Integrating Archaeological Theory and Predictive Modeling: A Live Report from the Scene

Journal of Archaeological Method and Theory

Volumn 19, Issue 1, 2012, Pages 49-100

  Verhagen, Philip ^a   Whitley, Thomas G ^b  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b Brockington and Associates Inc   (United States)

Author keywords

Cognitive archaeology; Middle range theory; Model testing; Predictive modeling

Indexed keywords

EID: 84857362261     PISSN: 10725369     EISSN: 15737764     Source Type: Journal    
DOI: 10.1007/s10816-011-9102-7     Document Type: Article

References (206)

1. Aldenderfer, M., & Maschner, H. D. G. (Eds.). (1996). Anthropology, space and geographic information systems. New York: Oxford University Press.
2. Allen, P. M. (1997). Towards a new science of history. In S. E. van der Leeuw & J. McGlade (Eds.), Time, process and structured transformation in archaeology (pp. 39-56). London: Routledge.
3. Allen, K. M., Green, S. W., & Zubrow, E. B. W. (Eds.). (1990). Interpreting space: GIS and archaeology. London: Taylor and Francis.
4. Altschul, J. H., Sebastian, L., & Heidelberg, K. (2004). Predictive modeling in the military. Similar goals, divergent paths. Rio Rancho: SRI Foundation.
5. Axtell, R. L., Epstein, J. M., Dean, J. S., Gumerman, G. J., Swedlund, A. C., Harbuger, J., et al. (2006). Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. In J. M. Epstein (Ed.), Generative social science (pp. 117-129). Princeton: Princeton University Press.
6. Barker, G. (1985). Prehistoric farming in Europe. Cambridge: Cambridge University Press.
7. Barrett, J. C. (2000). A thesis on agency. In M.-A. Dobres & J. E. Robb (Eds.), Agency in archaeology (pp. 61-68). London: Routledge.
8. Beekman, C. S., & Baden, W. W. (Eds.). (2005). Nonlinear models for archaeology and anthropology: Continuing the revolution. Aldershot: Ashgate.
9. Bell, J. A. (1994). Reconstructing prehistory: Scientific method in archaeology. Philadelphia: Temple University Press.
10. Bentley, R. A., & Maschner, H. D. G. (Eds.). (2003). Complex systems and archaeology. Empirical and theoretical applications. Salt Lake: University of Utah.
11. Besnard, P., & Hanks, S. (1995). Uncertainty in artificial intelligence (Vol. 11). San Mateo: Morgan Kaufmann.
12. Bettinger, R. L. (1980). Explanatory/predictive models of hunter-gatherer adaptation. In M. B. Schiffer (Ed.), Advances in archaeological method and theory (Vol. 3, pp. 155-189). New York: Academic.
13. Bettinger, R. L., Malhi, R., & McCarthy, H. (1997). Central place models of acorn and mussel processing. Journal of Archaeological Science, 24, 887-899.
14. Binford, L. R. (1972). An archaeological perspective. New York: Seminar Press.
15. Binford, L. R. (1977). General introduction. In L. R. Binford (Ed.), For theory building in archaeology, essays on faunal remains, aquatic resources, spatial analysis, and systemic modeling (pp. 1-10). New York: Academic.
16. Binford, L. R. (1981). Bones: Ancient men and modern myths. New York: Academic.
17. Binford, L. R. (1982). Objectivity-explanation-archaeology 1981. In C. Renfrew, M. J. Rowlands, & B. A. Segraves (Eds.), Theory and explanation in archaeology (pp. 125-138). New York: Academic.
18. Bintliff, J. (1999). Settlement and territory. In G. Barker (Ed.), The Routledge companion encyclopedia of archaeology (pp. 505-545). London: Routledge.
19. Bird, D. W. (1997). Behavioral ecology and the archaeological consequences of central place foraging among the Merriam. In C. M. Barton & G. A. Clark (Eds.), Rediscovering Darwin: Evolutionary theory and archaeological explanation (pp. 291-306). Arlington: American Anthropological Association.
20. Bogaard, A. (2004). Neolithic farming in Central Europe. An archaeobotanical study of crop husbandry practices. London: Routledge.
21. Bonham-Carter, G. F. (1994). Geographic information systems for geoscientists. Modelling with GIS. Oxford: Pergamon Press.
22. Boserup, E. (1965). The conditions of agricultural growth. London: Allen and Unwin.
23. Brandt, R. W., Groenewoudt, B. J., & Kvamme, K. L. (1992). An experiment in archaeological site location: Modelling in the Netherlands using GIS techniques. World Archaeology, 24, 268-282.
24. Burns, G., Fronabarger, A. K., & Whitley, T. G. (2008). Predictive modeling of cultural resources in the Theban Necropolis, Luxor, Egypt. In A. Posluschny, K. Lambers, & I. Herzog (Eds.), Layers of perception. Proceedings of the 35th International Conference on Computer Applications and Quantitative Methods in Archaeology (CAA), Berlin, Germany, April 2-6, 2007 (pp. 307 & CD-ROM). Bonn: Dr. Rudolf Habelt GmbH.
25. Carlstein, T. (1982). Time resources, society and ecology: On the capacity for human interaction in space and time. Vol. 1: Preindustrial societies. London: Allen & Unwin.
