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Cited by 87

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Models of settlement hierarchy based on partial evidence

Bevan, Andrew, Wilson, Alan·2013·Journal of Archaeological Science
DOI 10.1016/j.jas.2012.12.025
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Crossref · 10.1016/j.jas.2012.12.025

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4 of 4 references verified0 citation errors · 0 not checkable

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  • Combining path models with node-based network analysis is feasible and gradually becoming more common, but full integration of both approaches is still far off.

    “Combining path models with node-based network analysis is also feasible and gradually becoming more common (Coward 2013;Bevan and Wilson 2013;Groenhuijzen andVerhagen 2015, 2017;Paliou and Bevan 2016), but we are still a long way from a full integration of both approaches.”

    From Modelling of pathways and movement networks in archaeology: an overview of current approaches (2019) · cites this paper as Bevan and Wilson 2013

  • Point Pattern Analysis (PPA) has found relatively wide application in archaeology.

    “it has found relatively wide application in archaeology (e.g., Bevan, 2020;Bevan and Wilson, 2013;Carrero-Pazos, 2018;”

    From Points, patterns, and predictions in archaeological settlement data: site-environment relationships of paracas and nasca communities in the peruvian andes (2025) · cites this paper as Bevan and Wilson, 2013

  • PPA can be used to predict site location based on the intensity of known points and their relation to specific variables, provided that the regions being compared share similar characteristics.

    “PPA can be used to predict site location based on the intensity of known points and their relation to specific variables, provided that the regions being compared share similar characteristics”

    From Points, patterns, and predictions in archaeological settlement data: site-environment relationships of paracas and nasca communities in the peruvian andes (2025) · cites this paper as Bevan and Wilson, 2013

  • Even in studies where PPA is used, first- and second-order properties are rarely analyzed together in a formal way, potentially reducing the robustness of the results.

    “Furthermore, even in studies where PPA is used, firstand second-order properties are rarely analyzed together in a formal way (as described in Bevan et al., 2013, 41), potentially reducing the robustness of the results.”

    From Points, patterns, and predictions in archaeological settlement data: site-environment relationships of paracas and nasca communities in the peruvian andes (2025) · cites this paper as Bevan et al., 2013, 41

  • Advanced approaches such as agent-based models, systems of nonlinear equations, stochastic simulations, and iterative optimisation techniques come with heavy demands on computational resources and parameter supply, limiting them to singular case studies.

    “Attempts to more fully capture the complex interaction and evolution dynamics of networks have been undertaken with considerable success in archaeology; by advanced means such as agent-based models (ABM), systems of nonlinear equations and stochastic simulations (e.g.Graham, 2006;Wilkinson et al., 2007;Bevan and Wilson, 2013;Lawall and Graham, 2018;see Evans, 2018 for an overview), and iterative”

    From Exploratory network reconstruction with sparse archaeological data and XTENT (2022) · cites this paper as Bevan and Wilson, 2013

