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: email@example.com
Name and Contact Details of All Other Relevant Staff
+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
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.
2.1 Sources are determined consistent with specifications using relevant metadata.
2.6 Exception reports are referred to relevant personnel.
3 Create resultant spatial dataset.
3.1 Filtering parameters are established in line with scientific accuracy, redundancy, and client and organisational requirements.
4 Link spatial and attribute data.
4.1 Method required for referencing the location of the attribute data is identified.
5 Test and validate spatial datasets.
5.1 Test queries are determined and implemented to ensure spatial datasets meet specifications.
1 Confirm task
1.1 Client specifications are analysed to determine specific needs and required 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.
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.
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 WebHelp & Online Forum
o ArcGIS Products available at RMIT (SOETFolder)
o GIS software (Advantages and disadvantages) - Covering element 1
| Brief overview of semester 1
|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
|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
|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
|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
|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
|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 |
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
|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
|10/12 April 2011|| Analysing feature relationships |
Prepare data for analysis- Covered in element 1
Clip layers - Covered in element 3
Export data- Covered in element 4
Create graphs -Covered in element 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
|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
|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
|15/17 May 2011||HOLIDAY||NO CLASSES|
|16/24 May 2011|| Class presentation |
Each group to present findings
Acts and Regulations Occupational Health and Safety Commission.
http://www.rmit.edu.au/ - Online@RMIT – Program and Course information, documents, resources and links.
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.
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.
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 Task||Element||Percentage loading|
|Element 1||Element 1,2,3,4 & 5||20%|
|Element 2||Element 1,2,3,&4 .||20%|
|Element 3||Element 1&3.||20%|
|TEST||Element 1,2,3,4 & 5||40%|
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