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Introduction

This unit focuses on advanced aspects of spatial data analysis, including practical aspects of developing software scripts for GIS analysis and customisation. This unit will start with a field excursion where you will collect your own point sample data with GNSS, which you will analyse in the unit's computer practicals. The lecture and practicals will cover 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. In addition, you will explore ways in which the Python language is used to tackle innovative spatial problems by reviewing recent scientific applications in the research investigation component of the unit. This unit is offered at the graduate level.

Summary 2024

Unit name Environmental Geographic Information Science C
Unit code KGG541
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Geography, Planning, and Spatial Sciences
Discipline Geography, Planning, and Spatial Sciences
Coordinator

Assoc Prof Arko Lucieer

Teaching staff

Level Postgraduate
Available as student elective? Yes
Breadth Unit? No

Availability

Note

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* 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).

About Census Dates

Fees

Requisites

Prerequisites

Co-requisites

Mutual Exclusions

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

KGG375

Teaching

Teaching Pattern

2-hr lectures and 3-hr practicals weekly, 1-day field excursion in second week

Assessment

Assignments: 100%, no exam

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

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