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Defining and Modeling the Dimensions of Settlement Choice: An Empirical Approach

Kvamme, Kenneth L.·2023·Interdisciplinary Contributions to Archaeology
DOI 10.1007/978-3-031-49699-8_3
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  1. Arnoldus-Huyzendveld, A., & Citter, C. (2014). Site location and resources exploitation: Predictive models for the plain of Grosseto. Archeologia Medievale, 41, 65–78.
  2. Bala, A., Pavlogeorgatos, G., Tsiafakis, D., & Pavlidis, G. (2014). Efficient modelling for archaeological research. Mediterranean Archaeology and Archaeometry, 14, 119–129.
  3. Brandt, R., Groenewoudt, B. J., & Kvamme, K. L. (1992). An experiment in archaeological site location: Modeling in The Netherlands using GIS techniques. World Archaeology, 24, 268–282. · DOI · Paper page
  4. Browning, D. M., Beaupré, S. J., & Duncan, L. (2005). Using partitioned Mahalanobis D2(k) to formulate a GIS-based model of timber rattlesnake hibernacula. Journal of Wildlife Management, 69, 33–44. · DOI
  5. Davis, J. C. (2002). Statistics and data analysis in geology (3rd ed.). John Wiley.
  6. Duncan, R. B., & Beckman, K. A. (2000). The application of GIS predictive site location models within Pennsylvania and West Virginia. In K. L. Wescott & R. J. Brandon (Eds.), Practical applications of GIS for archaeologists: A predictive modeling toolkit (pp. 33–58). Taylor and Francis.
  7. Dunn, J. E., & Duncan, L. (2000). Partitioning Mahalanobis D2 to sharpen GIS classification. In C. A. Brebbia (Ed.), Management information systems 2000: GIS and remote sensing (pp. 195–204). MIT Press.
  8. Ebert, J. I. (2000). The state of the art in “inductive” predictive modeling: Seven big mistakes (and lots of small ones). In K. L. Wescott & R. J. Brandon (Eds.), Practical applications of GIS for archaeologists: A predictive modeling toolkit (pp. 129–134). Taylor and Francis.
  9. Efron, B. (1987). Better bootstrap confidence intervals. Journal of the American Statistical Association, 82, 171–182. · DOI
  10. Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27, 861–874. · DOI · Paper page
  11. Gaffney, V., & van Leusen, P. M. (1995). Postscript – GIS, environmental determinism and archaeology. In G. Lock & Z. Stancic (Eds.), Archaeology and geographical information systems: A European perspective (pp. 367–382). Taylor and Francis.
  12. Hays, W. L. (1988). Statistics (4th ed.). Holt, Rinehart and Winston.
  13. Hobbs, E. (2003). The Minnesota archaeological predictive model. In J. Kunow & J. Müller (Eds.), Symposium: The archaeology of landscapes and geographic information systems, predictive maps, settlement dynamics, and space and territory in prehistory (pp. 141–150). Archäologie im Land Brandenburg 8, Archäoprognose.
  14. Hodder, I., & Orton, C. (1976). Spatial analysis in archaeology. Cambridge University Press.
  15. Hudson, J. C. (1969). A location theory for rural settlement. Annals of the Association of American Geographers, 59, 365–381. · DOI
  16. Hutchinson, G. E. (1957). Concluding remarks. Cold Spring Harbor Symposium on Quantitative Biology, 22, 415–427. · DOI · Paper page
  17. Jochim, M. A. (1976). Hunter-gatherer subsistence and settlement: A predictive model. Academic.
  18. Jolliffe, I. T. (2002). Principal components analysis (2nd ed.). Springer.
  19. Judge, W. J., & Sebastian, L. (Eds.). (1988). Quantifying the present and predicting the past: Theory, method, and application of archaeological predictive Modeling. U.S. Department of the Interior, Bureau of Land Management.
  20. Kamermans, H. (2006). Problems in Paleolithic land evaluation: A cautionary tale. In M. W. Mehrer & K. Wescott (Eds.), GIS and archaeological site location modeling (pp. 97–112). CRC-Taylor and Francis.
  21. Kellogg, D. C. (1987). Statistical relevance and site location data. American Antiquity, 52, 143–150. · DOI
  22. 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). Academic. · DOI
  23. 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 modeling (pp. 325–428). U.S. Department of the Interior, Bureau of Land Management, U.S. Government Printing Office.
  24. 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). Holos-Verlag.
  25. Kvamme, K. L. (1997). Ranter’s corner — Bringing the camps together: GIS and ED. Archaeological Computing Newsletter, 47, 1–5.
  26. Kvamme, K. L. (2006). There and back again: Revisiting archaeological location modeling. In M. W. Mehrer & K. Wescott (Eds.), GIS and archaeological site location modeling (pp. 2–34). CRC-Taylor and Francis.
  27. Kvamme, K. L. (2020). Analyzing regional environmental relationships. In M. Gillings, P. Hacıgüzeller, & G. Lock (Eds.), Archaeological spatial analysis: A methodological guide (pp. 212–230). Cambridge University Press. · DOI
