Course Title: Collate and interpret spatial data

Part B: Course Detail

Teaching Period: Term1 2011

Course Code: GEOM5102C

Course Title: Collate and interpret spatial data

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

William Ntuwah

+61 3 9925 4445

Nominal Hours: 20

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 collate and interpret spatial data to provide the dataset required for project deliverables, often in a supervisory capacity. It requires the ability to apply theoretical spatial concepts to a range of situations in order to identify and interpret the appropriate information, according to client requirements. Functions would be carried out within organisational guidelines.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

CPPSIS5010A Collate and interpret spatial data


1 Access data

Performance Criteria:

1.1 Spatial datasets are retrieved from relevant data storage.
1.2 Data is manipulated into an appropriate format to meet client specifications.
1.3 Requirements for spatial data and constraints are identified through consultation with client or relevant personnel and outcomes are recorded according to organisational guidelines.


2 Query and interpret data.

Performance Criteria:

2.1 Relevant sources and data are identified and accessed.
2.2 Data is queried and interpreted using appropriate equipment or software package according to client requirements.2.3 Data is verified for relevance using descriptive and analytical techniques.
2.4 Irregularities are resolved using initiative.
2.5 Skills and knowledge are updated to accommodate changes in data.
2.6 Results are recorded and documented according to organisational and client requirements.
2.7 OHS requirements are planned for and adhered to.


3 Collate data

Performance Criteria:

3.1 Spatial and aspatial requirements are collated to meet organisational needs.
3.2 Most appropriate format and database are selected according to organisational requirements.
3.3 Legal and ethical requirements are addressed.


4 Test and validate collated spatial data.

Performance Criteria:

4.1 Tools for testing the validity of the information and data are identified and accessed or developed.
4.2 Links with other functional areas and management systems are identified and facilitated to ensure comprehensive information and data collection.
4.3 Quality and useability of data are ensured according to organisational guidelines.

Learning Outcomes

Refer to elements

Details of Learning Activities

Teacher led :

Classroom &/or tutorial instruction  in the outcomes required to collate and interpret spatial data to provide the dataset required for project deliverables,and tasks associated with the elements above including the use of computers and relevant software/s, capabilities of survey methodologies and technologies in a simulated workplace environment.

Student managed:

Develop data management strategies to determine suitable sources of information for the creation of new spatial data sets to industry standards.
Participation in group activities based on simulated workplace exercises.
Individual exercises carrying out research, computations, data compilation and appraisal.

Teaching Schedule

This is an indicative teaching schedule, refer to the Blackboard for any changes or announcements.





1/08 Feb 2011

Introduction to GIS

• Esri Introduction
   o Background
   o Products
   o Websites
   o WebHelp & Online Forum
   o ArcGIS Products available at   RMIT (SOETFolder)
   o GIS software (Advantages and  disadvantages)  - Covering element 1 


Brief overview of semester 1

Class task

2/ 15 Feb 2011

Creating Map
(Mapping in Layers)

Add data into ArcMap
• Edit.shp Symbology
• Zoom in /Out - Covering element 1

Change the order of layers - Covering element 2


 Class task
3/22 Feb 2011

Map layout

• Identify Good and Bad layouts
• Use of symbology
• Layout rules
• Good and Bad Cartography - Covering element 1
• Add Legend, Title, Scale Bar, North Arrow, RMIT logo and notes- Covering element 3

• Create personal layout file (.mxt)
• Add X & Y data to a map - Covering element 3

• Draw graphics to a Map - Covering element 4


 Class task
4/1 March 2011

Displaying Data

• Change display symbols covering element 1

• Identify features- covering element 2

• Identify features - covering elent 3

• Insert map elements covering element 5

 • Lay out a map - coverinf elent 4

 Class task
5/8 March 2011

Working with Geographic features

Map  each land use type covering element 1

• Add data to your map-covered in element 2

• draw features based on an attribute  - Covered in element 3

• Select specific features - Covered in element 4


Assignment 1
6/15 March 2011

Attribute table

• Define each field in the table- Covered in element 1

• Verify linkage of attribute data and spatial data with unique feature ID- Covered in element - Covered in element 4

