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Spatial Analysis (10230.2)

Level: Level 3 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands: 2, 4
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Science


Possible changes to your unit's learning activities and assessment items

For the remainder of 2020, resulting from Australian Government's directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, any exams that are required for assessment in a unit will be online exams. Online exams may also use online proctoring to help assure the academic integrity of those exams. Please contact your unit convener with any questions.

While the University has made efforts to ensure that Unit Outlines reflect a unit’s learning activities and assessment items, any changes to Australian Government directives because of the COVID-19 pandemic may require changes to these during the semester to ensure the safety and well being of students and staff. These changes will not be updated in the published unit outline, but will be communicated to you via your unit’s UCLearn(Canvas) teaching site. Any changes made will continue to meet the unit’s learning outcomes, as described in the Unit Outline.

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

  • Semester 1, 2020, ON-CAMPUS, BRUCE (193705) - View
  • Semester 1, 2019, ON-CAMPUS, BRUCE (185280) - View
  • Semester 1, 2018, ON-CAMPUS, BRUCE (182005) - View
  • Semester 1, 2017, ON-CAMPUS, BRUCE (169944) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.


This units aims to develop a broader and more comprehensive understanding of spatial scientific methods and how to analyse scientific data using a diversity of existing methods employed in the various scientific sub-disciplines. The unit will include current research projects from within the faculty. Research projects and accompanied data will be presented via a short introduction and then the required methodology to analyse the type of data will be studied and applied.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Apply prior knowledge from a range of scientific methods in the analysis and interpretation of spatial data sets;

2. Demonstrate knowledge of spatial extensions such as spatial sampling and interpolation methods, cartographic modelling skills and point-pattern analysis along with associated new technologies;

3. Develop an understanding of the key concepts underpinning each method and the associated assumptions and limitations. Acquiring problem solving skills to enable the resolution of new problems and data types;

4. Communicate effectively using well-developed scientific thinking which leads to the formulation of a justified recommendation or advice;

5. Develop ability to recognise scientific problems and being able to apply independent critical scientific thinking that is globally relevant; and

6. Work effectively as an individual and cooperatively within a team setting.

Assessment Items

Contact Hours

The mode of delivery is Standard face-to-face teaching and online. This will consist of lectures accompanied with computer labs., with 2x2 hrs of contact for 11 weeks.


Biostatistics, 10222.



Assumed Knowledge

Statistical skills, particularly linear regression.

Incompatible Units


Equivalent Units

Geographic Information Systems, 6919.

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