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Jeremy Black Jason Harris Andrew David John N. Moore 《Imago Mundi: The International Journal for the History of Cartography》2013,65(1):168-171
English Maps: A History. By Catherine Delano‐Smith and Roger J. P. Kain. London: The British library, 1999. Toronto: University of Toronto Press, 1999. ISBN 0 7123 4609 0 (cloth); 0 7123 4660 0 (paper). Pp. xiv, 320, illus., col. plates. STG£25.00 (cloth). Abraham Ortelius and the First Atlas: Essays Commemorating the Quadricentennial of his Death, 1598–1998. Edited by Marcel van den Broecke, Peter van der Krogt and Peter Meurer. Utrecht: HES Publishers, 1998. ISBN 90 6194 388 4. Pp. 430, illus.,. 19 col. plates. DFL371.00(cloth). A Biographical Index of East India Company Maritime Service Officers 1600–1834. By Anthony Farrington. London: The British Library, 1999. ISBN 0 7123 4647 3. Pp. 886. STG£85.00 (cloth). Catalogue of East India Company Ships’ Journals and Logs 1600–1834. By Anthony Farrington. London: The British Library, 1999. ISBN 0 7123 4646 5. Pp. 789. STG£85.00 (doth). Ordnance Survey Small‐Scale Maps: Indexes: 1801–1998. By Roger Hellyer. Kerry, Newtown, Montgomeryshire: David Archer, 1999. ISBN 0951757954. Pp. xxiv, 264, illus. STG£35.00 (cloth). [David Archer, Kerry, Wales SY16 . 4PD.] 相似文献
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Material Choices for Fibre in the Neolithic: An Approach through the Measurement of Mechanical Properties
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Studies of the Mesolithic–Neolithic transition in Europe have focused on plants and animals exploited for food. However, the exploitation of plants for fibres underwent a significant change with the addition of domestic flax as a fibre crop. While the technology of flax fibre processing is increasingly understood by archaeologists, its material value as a fibre crop in comparison to indigenous fibre is less well explored. We examine the mechanical properties of flax and two indigenous fibres (lime bast, willow bast), by testing fibre strips for tensile properties and discuss the results in the light of material choices in these periods. 相似文献
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Spatial Autoregressive Models for Geographically Hierarchical Data Structures 总被引:2,自引:0,他引:2
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This article discusses how standard spatial autoregressive models and their estimation can be extended to accommodate geographically hierarchical data structures. Whereas standard spatial econometric models normally operate at a single geographical scale, many geographical data sets are hierarchical in nature—for example, information about houses nested into data about the census tracts in which those houses are found. Here we outline four model specifications by combining different formulations of the spatial weight matrix W and of ways of modeling regional effects. These are (1) groupwise W and fixed regional effects; (2) groupwise W and random regional effects; (3) proximity‐based W and fixed regional effects; and (4) proximity‐based W and random regional effects. We discuss each of these model specifications and their associated estimation methods, giving particular attention to the fourth. We describe this as a hierarchical spatial autoregressive model. We view it as having the most potential to extend spatial econometrics to accommodate geographically hierarchical data structures and as offering the greatest coming together of spatial econometric and multilevel modeling approaches. Subsequently, we provide Bayesian Markov Chain Monte Carlo algorithms for implementing the model. We demonstrate its application using a two‐level land price data set where land parcels nest into districts in Beijing, China, finding significant spatial dependence at both the land parcel level and the district level. 相似文献
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