基于农业大数据可视化方法的中国生猪空间流通模式

doi:10.13249/j.cnki.sgs.2017.01.014

地理科学 ›› 2017, Vol. 37 ›› Issue (1): 118-124.doi: 10.13249/j.cnki.sgs.2017.01.014

所属专题：地理大数据

基于农业大数据可视化方法的中国生猪空间流通模式

刘勍¹(), 毛克彪^1,^2,³(), 马莹¹, 谭雪兰², 韩家琪¹, 黎玲萍⁴, 夏浪⁵

1.中国农业科学院农业资源与农业区划研究所/呼伦贝尔草原生态系统国家野外科学观测研究站,北京 100081
2.湖南农业大学资源环境学院,湖南长沙410128
3.东北农业大学资源与环境学院,黑龙江哈尔滨150030
4. 北京化工大学信息科学与技术学院,北京 100029
5.北京农林科学院国家农业智能装备工程技术研究中心,北京 100097

收稿日期:2016-03-14 修回日期:2016-05-13 出版日期:2017-01-15 发布日期:2017-01-15
作者简介:
作者简介：刘勍(1992-),黑龙江鹤岗人,助理研究员,硕士,研究方向为农业大数据、农业空间分析与农村区域发展。E-mail: 18910632571@163.com
基金资助:
国家自然科学基金项目（41571427）、中央级公益性科研院所专项资金（IARRP-2015-26）、农业部农业信息预警专项（534-2&3）资助

Pig's Circulation Pattern Based on Agricultural Big Data Visualization Method in China

Qing Liu¹(), Kebiao Mao^1,^2,³(), Ying Ma¹, Xuelan Tan², Jiaqi Han¹, Lingping Li⁴, Lang Xia⁵

1.Institute of Agricultural Resources and Regional Planning National/Hulunber Grassland Ecosystem Observation and Research Station, Chinese Academy of Agricultural Sciences, Beijing 100081
2. College of Resources and Environment, Hunan Agricultural University, Changsha 410128, Hunan, China
3. College of Resources and Environment, Northeast Agricultural University, Harbin 150030, Heilongjiang, China
4. College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China
5. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing 100097

Received:2016-03-14 Revised:2016-05-13 Online:2017-01-15 Published:2017-01-15
Supported by:
National Natural Science Foundation of China (41571427), National Nonprofit Institute Research Grant of CAAS (IARRP-2015-26), Ministry of Agriculture GIEWS Special Research (534-2&3).

摘要/Abstract

摘要：

利用大数据可视化手段研究中国省际间生猪流通问题,用GIS将整合后的多源数据进行数据可视化,研究中国19个省（市）的区域间生猪流通现状。参照《国家新型城镇化规划（2014~2020年）》和前人研究成果,将区域间生猪流通现状与中国城市群可视化结果结合进行分析,归纳各城市群生猪流通现况,获得基于城市群发展的生猪空间流通模式,从空间角度分析中国整体生猪空间流通格局存在问题。结果显示,中国总体生猪流向有明显的“西猪东运,北猪南运”趋势,京津冀城市群、长江三角洲城市群和珠江三角洲城市群是中国最主要3个吸纳外埠生猪供应地区,是中国整体生猪流通系统中最重要的组成部分。

关键词: 大数据, 数据可视化, 生猪流通, 城市群, 流通模式

Abstract:

This article researched into the pig’s circulation in China by using data visualization and combined analysis of the current status of pig’s circulation and the Chinese urban agglomeration. At the end of the study, the results showed the spatial distribution pattern of pigs in China based on the status quo of the development of urban agglomeration, and provided the basis for policy formulation for the relevant agricultural sector. In this article, Beijing, Tianjin, Shanghai, Chongqing, Heilongjiang, Jilin, Liaoning, Shandong, Hebei, Henan, Hubei, Hunan, Anhui, Jiangsu, Zhejiang, Sichuan, Yunnan, Guangdong, Guangxi and municipalities were chosen as the research object. Firstly, statistical data on pigs was integrated with GIS data, remote sensing data and network data to result in an integrated multi-source data. When big data technology and GIS was used to visualize this integrated multi-source data we can get the status quo of pig’s circulation in 19 provinces and municipalities. The visualization process was based on the New national urbanization plan (2014-2020) and the results of previous studies for dividing China into urban agglomeration. The results of the study was due to the combined analysis of the status quo of the pig’s circulation and the visualization results of the urban agglomeration in china. The study summed up the current situation of the pigs circulation of the city group to get the spatial distribution pattern of pigs based on the development of urban agglomeration in China. Finally, the problems of the distribution pattern of pigs in China was analyzed to give the corresponding solutions. According to the analysis of the spatial distribution of pigs, the research object was divided into 4 categories: The first category showed that the region needs to be supplied with a large number of pigs, including Beijing, Shanghai, Jiangsu, Zhejiang, Guangdong; The second category showed that, the region have both pigs inflow and outflow, including the three northeastern provinces, Henan, Shandong, Hubei, Hunan, Sichuan; The third category showed that, live pigs move out of the region including Hebei, Anhui, Yunnan, Guangxi; The fourth category is Chongqing, there is not a lot of pigs inflow and outflow. Beijing, Tianjin city group, the Yellow River Delta city group and the Zhujiang River Delta city group is the most important pork consumption areas, 69.6% of the pigs flow is related to the three groups. The main pigs production areas are concentrated in the middle, the east, the southwest and the northeast of China, and the east and southeast coastal areas are the main pigs consumption—it can be summarized as ‘pigs of the west supply in the east, pigs of the north supply in the south’. The eastern coastal areas are the most important part of the pig’s circulation system in China, the production and consumption of the pigs in the eastern coastal areas is the key factor for the change of the pig’s circulation pattern in China.

Key words: big data, visualization, pig’s circulation, urban agglomeration, circulation pattern

中图分类号:

刘勍, 毛克彪, 马莹, 谭雪兰, 韩家琪, 黎玲萍, 夏浪. 基于农业大数据可视化方法的中国生猪空间流通模式[J]. 地理科学, 2017, 37(1): 118-124.

Qing Liu, Kebiao Mao, Ying Ma, Xuelan Tan, Jiaqi Han, Lingping Li, Lang Xia. Pig's Circulation Pattern Based on Agricultural Big Data Visualization Method in China[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(1): 118-124.

图/表 4

参考文献 22

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	省（市）际生猪流通关系
城市群内部生猪流通	四川-重庆;河北-北京;安徽-浙江;安徽-江苏;安徽-上海;湖北-湖南
城市群间生猪流通	广西-广东;山东-广东;山东-上海;云南-广东;四川-北京;四川-上海;四川-广东;东北-浙江;东北-湖北;东北-北京;东北-山东;河北-山东;湖北-河南;湖北-四川;湖北-东北;湖北-广东;湖南-香港;湖南-广东;湖南-上海;河南-浙江;河南-江苏;河南-四川;河南-广东

基于农业大数据可视化方法的中国生猪空间流通模式

Pig's Circulation Pattern Based on Agricultural Big Data Visualization Method in China

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