Course Title: Coordinate GIS data manipulation and analysis
Part B: Course Detail
Teaching Period: Term2 2020
Course Code: GEOM5157C
Course Title: Coordinate GIS data manipulation and analysis
School: 174T School of VE Engineering, Health & Science
Campus: City Campus
Program: C5368 - Diploma of Surveying
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
Teacher - Surveying
School of Vocational Engineering, Health and Science (SVEHS)
RMIT University
Building 51, Level 6, Room 10E
115 Queensberry St
Carlton 3053, Australia
Tel. +61 3 9925 9218
Email: gregory.patterson@rmit.edu.au
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 coordinate geographic information system (GIS) data manipulation and analysis to meet client specifications. The unit covers analysing client needs and GIS data format requirements and developing procedures; assessing the applicability of existing tools, models, theories and applications; and developing models to achieve the required outcome, including feasible parameters, equations and assumptions. The unit also covers verifying data source integrity and manipulating and analysing data for presentation. The unit requires the ability to use computers and GIS software as well as querying and programming languages to capture geographic information, obtain information from databases, and create layers on maps. It also requires the ability to comply with organisational and legal requirements relating to client consultation and data ownership.
The unit supports those who work in a lead role in a surveying or spatial information services team in areas such as surveying, town planning, cartography, mapping and GIS.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
CPPSIS5064 Coordinate GIS data manipulation and analysis |
Element: |
1. Prepare to meet client GIS data needs. |
Performance Criteria: |
1.1.Client requirements and project specifications for GIS data format are determined in consultation with appropriate persons. |
Element: |
2. Establish GIS data models. |
Performance Criteria: |
2.1.Applicability of existing tools, models, theories, applications and solutions is reviewed against project specifications. |
Element: |
3. Manipulate and analyse GIS data. |
Performance Criteria: |
3.1.Processes for data manipulation and analysis are determined and used to meet project specifications. |
Learning Outcomes
See elements above
Details of Learning Activities
You will learn to:
- Display spatial data on a map
• Classify features and rasters
• Query data
• Build a database
• Editing features and attributes
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.
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.
Teaching Schedule
Week |
Topic, Readings and Activities |
Assessment |
| 1 |
Session 1 (Introduction to Assessment) Assessment 1 - Task 1: Meet with client to discuss project requirements: Objectives, specifications and requirements
Session 2 (Portfolio: Part 1) You will be required to include all activities into a portfolio Introduction to Safe Software FME Activity 1: Schema Mapping
|
|
| 2 |
Session 1 and 2 (Portfolio Part 2) Activity 2: Process GNSS data using FME - To complete this activity, you will firstly use Microscoft excel to complete this exercise and then use FME to automate the process Activity 3: Determine Trig Heighting - To complete this activity, you will firstly use Microscoft excel to complete this exercise and then use FME to automate the process Activity 4: Create a workspace to translate zoning data in MapInfo TAB format to GeoJSON (Geographic JavaScript Object Notation) |
|
3 |
Session 1 and 2 (Portfolio Part 3) Ground Maintenance Project Activity 5a: Schema Editing Activity 5b: Structural Transformation Activity 5c: Calculating Statistics Activity 5d: Labeling Features Activity 5e: Neighborhood Average Activity 5f: Data Reprojection |
|
4 |
Session 1 (Assessment 1 - Task 1) 1. Review software requirements 2. Conduct research to identify spatial datasets required including metadata 3. Download the datasets and put into a folder called original
Session 2 (Portfolio Part 4) Activity 6: Examine city data to select a suitable neighborhood to live in |
|
5 |
Session 1 (Portfolio Part 5) Learn techniques to validate data obtained using FME Create FME workspaces used to validate the datasets
Session 2 (Assessment 1 - Task 3)
Validate data obtained to ensure data integrity. |
|
6 |
Session 1 (Assessment 1 - Task 3) Validate data obtained to ensure data integrity (Continued) Create an ESRI File Geodatabase and upload all datasets
Session 2 (Assessment 1 - Task 3) Re-project, Clip and upload all datasets into a File Geodatabase |
|
7 |
Session 1 (Assessment 1 - Task 4) Create a map using Safe Software FME Session 2 Continue work on Assessment
|
|
8 |
Session 1 and 2 (Assessment 1 - Task 5) 1. Complete workflow reflection 2. Upload Assessment 1 |
