Advances in geomatic simulations for environmental dynamics

Environmental Science and Engineering (Subseries: Environmental Science)

Volumn , Issue 9783540684893, 2008, Pages 3-54

  Paegelow, M ^a   Camacho, Mt Olmedo ^a  

^a NONE

Author keywords

Environment; Geomatics; Modelling; Spatio temporal dynamics; Validation

Indexed keywords

BIODIVERSITY; DEFORESTATION; DYNAMICS; ENVIRONMENTAL MANAGEMENT; MODELS; REFORESTATION; REGIONAL PLANNING;

CALIBRATION AND VALIDATIONS; ENVIRONMENT; ENVIRONMENTAL DYNAMICS; ENVIRONMENTAL MODELLING; GEOMATICS; METHODOLOGICAL APPROACH; SPATIO-TEMPORAL DYNAMICS; VALIDATION;

DECISION MAKING;

EID: 84940941127     PISSN: 18635520     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-68498-5_1     Document Type: Article

References (182)

1. Aspinall RJ, Pearson DM (1996) Data quality and spatial analysis: analytical use of GIS for ecological modeling. In: Goodchild MF, Steyaert LT, Parks BO (eds) GIS and Environmental modeling: progress and research issues. Fort Collins, CO, GIS World Books
2. Atkinson PM, Martin D (eds) (2000) Innovations in GIS VII. Gis and geocomputation. London, Taylor & Francis
3. Balzter H (2000) Markov chain modelling for vegetation dynamics. Ecological Modelling, 126 (2-3), pp 139-154
4. Barredo JI, Kasanko M, McCormick N, Lavalle C (2003) Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landscape and Urban Planning 64, pp 145-160
5. Barredo JI, Demicheli L, Lavalle C, Kasanko M, McCormick N (2004) Modelling future urban scenarios in developing countries: an application case study in Lagos, Nigeria. Environment and Planning B: Planning and Design 32, pp 65-84
6. Bascompte J, Sole RV (eds) (1998) Modeling Spatiotemporal Dynamics in Ecology. Springer, Berlin Heidelberg New York
7. Batty M (1976) Urban Modeling: Algorithms, Calibrations, Predictions. Cambridge, Cambridge University Press
8. Batty M (2003) New Developments in Urban Modeling: Simulation, Representation, and Visualization. In: Guhathakurta S (ed) Integrated Land Use and Environmental Models: A Survey of Current Applications and Research. Springer, Berlin Heidelberg New York
9. Batty M, Xie Y (1999) Modelling Urban Dynamics through GIS-based Cellular Automata. Computers, Environment and Urban Systems 23 (3), pp 205-233
10. Benenson I, Torrens PM (2004) Geosimulation: automatabased modelling of urban phenomena. Hoboken, NJ, John Wiley & Sons
11. Bishop CM (1995) Neural Networks for pattern recognition. New York, Oxford University Press, 482 pp
12. Bonham-Carter GF (2002) Geographic information systems for geoscientists: modelling with GIS. Ottawa, Pergamon
13. Botequilha A, Miller J, Ahern J, McGarigal K (2006) Measuring Landscapes. A planner´s handbook. Washington, Island Press
14. Bouchon-Meunier B (1995) La logique floue et ses applications. Paris, Addison-Wesley, 257 pp
15. Bousquet F, Gautier D (1999) Comparaison de deux approches de modélisation des dynamiques spatiales par simulation multi-agents: Les approches «Spatiale» et «Acteurs». Cybergeo 89, 13 avril, 12 pp http://www.cybergeo.presse.fr/
16. Bouzeghoub M, Gardain G, Valduriez P (2000) Les objets. Paris, Eyrolles, 450 pp
17. Bregt AK, Skidmore AK, Nieuwenhuis G (2002) Environmental modeling: issues and discussion. In: Skidmore A (ed) Environmental modelling with GIS and remote sensing. London, Taylor and Francis
18. Briassoulis H (2000) Analysis of land Use Change: Theoretical and Modelling Approaches. Regional Research Institute, West Virginia University, Web Book: http://www.rri.wvu.edu/WebBook/Briassoulis/contents.htm
