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Socioeconomic History in Space: Song-Jia Region of Late Ming China as Seen in a GIS Dataset

Socioeconomic History in Space: Song-Jia Region of Late Ming China as Seen in a GIS Dataset. PNC 2005 Annual Conference Honolulu, November 2, 2005 Billy K. L. So, The Chinese University of Hong Kong Lin Hui, The Chinese University of Hong Kong.

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Socioeconomic History in Space: Song-Jia Region of Late Ming China as Seen in a GIS Dataset

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  1. Socioeconomic History in Space: Song-Jia Region of Late Ming China as Seen in a GIS Dataset PNC 2005 Annual Conference Honolulu, November 2, 2005 Billy K. L. So, The Chinese University of Hong Kong Lin Hui, The Chinese University of Hong Kong

  2. Project on Cotton Textile Industry in Songjiang Region during the Late Ming Period • The region of Ming Songjiangfu and Ming Jiading county in the Lower Yangzi delta (modern Shanghai) • c.a. 1550 to 1644 • This region was the major cotton textile production area of late imperial China.

  3. Three major objectives • To construct a micro dataset of Historical GIS featuring the spatial structure of the region where this industry prospered; • To reinterpret the economic performance of this cotton economy based on the newly constructed GIS dataset; • To explore the institutional matrix of the cotton industry in the late Ming Songjiang Region.

  4. Historical GIS Database on the Songjiang Region in late Ming China • Presents the GIS dataset outcome of this project. • The data of this GIS Dataset can be downloaded free by researchers but is only for research purpose. • If used for academic or educational, it must be clearly acknowledged. • New data, more accurate data, better organization of the data, analysis output of the data, and etc. are most welcome.

  5. Data under seven categories • a) cities and towns; • b) boundaries of sub-district level admin unit of bao and du and the population data; • c) transportation routes and docks; • d) eminent families in Songjiangfu; • e) temples; • f) schools; and • g) topography and reference maps.

  6. Limitations of the Data • Scarcity of historical data • Lapse of recorded data • Use of illustrative maps • Use of estimates • Inconsistency across places • No sequential and comparable data for construction of Time-Map during this period • Change of landscape and the limitations of contemporary digital or remote sensing data

  7. The website:http://www.jlgis.cuhk.edu.hk/songjiang/

  8. Thank you !

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