Chapter 2. The Baix Llobregat (BALL) Demographic Database, between Historical Demography and Computer Vision (nineteenth–twentieth centuries)

J. M. Pujades-More, A. Fornés, J. Lladós, G. Brea-Martínez, M. Valls-Fígols
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引用次数: 3

Abstract

Historical studies always need empirical evidence, and the enhancement of historical research in the «Big Data Revolution» (Ruggles, 2014), inspired additional need for large quantities of high quality data. Historical demography has always consistently used considerable amounts of data, depending on the technical developments of the moment (Billari and Zagheni, 2017). Many historical demographic databases have a long tradition, such as the Historical Samples of the Netherlands (HSN), the China Multigenerational Panel Dataset (CMGPD-LN); the North Atlantic Population Project (NAPP), the Demographic Database at Umeå University (CEDAR), the Research Program in Historical Demography at Montreal University (PRDH), the Scanian Economic Demographic Database at Lund University (SEDD), among others (Cf Ruggles et al., 2011; Lee and Campbell, 2010; Mandemakers, 2002; Edvinsson, 2000; Dillon
第二章。Baix Llobregat (BALL)人口数据库,介于历史人口学和计算机视觉(19 - 20世纪)之间
历史研究总是需要经验证据,而“大数据革命”中历史研究的加强(Ruggles, 2014)激发了对大量高质量数据的额外需求。历史人口统计一直使用大量数据,这取决于当时的技术发展(Billari和Zagheni, 2017)。许多历史人口数据库有着悠久的传统,如荷兰历史样本(HSN)、中国多代面板数据集(CMGPD-LN);北大西洋人口项目(NAPP)、乌梅夫大学人口数据库(CEDAR)、蒙特利尔大学历史人口研究项目(PRDH)、隆德大学Scanian经济人口数据库(SEDD)等(Cf Ruggles et al., 2011;Lee and Campbell, 2010;Mandemakers, 2002;Edvinsson, 2000;狄龙
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