19. Brimicombe A (2003) GIS, Environmental Modelling and Engineering. Taylor and Francis
20. Briot JP, Demazeau Y (2001) Principes et architecture des sytèmes multi-agents (Traité IC2, Informatique et systèmes d’information). Hermès Lavoisier, 268 pp
21. Burks AW (1970) Essays on Cellular Automata. University of Illinois Press, 375 pp
22. Burrough P (1986) Principles of Geographical Information Systems for Land Resources Assessment. Oxford, Oxford Science
23. Burrough PA, McDonnell R (1998) Principles of Geographical Information Systems Spatial Information Systems and Geostatistics. Oxford, Oxford University Press
24. Buzai GD (2006) Geografía y Sistemas de Información Geográfica. In: Hiernaux D, Lindón A (eds) Tratado de Geografía Humana. Editorial Anthropos, Universidad Autónoma Metropolitana
25. Campagna M (ed) (2005) GIS for Sustainable Development. Taylor & Francis CRC Press
26. Castella JC, Ngoc Trung T, Boissau S (2005) Participatory simulation of landuse changes in the northern mountains of Vietnam: the combined use of an agentbased model, a role-playing game, and a geographic information system. Ecology and Society, 101, pp 1-27
27. Centeno TM, Góis JA (2005) Integrating fuzzy images and heterogeneous data to support the ambiental impact forecast. Proceedings of XII Simpósio Brasileiro de Sensoriamento Remoto, pp 3037-3044
28. Centeno TM, Saint-Joan D, Desachy J (2006) Approach of the spatio temporal prediction using vectorial geographic data. Proceedings of SPIE, Remote Sensing for Geography, Geology, Land Planning and Cultural Heritage, 2960, pp 96-103, Italy
29. Cheylan JP, Lardon S, Mathian H, Sanders L (1994) Les problématiques de l’espace et le temps dans les sig. Revue de Géomatique 4 (3-4), pp 287-305
30. Christakos G, Bogaert P, Serre ML (2001) Temporal GIS: Advanced Functions for Field Based Applications. Springer, Berlin Heidelberg New York
31. Chuvieco Salinero E (1993) Integration of Linear Programming and GIS for Landuse Modeling. International Journal of Geographical Information Systems 7, no 1 (1993), pp 71-83
32. Chuvieco Salinero E (2006) Teledetección Ambiental. La observación de la tierra desde el espacio. Ariel Ciencia, 2ª ed, Barcelona
33. Chuvieco Salinero E (ed) (2008) Earth Observation of Global Change. The Role of Satellite Remote Sensing in Monitoring the Global Environment. Springer, Berlin Heidelberg New York
34. Claramunt C (1994) Sémantique et logique spatio temporelles. Revue Internationale de Géomatique 4, pp 165-180
35. ComMod C (2005) La modélisation comme outil d’accompagnement. Nature Sciences Sociétés 13, pp 165-168
36. Costanza R, Voinov A (eds) (2004) Landscape Simulation Modeling. A Spatially Explicit, Dynamic Approach. Springer, Berlin Heidelberg New York
37. Coquillard P, Hill DRC (1997) Modélisation et simulation d’écosystèmes. Des modèles déterministes aux simulations à événements discrets. Paris, Masson
38. Crane MP, Goodchild MF (1993) Epilog. In: Goodchild MF, Parks BO and Steyart LT (eds) Environmental modeling with GIS. New York, Oxford University Press
39. Crosetto M, Tarantola S (2001) Uncernainty and sensitivity analysis tools for GISbased model implementation. International Journal of Geographical Information Science 15 (5), pp 415-437
40. Crosetto M, Tarantola S, Saltelli A (2000) Sensitivity and uncernainty analysis in spatial modeling based on GIS. Agriculture, Ecosystems and Environment 81 (1), pp 71-79
