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基于德兴市中药材种植统计数据的时空挖掘分析
引用本文:史婷婷,张小波,陈瑜,王慧,覃明,李梦,郭兰萍.基于德兴市中药材种植统计数据的时空挖掘分析[J].中国现代中药,2023,25(11):2327-2333.
作者姓名:史婷婷  张小波  陈瑜  王慧  覃明  李梦  郭兰萍
作者单位:1.中国中医科学院 中药资源中心 道地药材品质保障与资源持续利用全国重点实验室,北京 100700;2.德兴市中医药产业发展服务中心,江西 上饶 334200;3.德兴市中医研究院试验培训基地,江西 上饶 334200
基金项目:中国中医科学院科技创新工程项目(CI2021A03902,CI2021A03901);国家中医药管理局中医药创新团队及人才支持计划项目(ZYYCXTD-D-202005);国家自然科学基金项目(82003901);中央本级重大增减支项目(2060302);中央级公益性科研院所基本科研业务费专项(ZZ14-YQ-045)
摘    要:目的:对江西省德兴市中药材种植统计数据的空间和时间特征进行挖掘分析,提供研究空间和时间相结合的中药材种植特征分析方法,为指导德兴市中药材生产和宏观决策提供可靠的数据和方法。方法:利用德兴市中药材统计数据与土地利用等数据相结合,在乡镇尺度上通过统计分析、空间自相关分析等方法对德兴市各乡镇中药材种植面积、种类、结构多个空间分异特征及机制进行分析。结果:德兴市各乡镇中药材种植面积、种类和结构在空间上差异很大,种植面积及种类都较多的乡镇土地利用类型主要以耕地和林地为主。2018—2021年,德兴市中药材种植总面积、总产量和总产值都呈逐年递增趋势。结论:研究结果可为德兴市中药产业布局提供数据支撑,有助于政府制定合理的中药材种植规划,确保市场的供需平衡,避免出现供应不足或过剩等情况。

关 键 词:德兴市  中药材  统计数据  时空挖掘  空间自相关
收稿时间:2022/11/10 0:00:00

Spatio-temporal Mining Analysis Based on Statistical Data of Traditional Chinese Medicine Planting in Dexing City
SHI Ting-ting,ZHANG Xiao-bo,CHEN Yu,WANG Hui,QIN Ming,LI Meng,GUO Lan-ping.Spatio-temporal Mining Analysis Based on Statistical Data of Traditional Chinese Medicine Planting in Dexing City[J].Modern Chinese Medicine,2023,25(11):2327-2333.
Authors:SHI Ting-ting  ZHANG Xiao-bo  CHEN Yu  WANG Hui  QIN Ming  LI Meng  GUO Lan-ping
Institution:1.State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China;2.Dexing Traditional Chinese Medicine Industry Development Service Center, Shangrao 334200, China;3.Dexing Research Institute of Traditional Chinese Medicine Experimental Training Base, Shangrao 334200, China
Abstract:Objective This paper aims to mine and analyze the spatial and temporal characteristics of the statistical data of traditional Chinese medicine planting in Dexing city, provide a method for analyzing the planting characteristics of traditional Chinese medicine that studies space and time, and offer reliable data and methods for guiding the production and macro decision-making of traditional Chinese medicine in Dexing city.Methods By combining the statistical data of traditional Chinese medicine with the data of land use in Dexing city, the spatial differentiation characteristics and mechanisms of the planting area, species, and structure of traditional Chinese medicine in each township in Dexing city were analyzed by statistics, spatial autocorrelation analysis, and other methods at the township scale.Results The planting area, species, and structure of traditional Chinese medicine in Dexing city are different in space. The land use types in the towns with more planting area and species are mainly cultivated land and forest land. From 2018 to 2021, the total planting area, total output, and total output value of traditional Chinese medicine in Dexing city are increasing year by year.Conclusion The research results can provide data support for the layout of the traditional Chinese medicine industry in Dexing city and help the government formulate a reasonable traditional Chinese medicine planting plan, ensure the balance of supply and demand in the market, and avoid insufficient or excess supply.
Keywords:Dexing city  traditional Chinese medicine  statistical data  spatio-temporal mining  spatial autocorrelation
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