EVB203 Geospatial Information Science
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | EVB203 |
|---|---|
| Prerequisite(s): | Completion of 48 credit points, or enrollment in ST20 |
| Equivalent(s): | UDB181 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,118 |
| Domestic tuition unit fee | $4,680 |
| International unit fee | $5,244 |
Unit Outline: Semester 1 2024, Gardens Point, Internal
| Unit code: | EVB203 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | Completion of 48 credit points, or enrollment in ST20 |
| Equivalent: | UDB181 |
| Coordinator: | Catherine Kim | cat.kim@qut.edu.au |
Overview
This unit introduces the theory and concepts of digital geographic information science with a focus on the interpretation of earth and environmental data from observations and sources like remote sensing and climate data. Students record and create geospatial information that they share and combine to class data sets for mapping and analysis. Environmental datasets are also accessed, collected, and analysed with data science concepts such as open software and data discussed. Cartographic products are created to respond research questions about spatial patterns and environmental variability. Thus, a final report assessment demonstrates spatial analytical thought by analysing and discussing possible explanations to the patterns identified in the data. This unit will engage students to think spatially about processes and patterns; and create informative and accurate geographic information and reporting products based on real world geospatial datasets.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain the nature of spatial data organization, concepts, and spatial referencing systems.
- Apply spatial data collection skills combining GPS technologies and remote sensing/digital datasets
- Integrate geospatial analysis and information for evaluation and analysis of spatially related environmental data
- Produce a scientific report to communicate results based on the integration and analysis geospatial information
Content
- Structure and organisation of geographical data and spatial data in digital environments.
- Spatial referencing systems, both local and global.
- Elements of the global positioning system including the space segment, control segment and user segment; GPS mission planning; error sources and accuracy.
- Spatial structure, patterns, and sampling considerations.
- Introductory applications of GIS and remote sensing for supporting environmental decision-making.
- Spatial analyses and geoprocessing to create information from data.
- Cartographic communication and visual representation of multi-dimensional digital mapping data.
Learning Approaches
This unit is available in both on-campus and online mode. This unit utilises formal and interactive lectures, including a series of applied tutorials with field and computer-based exercises to gain knowledge of and skills in manipulation and analysis of geospatial information.
Lectures provide the scientific background for a series of tutorials assisting the development of your geospatially focused problem-solving skills. In the tutorials, several real-world challenges will be explored by working individually or in small teams to collect, evaluate, analyse, and synthesise geospatially related information. You are expected to solve problems with minimum guidance from the tutor and share the understanding and experience. You will develop analytical and problem-solving skills while working independently and within small teams using some blended learning approaches. Fieldwork based learning activities develop your practical skills in data collection and recording, analysis, synthesis, and communication. A range of physical and digital resources will be made available to enhance your learning.
You can expect to spend 10 - 15 hours per week involved in preparing for and attending all scheduled tutorial, completing assessment tasks, and undertaking your own independent readings to consolidate your learning.
Feedback on Learning and Assessment
You will receive feedback on assessment through the following mechanisms:
Early feedback (formative) on problem solving task to assess and improve your skills.
Collaborative peer and teacher feedback on practical tasks in labs (formative, to help you find out how your work is progressing) and summative written feedback (to grade your work against expected outcomes).
Assessment
Overview
The assessment for this unit follows the assessment policy stated in section 9.1.1 http://www.mopp.qut.edu.au/C/C_09_01.jsp Manual of Policies and Procedures (MOPP).
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Cartographic Product (Vectors and raster manipulation)
Geospatial Information Applications
You will conduct and report on practical activities including:
(a) Digital mapping and cartographic outcomes
(b) Data collation and analysis of results
(c) GIS and Remote Sensing evaluation and analysis skills
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Scientific Report (Analysing the spatial pattern of environmental variables in Brisbane City)
Organization, Analysis, and Communication of Spatial Data
You will conduct and report on practical activities including:
(a) Spatial Analysis Skills
(b) Demonstration of Spatial Data Skills
(c) Scientific writing, reporting, and communication
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Quizzes (Timed Online Assessment)
Knowledge based assessment through 3 quizzes over the semester on geospatial Information knowledge based on material covered in lectures and tutorials.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
There are no set specific texts for this unit. Recommendable material (links, readings) will be given every week. However, the use of specified course materials available through the library is strongly encouraged. Some suggested books include:
Author: Hoalst-Pullen and Patterson
Title: Geospatial Technologies in Environmental Management
Year: 2010. Publisher: Springer, New York Edition: First
Author: Bossler, Campbell, McMaster, Rizos.
Title: Manual of Geospatial Science and Technology
Year: 2010. Publisher: CRC Press Edition: Second
Author: Karimi, Hassan A., editor.
Title: Geospatial data science techniques and applications
Year: 2018. Publisher: Boca Raton, Florida; London, England : CRC Press
Author: McHaffie, Patrick, et al.
Title: Gis : An Introduction to Mapping Technologies
Year: 2018. Publisher: Taylor & Francis Group.
