PDF DownloadHTML ]" id="html" rel="external">HTML
[1]YANG Chao,ZHANG Shaowei,CHEN Wanxu,et al.Spatiotemporal Evolution of Information Entropy of Land Use Structure in Guangdong Province[J].Research of Soil and Water Conservation,2021,28(06):251-259.
Copy

Spatiotemporal Evolution of Information Entropy of Land Use Structure in Guangdong Province

References:
[1] 郑伟元.统筹城乡土地利用的初步研究[J].中国土地科学,2008,22(6):4-10.
[2] Kolejka J,Krejˇ/cíT,Nováková E. The pre-industrial landscape in Moravia: The case study of inventory and analysis of the ancient land use structures in the Czech Republic[J]. Land Use Policy,2020,97.DOI10.1016/j.landusepol.2020.104712.
[3] 金贵,邓祥征,赵晓东,等.2005—2014年长江经济带城市土地利用效率时空格局特征[J].地理学报,2018,73(7):1242-1252.
[4] 龚亚男,韩书成,时晓标,等.广东省“三生空间”用地转型的时空演变及其生态环境效应[J].水土保持研究,2020,27(3):203-209.
[5] 陈磊,孙佳新,姜海,等.南京市土地利用结构时空格局及驱动因素[J].水土保持研究,2020,27(1):197-206.
[6] 王玉明,王瑞康.城市化时期郊区土地利用结构信息熵上升的原因[J].地理学报,2018,73(9):1647-1657.
[7] Shannon C E. A mathematical Theory of Communication[M]. Urbana,USA: the University of Illinois Press,1948.
[8] Dhali M K,Chakraborty M,Sahana M. Assessing spatio-temporal growth of urban sub-centre using Shannon's entropy model and principle component analysis: A case from North 24 Parganas,lower Ganga River Basin,India[J]. the Egyptian Journal of Remote Sensing and Space Science,2019,22(1):25-35.
[9] Chen W,Chi G,Li J. The spatial association of ecosystem services with land use and land cover change at the county level in China,1995—2015[J]. Science of the Total Environment,2019,669:459-470.
[10] Rescia A J,Willaarts B A,Schmitz M F,et al. Changes in land uses and management in two Nature Reserves in Spain: Evaluating the social-ecological resilience of cultural landscapes[J]. Landscape and Urban Planning,2010,98(1):26-35.
[11] 耿红,唐旭,马玲.基于信息熵的城市土地利用结构合理性分析[J].国土资源科技管理,2006(1):84-87.
[12] 谭洁,朱红梅,金卫华.长沙市土地利用结构熵值时序分析[J].经济地理,2010,30(1):118-121.
[13] 谭永忠,吴次芳.区域土地利用结构的信息熵分异规律研究[J].自然资源学报,2003,18(1):112-117.
[14] 于雪丽,郭欢欢,李灿,等.基于信息熵的重庆市土地利用结构时空演变及其驱动因素分析[J].江苏农业科学,2019,47(17):261-265.
[15] 安明珠,高敏华.基于信息熵与空间洛伦茨曲线的土地利用结构变化:以阿克苏地区为例[J].水土保持研究,2015,22(6):307-311.
[16] 赵忠旭,张宇,王佳兴,等.基于信息熵的内蒙古土地利用结构时空分异研究[J].农村经济与科技,2018,29(11):198-201.
[17] 王勇.快速城市化地区土地利用结构信息熵的时空变化研究:以大连市为例[J].国土与自然资源研究,2015(1):14-17.
[18] 周子英,段建南,梁春凤.长沙市土地利用结构信息熵时空变化研究[J].经济地理,2012,32(4):124-129.
[19] 刘敬财,周宝同,赵昆昆,等.基于信息熵的土地利用结构变化影响因素分析:以重庆市丰都县为例[J].中国农学通报,2011,27(32):221-225.
[20] 蒋超,龚建周,陈晓越,等.广东省土地利用阶段特征及动态研究框架探讨[J].广东农业科学,2019,46(8):146-157.
[21] 苏俊文,于丹,陕永杰.惠山区土地利用结构信息熵时间变化规律及驱动因素分析[J].农村经济与科技,2018,29(3):176-178.
[22] 司慧娟,付梅臣,袁春,等.青海省土地利用结构信息熵时空分异规律及驱动因素分析[J].干旱区资源与环境,2016,30(6):38-42.
[23] 郭荣中,申海建,杨敏华.长株潭地区土地利用结构信息熵时空测度与演化[J].中国农业资源与区划,2019,40(9):92-100.
[24] 车臣,何如海,任旖妮,等.基于信息熵的池州市土地利用结构变化分析与灰色预测[J].云南农业大学学报:社会科学版,2017,11(3):72-76.
[25] 顾巍,管笛,汪珊珊,等.基于信息熵和GM模型的黄畈村土地结构变化分析与预测[J].科技经济市场,2015(1):168-171.
[26] 李文彦,罗海波.基于信息熵的贵州三穗县域土地利用结构分析及其GM预测[J].贵州农业科学,2014,42(12):221-224,229.
[27] 谭远模,谢思梅,谢荣安.土地利用时空变化与城市化发展分析[J].测绘通报,2020(4):139-142,146.
[28] Ning J,Liu J,Kuang W,et al. Spatiotemporal patterns and characteristics of land-use change in China during 2010—2015[J]. Journal of Geographical Sciences,2018,28(5):547-562.
[29] Liu J,Kuang W,Zhang Z,et al. Spatiotemporal characteristics,patterns,and causes of land-use changes in China since the late 1980s[J]. Journal of Geographical Sciences,2014,24(2):195-210.
[30] Chen W,Zhao H,Li J,et al. Land use transitions and the associated impacts on ecosystem services in the Middle Reaches of the Yangtze River Economic Belt in China based on the geo-informatic Tupu method[J]. Science of the Total Environment,2020,701(20).DOI:10.1016/j.scitotenv.2019.134690.
[31] 陈彦光,刘明华.城市土地利用结构的熵值定律[J].人文地理,2001,16(4):20-24.
[32] 陈万旭,李江风,冉端.长江中游城市群土地利用转型和城镇化之间的空间关系[J].长江流域资源与环境,2019,28(5): 1036-1048.
[33] 刘纪远.西藏土地利用[M].北京:科学出版社,1992.
[34] Li S,Wu J,Gong J,et al. Human footprint in Tibet:Assessing the spatial layout and effectiveness of nature reserves[J]. Science of the Total Environment,2018,621:18-29.
[35] 陈彦光,刘继生.城市土地利用结构和形态的定量描述:从信息熵到分数维[J].地理研究,2001,20(2):146-152.
Similar References:

Memo

-

Last Update: 2021-10-10

Online:12340       Total Traffic Statistics:27406374

Website Copyright: Research of Soil and Water Conservation Shaanxi ICP No.11014090-10
Tel: 029-87012705 Address: Editorial Department of Research of Soil and Water Conservation, No. 26, Xinong Road, Yangling, Shaanxi Postcode: 712100