Environmental scientists increasingly need to deal with complex and large quantitative data sets collected from a variety of sources (i.e. remote sensing, moored instrumentation arrays and autonomous vehicles). As a result, computational and data analysis skills are highly desirable and useful across the many sub-disciplines of the environmental and marine sciences. This unit provides and introduction to processing, visualizing, and interpreting quantitative, spatial marine and environmental science data using scientific computing techniques. Computation methods and visualizations will be performed using a variety of software and computing languages including MATLAB, ArcGIS and Python.
|Unit name||Environmental and Spatial Data Analysis|
|College/School||College of Sciences and Engineering
Institute for Marine & Antarctic Studies
|Discipline||Fisheries and Aquaculture|
|Coordinator||Doctor Andrew (Andy) Fischer|
|Available as student elective?||No|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
|Launceston||Semester 2||On-Campus||Off-Campus||International International||Domestic Domestic|
- International students
- Domestic students
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021.
- Apply the basics of computer programming and mathematical principles relevant to marine science.
- Apply an understanding of data aggregation, processing and visualization to marine management.
- Construct custom tools that automate computation and visualization tasks.
- Apply computation skills in addressing a timely and relevant marine science question.
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
- Available as a Commonwealth Supported Place
- HECS-HELP is available on this unit, depending on your eligibility3
- FEE-HELP is available on this unit, depending on your eligibility4
1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
3 Please refer here for eligibility for HECS-HELP
4 Please refer here for eligibility for FEE-HELP
Please note: international students should refer to this page to get an indicative course cost.
|Timetable||View the lecture timetable | View the full unit timetable|
Required readings will be listed in the unit outline prior to the start of classes.
|Links||Booktopia textbook finder|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.