26. Cartwright, N. (1983). How the laws of physics lie. Oxford: Clarendon.
27. Christaller, W. (1935). Die Zentralen Orte in Süddeutschland. Jena: J. Fischer Verlag.
28. Cleuziou, S. (2007). Evolution toward complexity in a coastal desert environment: The early bronze age in the Ja'alan, Sultanate of Oman. In T. A. Kohler & S. E. van der Leeuw (Eds.), Model-based archaeology of socionatural systems (pp. 213-231). Santa Fe: School of Advanced Research.
29. Cohen, R. (Ed.). (1985). The development of spatial cognition. Hillsdale: Erlbaum Lawrence.
30. Coolbaugh, M. F., Raines, G. L., & Zehner, R. E. (2007). Assessment of exploration bias in data-driven predictive models and the estimation of undiscovered resources. Natural Resources Research, 16, 199-207.
31. Cowgill, G. L. (2000). "Rationality" and contexts in agency theory. In M.-A. Dobres & J. E. Robb (Eds.), Agency in archaeology (pp. 51-60). London: Routledge.
32. Cox, D. R. (1992). Causality: Some statistical aspects. Journal of the Royal Statistical Society, Series A, 155, 291-301.
33. Cutler, D. R., Edwards, T. C., Beard, K. H., Cutler, A., Hess, K. T., Gibson, J., et al. (2007). Random forests for classification in ecology. Ecology, 88, 2783-2792.
34. Dalla Bona, L. (1994). Ontario Ministry of Natural Resources Archaeological Predictive Modelling Project. Thunder Bay: Center for Archaeological Resource Prediction, Lakehead University.
35. de Hingh AE (2000) Food production and food procurement in the bronze age and early iron age (2000-500 BC). The organisation of a diversified and intensified agrarian system in the Meuse-Demer-Scheldt region (The Netherlands and Belgium) and the region of the river Moselle (Luxemburg and France). Leiden: Faculty of Archaeology, Leiden University.
36. Dean, J. S., Gumerman, G. J., Epstein, J. M., Axtell, R. L., Swedlund, A. C., Parker, M. T., et al. (2006). Understanding Anasazi culture change through agent-based modeling. In J. M. Epstein (Ed.), Generative social science (pp. 90-116). Princeton: Princeton University Press.
37. Deeben, J., Hallewas, D., Kolen, J., & Wiemer, R. (1997). Beyond the crystal ball: Predictive modelling as a tool in archaeological heritage management and occupation history. In W. Willems, H. Kars, & D. Hallewas (Eds.), Archaeological heritage management in the Netherlands. Fifty years state service for archaeological investigations (pp. 76-118). Amersfoort: Rijksdienst voor het Oudheidkundig Bodemonderzoek.
38. Deeben, J., Hallewas, D. P., & Maarleveld, T. J. (2002). Predictive modelling in archaeological heritage management of the Netherlands: The indicative map of archaeological values (2nd generation). Berichten van de Rijksdienst voor het Oudheidkundig Bodemonderzoek, 45, 9-56.
39. Dobres, M.-A., & Robb, J. E. (2000). Agency in archaeology: Paradigm or platitude? In M.-A. Dobres & J. E. Robb (Eds.), Agency in archaeology (pp. 3-17). London: Routledge.
40. Dobres, M.-A., & Robb, J. E. (2005). Doing "Agency": Introductory remarks on methodology. Journal of Archaeological Method and Theory, 12, 159-166.
41. Dornan, J. L. (2002). Agency and archaeology: Past, present and future directions. Journal of Archaeological Method and Theory, 9, 303-329.
42. Downs, R. M., & Stea, D. (Eds.). (1973). Image and environment. Chicago: Aldine.
43. Downs, R. M., & Stea, D. (1977). Maps in minds: Reflections on cognitive mapping. New York: Harper Row.
44. Ducke, B., & Münch, U. (2005). Predictive modelling and the archaeological heritage of Brandenburg (Germany). In M. van Leusen & H. Kamermans (Eds.), Predictive modelling for archaeological heritage management: A research agenda (pp. 93-108). Amersfoort: Rijksdienst voor het Oudheidkundig Bodemonderzoek.
45. Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. New York: Chapman & Hall.
46. Ejstrud, B. (2003). Indicative models in landscape management: Testing the methods. In J. Kunow & J. Müller (Eds.), Symposium on the archaeology of landscapes and geographic information systems. Predictive maps, settlement dynamics and space and territory in prehistory (pp. 119-134). Wünsdorf: Brandenburgisches Landesamt für Denkmalpflege und Archäologisches Landesmuseum.
47. Ejstrud, B. (2005). Taphomic models: Using Dempster-Shafer theory to assess the quality of archaeological data and indicative models. In M. van Leusen & H. Kamermans (Eds.), Predictive modelling for archaeological heritage management: A research agenda (pp. 183-194). Amersfoort: Rijksdienst voor het Oudheidkundig Bodemonderzoek.
48. Ellen, R. (1982). Environment, subsistence and system. The ecology of small-scale social systems. Cambridge: Cambridge University Press.
