A probabilistic framework for assessing spatio-temporal point patterns in the archaeological record

Journal of Archaeological Science

Volumn 37, Issue 5, 2010, Pages 1118-1130

  Crema, Enrico R ^a   Bevan, Andrew ^a   Lake, Mark W ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Aoristic analysis; Monte Carlo method; Settlement pattern, Jomon; Spatial analysis; Temporal uncertainty

Indexed keywords

ARCHAEOLOGY; MONTE CARLO ANALYSIS; PROBABILITY; SETTLEMENT PATTERN; SPATIAL ANALYSIS; TEMPORAL ANALYSIS;

EID: 77649190278     PISSN: 03054403     EISSN: 10959238     Source Type: Journal    
DOI: 10.1016/j.jas.2009.12.012     Document Type: Article

References (41)

1. Baddeley A., and Turner R. Spatstat: an R package for analyzing spatial point patterns. Journal of Statistical Software 12 (2005) 1-42
2. Bailey T.C., and Gatrell A.C. Interactive Spatial Data Analysis (1995), Longman Scientific & Technical, Harlow
3. Baxter M.J., Beardah C.C., and Wright R.V.S. Some archaeological applications of kernel density estimates. Journal of Archaeological Science 24 (1997) 347-354
4. Bevan A., and Connolly J. Modelling spatial heterogeneity and nonstationarity in artifact-rich landscapes. Journal of Archaeological Science 36 (2009) 956-964
5. Bevan A., and Conolly J. Multiscalar Approaches to Settlement Pattern Analysis. In: Lock G., and Molyneaux B. (Eds). Confronting Scale in Archaeology: issues of Theory and Practice (2006), Springer, New York 217-234
6. Bevan A., Conolly J., and Tsaravopoulos A. The fragile communities of Antikythera. Archaeology International 10 (2008) 32-36
7. Buck C.E., Cavanagh W.G., and Litton C. Bayesian Approach to Intrepreting Archaeological Data (1996), Wiley, Chirchester
8. Castleford J. Archaeology, GIS, and the time dimension: an overview. In: Lock G., and Moffett J. (Eds). Computer Applications and Quantitative Methods in Archaeology 1991. BAR International Series S577 (1992), Tempvus Reparatvm, Oxford 95-106
9. Crema, E.R. Aoristic approaches and voxel models for spatial analysis. In: Proceedings of the 36th annual conference on Computer Applications and Quantitative Methods in Archaeology, Budapest, 2-6 April 2008, in press.
10. Daly P.T., and Lock G. Timing is everything: commentary on managing temporal variables in geographic information systems. In: Barceló J.A., Briz I., and Vila A. (Eds). New Techniques for Old Times CAA98. Bar International Series 757 (1999), Archaeopress, Oxford 259-263
11. Dewar R.E., and McBride K.A. Remnant settlement patterns. In: Rossignol J., and Wandsnider L. (Eds). Space, Time, and Archaeological Landscapes (1992), Plenum Press, New York 257-282
12. Ejstrud B. Taphonomic models: using dempster-shafer Theory to assess the quality of archaeological data and indicative models. In: Van Leusen M., and Kamermans H. (Eds). Predictive Modelling for Archaeological Heritage Management: a Research Agenda. NAR 29 (2005), ROB, Amersfoort 183-194
13. Fisher P., Farrelly C., Maddocks A., and Ruggles C. Spatial analysis of visible areas from the bronze age cairns of Mull. Journal of Archaeological Science 24 (1997) 581-592
14. Fox J. The Car Package (2008), R Foundation for Statistical Computing
15. Gavrikov V., and Stoyan D. The use of marked point processes in ecological and environmental forest studies. Environmental and Ecological Statistics 2 (1995) 331-344
16. Getis A. Interaction modeling using second-order analysis. Environment and Planning A 16 (1984) 173-183
17. Goerlich F.J. Weighted samples, kernel density estimators and convergence. Empirical Economics 28 (2003) 335-351
18. Goreaud F., and Pélissier R. On explicit formulas of edge correction for Ripley's K-function. Journal of Vegetation Science 10 (1999) 433-438
