GeoInformatics.cc

CST-317: Introduction to Earth System Modelling (INPE Course 2016)

Professors: Pedro R. Andrade,Gilberto Câmara
Lectures: Wednesdays and Fridays, 10h00, Room 12, 1st floor, CCST building

References

Modeling the Environment (2nd edition), Andrew Ford. Island Press, 2010.
Thinking in Systems, Donella Meadows, Chelsea Green Publishing, 2008.
Complex Adaptive Systems: An Introduction to Computational Models of Social Life, John H. Miller & Scott Page, Princeton University Press, 2007.
Agent-based models of geographical systems, editors: Heppenstall, A.J., Crooks, A.T., See, L.M., Batty, M., Springer-Verlag, 2012.

Classes

	Title	Models	Scenarios	Concepts	Exercises
1	Introduction
2	Lua for TerraME	Lua scripts		nil, number, boolean, string, table, function	Lua exercises
3	Systems Dynamics	Tub (sysdyn)	tub-scenarios (sysdyn)	Model, Event, Timer, Chart	Water in the Dam
4	Feedbacks	Coffee, PopulationGrowth (sysdyn)	coffee-scenarios, population-scenarios-1, population-scenarios-2 (sysdyn)	Environment, instance of Model
5	Epidemics	SIR (sysdyn)	infection-scenarios-1, infection-scenarios-2, infection-scenarios-3 (sysdyn)
6	Predator-Prey	PredatorPrey (sysdyn)
7	Daisyworld	Daisyworld (sysdyn)	daisy-calibration (calibration)	MultipleRuns (calibration)
8	Calibration	PredatorPrey (sysdyn)			Exploring SIR Model
9	Cellular Automata	Life (ca)		Cell, CellularSpace, Neighborhood, Map, Random
10	Fire in the Forest	Fire (ca)			Fire in the Forest
11	Runoff	Runoff (terralib)
12	Geospatial data			Project, Layer (terralib)
13	Deforestation	deforestation.zip		Trajectory	Deforestation, database
14	Agent-Based Modelling			Agent, Society, Group	Butterfly Model, Butterfly Paper
15	Sugarscape
16	Predator Prey	PredatorPrey

Additional Reading

Wood, A. J., G. J. Ackland, J. G. Dyke, H. T. P. Williams, and T. M. Lenton (2008), Daisyworld: A review, Rev. Geophys., 46, RG1001.
W. von Bloh. Daisyworld: a tutorial approach to geophysiological modelling http://www.pik-potsdam.de/~bloh/
Schelling, T. C. (1971). Dynamic models of segregation. Journal of mathematical sociology, 1(2), 143-186. (check also for its variations in the literature)
Timothy M. Lenton(1998). Gaia and Natural Selection. Nature 394, 439-447 (30 July 1998)
Nowak MA & Sigmund K (2000), Games on Grids. In: The Geometry of Ecological Interactions: Simplifying Spatial Complexity, eds. Dieckmann U, Law R & Metz JAJ, pp. 135–150. Cambridge UniversityPress.

Papers for Final Projects

The final project consists of an implementation and discussion of one of the models available here or the following papers.

