maps
• the ability to carry out GIS-based spatial data analysis procedures

Course Description

This course introduces you to open source and cloud based solutions for GIS. There is also a strong emphasis on spatial databases and the use of ‘open data’. The course focusses on the use of new and emerging technologies for the management, analysis, interpretation and presentation of spatial information. There is a strong practical component and you will implement a number of demonstrator projects using different software systems. You will also develop your own spatial analysis project using open data and open source or cloud-based GIS solutions.

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information.)

The WAM web page link:;ID=eyj5c0mo77631

Objectives/Learning Outcomes/Capability Development

On completion of this course you should be able to:

1. Use a range of open source and cloud-based GIS software
2. Create a spatial database
3. Explain the standards applicable to web GIS services
4. Publish a web mapping service
5. Write a reflective journal describing the development of your learning in the course
6. Develop a cloud based solution to a GIS analysis problem using publically available data

This course contributes to the following Program Learning Outcomes for BH117 Bachelor of Science (Geospatial Science):

1.2 Demonstrate in-depth understanding of the spatial models and mathematical methods used in contemporary practice.
1.3 Understand specialist bodies of knowledge in geospatial science.
2.1 Apply standard and advanced techniques to solve a range of measurement, analysis and data management problems.
2.3 Be proficient in the recording, storage, management, representation and reporting of spatial information.
6.1 Be self-motivated and personally responsible for your actions and learning
6.3 Professionally manage and use information

Overview of Learning Activities

You will be assisted in undertaking your project by occasional lectures on report writing, poster preparation and delivering professional presentations and through consultation with academic staff and/or industry.

Each project will have an internal supervisor who will be an academic member of staff. In many instances there will also be an external supervisor (external to RMIT) who has a particular interest in your project area. This supervisor may serve as a potential mentor and will provide industry feedback.


24 hours of lectures and 12 hours of structured practical sessions. In addition, another 12 hours of supervised project time is available in computer laboratories. Students are expected to devote considerable time to the development and completion of their own GIS project using the systems covered in the course.

Overview of Learning Resources

You will be able to access course information and learning materials through Blackboard and will be provided with copies of additional materials in class. Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided. You also have access to virtual computing environments, GIS software, computer laboratories for practical tutorials, projects and written assignments.
A library subject guide is available at:

Overview of Assessment

☒This course has no hurdle requirements.

Assessment Tasks

Early Assessment Task:  Online discovery task and discussion
Weighting 5%
This assessment task supports CLOs 1

Assessment Task 2:  Reflective journal.
Weighting 10%
This assessment task supports CLOs 5

Assessment Task 3:  QGIS exercise
Weighting 15%
This assessment task supports CLO 1, 2 & 3

Assessment 4: CartoDB exercise
Weighting 5% 
This assessment supports CLOs 1, 2, 3 & 4

Assessment 5: ARCGIS Online exercise
Weighting 5% 
This assessment supports CLOs 1, 2,3 & 4

Assessment 6: Project exercise
Weighting 50% 
This assessment supports CLOs 1, 2,3, 4 & 6

Assessment 7: Class test
Weighting 10% 
This assessment supports CLOs 1, 2,3, 4 & 5