Part B: Course Detail
Teaching Period: Term1 2022
Course Code: GEOM5189C
Course Title: Create spatial data
School: 530T Built Environment and Sustainability
Campus: City Campus
Program: C4417 - Certificate IV in Surveying and Spatial Information Services
Course Contact: Thierry Demathieu
Course Contact Phone: +61 3 9925 8359
Course Contact Email: thierry.demathieu@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Greg Patterson
Spatial Scientist and Surveying Teacher
School of Vocational Engineering, Health & Sciences
RMIT University
Building 56
Carlton, Vic, 3053, Australia
Phone: +61 400 231 518
Email: gregory.patterson@rmit.edu.au
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
None
Course Description
In this course you will develop the skills and knowledge required to validate spatial data and create a metadata statement. This includes evaluating project requirements and determining appropriate quality checks for the data. The course also includes applying industry-accepted methodologies to assess the validity and integrity of data.
This course is suitable for skilled surveying technicians and skilled spatial information system (SIS) technicians who use a broad range of cognitive, technical and communication skills to select and apply methods and technologies to analyse information and provide solutions to sometimes complex surveying/spatial information problems.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
CPPSSI5035 Create spatial data |
Element: |
1. Prepare to create spatial data |
Performance Criteria: |
1.1 Confirm project requirements in consultation with appropriate person. 1.2 Determine acceptance levels of data quality required for project in consultation with appropriate person. 1.3 Select data creation methods and resources including source data to meet project requirements. 1.4 Select data validation methods to meet project requirements. 1.5 Comply with legislative requirements, including data privacy, copyright and licensing while undertaking the project. |
Element: |
2. Create spatial data |
Performance Criteria: |
2.1 Access required data resources. 2.2 Create spatial data using geographic information system (GIS) application tools. 2.3 Use topological rules to define permissible relationships between features. 2.4 Resolve numerical and topological errors arising through processing. 2.5 Store spatial data according to organisational requirements. |
Element: |
3. Validate spatial data quality |
Performance Criteria: |
3.1 Use industry-accepted methods for evaluating the consistency, precision, accuracy and completeness of spatial data according to project specifications. 3.2 Resolve data quality issues in spatial data. 3.3 Identify and record the limitations of the spatial data according to organisational requirements. |
Element: |
4. Prepare metadata statement |
Performance Criteria: |
4.1 Document the validated dataset by completing a metadata statement according to organisational requirements. 4.2 Complete and file documentation according to organisational requirements. 4.3 Advise relevant users of the availability of the metadata according to organisational requirements. |
Learning Outcomes
On successful completion of this course you will have developed and applied the skills and knowledge required to demonstrate competency in the above elements.
Details of Learning Activities
You will learn to:
- Consult with client to confirm requirements
- Use GIS software to display, edit, integrate, problem solve, validate and update data, vector, raster and non-spatial.
- Perform backup and recovery operations
- Prepare metadata statements for spatial datasets
- Archive spatial and non-spatial datasets
The total number of scheduled hours of teaching, learning and assessment involved in this course includes all planned activities (face to face classes, lectures, workshops and seminars; workplace visits, online learning and other forms of structured teaching and learning). It also covers the amount of effort necessary to undertake, evaluate and complete all assessment requirements, observation of work performance, discussions with supervisors and others providing third party evidence and one on one and group assessment sessions with students.