49. Emlen, J. M. (1966). The role of time and energy in food preference. The American Naturalist, 100, 611-617.
50. Epstein, J. (Ed.). (2006). Generative social science. Princeton: Princeton University Press.
51. Ericson, J. E., & Goldstein, R. (1980). Work space: A new approach to the analysis of energy expenditure within site catchments. In F. J. Findlow & J. E. Ericson (Eds.), Catchment analysis. Essays on prehistoric resource space (pp. 21-30). Los Angeles: Department of Anthropology, University of California.
52. Favory, F., & van der Leeuw, S. (1998). ARCHAEOMEDES, la dynamique spatio-temporelle de l'habitat antique dans la Vallée du Rhône: bilan et perspectives. Revue Archéologique de Narbonnaise, 31, 257-298.
53. Finke, P. A., Meylemans, E., & van De Wauw, J. (2008). Mapping the possible occurrence of archaeological sites by Bayesian inference. Journal of Archaeological Science, 35, 2786-2796.
54. Flannery, K. V. (1976). The early Meso-American village. New York: Academic.
55. Fleming, A. (2006). Post-processual landscape archaeology: A critique. Cambridge Archaeological Journal, 16, 267-280.
56. Fokkens, H. (1998). Drowned landscape. The occupation of the western part of the Frisian-Drentian plateau, 4400 BC-AD 500. Assen: van Gorcum.
57. Fokkens, H. (2002). Vee en voorouders: Centrale elementen uit het dagelijks leven in de bronstijd. In H. Fokkens & R. Jansen (Eds.), 2000 Jaar bewoningsdynamiek. Brons en ijzertijdbewoning in het Maas-Demer-Scheldegebied (pp. 126-148). Leiden: Faculteit der Archeologie, Universiteit Leiden.
58. Fontijn, D. (2003). Sacrificial landscapes cultural biographies of persons, objects and 'natural' places in the Bronze Age of the Southern Netherlands, c. 2300-600 BC. Leiden: Leiden University Press.
59. Gärling, T., & Evans, G. W. (Eds.). (1991). Environment, cognition, and action-an integrated approach. New York: Oxford University Press.
60. Georgia Department of Natural Resources (DNR) (2010). Wildlife Resources Division: Educator resources; species fact sheets. http://www. georgiawildlife. org/education/educator-resources. Accessed 2 November 2010.
61. Gerritsen, F. (2003). Local identities. Landscape and community in the late prehistoric Meuse-Demer-Scheldt region. Amsterdam: Amsterdam University Press.
62. Gimblett, H. R. (Ed.). (2002). Integrating geographic information systems and agent-based modeling techniques. Oxford: Oxford University Press.
63. Goodchild, H. (2006). Modelling agricultural production. A methodology for predicting land use and populations. In J. F. Haldon (Ed.), General issues in the study of Medieval logistics (pp. 199-228). Leiden: Brill.
64. Grayson, D. K., & Cannon, M. D. (1999). Human paleoecology and foraging theory in the great basin. In C. Beck (Ed.), Models for the millennium (pp. 141-151). Salt Lake: University of Utah Press.
65. Grayson, D. K., & Delpech, J. (1998). Changing diet breadth in the early upper paleolithic of Southwestern France. Journal of Archaeological Science, 25, 1119-1130.
66. Green, E. L. (1973). Location analysis of prehistoric Maya sites in Northern British Honduras. American Antiquity, 38(3), 279-293.
67. Gregg, S. A. (1988). Foragers and farmers. Population interaction and agricultural expansion in Prehistoric Europe. Chicago: The University of Chicago.
68. Gumerman, G. J., Swedlund, A. C., Dean, J. S., & Epstein, J. M. (2006). The evolution of social behavior in the prehistoric American Southwest. In J. M. Epstein (Ed.), Generative social science (pp. 130-143). Princeton: Princeton University Press.
69. Hames, R., & Vickers, W. (1982). Optimal diet breadth theory as a model to explain variability in Amazonian hunting. American Ethnologist, 9, 358-378.
70. Harris, T. M. (2006). Scale as artifact: GIS, ecological fallacy, and archaeological analysis. In G. Lock & B. L. Molyneaux (Eds.), Confronting scale in archaeology. Issues of theory and practice (pp. 39-53). New York: Springer.
71. Harris, T., & Lock, G. (1995). Toward an evaluation of GIS in European archaeology: The past, present and future of theory and applications. In G. Lock & Z. Stančič (Eds.), Archaeology and geographic information systems: A European perspective (pp. 349-366). London: Taylor and Francis.
72. Hegmon, M. (2003). Setting theoretical egos aside: Issues and theory in North American archaeology. American Antiquity, 68(2), 213-243.
73. Hempel, C. G. (1965). Aspects of scientific explanation. New York: Free Press.
74. Hengl, T., Sierdsema, H., Radović, A., & Dilod, A. (2009). Spatial prediction of species' distributions from occurrence-only records: Combining point pattern analysis, ENFA and regression-kriging. Ecological Modelling, 220(24), 3499-3511.
75. Hitchcock, C. R. (1996). Causal decision theory and decision theoretic causation. Nous, 30, 508-526.
76. Hodder, I. (1991). Reading the past: Current approaches to interpretation in archaeology (2nd ed.). Cambridge: Cambridge University Press.
77. Hoving, C. L., Harrison, D. J., Krohn, W. B., Jakubas, W. J., & McCullough, M. A. (2004). Canada lynx Lynx canadensis habitat and forest succession in northern Maine, USA. Wildlife Biology, 10(4), 285-294.