19. Habu J. Subsistence-settlment Systems and Intersite Variability in the Moroiso Phase of the Early Jomon Period of Japan (2001), International Monographs in Prehistory, Ann Arbor
20. Habu J. Ancient Jomon of Japan (2004), University of Cambridge Press, Cambridge
21. Habu J. Growth and decline in complex hunter-gatherer societies: a case study from the Jomon period Sannai Maruyama site, Japan. Antiquity 82 (2008) 571-584
22. Hatzinikolaou E. Quantitative methods in archaeological prediction: from binary to fuzzy logic. In: Mehrer M., and Wescott K. (Eds). GIS and Archaeological Site Location Modeling (2006), CRC Press, Boca Raton 437-446
23. Imamura K. Prehistoric Japan: New Perspectives on Insular East Asia (1996), UCL Press, London
24. Johnson I. Aoristic Analysis: seeds of a new approach to mapping archaeological distributions through time. In: Ausserer K.F., Börner W., Goriany M., and Karlhuber-Vöckl L. (Eds). [Enter the Past] the E-way into the Four Dimensions of Cultural Heritage: CAA2003. BAR International Series 1227 (2004), Archaeopress, Oxford 448-452
25. Kano M. Hikyojyuuikihe no Bunsannkyojyuu ga shimesu shyakai. In: Anzai M. (Ed). Jomonshakairon (Jo) (2002), Douseisha, Tokyo 235-258 (in Japanese)
26. Kobayashi K. Jomonshakaikenkyu No Shishiten: Tanso14nendaisokutei No Riyo (2004), Rokuichishobo, Tokyo (in Japanese)
27. Lake M.W., and Woodman P.E. Visibility studies in archaeology: a review and case study. Environment and Planning B: Planning and Design 30 (2003) 689-707
28. Lock G., and Harris D. Analysing change through time within a cultural landscape: conceptual and functional limitations of a GIS approach. In: Sinclair P. (Ed). The Development of Urbanism from a Global Perspective (2002), Uppsala Universitet, Uppsala. http://www.arkeologi.uu.se/afr/projects/BOOK/contents.htm Retrived 10th November 2007 from World Wide Web
29. Minami H. Hennenhyo to Kasetsunendai: hoshaseitansonendainomae ni. Kodai 111 (2002) 85-93 (in Japanese)
30. Mitchell A. The ESRI Guide to GIS analysis. Spatial Measurements and Statistics vol. 2 (2005), ESRI Press, New York
31. Nishino M. Tokyowanhigashigan No Oogatakaizuka Wo Sasaeta Seisankyoujyuyoshiki. Chiiki to Bunka No Koukogaku, I (2005), Department of Archaeology, Meiji University, Tokyo pp. 695-711
32. Ord J.K., and Getis A. Local spatial autocorrelation statistics: distribution issues and an application. Geographic Analysis 27 (1995) 286-306
33. Orton C. Sampling in Archaeology (2000), Cambridge University Press, Cambridge
34. Orton C. Point pattern analysis revisited. Archeologia e Calcolatori 15 (2005) 299-315
35. Pelissier R., and Goreaud F. The Ads Package (2008), R Foundation for Statistical Computing
36. Ratcliffe J.H. Aoristic analysis: the spatial interpretation of unspecified temporal events. International Journal of Geographical Information Science 14 (2000) 669-679
37. Robert C.P., and Casella G. Monte Carlo Statistical Methods. second ed. (2004), Springer, New York
38. Sugihara, S., 1988. Chibashifukin ni okeru jomonjidai no kaigansen no ichi to kochiri. Chibashiritsukasorikaizukahakubutsukan (ed.) Chibashiritsu Kasorikaizuka Hakubutsukan Kaikan 20shuunennkinen Tokubetsukouzakouenshu. Chibashiritsu Kasorikaizuka Hakubutsukan, Chiba, pp. 189-206.
39. Toizumi T. Kaigara seichosen kara mita jomonshutaku no keisei. Kokogaku Journal 573 (2007) 9-13 (in Japanese with English Title)
40. Wandsnider L. The spatial dimension of time. In: Rossignol J., and Wandsnider L. (Eds). Space, Time, and Archaeological Landscapes (1992), Plenum Press, New York 257-282
41. Watanabe H. Community habitation and food gathering in prehistoric Japan: an ethnographic interpretation of the archaeological evidence. In: Pearson R.J., Barnes G.L., and Hutterer K.L. (Eds). Windows on the Japanese Past: Studies in Archaeology and Prehistory (1986), Centre for Japanese Studies University of Michigan, Ann Arbor 229-254