41. Croswell PL, Clark SR (1988) Trends in automated mapping and geographic system hardware. Photogrammetric Engineering and Remote Sensing 54, pp 1571-1576
42. Davalo E, Naim P (1969) Des réseaux de neurones. Paris, Eyrolles, 232 pp
43. DeMers MN (2002) GIS modeling in raster. New York, Wiley
44. Dietzel C, Oguz H, Hemphill JJ, Clarke KC, Gazulis N (2005) Diffusion and coalescence of the Houston Metropolitan Area: evidence supporting a new urban theory. Environment and Planning-B, Planning and Design 32, no 2, pp 231-236
45. Dragicevic S, Marceau DJ (2000) A fuzzy logic approach for modeling time in GIS. International Journal of Geographic Information Science 14 (3), pp 225-245
46. Dubé P, Fortin MJ, Canham C, Marceau DJ (2001) Quantifying global gap dynamics and spatio temporal structures in spatially explicit models of temperate forest ecosystems. Ecological Modelling 142 (1-2), pp 39-60
47. Eastman JR (1993) IDRISI, A grid based geographic analysis system, Version 41. Massachusetts, Clark University
48. Eastman JR (2001) The evolution of Modeling Tools in GIS. Directions Magazine. http//wwwdirectionsmagcom
49. Eastman JR (2006) Idrisi Andes Tutorial. Clark Labs, Worcester, MA
50. Eastman JR, McKendry J (1991) Change and Time Series Analysis in GIS. UNITAR
51. Eastman JR, Kyrem PAK, Toledano J, Jin W (1993) A procedure for Multi-Objective Decision Marking in GIS under conditions of Competing Objectives. Proceedings of EGIS’93, pp 438-447
52. EEA (1993) CORINE Land Cover -Technical Guide. Luxembourg: Office for Official Publications of European Communities
53. Egenhofer MJ, Golledge RG (1994) Time in geographic space: Report of the specialist meeting of research initiative 10. Technical report 94-9, NCGIA
54. Elmozino H, Lobry C (1997) Automates cellulaires et modélisation de la dynamique forestière. Ecologie 28 (4), pp 307-324
55. Emshoff JR, Sisson RL (1970) Design and use of computer simulation models. Mac Millan, Londres
56. Engelen G (2003) References Cellular Automata – LUCMOD (land use change modelling). LUCC website, International Project Office, Louvain-La-Neuve, Belgium http//www.geo.ucl.ac.be/LUCC/MODLUC_Course/Presentations/Guy_engelen/C A-References.doc
57. EUR-JRC (2004) The MOLAND model for urban and regional growth forecast. A tool for the definition of sustainable development paths. Technical Report EUR21480 http//moland.jrc.it/documents/EUR_21480_2004_Moland_model.pdf
58. Ferrand N (1997) Modèles multi-agents pour l’aide à la décision et la négociation en aménagement du territoire. Thesis, University Joseph Fourier, Grenoble, 305 pp
59. Fischer M, Nijkamp P (eds) (1993) Geographic information systems, spatial modelling and policy evaluation. Berlin, Springer-Verlag
60. Flamm RO, Turner MG (1994) Alternative model formulations for stochastic simulation of landscape change. Landscape Ecology 9(1), pp 37-44
61. Forman RTT (1995) Land Mosaics: The Ecology of Landscapes and Regions. Cambridge EEUU
62. Forrester JW (1969) Urban dynamics. Cambridge, Massachusetts, MIT Press, 285 pp
63. Fotheringham AS, Wegener M (2000) Spatial models and GIS. New potencial and new models. London, Taylor and Francis
64. Franc A, Sanders L (1998) Modèles et systèmes multi-agents en écologie et en géographie: état de l’art et comparaison avec les approches classiques. In: Ferrand N (ed) Modèles et systèmes multi-agents pour la gestion de l’environnement et des territoires. Clermont-Ferrand, SMAGET