78. Hudak, G. J., E. Hobbs, A. Brooks, C. A. Sersland, C. Phillips (eds.). 2002. Mn/model final report 2002: A predictive model of precontact archaeological site location for the state of Minnesota. St. Paul: Minnesota Department of Transportation. http://www. mnmodel. dot. state. mn. us/pages/final_report. html. Accessed on 2 November 2010.
79. Hume, D. (1739). A treatise of human nature. London: John Noon.
80. Huston, M. A. (2002). Introductory essay: Critical issues for improving predictions. In J. M. Scott, P. J. Heglund, M. L. Morrison, J. B. Haufler, M. G. Raphael, W. A. Wall, & F. B. Samson (Eds.), Predicting species occurrences: Issues of accuracy and scale (pp. 7-21). Washington DC: Island.
81. Ingold, T. (1993). The temporality of the landscape. World Archaeology, 25, 152-174.
82. Ingold, T. (2000). The perception of the environment. Essays on livelihood, dwelling and skill. London: Routledge.
83. Ittleson, W. H. (Ed.). (1973). Environment and cognition. New York: Seminar.
84. Jochim, M. (1976). Hunter-gatherer subsistence and settlement: A predictive model. New York: Academic.
85. Jochim, M. (1981). Strategies for survival: Cultural behavior in an ecological context. New York: Academic.
86. Johnson, M. H. (2006). On the nature of theoretical archaeology and archaeological theory. Archaeological Dialogues, 13(2), 117-132.
87. Jones, K. T., & Madsen, D. B. (1989). Calculating the cost of resource transportation. Current Anthropology, 30, 529-534.
88. Judge, J. W., & Sebastian, L. (Eds.). (1988). Quantifying the present and predicting the past: Theory, method and application of archaeological predictive modelling. Denver: U. S. Department of the Interior, Bureau of Land Management.
89. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, XLVII, 263-291.
90. Kamermans, H., & Wansleeben, M. (1999). Predictive modelling in Dutch archaeology, joining forces. In J. A. Barceló, I. Briz, & A. Vila (Eds.), New techniques for old times-CAA98. Computer applications and quantitative methods in archaeology (pp. 225-230). Oxford: Archaeopress.
91. Kamermans, H., van Leusen, M., & Verhagen, P. (Eds.). (2009). Archaeological prediction and risk management. Leiden: Leiden University Press.
92. Kelly, R. L. (1995). The foraging spectrum: Diversity in hunter-gatherer lifeways. Washington DC: Smithsonian Institution.
93. King, T. F. (1984). An overview of the archaeological law at the federal level. American Archaeology, 4, 115-118.
94. Kitchin, R., & Blades, M. (2002). The cognition of geographic space. London: I. B. Taurus.
95. Kitchin, R., & Freundschuh, S. (Eds.). (2000). Cognitive mapping. Past, present, and future. London: Routledge.
96. Kohler, T. A., & Gumerman, G. J. (Eds.). (2000). Dynamics in human and primate societies: Agent-based modeling of social and spatial processes. New York: Oxford University Press.
97. Kohler, T. A., & Parker, S. C. (1986). Predictive models for archaeological resource location. In M. B. Schiffer (Ed.), Advances in archaeological method and theory (Vol. 9, pp. 397-452). New York: Academic.
98. Kohler, T. A., & van der Leeuw, S. (Eds.). (2007). Model-based archaeology of socionatural systems. Santa Fe: School of Advanced Research.
99. Kohler, T. A., Johnson, C. D., Varien, M., Ortman, S., Reynolds, R., Kobti, Z., et al. (2007). Settlement ecodynamics in the prehispanic Central Mesa Verde Region. In T. A. Kohler & S. E. van der Leeuw (Eds.), Model-based archaeology of socionatural systems (pp. 61-104). Santa Fe: School of Advanced Research.
100. Kosso, P. (1991). Method in archaeology: Middle-range theory as hermeneutics. American Antiquity, 56, 621-627.
101. Kosso, P. (2006). Introduction. The epistemology of archaeology. In G. G. Fagan (Ed.), Archaeological fantasies (pp. 3-22). London: Routledge.
102. Kvamme, K. L. (1983). A manual for predictive site location models: examples from the Grand Junction District, Colorado. Grand Junction District: Bureau of Land Management.
103. Kvamme, K. L. (1984). Models of prehistoric site location near Pinyon Canyon, Colorado. In C. J. Condie (Ed.), Papers of the Philmont Conference on the archaeology of Northeastern New Mexico (pp. 349-370). Albuquerque: New Mexico Archaeological Council.
104. Kvamme, K. L. (1985). Determining empirical relationships between the natural environment and prehistoric site locations: A hunter-gatherer example. In C. Carr (Ed.), For concordance in archaeological analysis: Bridging data structure, quantitative technique, and theory (pp. 208-238). Prospect Heights: Waveland.
105. Kvamme, K. L. (1988). Development and testing of quantitative models. In W. J. Judge & L. Sebastian (Eds.), Quantifying the present and predicting the past: Theory, method, and application of archaeological predictive modelling (pp. 325-428). Denver: U. S. Department of the Interior, Bureau of Land Management.
