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Unit Summary

Unit type

PG Coursework Unit

Credit points

12

AQF level

9

Level of learning

Intermediate

Unit aim

Provides a conceptual understanding of spatial and non-spatial data used in a geographical information system (GIS). The fundamental concepts of spatial analysis underpinning GIS will be applied in discipline or industry context. Students use vector and raster based GIS software (ArcGIS) to collect, edit, manage and analyse spatial and non-spatial data. Students will produce maps to a professional standard. They will complete a self-managed project that demonstrates the application of GIS in their discipline.

Unit content

Spatial data: projections and scale

Spatial data models: vector (topology) and raster

Spatial data capture (GPS, data quality, metadata)

Non-spatial data and data management systems

Editing data

Spatial data analysis

Representation of spatial data

Map production

Problem identification and problem solving using GIS

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

GA1: , GA2: , GA3: , GA4: , GA5: , GA6: , GA7:
On completion of this unit, students should be able to: GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 apply characteristics, types, and processing of spatial data in problem solving
2 manage spatial and non-spatial data in ArcGIS
3 analyse vector and raster data using ArcMap
4 produce maps at a professional standard
5 identify a problem in their discipline and use GIS to solve the problem
6 critically analyse limitations of GIS applications in terms of accuracy and scale in a GIS project.

On completion of this unit, students should be able to:

  1. apply characteristics, types, and processing of spatial data in problem solving
    • GA4:
  2. manage spatial and non-spatial data in ArcGIS
    • GA4:
  3. analyse vector and raster data using ArcMap
    • GA2:
    • GA4:
  4. produce maps at a professional standard
    • GA2:
    • GA4:
  5. identify a problem in their discipline and use GIS to solve the problem
    • GA2:
    • GA4:
  6. critically analyse limitations of GIS applications in terms of accuracy and scale in a GIS project.
    • GA1:
    • GA4: