SylbV01-00-00. pmd

VI. Suggested Reading
Clarke K 
et al
. 2001. Geographic Information Systems and Environmental Modeling. Prentice
Hall.
DeMers M. 2002. 
GIS Modeling in Raster
. Wiley.
Goodchild 
et al.
1996. 
GIS and Environmental Modeling: Progress and Research Issues
. GIS
world, Inc.
Hooman R and Lukas KB. 2005. 
Bioinformatics Basics: Applications in Biological Science And
Medicine.
John Wiley.
Hooman Rashidi, Lukas K and Buehler. 2005. 
Bioinformatics Basics: Applications in Biological
Science and Medicine.
Taylor & Francis.
Maguire Batty and Goodchild. 2005. 
GIS, Spatial Analysis, and Modeling
. ESRI Press.
Nirmal Khandan N. 2001. 
Modelling Tools for Environmental Engineers and Scientists
, CRC
Press, Boca Raton, Florida.
Rosner B. 2006. 
Fundamentals of Biostatistics,
ed. 6,. Duxbury Press. USA.
Smith J and Smith P. 2007. 
Introduction to Environmental Modelling
. Oxford: Oxford University
Press. 
Whitlock MC and Schluter D. 2009. 
The Analysis of Biological Data.
Roberts and Company
Publishers.
Zar JH. 2010. 
Biostatistical Analysis. 
5th Edition. Pearson Education International.

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Restructured and Revised Syllabi of Post-graduate Programmes
Vol. 1
704
Lecture Schedule
Sr. No.
Topic
No. of Lecture(s)
Theory
1.
Modeling for environmental sciences and management.
Types of models. Causal diagrams, System Dynamics
3
2.
Introduction to modelling software package, Population modelling,
Modeling of material flows through the systems (pollutants
transfer, etc.). Modeling of cycles in nature (carbon cycle, etc.)
3
3.
Environmental modelling: scope and problem definition, goals and
objectives, definition; modelling approaches– deterministic,
stochastic and the physical approach
4
4.
Applications of environmental models; the model building
process. Types of Model – Physical models, Conceptual models,
Mathematical Models
3
5.
Sensitivity analysis. Extinction risk. Multi-species population
dynamics- Decision trees and Spatial models
2
6.
Population Dynamics Predator-Prey (Lotka-Volterra methods)
Model Builder in Arc GIS
2
7.
GIS Data for environmental models. GIS functions in
environmental models
2
8.
Model validation. Physical environmental models. Human (cultural,
social, economic, etc.) environmental models
2
9.
Statistical Techniques: MANOVA, Cluster analysis, Discriminant
analysis, Principal component analysis, Principal coordinate analysis,
Multidimensional scaling; Multiple regression analysis;
Likelihood approach in estimation and testing
4
10.
Re-sampling techniques – Boot strapping and Jack Knifing;
Markov Models. Hidden Markov Models, Bayesian estimation
and Gibbs sampling. Statistical fundamentals are reviewed
and expanded upon with multi variable regression analysis
of Variance (ANOVA)
4
Total
29