106. Kvamme, K. L. (1990). The fundamental principles and practice of predictive archaeological modeling. In A. Voorrips (Ed.), Mathematics and information science in archaeology: A flexible framework (pp. 257-295). Bonn: Holos Verlag.
107. Lake, M. W. (2000). MAGICAL computer simulation of mesolithic foraging. In T. A. Kohler & G. J. Gumerman (Eds.), Dynamics in human and primate societies: Agent-based modeling of social and spatial processes (pp. 107-143). New York: Oxford University Press.
108. Levinson, L. C. (1992). Language and cognition: The cognitive consequences of spatial description in Guugu Yimithirr. Nijmegen: The Max Planck Institute for Psycholinguistics.
109. Limp, W. F., & Carr, C. (1985). The analysis of decision making: Alternative applications in archaeology. In C. Carr (Ed.), For concordance in archaeological analysis: Bridging data structure, quantitative technique, and theory (pp. 128-172). Prospect Heights: Waveland.
110. Llobera, M. (1996). Exploring the topography of mind: GIS, social space and archaeology. Antiquity, 70, 612-622.
111. Llobera, M. (2000). Understanding movement: A pilot model towards the sociology of movement. In G. Lock (Ed.), Beyond the map. Archaeology and spatial technologies (pp. 65-84). Amsterdam: IOS Press/Ohmsha.
112. Llobera, M. (2001). Building past landscape perception with GIS: Understanding topographic prominence. Journal of Archaeological Science, 28, 1005-1014.
113. Llobera, M. (2003). Extending GIS-based visual analysis: The concept of visualscapes. International Journal of Geographical Information Science, 17, 25-48.
114. Lock, G., & Stančič, Z. (Eds.). (1995). Archaeology and geographic information systems: A European perspective. London: Taylor and Francis.
115. Lunneborg, C. E. (2000). Data analysis by resampling: Concepts and applications. Pacific Grove: Duxbury.
116. MacArthur, R. H., & Pianka, E. R. (1966). On the optimal use of a patchy environment. The American Naturalist, 100, 603-609.
117. Mathys, L., Zimmermann, N. E., Zbinden, N., & Suter, W. (2006). Identifying habitat suitability for hazel grouse Bonasia bonasia at the landscape scale. Wildlife Biology, 12(4), 357-366.
118. Merton, R. K. (1968). Social theory and social structure (3rd ed.). New York: Free.
119. Metcalfe, D., & Barlow, K. R. (1992). A model for exploring the optimal trade-off between field processing and transport. American Anthropologist, 94, 340-356.
120. Millard, A. R. (2005). What can Bayesian statistics do for predictive modelling? In M. van Leusen & H. Kamermans (Eds.), Predictive modelling for archaeological heritage management: A research agenda (pp. 169-182). Amersfoort: Rijksdienst voor het Oudheidkundig Bodemonderzoek.
121. Miller, J. H., & Page, S. E. (2007). Complex adaptive systems: An introduction to computational models of social life. Princeton: Princeton University Press.
122. Mischka, D. (2008). Territorial modelling and archaeological data: How complete must the picture be? In A. Posluschny, K. Lambers, & I. Herzog (Eds.), Layers of perception. Proceedings of the 35th International Conference on Computer Applications and Quantitative Methods in Archaeology (CAA), Berlin, Germany, April 2-6, 2007 (pp. 280 & CD-ROM). Bonn: Dr. Rudolf Habelt GmbH.
123. Moore, G. T. (1979). Knowing about environmental knowing: The current state of theory and research on environmental cognition. Environment and Behavior, 11, 33-70.
124. Nackaerts, K., Govers, G., & Orshoven, J. V. (1999). Accuracy assessment of probabilistic visibilities. International Journal of Geographical Information Science, 13, 709-721.
125. Nagel, E. (1961). The structure of science: Problems in the logic of scientific explanation. New York: Harcourt, Brace and World.
126. Natural Resources Spatial Analysis Lab (NARSAL), University of Georgia (2010). Georgia Gap Analysis Project (GA_GAP): Vertebrate Models. http://narsal. uga. edu/gap/vertebrate_models. Website with restricted access.
127. O'Connell, J. F., & Hawkes, K. (1984). Food choice and foraging sites among the Alyawara. Journal of Anthropological Research, 40, 435-504.
128. Oliver, R. M., & Smith, J. Q. (1990). Influence diagrams, belief nets, and decision analysis. New York: Wiley.
129. Oreskes, N. (1998). Evaluation (not validation) of quantitative models. Environmental Health Perspectives, 106, 1453-1460.
130. Oreskes, N. (2003). The role of quantitative models in science. In C. D. Canham, J. J. Cole, & W. K. Lauenroth (Eds.), Models in ecosystem science (pp. 13-31). Princeton: Princeton University Press.
131. Oreskes, N., Shrader-Frechette, K., & Belitz, K. (1994). Verification, validation, and confirmation of numerical models in the earth sciences. Science, 263, 641-646.
132. Orians, G. F., & Pearson, N. E. (1979). On the theory of central place foraging. In D. J. Horn, R. D. Mitchell, & C. R. Stairs (Eds.), Analysis of ecological systems (pp. 154-177). Columbus: Ohio State University Press.