65. Frihida A, Marceau DJ, Thériault M (2002) Spatio-temporal object-oriented data model for disaggregate travel behaviour. Transactions in GIS 6 (3), pp 277-294
66. Gardner M (1970) The Fantastic Combinations of John Conway’s New Solitaire Game ‘Life’. Scientific American 23, 4, pp 120-123
67. Gardner M (1971) On cellular automata, self-reproduction, the Garden of Eden and the game of the life. Scientific American 224, pp 112-117
68. Giacomeli A (2005) Integration of GIS and Simulation Models. In: Campagna M (ed) GIS for Sustainable Development. Taylor & Francis CRC Press
69. Giarratano JC, Rilay GD (2005) Expert systems. Principles and programming. PWS Publishing Company, Boston, 585 pp
70. Gómez Delgado M, Barredo JI (2005) Sistemas de Información Geográfica y evaluación multicriterio en la ordenación del territorio (GIS and multicriteria evaluation for urban and regional planning). Ra-Ma, Madrid
71. Gómez Delgado M, Tarantola S (2006) Global sensitivity analysis, GIS and multicriteria evaluation for a sustainable planning of hazardous waste disposal site in Spain. International Journal of Geographical Information Science 20, pp 449-466
72. Goodchild MF, Parks BO, Steyaert LT (1993) Environmental modeling with GIS. New York, Oxford University Press
73. Goodchild MF, Steyaert LT, Parks BO (1996) GIS and Environmental modeling progress and research issues. Fort Collins, CO GIS World Books
74. Greeuw SCH, Van Asselt MBA, Grosskurth MBA, Storms CAMH, Rijkens-Klomp N, Rothman DS, Rotsmans J (2000) Cloudy crystal balls. An assessment of recent European and global scenarios studies and model. International Centre for Integrative Studies (ICIS) for EEA, Copenhagen, Denmark, n°17, 112 pp
75. Guhathakurta S (ed) (2003) Integrated Land Use and Environmental Models: A Survey of Current Applications and Research. Springer, Berlin
76. Hagen A (2003) Fuzzy set approach to assessing similarity of categorical maps. International Journal of Geographical Information Science 17(3), pp 235–249
77. Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143, pp 29-36
78. Hathout S (2002) The use of GIS for monitoring and predicting urban growth in East and West St Paul. Winnipeg, Manitoba, Canada Journal of Environmental Management 66, pp 229-238
79. Hebb D (1949) The Organization of Behavior. New York, Wiley, 335 pp
80. Heuvelink GBM (1998) Error propagation in environmental modeling with GIS. London, Taylor and Francis
81. Hill DRC (1993) Analyse orientée objet et modélisation par simulation. Addison-Wesley
82. Huston MA, Angelis De DL (1994) Competition and coexistence the effects of ressources transport and supply rates. The American Naturalist 144 (6), pp 954-977
83. Isachenko GrA, Reznikov AI (1995) Landscape-dynamical scenarios simulation and mapping in geographic information systems. 17th Inter Cartographic Conference, Sept 3-9, 1995 Proceedings 1 Barcelona, pp 800-804
84. Issaev B, Nijkamp P, Rietveld P, Snickars F (eds) (1982) Multiregional Economic Modeling. Amsterdam North-Holland
85. Jacewicz P (2002) Modélisation et simulation distribuées par automates cellulaires. Application en écologie. Thesis, University of Perpignan, 147 pp
86. James W (1890) Association. In: Psychology (Briefer Course). New York, Holt, pp 253-279
87. Jen E (1990) A periodicity in One-dimensional Cellular Automata. Physica D 45, pp 3-18
88. Kanevski M, Maignan M (2004) Analysis and modelling of spatial environmental data. EPEL Press, 288 pp