Teaching Schedule
| Week 1 |
- Meet with teacher and students - Subject / Assessments - GIS Software - Part 2: Ensure safe screen-based work environment |
Meet and greet Introduction to subject / assessment requirements Lesson: Introduction to ESRI ArcGIS Software Activity: Complete online OHS Document |
|
| Week 2 |
Project work / Assessment 1 Part 1: Identify project requirements and specifications Part 3: Download and validate required datasets |
Lessons: 1. Data Sources 2. Data Formats 3. Data Types 4. Spatial References (Projections, Datums and Coordinate Systems) 5. Legislative requirements - Copyright Assessment activity: 1. Meet and discuss / document project requirements 2. Complete minutes 3. Complete Data Validation Sheet |
|
| Week 3 |
Project work / Assessment 1 Part 4: Locate and record errors |
Lessons 1. Clipping datasets 2. Integrating Datasets 3. Error identification 4. Editing attributes Assessment activity: 1. Clip and upload datasets 2. Integrate datasets 3. Identify error locations 4. Update attribute fields |
|
| Week 4 |
Project work / Assessment 1 Part 5: Remove identified errors |
Assessment activity: Update features and attributes |
|
| Week 5 |
Project work / Assessment 1 Part 6: Capture and integrate spatial data |
Lesson: 1. Capture Edit and Dissolve features Assessment activity: 1. Capture Features 2. Dissolve features 3. Create building points 4. Create new roads |
|
| Week 6 |
Project work / Assessment 1 Part 7: Validate and resolve errors |
Lessons: 1. Topology 2. Validation techniques Assessment activity: Validate data using topology report |
|
| Week 7 |
Project work / Assessment 1 Part 7: Validate and resolve errors (Cont) |
Lesson: 1. Backup and recovery Assessment activity: 1. Implement backup schedule |
|
| Week 8 |
Project work / Assessment 1 Part 8: Prepare Metadata Statement |
Lesson: 1. Metadata Assessment activity: 1. Prepare Metadata Statement |
|
| Week 9 |
Project work / Assessment 1 Part 9: Final Report (Portfolio) Part 10: Archive information |
Assessment activity: 1. Complete Portfolio 2. Archive Information |
|
| Week 10 |
Project work / Assessment 2 Part 1: Identify project requirements and specifications Part 3: Download and validate required datasets |
Assessment activity: 1. Meet and discuss / document project requirements 2. Complete minutes 3. Complete Data Validation Sheet |
|
| Week 11 |
Project work / Assessment 2 Part 4: Locate and record errors Part 5: Remove identified errors |
Assessment activity: 1. Clip and upload datasets 2. Integrate datasets 3. Identify error locations 4. Update attribute fields 5. Update features and attributes |
|
| Week 12 |
Project work / Assessment 2 Part 6: Capture and integrate spatial data |
Assessment activity: 1. Capture Features 2. Dissolve features 3. Create building points 4. Create new roads |
|
| Week 13 |
Project work / Assessment 2 Part 7: Validate and resolve errors |
Assessment activity: 1. Implement backup schedule |
|
| Week 14 |
Project work / Assessment 2 Part 8: Prepare Metadata Statement |
Assessment activity: 1. Prepare Metadata Statement |
|
| Week 15 |
Project work / Assessment 2 Part 9: Final Report (Portfolio) |
Assessment activity: 1. Complete Portfolio |
|
| Week 16 |
Project work / Assessment 2 Part 10: Archive information |
Assessment activity: 1. Archive Information |
Learning Resources
Prescribed Texts
References
Other Resources
Overview of Assessment
Assessment for this course is ongoing throughout the semester. Your knowledge and understanding of course content is assessed through participation in class exercises, oral presentations and through the application of learned skills and insights to your written tasks. Full assessment briefs will be provided and can be found on CANVAS.
