Course Title: Integrate spatial datasets

Part B: Course Detail

Teaching Period: Term1 2011

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: engineering-tafe@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

William Ntuwah

william.ntuwah@rmit.edu.au

+61 3 9925 4445

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

NONE

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

Element:

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.

Element:

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 requirements.
3.4 Spatial and attribute data are linked according to specifications and industry standards.

Element:

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.

Element:

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.
5.4 All relevant documentation is completed according to organisational guidelines.
5.5 Quality and useability of datasets are ensured according to organisational guidelines.

Element:

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 the outcomes required to integrate spatial datasets 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.

Session/Date

Topic

Comments/Assessment
1/08 Feb 2011Introduction 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 2011Creating 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 2011Map 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 2011Displaying 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 2011Working 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 2011Attribute 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 2011Joining 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 2011Querying 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
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
15/17 May 2011 HOLIDAYNO CLASSES
16/24 May 2011 Class presentation

Each group to present findings
Class task
17 Revision 
18TEST 


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

http://www.rmit.edu.au/ - Online@RMIT – Program and Course information, documents, resources and links.
http://www.lands.vic.gov.au/ - Land Channel (Victoria) - Survey Mark Enquiry Service, GPSnet, Maps & Images, Property Information, Land Management.
http://www.isaust.org.au - Institute of Surveyors, Australia
http://www.mappingsciences.org.au - Mapping Sciences Institute, Australia
http://www.anzlic.org.au - ANZLIC: Australian and New Zealand Spatial Information Council
http://www.surveyorsboard.vic.gov.au - Surveyors Board, Victoria – Survey Practice Handbook, Key Legislation for Surveyors.
http://www.icsm.gov.au/ - Intergovernmental Committee on Surveying and Mapping - Standards and Practices for Control Surveys
http://www.ga.gov.au/ - 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:
• 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

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

Assessment TaskElement Percentage loading
Element 1Element 1,2,3,4 & 520%
Element 2Element 1,2,3,&4 .20%
Element 3Element 1&3.20%
TESTElement 1,2,3,4 & 540%

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