[1]乐 志,应天慧,马 群.园林历史研究中的量化及分析算法研究——以南京明、清杏花村地块为例[J].南京林业大学学报(自然科学版),2020,44(05):025-33.[doi:10.3969/j.issn.1000-2006.201909028.]
 YUE Zhi,YING Tianhui,MA Qun.Algorithm and quantization in historical garden research in Xinghua Village, Nanjing, in the Ming and Qing dynasties[J].Journal of Nanjing Forestry University(Natural Science Edition),2020,44(05):025-33.[doi:10.3969/j.issn.1000-2006.201909028.]
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园林历史研究中的量化及分析算法研究——以南京明、清杏花村地块为例
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
44
期数:
2020年05期
页码:
025-33
栏目:
专题报道Ⅰ(执行主编 王浩)
出版日期:
2020-09-23

文章信息/Info

Title:
Algorithm and quantization in historical garden research in Xinghua Village, Nanjing, in the Ming and Qing dynasties
文章编号:
1000-2006(2020)05-0025-09
作者:
乐 志1应天慧2马 群1
(1.南京林业大学风景园林学院,江苏 南京 210037; 2.东南大学建筑学院,江苏 南京 210009)
Author(s):
YUE Zhi1 YING Tianhui2 MA Qun1
(1.College of Landscape Architecture,Nanjing Forestry University, Nanjing 210037, China; 2.College of Architecture, Southeast University, Nanjing 210009,China)
关键词:
风景园林 私家园林 园林史 分类算法 主成分分析法 南京杏花村
Keywords:
landscape architecture private garden garden history classification algorithm principal component analysis(PCA) Xinghua Village Nanjing
分类号:
TU098.4; TU986
DOI:
10.3969/j.issn.1000-2006.201909028.
文献标志码:
A
摘要:
【目的】基于园林历史研究中大量私家园林历史信息数据化及数据分析问题,探索比传统研究范式在样本覆盖率和信息复杂降低程度两个方面更佳的研究路径。【方法】以明、清时期南京杏花村地块的45处私家园林为研究对象,通过梳理、验证历史信息,将45处园林、57项独立特征转化为合计2 565项的历史信息判定矩阵。对信息矩阵进行K-means聚类和主成分分析,并将聚类和降维之后的结果从样本覆盖率和信息复杂降低程度两个方面,与传统研究范式,如通过四要素、园主人等分类后提取高频特征研究的方法进行比对,同时比较了传统、聚类、主成分分析所得历史信息规律的差异。【结果】分析比较指出,传统分类后高频的研究方法样本覆盖率一般为45%,信息复杂度约为原样本的70%; 指定分类数为5的K-means聚类算法样本覆盖率约为42%,信息复杂度约为原样本的63%; 而采用主成分分析法可以跨过分类步骤,得到合计70%以上、信息复杂度为原样本44%的规律。在分类后获得的历史性规律中,采用传统方法只能得到离散信息,以K-means聚类后可以得到跨类型的规律,而用主成分分析法不但能得到跨类型规律,还具有提示性强、特征明显的优点。【结论】南京杏花村地块历史园林发展脉络中,园林的要素和风格更多受地块内已有园林形态影响,而非园主人身份或造园风尚引导,这突破了已有范式的常见结论。在园林历史研究中,面对大量私园时,主成分分析法具有样本覆盖率高、信息复杂度低的优点,是一种可参考的研究路径
Abstract:
【Objective】This article focuses on the digitization of historical information and data analysis of private gardens. Two new research paradigms were explored and compared with the traditional processes in terms of sample coverage and information complexity reduction. 【Method】 Forty-seven private gardens in the Xinghua Village plot in Nanjing during the Ming and Qing dynasties were examined. First, 45 gardens and 57 variables were transformed into a total of 2 565 items in a historical information matrix based on the detailed historical scrutiny. Subsequently, the information matrix was subjected to K-means clustering and the principal component analysis(PCA). Two properties, the sample coverage and information complexity reduction, were studied and compared with those of the traditional research, such as four elements, host identity, and a high-frequency feature analysis. Finally, the differences in historical laws after the above analysis were compared. 【Result】 The traditional, high-frequency analysis had a sample coverage of approximately 45% and retained 70% of the original information complexity; for the K-means clustering algorithm with a specified number of 5, the sample coverage was 42%, and 63% of the original information complexity was retained. In contrast, PCA achieved more than 70% sample coverage and only 44% of the original information complexity. Of the historical laws obtained, the traditional method could procure discrete independent information. However, both K-means clustering and PCA yielded few intersectional laws. In particular, the PCA rules showed strong suggestions and characteristics as obvious advantages. 【Conclusion】The PCA results showed that, in the context of the historical garden evolution in the Xinghua Village plot, garden elements and styles were more affected by the existing garden morphology, rather than the identity of the owners or fashions. This supersedes the common results in the existing paradigm. In conclusion, in the research of large number of private historical gardens, PCA offers the advantages of high sample coverage and low information complexity and can be considered as a standard method

