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Spatial Data Analytics and Geoprocessing (ERTH90060)

Graduate courseworkPoints: 6.25On Campus (Parkville)

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Overview

Availability
October
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This subject introduces the fundamentals of spatial data analytics and geoprocessing. By using hands-on exercises with real-life geological datasets, the students learn how to handle data in relational databases, query data with simple SQL statements, cleaning, formatting and exporting geospatial datasets and geo-processing the data in GIS software packages. At the start the subject will focus on looking at the basics of database structures, data analytics and data querying. In the second part of the course the students will create GIS projects, plot spatial data, start analysing and geoprocessing geospatial data, creating interpolated heatmaps, rasterizing point clouds and combining and standardizing disperse datasets. We will also practice data extraction, such as how-to geo-reference a map in Google Earth and in GIS, extract data locations from a geo-referenced image and how to create a final GIS project, including legend and map. Finally, the course concludes with bringing all the data together and creating a final GIS project visualizing all pre-analysed data.

Intended learning outcomes

At the completion of this subject, students should be able to:

  • Critically examine and assess the feasibility of creating big data projects;
  • Have an advanced understanding of how to analyse data in GIS and create own technical advanced projects;
  • Gain unique skills in geoprocessing of spatial data and interpretation of the outcomes; and
  • Gain insights into the potential of machine learning and artificial intelligence use in exploration workflows.

Generic skills

Upon completion of this subject, students should be able to:

  • Handle large datasets in digital format;
  • Exercise critical judgement;
  • Undertake rigorous and independent thinking;
  • Adopt a problem-solving approach to new and unfamiliar tasks;
  • Develop high-level written report and/or oral presentation skills;
  • Interrogate, synthesise and interpret the published literature; and
  • Work as part of a team.

Last updated: 31 January 2024

Eligibility and requirements

Prerequisites

None

Corequisites

None

Non-allowed subjects

None

Inherent requirements (core participation requirements)

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Last updated: 31 January 2024

Assessment

DescriptionTimingPercentage

Completion of a final data and GIS project based on provided dataset and individual tasks. The final mark will be assessed by means of a 15 – 20 min presentation by each student.

Due one week after the classroom teaching has concluded.50%

Submission of a technical report (~2000 words) describing steps of data processing, GIS interpretations and final summary

  • 2000 words
Due one week after the classroom teaching has concluded.50%

Last updated: 31 January 2024

Dates & times

  • October
    Principal coordinatorRalf Haese
    CoordinatorFabian Kohlmann
    Mode of deliveryOn Campus (Parkville)
    Contact hoursTotal of 40 contact hours over 5 days: x4hrs lectures & x4hrs practicals per day
    Total time commitment75 hours
    Teaching period 7 October 2024 to 11 October 2024
    Last self-enrol date 8 October 2024
    Census date 8 October 2024
    Last date to withdraw without fail10 October 2024
    Assessment period ends11 October 2024

    October contact information

    ralf.haese@unimelb.edu.au

What do these dates mean

Visit this webpage to find out about these key dates, including how they impact on:

  • Your tuition fees, academic transcript and statements.
  • And for Commonwealth Supported students, your:
    - Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).

    Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.

Last updated: 31 January 2024

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • Links to additional information

    This subject is taught through the Victorian Institute of Earth and Planetary Sciences: https://vieps.earthsci.unimelb.edu.au/.

Last updated: 31 January 2024