This unit builds on KGG212 GIS: Spatial Analysis and focuses on advanced aspects of spatial data analysis, including practical aspects of programming for GIS customisation. At the start of semester you will spend one day in the field collecting GNSS data on a landslide near Hobart. This datasets is then used in the rest of the unit, starting with exploratory spatial data analysis (ESDA), interpolation techniques and terrain modelling, geostatistics, and error propagation modelling. The second part of the unit focuses on GIS application development using the Python programming language. These skills enable you to develop new algorithms and tools, automate tasks, and build custom GIS solutions. This unit will provide you with highly valued skills in the spatial industry.
|Unit name||GIS: Advanced Spatial Analysis|
|Faculty/School||College of Sciences and Engineering
School of Geography, Planning, and Spatial Sciences
|Discipline||Geography, Planning, and Spatial Sciences|
|Available as student elective?||Yes|
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
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.
Special approval is required for enrolment into TNE Program units.
* 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).
Apply theory and techniques in GNSS data sampling, exploratory spatial data analysis, interpolation, geostatistics, and error propagation using best practice and industry standards.
Apply and evaluate interpolation techniques for producing continuous raster surfaces from point sample data.
Develop Python scripts that implement spatial data input/output methods, spatial data structures, and spatial analysis algorithms.
Communicate perspectives and knowledge in GIS and spatial sciences to specialist and non-specialist audiences using written, oral, cartographic, and other visual means.
You cannot enrol in this unit as well as the following:
2-hr lectures and 3-hr practicals weekly, 1-day field excursion in second week
AT1 - Report 40%)
AT2 - Assignment (20%)
AT3 - Assignment (40%)
|Timetable||View the lecture timetable | View the full unit timetable|
Information about any textbook requirements will be available from mid November.
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.