参考文献/References:


[1] 顾凯.明代江南园林研究[M].南京:东南大学出版社,2010.
[2] 丁文蓓.明代以来兰州古典园林发展与特点研究[D]. 北京:北方工业大学,2017. DING W B.Research on the development and characteristics of Lanzhou classical gardens since Ming dynasty[D].Beijing:North China University of Technology,2017.
[3] 张力维.北京清代王府园林空间形态研究[D].北京:北京建筑大学,2016. ZHANG L W.Research on space morphology of the gardens of Prince's mansion in Beijing in Qing Dynasty[D].Beijing:Beijing University of Civil Engineering and Architecture,2016.
[4] 刘玉书.里根的拉弗曲线是幸存者偏差吗?里根供给侧改革对当前中国经济的启示[N].金融时报,2020-02-24(12).
[5] 宋亮亮. 幸存者偏差理论下的传播学研究反思[J]. 戏剧之家,2015(24):263. SONG L L. Reflections on communication studies under survivor bias theory[J]. Home Drama, 2015,216(24):265.
[6] MARQUES de Sá J P. Pattern recognition: concepts, methods and applications[M]. New York:Springer, 2002. DOI:10.1108/aa.2002.03322dae.002.
[7] HUANG Z X,NG M K.A note on K-modes clustering[J].Journal of Classification,2003,20(2):257-261.DOI:10.1007/s00357-003-0014-4.
[8] 刘家锋. 模式识别[M]. 2版.哈尔滨:哈尔滨工业大学出版社, 2017.
[9] BAI, Y P, CHANG Q, GUO C H, ET AL. Neo-sol productivity models for disturbed lands in Wisconsin and Georgia, USA[J]. International Journal of Energy and Environment, 2016(10):52-60. [2019-09-10].http://www.naun.org/main/NAUN/energyenvironment/2016/a142011-065.pdf.
[10] BURLEY B J,FOWLER G W,POLAKOWSKI K,et al.Soil based vegetation productivity model for the north Dakota coal mining region[J].Int J Surf Min Reclam Environ,2001,15(4):213-234.DOI:10.1076/ijsm.15.4.213.7415.
[11] 应天慧,张青萍.明清南京城区私家园林基址规模探究——以门西杏花村为例[J].园林,2018(8):68-72.YING T H,ZHANG Q P.Research on scale of private gardens in Nanjing urban area in Ming and Qing Dynasties:taking the Xinghua Village in Menxi area as an example[J].Landscape Architecture,2018(8):68-72.
[12] 许建平,丁玉娜,吕蒙,等. 王世贞书目类纂:上[M]. 南京:凤凰出版社, 2012.
[13] 陈作霖,陈诒绂. 金陵琐志九种:上[M]. 南京:南京出版社, 2008.
[14] 周晖.金陵琐事·续金陵琐事·二续金陵琐事[M].南京:南京出版社,2007.
[15] 顾起元.客座赘语[M].上海:上海古籍出版社,1996.
[16] 吴应箕.留都见闻录[M].南京:南京出版社,2009.
[17] 陈作霖,陈诒绂. 金陵琐志九种:下[M]. 南京:南京出版社, 2008.
[18] 朱偰.金陵古迹图考[M].北京:中华书局,2015.
[19] 陈沂. 洪武京城图志:金陵古今图考[M]. 南京:南京出版社, 2017.
[20]李勇.南京地名大全[M]. 南京:南京出版社, 2012.
[21] 边贡.边贡诗文选[M]. 许金榜,米寿顺,选注.济南:济南出版社, 1994.
[22] 南京市地方志编纂委员会. 南京园林志[M]. 北京:方志出版社, 1997.
[23] 汪菊渊.中国古代园林史:上[M]. 北京:中国建筑工业出版社, 2006.
[24] 李浩. 唐代园林别业考论[M]. 修订版.西安:西北大学出版社, 1996.
[25] 周维权.中国古典园林史[M].北京:清华大学出版社,1990.
[26] 孙吉贵,刘杰,赵连宇.聚类算法研究[J].软件学报,2008,19(1):48-61.SUN J G,LIU J,ZHAO L Y.Clustering algorithms research[J].J Softw,2008,19(1):48-61.
[27] GELBARD R,GOLDMAN O,SPIEGLER I.Investigating diversity of clustering methods:an empirical comparison[J].Data Knowl Eng,2007,63(1):155-166.DOI:10.1016/j.datak.2007.01.002.
[28] 彭宏玉,柴旭光,陈晓纪.基于层次迭代思想的聚类算法的研究[J].唐山学院学报,2011,24(3):86-87,91.PENG H Y,CHAI X G,CHEN X J.The clustering algorithm of level iterated theory[J].J Tangshan Coll,2011,24(3):86-87,91.DOI:10.16160/j.cnki.tsxyxb.2011.03.035.
[29] DUSTIN L C. Soil based vegetation productivity modeling for a northern Michigan surface mining region[D]. East Lansing: Michigan State University, 2012.
