Reference Material 1. W. G. Rees (2001) Physical Principles of Remote Sensing Cambridge
University Press, United Kingdom. ISBN: 0521669480
2. Robert A. Schowengerdt (January 15, 1997) Remote Sensing 2
nd
edition, Academic Press ISBN: 0126289816
3. Thomas M. Lillesand & Ralph W. Kiefer (Year 2000) Remote Sensing
and Image Interpretation John Wiley & Sons, Inc.
4. James B. Campbell (1996) Introduction to Remote Sensing, The
Guilford Press, New York, USA.
Deficiency course 03: Introduction to Spatial Analysis
Course Structure: Lectures: 2 / Labs : 1
Credit Hours: 3 (2+1)
Prerequisite: None
Objective: This course provides a detailed examination of the
common spatial analytical tools used in a Geographical Information
Systems environment. Students are given ‘hands-on’ experience with
data extraction techniques, data reduction techniques, data modeling
(statistical and inferential) and data evaluation methodologies. The
students are also introduced to image processing in a spatial context.
Real world applications provide the mechanism for gaining experience
with the analytical techniques detailed above. Spatial analyses are
undertaken using mainly ESRI’s ArcGIS
