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The Spatial Distribution Dataset of 2666 Chinese Traditional Villages


YU Liang1TANG Mingjie1LIU Zhitao1QIU Yuchen1FU Meng1YANG Xuhui1SHEN Junxin1
1School of Architecture,Soochow University,Suzhou 215123,China

DOI:10.3974/geodb.2020.03.22.V1

Published:Jun. 2020

Visitors:271       Data Files Downloaded:60      
Data Downloaded:10.67 MB      Citations:

Key Words:

China,traditional villages,list,spatial distribution,the fifth batch

Abstract:

Following list of Chinese traditional villages released by the Ministry of Housing and Urban-Rural development of P. R. China, Ministry of Culture of P. R. China and Ministry of Finance of P. R. China from 2012 to 2016, the 2,666 more Chinese traditional villages was released in June 2019. Using the GIS methodology, the dataset was developed based on the information about the names of the new listed villages or geo-location of villages from Baidu Map and Google earth images. Furthermore, more historical documentations or images helped to determine the village geo-location. In a few cases, If the village was not found on the map, and it was not founded in Google Earth image neither, the upper level administrative resident village nearby was adopted. The dataset was archived in .shp and .kmz data formats with data size of 7.48 MB in 6 data files (compressed to 362 KB in two data files).

Foundation Item:

Data Citation:

YU Liang,TANG Mingjie,LIU Zhitao,QIU Yuchen,FU Meng,YANG Xuhui,SHEN Junxin.The Spatial Distribution Dataset of 2666 Chinese Traditional Villages[J].Global Change Data Repository,2020.DOI:10.3974/geodb.2020.03.22.V1.

Data Product:

ID Data Name Data Size Operation
1 VillagesChina2666.kmz 210.54KB
2 VillagesChina2666.rar 151.60KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum