人类学学报 ›› 2017, Vol. 36 ›› Issue (03): 331-343.

• 人类学学报 • 上一篇    下一篇

石制品研究中的定量分析方法:组合间对比

刘吉颖;黄永梁;陈虹   

  • 出版日期:2017-09-15 发布日期:2017-09-15

Quantitative analysis in lithic study: Comparison of assemblages

LIU Jiying, HUANG Yongliang, CHEN Hong   

  • Online:2017-09-15 Published:2017-09-15

摘要: 石制品组合间对比是石制品研究的关键一环,定量分析凭借其在复杂变量对比研究中具有的客观优势拓宽了石制品组合间对比的视野,与考古学思想、石制品组合内涵解读的深化具有相辅相成的关系。一般而言,定量分析方法分为图表法和统计法两类,主要包括三个基本步骤:选择对比组合,确定研究目标;根据研究目标提取变量;选择合适的定量分析方法。值得注意的是,考古学解释仍为石制品研究的重点,定量分析方法更多作为一种辅助手段,应用时需检验其有效性。

关键词: 定量分析;石制品组合;组合间对比

Abstract: Comparing assemblages is a key to lithic analysis. From the history perspective, the interpretation of lithic assemblage may be outlined two aspects:1)a lithic assemblage is sets of objects and features generally from a site or a layer, we might get the meaning of technology, culture, or even function from the analysis of presence or absence of its material or composition; 2)lithic assemblage was formed in a complex process, therefore, besides concerning similarity and difference between the assemblages, factors like the boundary of the assemblage and the life cycle of artifacts should also be taken into consideration. Nowadays, under the circumstance of interdiscipline, with the objective advantages in multivariate comparative study, quantitative analysis broadens the horizon of comparing assemblages. The method includes graphical method and statistics. However, such kind of practice is relatively insufficient in China. The advantages of graphical method are those could present complex data multidimensionally and simultaneously and also contribute to increase the readability. It chiefly includes Cumulative Graph/Curves, Clustered Histogram/Accumulative Histogram, Snowflake Diagram and Radar Graph. The characteristic of the latter two is that they could reduce the variates with classification, and obtain more information. Nevertheless, it is better to combine the methods like use-wear analysis and residue analysis in classification to improve the accuracy of the information. In statistics, assemblage diversity has been paid close attention by researchers all the time, including the aspects of richness, evenness and heterogeneity. The available methods could be regression method, simulation method, Shannon-Weaver information statistic H, Pielou statistic J and so on. Considering the sample effect, researchers now prefer nonparametric estimators like Jackknife Technique, Bootstrap, Rarefaction (Interpolation) and Extrapolation. With the correlation and confidential intervals given by these methods, researchers may estimate the “true” size of assemblage when the sample size is limited but the variants are in dependency. The general procedure of quantitative analysis is confirming the research target, and then extracting variate, examining the correlation, after that choosing the method, finally returning to qualitative analysis. Although quantitative analysis provides an opportunity for comparing assemblages, it still lacks unification and standards. Therefore, when these methods are put to use, it should be placed into the archaeology frame with cautious consideration. In a word, in spite of the objectivity of artifacts assemblage comparison that quantitative analysis could add, this method should still be regarded as a supplementary method, to be more precisely, a supplement to qualitative analysis.

Key words: Quantitative analysis; Lithic assemblage; Comparing assemblages