[30] BURLEY J B, GRAY D. Soil ordination: implications for post-mining disturbance land-uses, American society for surface mining and reclamation[C]//1999 Proceedings Mining and Reclamation for the Next Millennium. Albuquerque, New Mexico, 2010:241-245. DOI:10.21000/jasmr01010241.
[31] BURLEY J B. A spatial application of a vegetation productivity equation for neo-sol reconstruction [C]// 1999 American Society for Surface Mining and Reclamation 16th Annual National Meeting in Conjunction with Western Region Ash Group 2nd Annual Forum. Scottsdale, Arizona, 1999: 708-714. DOI:10.21000/jasmr99010708.
[32] BURLEY J B. Methodology for building soil based vegetation productivity equations: a statistical approach[C]// Proceedings Thirteenth Annual Meeting American Society for Surface Mining and Reclamation: Successes and Failures: Applying Research. Knoxville, Tennessee,1996:1-107.DOI:10.21000/jasmr96010789.
[33] WU M X. Assessment of landscape visual quality of country parks: a case study of Dongxiaokou Forest Park of Beijing[J]. Urban Problems, 2014. DOI:10.13239/j.bjsshkxy.cswt.141206
[34] QI J S,WANG J B B, MACHEMER T. Defining ecological regions in Michigan based on native tree distributions [J]. Landscape Architecture, 2012(6):138-145. DOI:10.14085/j.fjyl.2012.06.029
[35] 胡珊,周明煜.基于PCA分析法的城市导识系统设计[J].包装工程,2019,40(12):97-102.HU S,ZHOU M Y.City guide system based on PCA analysis[J].Packag Eng,2019,40(12):97-102.DOI:10.19554/j.cnki.1001-3563.2019.12.017.
[36] XU H,BURLEY J,CRAWFORD P,et al.An ordination of western and Chinese burial sites[J].WSEAS Transactions on Environment and Development,2017,13:452-469.
[37] XU H, BURLEY J,CRAWFORD P, et al. Cross-cultural ordination of burial sites[J]. International Journal of Cultural Heritage, 2017(2):92-104.
[38] XU Y W, BURLEY J,CRAWFORD P, et al. A dimensional comparison between classical Chinese gardens and modern Chinese gardens[J]. WSEAS Transactions on Environment and Development, 2016(12):200-213.
[39] XU Y, BURLEY J B, MACHEMER P, et al. A cluster analysis comparison of classical Chinese gardens with modern Chinese gardens[J]. Advances in Energy and Environmental Science and Engineering, 2015(3):13-23.
[40] BURLEY J B, LOURES L. Conceptual precedent: seven landscape architectural historic sites revisited [J]. WSEAS Transactions on Environment and Development,2010(12):783-792.
[41] 徐振.南京城市开放空间形态研究(1900-2000)[M].北京:中国建筑工业出版社,2016. XU Z.Morphology of urban open space in Nanjing(1900-2000)[M].Beijing: China Architecture & Building Press,2016.
[42] 徐振,韩凌云,杜顺宝.南京明城墙周边开放空间形态研究(1930-2008年)[J].城市规划学刊,2011(2):105-113.XU Z,HAN L Y,DU S B.The morphology of open space surrounding Ming City wall in Nanjing(1930-2008)[J].Urban Plan Forum,2011(2):105-113.
[43] 徐振,韩凌云.开放空间及周边的风环境历史变化分析——以南京为例[J].城市规划学刊,2018(2): 81-88. XU Z,HAN L Y.The historical changes of winds above open spaces and the surroundings of Nanjing[J].Urban Plan Forum,2018(2):81-88.DOI:10.16361/j.upf.201802010.

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备注/Memo

备注/Memo:
收稿日期:2019-09-12 修回日期:2020-03-10 基金项目:国家自然科学基金项目(51878353)。 第一作者:乐志(605518678@qq.com),副教授,ORCID(0000-0001-9244-5610)。
更新日期/Last Update: 1900-01-01