Assessment Tasks
- Assessment 1: Asset Management
- Assessment 2: Data Maintenance
Assessment Matrix
Mapping Assessments to the Unit of Competency – Instructions
Foundation skills |
Foundation skills essential to performance are explicit in the performance criteria of this unit of competency. |
Performance Evidence | ||
A person demonstrating competency in this unit must satisfy the requirements below |
Assessment Task 1 Data Capture and Editing |
Assessment Task 2 Data Validation |
To demonstrate competency a candidate must meet the elements and performance criteria of this unit by creating and validating three spatial datasets comprising the spatial data types of point, line and polygon. | ||
|
Each of the spatial datasets must incorporate attribute data and use geoprocessing functions of:
|
4D, 5C, 6A, 6B, 7A |
4A, 4D, 5A- 5C. |
Knowledge Evidence | ||
To be competent in this unit a candidate must demonstrate knowledge of: |
Assessment Task 1 Data Capture and Editing Part 1 |
Assessment Task 2 Data Validation |
Spatial data quality features |
1C |
1C |
|
AS/NZS ISO 19115-1:2015 Geographic information – Metadata Fundamentals:
|
8A |
8A |
Key features of spatial reference systems |
4C |
4C |
Geometry and attributes of spatial datasets |
5B |
5B |
Methods for validating spatial datasets |
1E |
1E |
Reliable source of data |
1D |
1D |
Spatial data types |
3E |
3E |
Spatial data capture methodologies |
6A |
6A |
Spatial data formats and structures |
1I |
1I |
Industry-accepted standards relating to validating spatial data |
1E |
1E |
Metadata standard AS/NZS ISO 19115.1:2015 Geographic information – Metadata Fundamentals |
8A |
8A |
Assessment conditions |
Describe how assessments meet the assessment conditions |
Assessors must meet the requirements for assessors contained in the Standards for Registered Training Organisations. |
RMIT employment requires all trainers and assessors to comply with the Standards for RTOs in respect to holding the TAE40116, or higher VE qualification including any necessary updated units. All employees must show currency within their vocational specialty along with their professional employment. |
Competency is to be assessed in the workplace or a simulated environment that accurately reflects performance in a real workplace setting where these skills and knowledge would be performed. |
Assessments reflect the workspace environment. Assessors to have appropriate industry experience and knowledge. Students have access to computers with the latest GIS software packages during scheduled class times that comply with current industry practices. |
Candidates must have access to: | |
Computer with appropriate software for spatial data management |
All labs will have the appropriate computers and software installed. Software that students required include:
Students will have access to additional software through Office 365. The students can sign in with your RMIT email address and password. |
Organisational procedures relating to data privacy, copyright and licensing |
Students will be provided the appropriate links where they can access the links to obtain the information |
Other Information
Credit Transfer and/or Recognition of Prior Learning (RPL):
You may be eligible for credit towards courses in your program if you have already met the learning/competency outcomes through previous learning and/or industry experience. To be eligible for credit towards a course, you must demonstrate that you have already completed learning and/or gained industry experience that is:
- Relevant
- Current
- Satisfies the learning/competency outcomes of the course
Please refer to http://www.rmit.edu.au/students/enrolment/credit to find more information about credit transfer and RPL.
Study Support:
Study Support provides free learning and academic development advice to you.
Services offered by Study Support to support your numeracy and literacy skills are:
assignment writing, thesis writing and study skills advice
maths and science developmental support and advice
English language development
Please Refer https://www.rmit.edu.au/students/study-support to find more information about Study and learning Support
Equitable Learning Services (ELS):
If you are suffering from long-term medical condition or disability, you should contact Equitable Learning Services (ELS) to seek advice and support to complete your studies.
Please refer to https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services to find more information about services offered by Equitable Learning Services (ELS).
Late submission:
If you require an Extension of Submittable Work (assignments, reports or project work etc.) for 7 calendar days or less (from the original due date) and have valid reasons, you must complete and lodge an Application for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.
The application must be lodged no later than one working day before the official due date. You will be notified within no more than 2 working days of the date of lodgement as to whether the extension has been granted.
If you seek an Extension of Submittable Work for more than 7 calendar days (from the original due date) must lodge an Application for Special Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days after the official due date.
Submittable Work (assignments, reports or project work etc.) submitted late without approval of an extension will not be accepted or marked.
Special consideration:
Please Refer https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/assessment/special-consideration to find more information about special consideration
Academic Integrity:
"Academic integrity means acting with the values of honesty, trust, fairness, respect and responsibility in learning, teaching and research."
It means referencing the work of others while developing your own insights, knowledge and ideas.
Breaches of academic integrity include:
- plagiarism and failure to correctly acknowledge sources
- contract cheating or paying/getting another person to prepare an assignment
- submitting work prepared by another person
- copying other people’s work
- cheating in exams
- breaching the Research Code
- using unauthorised materials or devices
Please Refer: https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/academic-integrity to find more information about plagiarism.
All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.
Students will be able to access course information and learning materials through the Learning Hub and may be provided with additional materials in class. Lists of relevant reference books, resources in the library and accessible Internet sites will be provided where possible. You will also use equipment and software packages in the laboratory for the project work. During the course, you will be directed to websites to enhance your knowledge and understanding of difficult concepts
Check the Library Subject Guides: http://rmit.libguides.com/geospatial
Course Overview: Access Course Overview