Assessment 1 Due - Friday 28 August 2020 |
|
Break |
|
9 |
Session 1 (Introduction to Assessment) Assessment 2 - Task 1: Meet with client to discuss / document project requirements: 1. Objectives, specifications and requirements 2. Software available to complete process 3. Format requirements 4. Procedures to be developed 5. Answer Questions 1 - 3
Session 2 (Portfolio: Part 1) You will be required to include all activities into a portfolio Activity 1: Integrate Datasets |
|
10 |
Session 1 (Assessment 1 - Task 2) 1. Review existing tools to complete the project 2. Conduct research to identify available datasets required 3. Create a flow chart showing the process required 4. Answer Questions 4 - 6
Session 2 (Portfolio: Part 2) Activity 2 - Cassowary Project using ESRI ArcGIS
|
|
11 |
Session 1 (Assessment 1 - Task 3) 1. Obtain datasets 2. Create and upload data into an ESRI File Geodatabase 3. Validate datasets using Data Validation Sheet 4. Validate data for errors 5. Correct errors identified using ESRI ArcGIS
Session 2 (Portfolio: Part 3) Activity 2 - Cassowary Project using ESRI ArcGIS
|
|
12 |
Session 1 (Assessment 1 - Task 3) 1. Correct errors identified using ESRI ArcGIS (Continued) 2. Transform data from linear features to polygons
Session 2 (Portfolio: Part 4) Activity 2 - Cassowary Project using Safe Software FME
|
|
13 |
Session 1 (Assessment 1 - Task 3) Safe Software FME 1. Create a data model that will correct errors and output to a polygon features
Session 2 (Portfolio: Part 5) Activity 2 - Cassowary Project using Safe Software FME (Continued)
|
|
14 |
Session 1 (Assessment 1 - Task 3) Safe Software FME 1. Add place names to island features 2. Merge datasets 3. Answer question 7 - 14
Session 2 (Portfolio: Part 6) Activity 2 - Cassowary Project using Safe Software FME (Continued)
|
|
15 |
Session 1 (Assessment 1 - Task 4) Safe Software FME 1. Output to Microsoft Excel 2. Output to ESRI File Geodatabase
Session 2 (Portfolio: Part 7) Activity 2 - Cassowary Project using Safe Software FME (Continued)
|
|
16 |
Session 1 and 2 (Assessment 1 - Task 4) Safe Software FME 1. Complete final mapping product 2. Answer question 15 |
|
17 |
Session 1 and 2 (Assessment 1 - Task 5) 1. Complete workflow reflection 2. Upload Assessment 2 |
Assessment 2 Due |
18 |
Learning Resources
Prescribed Texts
References
Other Resources
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
Overview of Assessment
Assessment Tasks
Students must pass each of the following assessment tasks to demonstrate competency
Assessment | |
Task 1 |
Assessment 1 |
Task 2 |
Assessment 2 |
Assessment Tasks
Students must pass each of the following assessment tasks to demonstrate competent.
Assessment |
Due date |
|
Task 1 |
Assessment 1 |
Week 8 |
Task 2 |
Assessment 2 |
Week 17 |
Assessment Matrix
Element |
Performance criteria |
|
|
|
|
Assessment Task1: Pirate Map |
Assessment Task 2: Map of Queensland (Poster) |
|
1. Prepare to meet client GIS data needs.
|
1.1. Client requirements and project specifications for GIS data format are determined in consultation with appropriate persons. |
Task 1 (1) |
Task 1 (1) |
1.2. Parameters for data manipulation and analysis are specified according to project specifications. |
Task 1 (2) Question 1 |
Task 1 (2) Question 1 |
|
1.3. New procedures for manipulating and analysing data to meet project specifications are documented. |
Task 1 (3) |
Task 1 (3) |
|
|
2. Establish GIS data models.
|
2.1. Applicability of existing tools, models, theories, applications and solutions is reviewed against project specifications. |
Task 2 (1, 2) |
Task 2 (1, 2) |
2.2. Feasible parameters, equations and assumptions are developed according to project specifications. |
Task 2 (2, 4) Question 5 |
Task 2 (2, 4) Question 5 |
|
2.3. Models are established to meet project specifications according to organisational requirements. |
Task 2 (4) |
Task 2 (4) |
|
3. Manipulate and analyse GIS data. |
3.1. Processes for data manipulation and analysis are determined and used to meet project specifications. |
Task 2 (4) Question 7 |
Task 2 (4) Question 7 |
3.2. Source data limitations and other restricting factors are analysed to ensure data integrity, and problems are identified and resolved or contingencies are managed. |
Task 3 (1) |
Task 3 (1) |
|
3.3. Data is isolated and retrieved from source, and interrogated to ensure reliability according to project specifications. |
Task 3 (2, 3) |
Task 3 (2, 3) |
|
3.4. Data is manipulated and prepared for presentation media, and project is finalised according to organisational requirements. |
Task 4 (1) |
Task 4 (1) |
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.
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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 lodgment 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.
Other Information:
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