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Module

CEG3716 : Geospatial Informatics

  • Offered for Year: 2020/21
  • Module Leader(s): Dr Jin Xing
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

This module aims to expose students to the advanced GIS approaches employed in modern environmental applications. The module aims to teach the core theory and principles of how GIS spatial analysis can be employed as a fundamental tool in environmental applications; from data capture, management, analysis through to simulation modelling. The module will provide students with practical experience of how the techniques covered are applied in practice via computational implementation of this principles and theory covered. The module focuses on showing how, in combination, an integrated GIS computational approach can be applied to terrestrial environmental studies.

Outline Of Syllabus

The module will compromise of a range of taught theory and practical computer-based material that will demonstrate to students how GIS is used to perform analysis and modelling in terrestrial environmental applications. The module will cover the use of quantitative spatial analysis, spatial statistics and geostatistics in environmental studies. Spatial simulation modelling for terrestrial applications is introduced covering both the spatial modelling of the natural and built-environment. Aspects of how spatial analysis and models can be presented and visualised are also covered. Linked practicals will be used to expose students to the practise of geospatial informatics via an assessed project.

Teaching Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials151:0015:00Asynchronous online
Guided Independent StudyAssessment preparation and completion16:006:00Seminar reports
Guided Independent StudyAssessment preparation and completion17:007:00Assessment of Spatial Analysis
Structured Guided LearningAcademic skills activities33:009:00computer based practicals
Guided Independent StudyDirected research and reading141:0014:00Homework questions for review in future lectures/blackboard feedback
Scheduled Learning And Teaching ActivitiesPractical13:003:00present in person
Guided Independent StudyIndependent study116:0016:00Independent Seminar Study
Guided Independent StudyIndependent study130:0030:00Background reading and reading lecture notes for a full understanding of material
Total100:00
Teaching Rationale And Relationship

Lectures are used to present the underlying theory and principles of the use of GIS in environmental analysis. Practical sessions will allow students to apply the theory in relation to real world computational environmental applications. Seminars will expose students to cutting edge research and show how environmental applications routinely employ high-level spatial analysis/modelling concepts.

Alternatives will be offered to students unable to be present-in-person due to the prevailing C-19 circumstances.
Student’s should consult their individual timetable for up-to-date delivery information.

Assessment Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report1M50Spatial analysis computer practical
Written exercise1M50Independent research
Assessment Rationale And Relationship

The practical report will assess computational skills, understanding of algorithms and quantitative skills. Progress in non-assessed practicals will be confirmed by formative assessments to be completed within the practical session. The seminar synopsis report will develop independent research and critical review skills and assess ability to synthesise and present information.

Reading Lists

Timetable