133. O'Sullivan, D., and M. N. Gahegan. 2007. Issues around verification, validation, calibration, and confirmation of agent-based models of complex spatial systems. Paper presented at the NSF-ESRC Workshop on agent-based models of complex spatial systems. Santa Barbara, CA, April 14-16. http://www. m8p. com. Accessed on 2 November 2010.
134. Parker, S. C. (1985). Predictive modeling of site settlement systems using multivariate logistics. In C. Carr (Ed.), For concordance in archaeological analysis: Bridging data structure, quantitative technique, and theory (pp. 173-207). Prospect Heights: Waveland Press.
135. Pearl, J. (2000). Causality: Models, reasoning and inference. Cambridge: Cambridge University Press.
136. Peeters, J. H. M. (2007). Hoge Vaart-A27 in context: Towards a model of Mesolithic-Neolithic land use dynamics as a framework for archaeological heritage management. Amersfoort: Rijksdienst voor Archeologie, cultuurlandschap en monumenten.
137. Peters, J., Baets, B. De, Verhoest, N. E. C., Samson, R., Degroeve, S., Becker, P. De, et al. (2007). Random forests as a tool for ecohydrological distribution modelling. Ecological Modelling, 207, 304-318.
138. Plog, F., & Hill, J. M. (1971). Explaining variability in the distribution of sites. In G. J. Gumerman (Ed.), The distribution of prehistoric population aggregates (pp. 7-37). Prescott: Prescott College Press.
139. Pollard, A. M. (2004). Putting infinity up on trial: A consideration of the role of scientific thinking in future archaeologies. In J. Bintliff (Ed.), A companion to archaeology (pp. 380-396). Malden: Blackwell Publishing Ltd.
140. Popper, K. (1959). The logic of scientific discovery. New York: Basic Books.
141. Raab, L. M., & Goodyear, A. C. (1984). Middle-range theory in archaeology: A critical review of origins and applications. American Antiquity, 49, 255-268.
142. Raines, G. L. (1999). Evaluation of weights of evidence to predict epithermal-gold deposits in the great basin of the Western United States. Natural Resources Research, 8, 257-276.
143. Reitz, E. J., Pavao-Zuckerman, B., Weinand, D. C., & Duncan, G. A. (2010). Mission and Pueblo of Santa Catalina de Guale, St. Catherines Island, Georgia: A comparative zooarchaeological analysis. New York: American Museum of Natural History.
144. Renfrew, C., & Zubrow, E. B. (Eds.). (1994). The ancient mind. Elements of cognitive archaeology. Cambridge: Cambridge University Press.
145. Robb, J., & van Hove, D. (2003). Gardening, foraging and herding: Neolithic land use and social territories in Southern Italy. Antiquity, 77, 241-254.
146. Rose, M. R., & Altschul, J. H. (1988). An overview of statistical method and theory for quantitative model building. In W. J. Judge & L. Sebastian (Eds.), Quantifying the present and predicting the past: Theory, method, and application of archaeological predictive modelling (pp. 173-256). Denver: US Department of the Interior, Bureau of Land Management.
147. Roymans, N., & Gerritsen, F. (2002). Landscape, ecology and mentalités: A long-term perspective on developments in the Meuse-Demer-Scheldt region. Proceedings of the Prehistoric Society, 68, 257-287.
148. Roymans, N., & Kortlang, F. (1999). Urnfield symbolism, ancestors and the land in the Lower Rhine region. In F. Theuws & N. Roymans (Eds.), Land and ancestors. Cultural dynamics in the Urnfield period and the Middle Ages in the Southern Netherlands (pp. 33-61). Amsterdam: Amsterdam University Press.
149. Roymans, N., & Theuws, F. (1999). Long-term perspectives on land and people in the Meuse-Demer-Scheldt region (1100 BC-1500 AD). In F. Theuws & N. Roymans (Eds.), Land and ancestors. Cultural dynamics in the Urnfield period and the Middle Ages in the Southern Netherlands (pp. 1-32). Amsterdam: Amsterdam University Press.
150. Roymans, N., Gerritsen, F., van der Heijden, C., Bosma, K., & Kolen, J. (2009). Landscape biography as research strategy: The case of the South Netherlands project. Landscape Research, 34, 337-359.
151. Rygielski, C., Wang, J.-C., & Yen, D. C. (2002). Data mining techniques for customer relationship management. Technology in Society, 24(4), 483-502.
152. Saarinen, T. F., Seamon, D., & Sell, J. L. (Eds.). (1984). Environmental perception and behavior: An inventory and prospect. Chicago: Department of Geography, University of Chicago.
153. Salmon, W. C. (1971). Statistical explanation and statistical relevance. Pittsburgh: University of Pittsburgh Press.
154. Salmon, W. C. (1998). Causality and explanation. Oxford: Oxford University Press.
155. Schiffer, M. B. (1976). Behavorial archaeology. New York: Academic.
156. Sebastian, L., & Judge, J. W. (1988). Predicting the past: Correlation, explanation and the use of archaeological models. In W. J. Judge & L. Sebastian (Eds.), Quantifying the present and predicting the past: Theory, method, and application of archaeological predictive modelling (pp. 1-18). Denver: US Department of the Interior, Bureau of Land Management.
