School of Environment


Geographic Information Science courses

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GEOG 771: Spatial Analysis and Geocomputation


Approaches and challenges to analysing spatial data. Specific techniques covered will include measures of spatial autocorrelation, geographical regression, point pattern analysis, interpolation, overlay analysis, and an introduction to some of the newer geocomputation methods such as neural networks and cellular automata. Students will conduct a significant analysis task as part of this course. 

Students will gain an advanced knowledge of spatial analysis and be well-prepared for postgraduate research or professional. 

This course is taught in: Second Semester, City Campus (S2 C)

Format: one 2-hour class each week
Points:
15
Assessment:
60% coursework, 40% final examination
Prerequisites:
No formal prerequisite but an understanding equivalent to GEOG 318 or GISCI 342 will be assumed.
Programme:
this is one of the core options for the Geography, Earth Sciences and Environmental Science programmes
Course coordinator: 
 Katarzyna Sila-Nowicka

GEOG 771: Spatial Analysis and Geocomputation
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GEOG 772: Advanced Raster Data Analysis


Concepts and theories underpinning digital analysis of raster data, including remotely sensed data, LiDAR data and digital elevation models. Sources, nature and accuracy of raster data, analysis and integration of raster data from diverse sources, and applications of raster data analysis in hydrology and environmental modelling.

This course is taught in: First Semester, City Campus (S1 C)

Format: one 2-hour lecture per week, plus one hour labs
Points: 15
Assessment: 60% coursework, 40% final examination
Prerequisites: no formal prerequisite but an understanding equivalent to GEOG 317 is assumed
Programme: this is one of the core options for the Geography and Earth Sciences programmes
Course coordinator: Jay Gao

GEOG 772: Advanced Raster Data Analysis
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GEOG 774: Advanced Spatial Data Handling


Advanced approaches to spatial data handling (processing, management, visualization, and analysis) in web-based environments, including theoretical debates and implications as well as applications for spatial data handling in integrated open-source and web-based mapping/GIS environments. There will be an applied laboratory component and lecture/seminar component where the broader social and theoretical implications of developments in spatial data handling will be engaged.

This course is taught in: Second Semester, City Campus (S2 C)

Format: one 2-hour lecture and one 2-hour laboratory per week in alternate weeks
Points: 15
Assessment: 100% coursework
Prerequisites: No formal prerequisite, but an understanding equivalent to GEOG 318 will be assumed.
Programme:
this is one of the core options for the Geography programmes
Course coordinator: Michael Martin

 

ENVSCI 704: Modelling of Environmental Systems


The following themes are emphasised: (i) building and using models to investigate environmental and social problems, (ii) understanding the utility of modelling in various disciplines, and (iii) appreciating how dynamic phenomena can be represented and analysed computationally. The course provides an understanding of modelling concepts, approaches and applications, and methods for determining the suitability of a particular modelling approach for a given task.

This course is taught in: Second Semester, City Campus (S2 C)

Format: One 2-hour lecture and one 2-hour lab per week
Points:
15
Assessment: 100% coursework
Prerequisites: no formal requirement, but knowledge equivalent to that covered in courses such as STATS 101, MATH 108, GEOG 250, BIOSCI 209, ENVSCI 310 will be assumed
Programme: this is one of the core options for the Environmental Science and Geography programmes
Course coordinator:  Giovanni Coco

ENVSCI 704: Modelling of Environmental and Social Systems
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