89. Kuhlman T, Tabeau A, Gaaff A, Tongeren F, van Dekkers JEC (2005) Linking models in land use simulation. Application of the Land Use Scanner to changes in agricultural area. Proceedings of the 45th congress of the European Regional Science Association, Amsterdam, the Netherlands, August 23-27, 2005, URL http//wwwlumosinfo/resources/File/1_kuhlman2005pdf
90. Lai TL, Wong S (2001) Stochastic Neural Networks with Applications to Nonlinear Time Series. Journal of the American Statistical Association 96 (455), pp 968-981
91. Lambin EF, Geist HJ (eds) (2006) Land-Use and Land-Cover Change Local processes and global impacts. Springer-Verlag, Berlin Heidelberg
92. Langlois A, Philipps M (1997) Automates cellulaires. Paris, Hermès, 197 pp
93. Langran G (1992) Time in Geographic Information Systems. Taylor and Francis, Londres
94. Langran G (1993) Issues of implementing a spatiotemporal system. International Journal of Geographical Information Systems 7, pp 25-43
95. Lardon S, Cheylan JP, Libourel T (1997) Le temps dans les sig: dynamique des entités spatio-temporelles. In: Les temps de l’environnement. Les Journées du PIREVS, Toulouse 5-7 novembre, pp 147-152
96. Laurini R, Thompson D (1992) Fundamentals of spatial information systems. San Diego, Academic Press, 640 pp
97. Le Berre M, Brocard M (1997) Modélisation et espace. In: Espaces, territoires et sociétés. Les recherches françaises en perspective. Colloque de la section 39 du Comité National de la Recherche Scientifique, Paris, CNRS, pp 23-30
98. Lee R ST (2004) Fuzzy-Neuro Approach to Agent Applications. From the AI Perspective to Modern Ontology. Heidelberg, Springer-Verlag, 350 pp
99. Lippe E, Smidt De JT, Glenn-Lewin DC (1985) Markov models and succession a test from a heathland in the Netherlands. Journal of Ecology 73, pp 775-791
100. Logofet D, Lesnaya E (2000) The mathematics of Markov models: what Markov chains can really predict in forest succession. Ecological Modelling 125 (2-3), pp 258-298
101. Longley PA, Batty M (1996) Spatial Analysis: Modelling in a GIS Environment. Wiley, New York
102. Longley PA, Batty, M (eds) (2003) Advanced spatial analysis: the CASA book of GIS. Redlands, ESRI Press
103. Longley PA, Goodchild MF, Maguire DJ, Rhind DW (1999) Geographical Information Systems. Wiley, New York
104. Longley PA, Goodchild MF, Maguire DJ, Rhind DW (2001) Geographic Information Systems and Science. Wiley, Chichester
105. Longley PA, de Smith M, Goodchild M (2007) Geospatial Analysis – A comprehensive Guide to Principles, Techniques and Software Tools. Matador, Leicester
106. López E, Bocco G, Mendoza M, Duhau E (2001) Predicting land-cover and landuse change in the urban fringe – A case of Morelia city, Mexico. Landscape and Urban Planning 55, pp 271-285
107. Maguire DJ (1989) Computers in Geography. Longman Group, New York
108. McGarigal K, Marks BJ (1995) FRAGSTATS: Spatial pattern analysis program for Quantifying Landscape Structure. USDA For. Serv. Gen. Tech. Rep. PNW-351
109. Malczewski J (1999) GIS and multicriteria decisión analysis. New York, John Wiley & Sons
110. Martín B, Sanz A (2006) Redes neuronales y sistemas borrosos. Edit Ra-Ma, 442 pp
111. Metropolis N, Ulam S (1949) The Monte Carlo method. Journal of the American Statistical Association 44, pp 335-341
112. Mezzadri-Centeno T (1998) La modélisation et la projection spatio-temporelle dans les SIG. Thesis, University Paul Sabatier, Toulouse, 140 pp