  28. Kvamme, K. L., & Jochim, M. A. (1989). The environmental basis of Mesolithic settlement. In C. Bonsall (Ed.), The Mesolithic in Europe: Papers presented at the third international symposium (pp. 1–12). John Donald Publishers, Ltd.
  29. Lock, G., & Harris, T. (2006). Enhancing predictive archaeological modeling: Integrating location, landscape, and culture. In M. W. Mehrer & K. Wescott (Eds.), GIS and archaeological site location modeling (pp. 36–55). CRC-Taylor and Francis.
  30. Maschner, H. D. G. (1996). The politics of settlement choice on the northwest coast: Cognition, GIS, and coastal landscapes. In M. Aldenderfer & H. D. G. Maschner (Eds.), Anthropology, space, and geographic information systems (pp. 175–189). Oxford University Press. · DOI
  31. Mehlman, D. W., Shepherd, U. L., & Kelt, D. A. (1995). Bootstrapping principal components analysis – A comment. Ecology, 76, 640–643. · DOI
  32. Merow, C., Smith, M. J., & Silander, J. A. (2013). A practical guide to MaxEnt for modeling species’ distributions: What it does, and why inputs and settings matter. Ecography, 36, 1058–1069. · DOI · Paper page
  33. Mosteller, F., & Tukey, J. W. (1977). Data analysis and regression. Addison-Wesley.
  34. Nakoinz, O., & Knitter, D. (2016). Modelling human behavior in landscapes. Springer. · DOI · Paper page
  35. Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231–259. · DOI · Paper page
  36. Rotenberry, J. T., Preston, K. L., & Knick, S. T. (2006). GIS-based niche modeling for mapping species’ habitat. Ecology, 87, 1458–1464. · DOI
  37. Royston, J. P. (1983). Some techniques for assessing multivariate normality based on the Shapiro-Wilk W. Applied Statistics, 32, 121–133. · DOI
  38. Schiffer, M. B. (1988). The structure of archaeological theory. American Antiquity, 53, 461–485. · DOI
  39. Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52, 591–611. · DOI · Paper page
  40. Shiloh Museum. (1989). History of Washington County, Arkansas. Shiloh Museum.
  41. Skelton, G. V. (1894). Atlas map of Washington County, Arkansas. Library of Congress.
  42. Stančič, Z., & Veljanovski, T. (2000). Understanding Roman settlement patterns through multivariate statistics and predictive modeling. In G. Lock (Ed.), Beyond the map: Archaeology and spatial technologies (pp. 147–156). IOS Press.
  43. Thomas, D. H., & Bettinger, R. L. (1976). Prehistoric piñon ecotone settlements of the Upper Reese River Valley, Central Nevada. Anthropological papers of the American Museum of Natural History, 53(3), 276–312.
  44. van Leusen, M., & Kamermans, H. (Eds.). (2005). Predictive modelling for archaeological heritage management: A research agenda. National Service for Archaeological Heritage.
  45. Veloz, S. D. (2009). Autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models. Journal of Biogeography, 36, 2290–2299. · DOI
  46. Verhagen, P., Nuninger, L., Bertoncello, F., & Barba, A. C. (2016). Estimating the “memory of landscape” to predict changes in archaeological settlement patterns. In S. Campana, R. Scopigno, G. Carpentiero, & M. Cirillo (Eds.), Keep the revolution going, proceedings of the 43rd annual conference on computer applications and quantitative methods in archaeology conference (pp. 623–636). Archaeopress.
  47. Warren, R. E. (1990a). Predictive modeling of archaeological site location: A case study in the Midwest. In K. M. S. Allen, S. W. Green, & E. B. W. Zubrow (Eds.), Interpreting space: GIS and archaeology (pp. 201–215). Taylor & Francis.
  48. Warren, R. E. (1990b). Predictive modeling in archaeology: A primer. In K. M. S. Allen, S. W. Green, & E. B. W. Zubrow (Eds.), Interpreting space: GIS and archaeology (pp. 201–215). Taylor & Francis.
  49. 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 1992 (pp. 133–138). Aarhus University Press.
  50. Wheatley, D., & Gillings, M. (2002). Spatial technology and archaeology. The archaeological applications of GIS. Taylor and Francis. · DOI · Paper page

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Metadata

Authors
Kvamme, K. L.
Venue
Interdisciplinary Contributions to Archaeology
Publisher
Springer International Publishing
Published
2023
Pages
41-70
ISSN
  • 1568-2722
  • 2730-6984
DOI
10.1007/978-3-031-49699-8_3
Cited by
2
References
2
Language
en
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CoChat. (2026). Citation check: Defining and Modeling the Dimensions of Settlement Choice: An Empirical Approach. https://app.cochat.ai/papers/10.1007/978-3-031-49699-8_3
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Kvamme, K. L. (2023). Defining and Modeling the Dimensions of Settlement Choice: An Empirical Approach. Interdisciplinary Contributions to Archaeology. https://doi.org/10.1007/978-3-031-49699-8_3