SinoGrids(徐霞客)

概要 A brief introduction

和城市有关的数据正日益增多,且涉及到了人们生活的各个方面。而城市研究者们正在尝试从非正统城市数据里面加深对我们城市的理解。但由于很多数据过于精确,往往涉及到隐私和数据持有者的核心利益。在这样的背景下,我们发起了一个中国范围内的1Km网格尺度的微观数据平台SinoGrids,提供指南和工具,协助大规模微观数据持有者将其数据汇总到1Km网格尺度并上传到SinoGrids平台,进而形成一个“众筹”的中国基础数据平台。

 

尺度上来说,1km是既能够开展城市间区域分析也能够进行城市内部研究的尺度。同时,SinoGrids将以众包的形式进行数据开放,我们将网络上公开的或者学者贡献的数据(微博签到、taxi轨迹、交叉口数量,公交站点的数、照片等)汇总到1Km2的规模上,然后在SinoGrids平台上进行公开。也就是说平台将会显示每个公里网格的微博总量、照片总量、公交站点等数据。同时,平台上一直保持最多最全的指标和数据指南,方便公众使用。有数据资源的人可以一方面利用我们的网格来贡献自己的微观数据,另一方面可以利用其进行区域分析、城市研究、规划咨询、公共参与等等,SinoGrids将是一个公众的、开放的城市数据平台,希望能够为大家的定量城市和区域研究工作提供全面而又透明的数据支持。

 

City-related data, with a rapid growth in amount, is involving various aspects of everyone’s daily life. City researchers are devoting efforts to deepen our understanding of city based on unorthodox data. However, as most data are too precise and thus, sharing these data may offend the benefits of the original data holders. In such context, focusing on the extent of China, we initiated SinoGrids, a platform for the sharing of micro-scale data based on a 1km fishnet. Guidelines and Tools are provided for the micro-scale data holders to downscale their original datasets onto the 1km fishnet and upload to the platform of SinoGrids, forming a crowdfunding platform for basic data in China.


In terms of the scale, 1km2 is a scale both available for regional analysis between cities and internal studies of a certain city. Also, SinoGrids will share its data in the crowdsourcing way. The collected datasets, from either donations of scholars or open internet resources, (e.g. Weibo, taxi trajectory, road junctions, bus stops, photos) will be summarized to the fishnet and made public on SinoGrids data platform. In other words, the total amount of Weibo, Flickr photos and bus stops, etc. per 1km2 according to the fishnet will be displayed on the platform. The platform will also maintain the most and complete indexes and data guidelines for the convenient implementation of the public. On the one hand, data holders donate their micro-scale data through SinoGrids. On the other hand, they can realize regional analysis, urban studies, city planning consultation, and public participation under the guidelines of SinoGrids. SinoGrids will be a public and open platform for city-related data, with a hope to provide complete and transparent data support for quantized researches and regional analysis. 

数据浏览和下载 A profile for the latest dataset

Attributes of the data

D0: The 1km grids for joining with the DBF file of each attribute, ESRI File GDB (ArcGIS 10.1+), please email Dr Ying Long for downloading for the base layer of SinoGrids via longying1980@gmail.com. 

D1: Flickr, # Flickr photos, as of March 2014, provided by Dr Dong Li, DBF, Download

D2: Junctions, # road junctions, provided by Dr Ying Long, as of the end of 2011, DBF, Download

D3: Weibo, # spatial Sina weibo in the last week of September 2014 and the first week of October 2014, provided by Dr Dong Li, DBF, Download

D4: Weibo_photo, # photos in the spatial Weibos for the attribute 3 Weibo, provided by Dr Dong Li, DBF, Download 

D5: Jiepang, # Jiepang checkins, Sep 2011-Sep 2012, provided by Prof Yu Liu, DBF, Download

 

Please download the data D0 together with the DBF file

请先下载基础网格数据(D0),再下载感兴趣的属性对应的DBF文件,利用ArcGIS的Join功能进行属性数据的可视化。 

目前为开放下载,未来将转为:5KM尺度自由下载,1KM尺度VIP下载(BCL研究员和数据贡献者为VIP)

 

待补充的属性:农村居民点数量、人口、道路长度、公共服务设施数量等

  

An interactive map for the dataset 交互式地图,请点击这里

数据准备和上传(给潜在的数据提供者)How to prepare and upload datasets

请下载并阅读下面的具体指南(图文并茂),如果有任何问题,请联系Zhou Yulun(yulunmail@gmail.com)

Download
具体指南(中文)
Version 2, updated on November 14, 2014.
SinoGrid_Guildlines.docx
Microsoft Word Document 259.9 KB
Download
Python代码(2个工具)
Version 2, updated on November 14, 2014.
PythonCodes.rar
compressed file archive 1.4 KB

关于我们 About us

Initiated by发起人:Ying Long 龙瀛,北京市城市规划设计研究院

Volunteers 志愿者(谢谢你们!):

Zhou Yulun, Department of Geography and Resource Management, The Chinese University of Hong Kong (GIS datasets and coding)

Chen Qingning, Assistant Planner, Architecture Design and Research Institute of Tsinghua University (texts)

Cheng Hui, Beijing Institute of City Planning (online maps)

What is new!

We have published a BCL working paper related to SinoGrids and now this paper has been published in the journal CaGIS. Please cite our paper when you use our data for publication. 

Download
Zhou and Long 2016 CaGIS_SinoGrids.pdf
Adobe Acrobat Document 2.0 MB