157. Shanks, M., & Tilley, C. (1987). Re-constructing archaeology. Cambridge: Cambridge University Press.
158. Shanks, D. R., Holyoak, K. J., & Medin, D. L. (Eds.). (1996). The psychology of learning and motivation. New York: Academic.
159. Simms, S. R. (1987). Behavorial ecology and hunter-gatherer foraging: An example from the Great Basin. Oxford: BAR International Series 381.
160. Simon, J. L. 1997. Resampling: The new statistics, 2nd edition. http://www. resample. com/content/text/index. shtml. Accessed on 2 November 2010.
161. Smith, E. A. (1991). Inujuamiut foraging strategies: Evolutionary ecology of an arctic hunting economy. New York: Aldine.
162. Smith, B. D. (Ed.). (1992). Rivers of change: Essays on early agriculture in Eastern North America. Washington, DC: Smithsonian Institution.
163. Spek, T., Groenman-van Waateringe, W., Kooistra, M., & Bakker, L. (2003). Formation and land-use history of celtic fields in north-west Europe. An interdisciplinary case study at Zeijen-The Netherlands. European Journal of Archaeology, 6, 141-169.
164. Stephens, D. W., & Krebs, J. R. (1986). Foraging theory. Princeton: Princeton University Press.
165. Styles, B. N. (1981). Faunal exploitation and resource selection: Early Late Woodland subsistence in the lower Illinois Valley. Evanston: Northwestern University Archeological Program.
166. Thomas, D. H. (1978). The awful truth about statistics in archaeology. American Antiquity, 43, 231-244.
167. Thomas, D. H. (Ed.). (2008). Native American landscapes of St. Catherines Island, Georgia. Volume I: Theoretical framework. New York: American Museum of Natural History.
168. Thurston, T. L. (2007). Infields, outfields, and broken lands: Agricultural intensification and the ordering of space during Danish state formation. In T. L. Thurston & C. T. Fisher (Eds.), Seeking a richer harvest. The archaeology of subsistence intensification, innovation and change (pp. 155-191). New York: Springer.
169. Tilley, C. (2004). The materiality of stone. Explorations in landscape phenomenology I. Oxford: Berg.
170. Tilley, C., Hamilton, S., & Bender, B. (2000). Art and the re-presentation of the past. Journal of the Royal Anthropological Institute (N. S.), 6, 35-62.
171. Tobler, W. (1993). Non-isotropic geographic modeling. In W. Tobler (Ed.), Three presentations on geographic analysis and modeling. Santa Barbara: National Center for Geographic Information and Analysis, University of California.
172. Trifković, V. (2005). Construction of space in Early Holocene iron gates. Oxford: The Institute of Archaeology, University of Oxford.
173. Tschauner, H. (1996). Middle-range theory, behavioral archaeology, and postempiricist philosophy of science in archaeology. Journal of Archaeological Method and Theory, 3, 1-30.
174. Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323.
175. van der Leeuw, S. E., & McGlade, J. (Eds.). (1997). Time, process and structured transformation in archaeology. London: Routledge.
176. van Hove, D. (2003). Imagining Calabria. A GIS approach to Neolithic landscapes. Southampton: University of Southampton.
177. van Leusen, M. (2009). Archaeological predictions contested: The role of the Dutch indicative map of archaeological values (IKAW) in local planning procedures. In H. Kamermans, M. van Leusen, & P. Verhagen (Eds.), Archaeological prediction and risk management (pp. 39-46). Leiden: Leiden University Press.
178. van Leusen, M., & Kamermans, H. (Eds.). (2005). Predictive modelling for archaeological heritage management: A research agenda. Amersfoort: Rijksdienst voor het Oudheidkundig Bodemonderzoek.
179. van Leusen, M., Millard, A. R., & Ducke, B. (2009). Dealing with uncertainty in archaeological prediction. In H. Kamermans, M. van Leusen, & P. Verhagen (Eds.), Archaeological prediction and risk management (pp. 123-173). Leiden: Leiden University Press.
180. Verhagen, P. (2005). Prospection strategies and archaeological predictive modelling. In M. van Leusen & H. Kamermans (Eds.), Predictive modelling for archaeological heritage management: A research agenda (pp. 109-121). Amersfoort: Rijksdienst voor het Oudheidkundig Bodemonderzoek.
181. Verhagen, P. (2006). Quantifying the qualified: The use of multicriteria methods and Bayesian statistics for the development of archaeological predictive models. In M. Mehrer & K. Wescott (Eds.), GIS and archaeological site location modeling (pp. 191-216). Boca Raton: CRC Press.
182. Verhagen, P. (2007a). A condensed history of predictive modelling in archaeology. In P. Verhagen (Ed.), Case studies in archaeological predictive modelling (pp. 13-25). Leiden: Leiden University Press.
183. Verhagen, P. (2007b). Predictive models put to the test. In P. Verhagen (Ed.), Case studies in archaeological predictive modelling (pp. 115-168). Leiden: Leiden University Press.
184. Verhagen, P., & Borsboom, A. (2009). The design of effective and efficient trial trenching strategies for discovering archaeological sites. Journal of Archaeological Science, 36, 1807-1816.
185. Verhoef, P. C. (2003). Understanding the effects of customer relationship management efforts on customer retention and customer share development. Journal of Marketing, 67(4), 30-45.