	Pires, B. and Crooks, A.T. (2016), The Geography of Conflict Diamonds: The Case of Sierra Leone (see also the model in the OpenABM site)
Diogo, Rolf e João	J. Silvertown, S. Holtier, J. Johnson and P. Dale (1992) Cellular Automaton Models of Interspecific Competition for Space-The Effect of Pattern on Process. Journal of Ecology, 80(3):527-533
	S. G. Berjak, J. W. Hearne (2002) An improved cellular automaton model for simulating fire in a spatially heterogeneous Savanna system. Ecological Modelling 148(2):133–15
	G.Ch Sirakoulis, I. Karafyllidis, A. Thanailakis (2000) A cellular automaton model for the effects of population movement and vaccination on epidemic propagation. Ecological Modelling 133(3): 209–223
	C. Beauchemina, J. Samuelb, J. Tuszynskia (2005) A simple cellular automaton model for influenza A viral infections. Journal of Theoretical Biology 232(2) 223–234
Cassia e Kelly	Medeiros, L. C., Castilho, C. A. R., Braga, C., de Souza, W. V., Regis, L., Monteiro, A. M. V. (2011). Modeling the dynamic transmission of dengue fever: investigating disease persistence. PLOS neglected tropical diseases, 5(1), e942.
	H. Nakanishi (1990) Cellular-automaton model of earthquakes with deterministic dynamics. Phys. Rev. A 41:7086–7089
	R. Toivonen, J. Onnela, J. Saramaki, J. Hyvonen, K. Kaski (2006) A model for social networks. Physica A: Statistical Mechanics and its Applications 371(2):851–860
	Barros, J. Urban Growth in Latin American Cities. PhD thesis, CASA/UCL
Frederico e André	Sex, Culture and Conflict in SugarScape. From J Epstein, R. Axtell, Growing Artificial Societies: Social Science from the Bottom Up. MIT Press, 1996.
	Trade in SugarScape. From J Epstein, R. Axtell, Growing Artificial Societies: Social Science from the Bottom Up. MIT Press, 1996.
	S Heckbert (2013). MayaSim: An agent-based model of the ancient Maya social-ecological system. Available in CoMSES Computational Model Library.
	R Axelrod (1997). “The dissemination of culture - A model with local convergence and global polarization.” Journal of Conflict Resolution 41: 203-226.Replicated in CoMSES Computational Model Library.
	J Pepper and B Smuts (2000). The evolution of cooperation in an ecological context: an agent-based model. Replicated in CoMSES Computational Model Library.
	K Kahn (2013) A model of the Spanish Flu Pandemic. Available in CoMSES Computational Model Library.
	Schindler J (2012) A simple Multi-Agent System of the Tragedy Of the Commons. Available in CoMSES Computational Model Library.
	A K Knittel, R Riolo and R Snow (2011). Development and evaluation of an agent-based model of sexual partnership. Adaptive Behavior (available at CoMSES Computational Model Library.
	M Janssen and N.D. Rollins (2012). Evolution of cooperation in asymmetric commons dilemmas. Journal of Economic Behavior and Organization, 81: 220-229. Available in CoMSES Computational Model Library).
	Axtell, Epstein, et al. (2002) Population Growth and Collapse in a Multi-Agent Model of the Kayenta Anasazi in Long House Valley. PNAS 99(3): 7275-7279. Replicated in M Janssen and available in CoMSES Computational Model Library.
	G.Ch Sirakoulis, I. Karafyllidis, A. Thanailakis (2000) A cellular automaton model for the effects of population movement and vaccination on epidemic propagation. Ecological Modelling 133(3): 209–223
	S. Hoya White, A. Martín del Rey, G. Rodríguez Sánchez(2007), Modeling epidemics using cellular automata. Applied Mathematics and Computation, 186(1):193-202
	F. Feitosa, A.M. Monteiro, Urban Conventions and Residential Location Choice. CAMUSS Conference (Cellular Automata Modeling forUrban and Spatial Systems 2012)
	Almeida, Rodolfo Maduro, and Elbert EN Macau. “Stochastic cellular automata model for wildland fire spread dynamics.” Journal of Physics: Conference Series. Vol. 285. No. 1. IOP Publishing, 2011.
	de Bakker MP, de Jong K, Schmitz O, Karssenberg D. Design and demonstration of a data model to integrate agent-based and field-based modelling. Environmental Modelling & Software. 2017 Mar 31;89:172-89.
	Brian's Brain
	Fisch, Robert, Janko Gravner, and David Griffeath. “Threshold-range scaling of excitable cellular automata.” Statistics and Computing 1.1 (1991): 23-39.
	Fisch, Robert. “Clustering in the one-dimensional three-color cyclic cellular automaton.” The Annals of Probability (1992): 1528-1548.
	Li, Wentian. "Complex patterns generated by next nearest neighbors cellular automata." Computers & Graphics 13.4 (1989): 531-537.
	Chate, H. & Manneville, P. (1990). Criticality in cellular automata. Physica D (45), 122-135.
	Li, W., Packard, N., & Langton, C. (1990). Transition Phenomena in Cellular Automata Rule Space. Physica D (45), 77-94.
	Belousov–Zhabotinsky reaction
	Colasanti, R. L., R. Hunt, and L. Watrud. “A simple cellular automaton model for high-level vegetation dynamics.” Ecological Modelling 203.3 (2007): 363-374.
	Scherer A. & McLean A., (2002) Mathematical models of vaccination, British Medical Bulletin 2002;62 187-199.

Papers for Final Projects: Secondary Choices

You can also choose from the following papers if you did not find a suitable paper in the above list.

	H. Balzter, P. W. Braun, W. Köhler (1998) Cellular automata models for vegetation dynamics. Ecological Modelling 107(2-3):113-125
	S Bandini, F Celada, S Manzoni, G Vizzari (2007). Modelling the immune system: the case of situated cellular agents, Natural Computing, 6(1):19-32.
	S. Yassemi, S. Dragićevića, M. Schmidt(2008), Design and implementation of an integrated GIS-based cellular automata model to characterize forest fire behaviour , Ecological Modelling, 210(1–2), 71–84
	S Bergin (2012). Torsten Hägerstrand’s Spatial Innovation Diffusion Model. Available in CoMSES Computational Model Library.
Ricardo, Ana e Karina	D. L. Dunkerley (1997) Banded vegetation: development under uniform rainfall from a simple cellular automaton model. Plant Ecology 129(2):103-111
	D.L Dunkerley (1997) Banded vegetation: survival under drought and grazing pressure based on a simple cellular automaton model. Journal of Arid Environments 35(3):419–428
	Jager, Wander, and Frédéric Amblard. "Uniformity, bipolarization and pluriformity captured as generic stylized behavior with an agent-based simulation model of attitude change." Computational & Mathematical Organization Theory 10.4 (2005): 295-303.

GeoInformatics.cc

User Tools

Site Tools

Table of Contents