This unit builds on KGG102 GIS: Introduction and will give you more advanced skills in the analysis and presentation of spatial data. As more businesses and scientists get to grips with the advantages of using GIS to manage and interpret their spatial data, there's increasing demand for graduates with strong skills to manage, analyse, and visualise these spatial datasets in a GIS. Computer skills will be indispensable for almost all careers in geoscience, and students who have acquired experience in data analysis, digital mapping, remote sensing, GPS, and geographical information systems (GIS) will be best prepared to enter the job market. The unit covers interpolation, terrain modelling, multi-criteria decision analysis, geodatabases, spatial data quality, and internet mapping. These topics are explored in lectures and weekly practical sessions. Towards the end of the unit you will work on a GIS project and apply your new spatial analysis skills to tackle real-world GIS problems. The unit is likely to be of interest to students in geography, environmental studies, earth sciences, plant science, zoology, agricultural science, computing and information systems, archaeology, and engineering. This unit forms part of the GIS and Remote Sensing Major and Minor.
|Unit name||GIS: Spatial Analysis|
|College/School||College of Sciences and Engineering
School of Geography, Planning, and Spatial Sciences
|Discipline||Geography, Planning, and Spatial Sciences|
|Coordinator||Professor Arko Lucieer|
|Available as student elective?||Yes|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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|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 (refer to How do I withdraw from a unit? 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. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
- Describe and have a thorough understanding of the theory and practice of raster-based and vector-based spatial analysis techniques.
- Evaluate and apply interpolation techniques to create Digital Elevation Models.
- Apply, analyse, and evaluate terrain modelling and analysis techniques to characterise the landscape in a GIS.
- Design and construct GIS models to solve complex spatial analysis tasks.
- Design and create multi-criteria decision analysis (MCDA) models to solve real-world problems combining raster and vector datasets.
- Describe, review, and apply theoretical concepts and practical techniques related to spatial analysis in a GIS context with examples from real-world applications.
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
13 x 2-hr lectures, 13 x 3-hr practicals
|Assessment||Examination (40%)|GIS Project (40%)|Assignment 1A: terrain derivatives (10%)|Assignment 1B: MCDA exercise (10%)|
|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|
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