• Manipulate Fields and Attribute data
    Add and delete field  
    Classify attribute data - Covered in element 5

• Import files in delimited text, dBASE and Excel - Covered in elment 5

Class Task
7/22 March 2011

Joining Tables

Get information about features-Covered in element 1

Combine attribute data from different tables into a single table - Covered in element 3

Establish two relates among three tables - Covered in element 3

 Create new attribute by data classification- Covered in element 3 

Use advanced method for attribute data classification-Covered in element 4


 Class Task

Assignment 1 Due date

8/29 March 2011

Querying Data
Theory/Prac Test

  Analyse feature relationships-   Covered in element 1

Retrieve a data subset by attribute data query - Covered in element 2

Retrieve a data subset by combining tribute and location queries -Covered in element 2

Class Task
9/5 April 2011

Querying Data

Select features by Cursor
Select features by Graphic
Select features by Spatial Relationship
Query by cell value - Covered in element  2

 Class task
10/12 April 2011

 Analysing feature relationships

 Prepare data for analysis- Covered in element 1

Dissolve features
Clip layers - Covered in element 3

Export data- Covered in element 4

 Create graphs -Covered in element 2



Class Task

Assignment 2


11/19 April 2011

 Creating and Editing data

 Building geodatabases - Covered in element 1

Create a personal geodatabase-Covered in element 3

 Create feature classes 
Add fields and domains- Covered in element  4

Class Task
12/26 April 2011

 Creating and Editing data

Draw features
• Use feature construction tools- Covered in element  3

• Edit feature attribute values

• Delete and modify features
• Split and merge features -Covered in element 4 


Class Task
13/3 May 2011

 Research and Presentation

Use the library for research - Covered in element 1

Assignment 2 Due date
14/10 May 2011

 Analysing Spatial data

Buffer features - Covered in element 1

Overlay data-Covered in element 4

 Calculate attribute values-Covered in element 5

 Class Task
16/24 May 2011

Class presentation

Each group to present findings

Class Task
17/31 May 2011 Revision 
18/7 June 2011TEST 

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.
MapInfo Manual

References - 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

Other Resources

Overview of Assessment

A person who demonstrates competency in this unit must be able to provide evidence of:
• taking responsibility for own outputs in work and learning
• using relevant data by manipulating and analysing it to meet the client’s requirements, including:
• applying operational knowledge in a broad range of areas relating to linking datasets and knowledge management
• applying organisational skills and prioritising activity
• applying solutions to a range of problems
• devising and implementing a cost-effective functional solution
• examining suitability of existing arrangements
• keeping records accurately
• measuring outcomes against specifications
• performing a range of tasks where choice between a substantial range of options is required.

Assessment Tasks

Grading Criteria
NYC 0-49% Not yet competence
CP 50 – 59% Competence
CCR 60 – 69% Competence with credit
CDI 70 – 79% Competence with distinction
CHD 80-100% Competence with high distinction.

 Academic Misconduct
Students are reminded that cheating, whether by fabrication, falsification of data, or plagiarism, is an offence subject to University disciplinary procedures. Plagiarism in oral or written presentations is the presentation of the work, idea or creation of another person, without appropriate referencing, as though it is one’s own. Plagiarism is not acceptable. The use of another person’s work or ideas must be acknowledged. Failure to do so may result in charges of academic misconduct which carry a range of penalties including cancellation of results and exclusion from your course. Students are responsible for ensuring that their work is kept in a secure place. It is also a disciplinary offence for students to allow their work to be plagiarized by another student. Students should be aware of their rights and responsibilities regarding the use of copyright material. It is strongly recommended that students refer to the RMIT 2001 Guidelines for Students or to the RMIT University Homepage.

Assessment 1 = Assignment 20% due Week 7
Assessment 2 = Assignment 20% due Week 13
Assessment 3 = Presentation 20% on Week 16
Assessment 4 =TEST 40% on Week 18

Assessment Matrix

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


Assessment TaskElement Percentage  loading
Assignment 1Element 1,2,3,4 & 5    20%
Assignment 2Element 1,2,3,&4     20%
Assignment 3Element 1&3    20%
TESTElement 1,2,3,4 & 5    40%

Other Information


Course Overview: Access Course Overview