Course Title: Integrate spatial datasets

Part B: Course Detail

Teaching Period: Term1 2009

Course Code: ISYS5683C

Course Title: Integrate spatial datasets

School: 130T Vocational Engineering

Campus: City Campus

Program: C5237 - Diploma of Spatial Information Services

Course Contact: Program Manager

Course Contact Phone: +61 3 9925 4468

Course Contact Email:

Name and Contact Details of All Other Relevant Staff

Course Contact: William Ntuwah

Course Contact Phone: +61 3 9925 4445

Course Contact Email:

Nominal Hours: 60

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites


Course Description

This unit of competency specifies the outcomes required to integrate spatial datasets including linking spatial, aspatial and attribute data for the purpose of providing spatially referenced information. It requires the ability to apply theoretical spatial concepts to a range of situations in order to correctly identify and integrate the appropriate information. Functions would be carried out within organisational guidelines.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

CPPSIS5006A Integrate spatial datasets


2 Obtain spatial and attribute data.

Performance Criteria:

2.1 Sources are determined consistent with specifications using relevant metadata.
2.2 Data is obtained according to organisational guidelines.
2.3 Data is checked for integrity and quality.
2.4 Geographic coverage is assessed for completeness.
2.5 A metadata set is compiled based on sourced spatial data.
2.6 Exception reports are referred to relevant personnel.
2.7 Skills and knowledge are updated to accommodate changes in spatial dataset requirements.
2.8 OHS requirements are planned for and adhered to.


3 Create resultant spatial dataset.

Performance Criteria:

3.1 Filtering parameters are established in line with scientific accuracy, redundancy, and client and
organisational requirements.
3.2 Spatial and aspatial data is translated into a format which satisfies specifications.
3.3 Spatial datasets are populated with edited spatial data according to organisational spatial
3.4 Spatial and attribute data are linked according to specifications and industry standards.


4 Link spatial and attribute data.

Performance Criteria:

4.1 Method required for referencing the location of the attribute data is identified.
4.2 Linking of the spatial and attribute data is completed according to the specifications.
4.3 Spatial queries are carried out via the spatial data to access the attribute data.


5 Test and validate spatial datasets.

Performance Criteria:

5.1 Test queries are determined and implemented to ensure spatial datasets meet specifications.
5.2 Spatial data is checked to ensure correctness of links.
5.3 An exception report is developed according to organisational guidelines and reported back to
relevant personnel.


1 Confirm task 

Performance Criteria:

1.1 Client specifications are analysed to determine specific needs and required outcomes.
1.2 Requirements for spatial data and constraints are identified through further consultation with client or
relevant personnel and outcomes are recorded according to organisational guidelines.

Learning Outcomes

Refer to elements

Details of Learning Activities

Teacher led :

Classroom &/or tutorial instruction in surveying theory and tasks associated with the topics above including the use of computers and relevant software/s, capabilities of survey methodologies and technologies.

Student managed:

Maintain client relations using written, oral and electronic communication
Develop data management strategies to integrate spatial data sets to industry standards. Participation in group activities based on simulated workplace exercises.
Individual exercises carrying out computer operations, research, computations, data compilation and appraisal.

Production of a Portfolio comprising of examples of work, client correspondence, management reports and data management records.

Teaching Schedule

1Introduction to basics of desktop mapping (Definition , How GIS works, Why use GIS,Questions which can be answered using GIS
2 Contributing Disciplines and Technology
3 GIS and Cartography , Advantage in using GIS
4 Selecting Map Objects -Centroids on a Map,Radius select button Create temporary columns Perform queries
5 Customising Map Display , Labelling and editing a map
6 Working with Layouts -Produce a Layout window to output Maps, Browsers, graphs , legends, text or other graphic objects.
7 Assignment 1
8 Creating a Buffer
9 Building and Maintaining Tables - Create a table from scratch - Define a table structure (name, type, size of fields) Import .xls spatial data into MapInfo
10 Translating Files into MapInfo format -Use the Universal Translator to translate a Shape file
into MapInfo format
11 Using SQL Select command
12 Selecting using Queries -Create subset databases of your information by using the SQL Select function
13 Assignment 2
14 Joining Database Tables
15 Registering a Raster Image
16 Registering a Raster Image
17 Assignment 3
18 Modifying Graphic Objects

Learning Resources

Prescribed Texts

Acts and Regulations Occupational Health and Safety Commission.
Surveying, A Bannister and S Raymond, Pitman
Elementary Surveying, Elfick Fryer Brinkner Wolf, Harper Collins
Advanced-Engineering-Surveying-problems-and-solutions, F A Shepard, Arnold.


Other Resources - Online@RMIT – Program and Course information, documents, resources and links. - Land Channel (Victoria) - Survey Mark Enquiry Service, GPSnet, Maps & Images, Property Information, Land Management. - Institute of Surveyors, Australia - Mapping Sciences Institute, Australia - ANZLIC: Australian and New Zealand Spatial Information Council - Surveyors Board, Victoria – Survey Practice Handbook, Key Legislation for Surveyors. - Intergovernmental Committee on Surveying and Mapping - Standards and Practices for Control Surveys - Geoscience Australia – National Mapping Agency, Geocentric Datum of Australia, GPS

Overview of Assessment

A person who demonstrates competency in this unit must be able to provide evidence of:
• accurate record keeping
• applying solutions to a range of problems
• devising and implementing a cost-effective, functional solution
• examining suitability of existing arrangements
• measuring outcomes against specifications
• operational knowledge in a broad range of areas relating to linking
  datasets and knowledge management
• organising and prioritising activity
• performing a range of tasks where choice between a substantial
  range of options is required
• taking responsibility for own outputs in work and learning.

Assessment Tasks

Assessment of this unit will involve completion of Assignments and the Evaluation of portfolio, using a checklist, of the performance of elements of competence as designated for this unit to the required standard including collection methods and techniques related to the project objectives.

Observation, using a skills checklist, of performance of elements of competence as designated for this unit to the required standard during practical fieldwork exercises within a simulated workplace project.

Assessment will require demonstration of:

• Consistence performance of each element of the unit across a representative range of applications, autonomously and to requirements
• Performance criteria for each element of competence
• Underpinning knowledge and skills specified.

Context of Assessment:

This unit is to be assessed in a simulated workplace and under the normal range of work conditions.

Assessment Matrix

Element: 1 Confirm task        -           Assignment 1

Element: 2 Obtain spatial and attribute data - Assignment 1

Element: 3 Create resultant spatial dataset. - Assignment 2

Element: 4 Link spatial and attribute data. - Assignment 3

Element: 5 Test and validate spatial datasets. - Assignment 3

Course Overview: Access Course Overview