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Hobart, Launceston


This unit provides an introduction to the processing, visualization, analysis and interpretation of spatial marine and Antarctic datasets and the programming tools needed to work with them. This unit will focus on marine specific spatial data using widely used programming and data analysis packages MATLAB and R.  It is a hands-on, skills -oriented unit with weekly practical/tutorial exercises supplemented with explanatory lectures.  This unit addresses specific challenges when working with Marine and Antarctic/Southern Ocean data sources from the Integrated Marine Observing Systems and includes data from remote sensing (temperature and chlorophyll, ocean currents), floats and moored instrument arrays, autonomous underwater vehicles, and phytoplankton records.

Summary 2021

Unit name Spatial Data and Analysis for Marine and Antarctic Science
Unit code KSM103
Credit points 12.5
Faculty/School College of Sciences and Engineering
Institute for Marine & Antarctic Studies
Discipline Ecology and Biodiversity

Andy Fischer

Available as student elective? No
Breadth Unit? No



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About Census Dates

Learning Outcomes


Apply basic computation skills to process, visualize, analyze and interpret spatial marine and Antarctic datasets.


Develop programming skills to work with spatial marine science and Antarctic datasets


Develop competencies in spatial data representation, vector and raster data, band ratio algorithms, remote sensing and spatial statistics with regards to marine and Antarctic data


Apply competencies and programming skills to develop interdisciplinary approaches of translating marine and Antarctic information for stakeholders (research, management and government institutions and the general public).





Mutual Exclusions

You cannot enrol in this unit as well as the following:



Teaching Pattern

2 x 120 minute lecture weekly


AT1 - Programming Skills Test (15%)

AT2 - Programming Skills Test (15%)

AT3 - Tutorial Exercises (30%)

AT4 - 4-hour Take Home Exam (40%)

TimetableView the lecture timetable | View the full unit timetable



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