Risk Assessment Statement
You will undertake lectures and/or tutorials in traditional classrooms and computer laboratories. As such, there are no extraordinary workplace health and safety issues associated with these components of the unit. However, you will be required to undertake an off campus field practical of a supervised and self-guided nature. A formal risk assessment for the practical has identified only low impact risks. An on-site safety briefing will be given at commencement of the practical sessions.
Unit Outline: Semester 1 2024, Online
| Unit code: | EVB203 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | Completion of 48 credit points, or enrollment in ST20 |
| Equivalent: | UDB181 |
Overview
This unit introduces the theory and concepts of digital geographic information science with a focus on the interpretation of earth and environmental data from observations and sources like remote sensing and climate data. Students record and create geospatial information that they share and combine to class data sets for mapping and analysis. Environmental datasets are also accessed, collected, and analysed with data science concepts such as open software and data discussed. Cartographic products are created to respond research questions about spatial patterns and environmental variability. Thus, a final report assessment demonstrates spatial analytical thought by analysing and discussing possible explanations to the patterns identified in the data. This unit will engage students to think spatially about processes and patterns; and create informative and accurate geographic information and reporting products based on real world geospatial datasets.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain the nature of spatial data organization, concepts, and spatial referencing systems.
- Apply spatial data collection skills combining GPS technologies and remote sensing/digital datasets
- Integrate geospatial analysis and information for evaluation and analysis of spatially related environmental data
- Produce a scientific report to communicate results based on the integration and analysis geospatial information
Content
- Structure and organisation of geographical data and spatial data in digital environments.
- Spatial referencing systems, both local and global.
- Elements of the global positioning system including the space segment, control segment and user segment; GPS mission planning; error sources and accuracy.
- Spatial structure, patterns, and sampling considerations.
- Introductory applications of GIS and remote sensing for supporting environmental decision-making.
- Spatial analyses and geoprocessing to create information from data.
- Cartographic communication and visual representation of multi-dimensional digital mapping data.
Learning Approaches
This unit is available in both on-campus and online mode. This unit utilises formal and interactive lectures, including a series of applied tutorials with field and computer-based exercises to gain knowledge of and skills in manipulation and analysis of geospatial information.
Lectures provide the scientific background for a series of tutorials assisting the development of your geospatially focused problem-solving skills. In the tutorials, several real-world challenges will be explored by working individually or in small teams to collect, evaluate, analyse, and synthesise geospatially related information. You are expected to solve problems with minimum guidance from the tutor and share the understanding and experience. You will develop analytical and problem-solving skills while working independently and within small teams using some blended learning approaches. Fieldwork based learning activities develop your practical skills in data collection and recording, analysis, synthesis, and communication. A range of physical and digital resources will be made available to enhance your learning.
You can expect to spend 10 - 15 hours per week involved in preparing for and attending all scheduled tutorial, completing assessment tasks, and undertaking your own independent readings to consolidate your learning.
Feedback on Learning and Assessment
You will receive feedback on assessment through the following mechanisms:
Early feedback (formative) on problem solving task to assess and improve your skills.
Collaborative peer and teacher feedback on practical tasks in labs (formative, to help you find out how your work is progressing) and summative written feedback (to grade your work against expected outcomes).
Assessment
Overview
The assessment for this unit follows the assessment policy stated in section 9.1.1 http://www.mopp.qut.edu.au/C/C_09_01.jsp Manual of Policies and Procedures (MOPP).
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Cartographic Product (Vectors and raster manipulation)
Geospatial Information Applications
You will conduct and report on practical activities including:
(a) Digital mapping and cartographic outcomes
(b) Data collation and analysis of results
(c) GIS and Remote Sensing evaluation and analysis skills
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Scientific Report (Analysing the spatial pattern of environmental variables in Brisbane City)
Organization, Analysis, and Communication of Spatial Data
You will conduct and report on practical activities including:
(a) Spatial Analysis Skills
(b) Demonstration of Spatial Data Skills
(c) Scientific writing, reporting, and communication
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Quizzes (Timed Online Assessment)
Knowledge based assessment through 3 quizzes over the semester on geospatial Information knowledge based on material covered in lectures and tutorials.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
There are no set specific texts for this unit. Recommendable material (links, readings) will be given every week. However, the use of specified course materials available through the library is strongly encouraged. Some suggested books include:
Author: Hoalst-Pullen and Patterson
Title: Geospatial Technologies in Environmental Management
Year: 2010. Publisher: Springer, New York Edition: First
Author: Bossler, Campbell, McMaster, Rizos.
Title: Manual of Geospatial Science and Technology
Year: 2010. Publisher: CRC Press Edition: Second
Author: Karimi, Hassan A., editor.
Title: Geospatial data science techniques and applications
Year: 2018. Publisher: Boca Raton, Florida; London, England : CRC Press
Author: McHaffie, Patrick, et al.
Title: Gis : An Introduction to Mapping Technologies
Year: 2018. Publisher: Taylor & Francis Group.
Risk Assessment Statement
You will undertake lectures and/or tutorials in traditional classrooms and computer laboratories. As such, there are no extraordinary workplace health and safety issues associated with these components of the unit. However, you will be required to undertake an off campus field practical of a supervised and self-guided nature. A formal risk assessment for the practical has identified only low impact risks. An on-site safety briefing will be given at commencement of the practical sessions.