186. Wakker, P. P., Timmermans, D. R. M., & Machielse, I. A. (2003). The effects of statistical information on insurance decisions and risk attitudes. Amsterdam: Department of Economics, University of Amsterdam.
187. Warren, R. E. (1990). Predictive modelling in archaeology: A primer. In K. M. Allen, S. W. Green, & E. B. W. Zubrow (Eds.), Interpreting space: GIS and archaeology (pp. 90-111). London: Taylor and Francis.
188. Weber, A. (1929). Theory of the location of industries. Chicago: University of Chicago.
189. Wescott, K. L., & Brandon, R. J. (Eds.). (2000). Practical applications of GIS for archaeologists: A predictive modeling kit. London: Taylor and Francis.
190. Wheatley, D. (1993). Going over old ground: GIS, archaeological theory and the act of perception. In J. Andresen, T. Madsen, & I. Scollar (Eds.), Computing the past. Computer applications and quantitative methods in archaeology. CAA92 (pp. 133-138). Aarhus: Aarhus University Press.
191. Wheatley, D. 2004. Making space for an archaeology of place. Internet Archaeology 15. http://intarch. ac. uk/journal/issue15/wheatley_index. html.
192. Wheatley, D., & Gillings, M. (2002). Spatial technology and archaeology. The archaeological applications of GIS. London: Taylor and Francis.
193. Whitley, T. G. (2003). GIS as an interpretative tool for addressing risk management and cognitive spatial dynamics in a slave society. In M. Doerr & A. Sarris (Eds.), CAA 2002. The digital heritage of archaeology. Computer applications and quantitative methods in archaeology. Proceedings of the 30th Conference, Heraklion, Crete, April 2002, archive of monuments and publications (pp. 209-215). Heraklion: Hellenic Ministry of Culture.
194. Whitley, T. (2004). Causality and cross-purposes in archaeological predictive modeling. In A. Fischer Ausserer, W. Börner, M. Goriany, & L. Karlhuber-Vöckl (Eds.), [Enter the past]: The E-way into the four dimensions of cultural heritage: CAA 2003: Computer applications and quantitative methods in archaeology: Proceedings of the 31th Conference, Vienna, Austria, April 2003 (pp. 236-239). Oxford: Archaeopress.
195. Whitley, T. G. (2005). A brief outline of causality-based cognitive archaeological probabilistic modeling. In M. van Leusen & H. Kamermans (Eds.), Predictive modelling for archaeological heritage management: A research agenda (pp. 123-138). Amersfoort: Rijksdienst voor het Oudheidkundig Bodemonderzoek.
196. Whitley, T. G., Moore, G., Goel, G., & Jackson, D. (2009). Beyond the marsh: Settlement choice, perception and spatial decision-making on the Georgia coastal plain. In B. Frischer, J. Crawford, & D. Kollers (Eds.), CAA 2009. Making history interactive. computer applications and quantitative methods in archaeology. Proceedings of the 37th Conference, Williamsburg, VA, USA (pp. 380-390). Oxford: Archaeopress.
197. Wilkinson, T. J., Gibson, M., Christianson, J. H., Widell, M., Schloen, D., Kouchoukos, N., et al. (2007). Modeling settlement systems in a dynamic environment: Case studies from Mesopotamia. In T. A. Kohler & S. E. van der Leeuw (Eds.), Model-based archaeology of socionatural systems (pp. 175-208). Santa Fe: School of Advanced Research.
198. Willey, G. R. (1953). Prehistoric settlement in the Virú Valley, Peru. Washington, DC: United States Government Printing Office.
199. Winterhalder, B. (1987). The analysis of hunter-gatherer diets: Stalking and optimal foraging model. In M. Harris & E. Ross (Eds.), Food and evolution (pp. 311-319). Philadelphia: Temple University Press.
200. Winterhalder, B., & Kennett, D. (2006). Behavioral ecology and the transition from hunting and gathering to agriculture. In D. Kennett & B. Winterhalder (Eds.), Behavioral ecology and the transition to agriculture (pp. 1-21). Berkeley: University of California Press.
201. Witcher, R. E. (1999). GIS and landscapes of perception. In M. Gillings, D. Mattingly, & J. van Dalen (Eds.), Geographical information systems and landscape archaeology (pp. 13-22). Oxford: Oxbow.
202. Wylie, A. (2002). Thinking from things. Essays in the philosophy of archaeology. Berkeley: University of California Press.
203. Zeanah, D. (1996). Predicting settlement patterns and mobility strategies: An optimal foraging analysis of hunter-gatherer use of mountain, desert, and wetland habitats in the Carson Desert. Salt Lake: Department of Anthropology, University of Utah.
204. Zeidler, J. A. (1995). Archaeological inventory survey standards and cost-estimation guidelines for the Department of Defense. Champaign: USACERL.
205. Zeidler, J. A. (Ed.). (2001). Dynamic modeling of landscape evolution and archaeological site distributions: A three-dimensional approach. Fort Collins: Center for Environmental Management of Military Lands, Colorado State University.
206. Zimmermann, F., & Breitenmoser, U. (2007). Potential distribution and population size of the Eurasian lynx Lynx lynx in the Jura Mountains and possible corridors to adjacent ranges. Wildlife Biology, 13(4), 406-416.