113. Minsky ML (1965) Matter, minds and models. International Federation of Information Processing Congress 1, pp 45-49
114. Minsky ML (1987) Society and mind. New York, Simon and Schuster, 339 pp
115. Mladenoff DJ, Baker WL (eds) (1999) Spatial modeling of forest landscape change: approaches and applications. Cambridge, Cambridge University Press
116. Molenaar M (1998) An Introduction to the theory of spatial object modelling for GIS. London, Taylor & Francis
117. Neumann Von J (1966) Theory of Self-Reproducing Automata. University of Illinois Press
118. Nunes C, Augé JI (eds) (1999) IGBP Report n° 48 and IHDP Report n° 10. Land-Use and Land-Cover Change (LUCC). Implementation Strategy. http//www.geo.ucl.ac.be/LUCC/lucc.html
119. Odum HT (1957) Trophic structure and productivity of Silver Springs, Florida. Ecological Monographs 22, pp 55-212
120. Openshaw S, Abrahart RJ (eds) (2000) Geocomputation. London, Taylor and Francis
121. Ott T, Swiaczny F (2001) Time-integrative geographic information systems management and analysis of spatio-temporal data. Berlin [etc] Springer
122. Paque D (2004) Gestion de l’historicité et méthodes de mise à jour dans les SIG. Cybergéo 278, 6 pp
123. Parker DC, Berger T, Manson SM (eds) (2001) LUCC Report Series N° 6: Agent-Based Models of Land-Use and Land Cover Change (ABM/LUCC). Report and Review of an International Workshop. Irvine, Califonia, USA, 4-7 octobre, 140 pp http//www.indiana.edu/~act/focus1/ABM_Report6.pdf
124. Parker DC, Manson SM, Janssen MA, Hoffman MJ, Deadman P (2003) Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review. Annals of the Association of American Geographers 93:2, pp 314-337
125. Parlitz U, Merkwirth C (2000) Nonlinear prediction of spatio-temporal time series. ESANN’2000 Proceedings, Bruges, pp 317-322
126. Petry FE, Robinson VB, Cobb MA (eds) (2005) Fuzzy modeling with spatial information for geographic problems. New York, NY Springer
127. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, pp 231-259
128. Poix C, Michelin Y (2000) Simulation paysagère: un modèle multi-agents pour prendre en compte les relations sociales. Cybergeo 116, 11 pp http//www.cybergeo.presse.fr/
129. Pontius RG Jr (2002) Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering & Remote Sensing 68(10), pp 1041-1049
130. Pontius RG Jr, Batchu, K (2003) Using the Relative Operating Characteristic to Quantify Certainty in Prediction of Location of Land Cover Change in India. Transactions in GIS 7(4), pp 467–484
131. Pontius RG Jr, Chen H (2006) Land Use and Cover Change Modelling. Land Change Modeling with GEOMOD, Idrisi Andes Tutorial, Clark University
132. Pontius RG Jr, Schneider LC (2001) Land-cover change model validation by an ROC method for the Ipswich watershed. Massachusetts, USA, Agriculture, Ecosystems & Environment 85, pp 239–248
133. Pontius RG Jr, Cornell JD, Hall CAS (2001) Modeling the spatial pattern of landuse change with GEOMOD2: application and validation for Costa Rica. Agriculture Ecosystems & Environment 85, pp 191-203
134. Pontius RG Jr, Shusas E, McEachern M (2004) Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems & Environment 101, pp 251–268
135. Quattrochi DA, Goodchild MF (1997) Scale in Remote Sensing and GIS. Boca Raton, Florida, CRC press, 406 pp
136. Reginster I, Rounsevell M (2006) Scenarios of future urban land use in Europe. Environment and Planning B: Planning and Design 33, pp 619-636