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 28

  1. Batty, 2006, Rank clocks, Nature, 444, 592, 10.1038/nature05302 · DOI
  2. Bevan, 2010, Political geography and palatial Crete, Journal of Mediterranean Archaeology, 23, 27, 10.1558/jmea.v23i1.27 · DOI
  3. Clarke, 1973, Archaeology: the loss of innocence, Antiquity, 47, 6, 10.1017/S0003598X0003461X · DOI
  4. Crema, 2010, A probabilistic framework for assessing spatio-temporal point patterns in the archaeological record, Journal of Archaeological Science, 37, 1118, 10.1016/j.jas.2009.12.012 · DOI
  5. de Vries, 2001, Alonso's theory of movements: developments in spatial interaction modeling, Journal of Geographical Systems, 3, 233, 10.1007/PL00011478 · DOI
  6. Eppstein, 1998, Finding the k shortest paths, SIAM Journal of Computing, 28, 652, 10.1137/S0097539795290477 · DOI
  7. Evans, 2012, Interactions in space for archaeological models, Advances in Complex Systems, 15, 10.1142/S021952591100327X · DOI
  8. Evans, 1928, vol. 2
  9. Harris, 1978, Equilibrium values and dynamics of attractiveness terms in production-constrained spatial-interaction models, Environment and Planning A, 10, 371, 10.1068/a100371 · DOI
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  11. Hodder, 1977, Spatial studies in archaeology, Progress in Human Geography, 1, 33, 10.1177/030913257700100104 · DOI
  12. Knappett, 2008, Modelling maritime interaction in the Aegean Bronze Age, Antiquity, 82, 1009, 10.1017/S0003598X0009774X · DOI · Paper page
  13. Knappett, 2011, The Theran eruption and Minoan palatial collapse: new interpretations gained from modelling the maritime network, Antiquity, 85, 1008, 10.1017/S0003598X00068459 · DOI · Paper page
  14. Marchetti, 1994, Anthropological invariants in travel behaviour, Technological Forecasting and Social Change, 47, 75, 10.1016/0040-1625(94)90041-8 · DOI
  15. Menze, 2012, Mapping patterns of long-term settlement in Northern Mesopotamia at a large scale, Proceedings of the National Academy of Sciences USA, 109, E778, 10.1073/pnas.1115472109 · DOI
  16. Nystuen, 1961, A graph theory interpretation of nodal regions, Papers and Proceedings of the Regional Science Association, 7, 29, 10.1111/j.1435-5597.1961.tb01769.x · DOI
  17. Orton, 2004, Point pattern analysis revisited, Archeologia e Calcolatori, 15, 299
  18. Perlman, 1992, One hundred-citied Crete and the “Cretan Politeia”, Classical Philology, 87, 193, 10.1086/367308 · DOI
  19. Preston, 2004, A mortuary perspective on political changes in Late Minoan II-IIIB Crete, American Journal of Archaeology, 108, 321, 10.3764/aja.108.3.321 · DOI
  20. Renshaw, 2001, Gibbs point processes for studying the development of spatial-temporal stochastic processes, Computational Statistics and Data Analysis, 36, 85, 10.1016/S0167-9473(00)00028-1 · DOI
  21. Rihll, 1987, Spatial interaction and structural models in historical analysis: some possibilities and an example, Histoire et Mesure, 2, 5, 10.3406/hism.1987.1300 · DOI
  22. Saerens, 2009, Randomized shortest-path problems: two related models, Neural Computation, 21, 2363, 10.1162/neco.2009.11-07-643 · DOI
  23. Taaffe, 1963, Transport expansion in underdeveloped countries: a comparative analysis, Geographical Review, 53, 503, 10.2307/212383 · DOI
  24. Tero, 2010, Rules for biologically inspired adaptive network design, Science, 327, 439, 10.1126/science.1177894 · DOI
  25. van der Leeuw, 2004, Why model?, Cybernetics and Systems, 35, 117, 10.1080/01969720490426803 · DOI
  26. Wilson, 2008, Boltzmann, Lotka and Volterra and spatial structural evolution: an integrated methodology for some dynamical systems, Journal of the Royal Society Interface, 5, 865, 10.1098/rsif.2007.1288 · DOI
  27. Wilson, 2010, Entropy in urban and regional modelling: retrospect and prospect, Geographical Analysis, 42, 364, 10.1111/j.1538-4632.2010.00799.x · DOI · Paper page
  28. Wilson, 2012, Geographical modeling for archaeology and history: two case studies, Advances in Complex Systems, 15, 1150008, 10.1142/S0219525911003384 · DOI

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Metadata

Authors
Bevan, A., & Wilson, A.
Venue
Journal of Archaeological Science
Publisher
Elsevier BV
Published
2013-05
Volume
40
Issue
5
Pages
2415-2427
ISSN
0305-4403
DOI
10.1016/j.jas.2012.12.025
Cited by
87
References
4
Language
en
Licence

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