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KISS DTC
King’s Interdisciplinary Social Science Doctoral Training Centre
Advanced Research Methods in the Social Sciences
KISS237 GEOGRAPHICAL INFORMATION SYSTEMS 2:
RASTER AND VECTOR ANALYSES
Dr Mark Mulligan
[email protected]
Geography
2015/16
Spring
Short Course
Various, Strand campus
5
2 hours (3-5pm)
K-1.027/-1.028 King’s
Building
K-1.027/-1.028 King’s
11 March 2016
Building
K-1.027/-1.028 King’s
18 March 2016
Building
K-1.027/-1.028 King’s
25 March 2016
Building
1 April 2016
S-1.22 Strand Building
The course introduces students to spatial analysis in the context of
Geographic Information Systems (GIS). The role and functionality of
GIS will be described theoretically and demonstrated practically
using the most commonly used proprietary and open source GIS
packages including ArcView, ArcGIS, SAGAGIS and QGIS. At the end
of the course students should be able to: carry out spatial analysis,
spatial queries and spatial data modelling and understand the role
of GIS in spatial planning and decision making processes.
4 March 2016
Interpolation of rasters and spatial analysis [Practical, 2 hours]
Interpolation and data analysis practicals [Practical, 2 hours]
Data workshops [Practical, 2 hours].
Terrain analysis and cartographic modelling with rasters [Practical,
2 hours]
Solving spatial problems and GIS to case studies. [Seminar, 2 hours]
Final class, consult with convenor for details [2 hours]
Breslin, P. (199) Getting to Know ArcView GIS. 3rd Ed. ESRI Press.
1
Heywood, I., Cornelius, S., Carver, S. (2011) An introduction to
Geographical Information Systems. Prentice Hall
Olaya,V. (2004) A gentle introduction to SAGA GIS.
http://switch.dl.sourceforge.net/project/saga-gis/SAGA%20%20Documentation/SAGA%20Documents/SagaManual.pdf
Ormsby, T. et al (2010) Getting to Know ArcGIS Desktop. 2nd ed. ESRI
Press.
Price, M. (2003) Mastering ArcGIS. McGraw Hill
QGIS Development Team (2012) Quantum GIS User Guide. Version
1.7.0
’Wroclaw’http://download.osgeo.org/qgis/doc/manual/qgis1.7.0_user_guide_en.pdf
This is a Masters module that students can audit. Students should
have completed GIS 1.
This course is suitable for students in the early stages of their
doctoral research who are planning to collect georeferenced GIS
data. This data could be social or environmental. The course deals
with generic techniques that could apply to any georeferenced data
though many of the datasets we use are environmental.
Completion of GIS 1
10
2