137. Rodrigues HO, Soares Filho BS, de Souza Costa WL (2007) Dinamica EGO, uma plataforma para modelagem de sistemas ambientais. Anais XIII Simposio Brasileiro de Sensoriamento Remoto, INPE, pp 3089-3096
138. Rodríguez-Bachiller A, Glasson J (2004) Expert systems and geographical information systems for impact assessment. London, Taylor & Francis
139. Roman J (2004) Algorithmique parallèle et simulation haute performance appliquées à la dynamique de populations de parasites. Scientific report 2000-2003 from M3PEC, DRIMM, University Bordeaux 1, http://www.m3pec.ubordeaux1. fr/roman2.pdf
140. Rosenblatt F (1958) The Perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review 65, pp 386-408
141. Ruas A (1999) Modèle de généralisation de données urbaines à base de contraintes et d’autonomie. Cybergéo 107, 14 pp, http//www.cybergeo.presse.fr/
142. Ruas A (ed) (2002) Généralisation et représentation multiple. Hermès science, 390 pp
143. Rykiel EJJ (1996) Testing ecological models: the meaning of validation. Ecological Modelling 90, pp 229-244
144. Saint-Joan D, Desachy J (1995) A Fuzzy Expert System for Geographical problems: an agricultural application. Proceedings of the IEEE International Conference on Fuzzy Systems-FUZZ-IEEE’1995, 2, pp 469-476
145. Savall M, Pécuchet JP, Chaignaud N, Itmi M (2001) YAMAM– un modèle ‘organisation pour les systèmes multi-agents. Implémentation dans la plateforme Phoenix. Proceedings of 3ème Conférence Francophone MOSIM (Modélisation et simulation), 25-27 août, Troyes, France
146. Schultz REO, Centeno TM, Delgado MRBS (2006) Spatio-temporal prediction by means of a fuzzy rule-based approach. Proceedings of the IEEE International Conference on Fuzzy Systems -FUZZ-IEEE’2006, pp 6621-6628
147. SCS (Society for Computer Simulation) (1979) Technical Comitee on Model Credibility, Terminology for Model Credibility. Simulation 32 (3), pp 103-107
148. Singh RB, Fox J, Himiyama Y (2001) Land use and cover change. Enfield, NH, Science Publishers
149. Skidmore A (ed) (2002) Environmental modelling with GIS and remote sensing. London, Taylor and Francis
150. Soares Filho BS, Pennachin CL, Cerqueira G (2002) DINAMICA – a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecological Modelling 154, pp 217-235
151. Soares Filho BS, Nepstad D, Curran L, Voll E, Cerqueira G, Garcia RA, Ramos CA, Mcdonald A, Lefebvre P, Schlesinger P (2006) Modeling conservation in the Amazon basin. Nature, London, 440, pp 520-523
152. Spearman C (1904) General intelligence objectively determinated and measured. American Journal of Psychology 15, pp 201-293
153. Stahl K (1986) Theories of Urban Business Location. In: Handbook of Regional and Urban Economics, vol 2, ES Mills, pp 759-820, Amsterdam, North-Holland
154. Stillwell J, Clarke G (eds) (2004) Applied GIS and spatial analysis. Chichester, John Wiley and Sons
155. Tate NJ, Atkinson PM (2001) Modelling scale in Geographical Information Science. John Wiley and Sons
156. Tilman D (1977) Resource competition between planktonic algae: an experimental and theoretical approach. Ecology 58, pp 338-348
157. Tong-Tong JR (1995) La logique floue. Hermès, 160 pp
158. Tosic P, Agha G (2003) Understanding and Modeling Agent Autonomy in Dynamic Multi-Agent, Multi-Task Environments. Proc First European Workshop on Multi-Agent Systems (EUMAS ‘03), Oxford, UK, 18-19 December
159. Tosic P, Agha G (2004a) Concurrency vs Sequential Interleavings in 1-D Threshold Cellular Automata. Proc IEEE -IPDPS ‘04 (APDCM Workshop), Santa Fe, New Mexico, USA, 26-30 April
160. Tosic P, Agha G (2004b) Towards a Hierarchical Taxonomy of Autonomous Agents. Proc IEEE Int’l Conference on Systems, Man and Cybernetics (IEEESMC’ 04), The Hague, Netherlands, 10-13 October
161. Tobler WR (1979) Cellular Geography. In: Gale S, Olsson G (eds) Philosophy in Geography Kluwer, pp 379-386
162. Tucker BC, Arnand M (2004) The Application of Markov Models in Recovery and restoration. International Journal of Ecological Environmental Sciences 30, pp 131-140
163. Turing A (1950) Computer machinery and intelligence. Mind 49, pp 433-460
164. Verburg PH, Soepboer W, Veldkamp A, Limpiada R, Espaldon V, Sharifah Mastura SA (2002) Modeling the Spatial Dynamics of Regional Land Use the CLUE-S Model. Environmental Management, vol 30(3), pp 391-405
165. Verburg PH, Kasper K, Pontius RG Jr and Veldkamp A (2006a) Modelling land use and land cover change. In: Lambin EF, Geist HJ (eds) Land-Use and Land-Cover Change: Local processes and global impacts, pp 117-135, Heidelberg Springer-Verlag Berlin
166. Verburg PH, Schulp CJE, Witte N, Veldkamp A (2006b) Downscaling of land use change scenarios to assess the dynamics of European landscapes. Agriculture, Ecosystems & Environment 114, pp 39-56
167. Villa N, Paegelow M, Camacho Olmedo MT, Cornez L, Ferraty F, Ferré L, Sarda P (2007) Various approaches for predicting land cover in Mediterranean mountains. Communication in Statistics, vol 36, Simulation and Computation, Issue 1, pp 73-86
168. Viet J (2006) Validation of land use change models; a case study on the Environment Explorer. WUR, Centre for Geo-information, thesis report GIRS-2006-03URL http//www.lumos.info/resources/File/validationLUchangeModels.pdf
169. Wainwright J, Mulligan M (2004) Environmental Modelling: Finding simplicity in complexity. Wiley
170. White R, Engelen G (1997) Cellular automata as the basis of integrated dynamic regional modeling. Environment and Planning B: Planning and Design 24, pp 235-246
171. White R, Engelen G, Uljee I (1997) The use of constrained cellular automata for high resolution modelling of urban land use dynamics. Environment and Planning B: Planning and Design 24, pp 323-343
172. White R, Engelen C, Uljee I, Lavalle C, Erlich D (1999) Developing an Urban Land Use Simulator for European Cities. 5th EC–GIS workshop, Italy European Communities
173. Widrow B, Hoff M (1960) Adaptive switching circuits. 1960 IRE WESCON Convention Record, New York, IRE, pp 96-104
174. Wilson AG (1974) Urban and Regional Models in Geography and Planning. New York, John Wiley
175. Wolfram S (1985) Some recent Results and Questions about Cellular Automata. In: Demongeot J, Solès E, Tchuente M (eds) Dynamic Systems and Cellular Automata. London, Academic Press, 399 pp
176. Worboys MF, Duckham M (2004) GIS: A Computing Perspective. Taylor & Francis CRC Press, 448 pp
177. Wu J, Marceau DJ (2002) Modelling complex ecological systems: An introduction. Ecological Modelling 153 (1-2), pp 1-6
178. Wu Q et al. (2006) Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landscape and Urban Planning 78, pp 322-333
179. Yeh AG, Li X (2001) A constrained CA model for the simulation and planning of sustainable urban forms by using GIS. Environment and Planning B 28, pp 733-753
180. Zadeh LA (1965) Fuzzy sets. Inf. Control 8, pp 338-353
181. Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1, pp 3-28
182. Zeigler BP (1976) Theory of Modeling and Simulation. New York, Wiley, 435 pp