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地球信息科学学报  2016, Vol. 18 Issue (4): 493-505    DOI: 10.3724/SP.J.1047.2016.00493
  地理空间分析综合应用 本期目录 | 过刊浏览 | 高级检索 |
城市快速扩张驱动下的耕地演化模拟与预测——以广东省东莞市为例
林浩嘉(),赵耀龙()
华南师范大学地理科学学院,广东省智慧国土工程技术研究中心,广州 510631
Simulation and Forecast of Cultivated Land Evolution under Rapid Urban Expansion: A Case Study of Dongguan City in Guangdong Province
LIN Haojia(),ZHAO Yaolong()
School of Geography, South China Normal University, Guangdong Provincial Center for Smart Land Research, Guangzhou 510631, China
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摘要 

在快速城市化进程中,有效地保护耕地数量和质量是一个重要的科学命题。本文以广东省东莞市为例,通过构建Logistic-CA城市扩张模型,试图探明城市快速扩张主导下的耕地演化特征和机制,对耕地演化进行模拟与预测,为城市的可持续发展规划和耕地保护提供科学的参考依据。首先,分析了1998-2013年东莞市各用地类型间的转换关系,对城市扩张与耕地演化的机制进行了探究;其次,综合考虑地理、经济与政策因子,通过对地理因子模拟和地理与经济结合模拟2种结果的比较分析,选取最优因子组合定义了CA转换规则,构建Logistic-CA模型;最后,基于该模型,依据2006-2020年东莞市土地利用总体规划图,对耕地演化进行预测,并进行数量、质量和空间形态上的分析。模拟结果表明,在耕地演化机制上,东莞市在2003-2008年和2008-2013年2个时段中新增城市用地分别有71.96%和80.86%直接或间接来源于耕地,且相应时段内的耕地补给量远小于耕地流失量;在空间形态上,呈现大块耕地边缘破碎化,细碎耕地逐步消亡的空间演化模式。模型的预测结果表明,至2020年耕地将会减少8205.4 hm2,且优等耕地和高等耕地的减少比重分别达到5.16%和5.27%。

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林浩嘉
赵耀龙
关键词 Logistic回归城市扩张元胞自动机耕地演化模拟与预测    
Abstract

In the process of rapid urbanization, how to effectively protect the quantity and quality of cultivated land is an important scientific proposition. Through constructing Logistic Cellular Automata model (Logistic-CA) for urban expansion and carrying out the simulation and forecast of cultivated land evolution, this paper intend to explore the characteristics and mechanisms of cultivated land evolution under the rapid urban expansion in a case study of Dongguan city in Guangdong province, so as to provide a scientific reference to the sustainable development planning of the city and the protection of cultivated land resources. Firstly, the mechanism of urban expansion and cultivated land evolution is explored through analyzing the conversion relationship between different land use types of Dongguan city in 1998-2013. Based on the result, the optimal factor combination is chosen to define the conversion rule of CA by comparing the simulation results of cultivated land evolution using geographical, economic and policy factors respectively, and the Logistic-CA model is constructed. Finally, in accordance with the general planning of land use in Dongguan city from 2006 to 2020, the evolution of the cultivated land is predicted using Logistic-CA model built based on the optimal factor combination, and the analysis of quantity, quality and spatial patterns is carried out. Simulation results show that 71.96% and 80.86% of the new urban land in Dongguan city directly or indirectly come from the cultivated land in the 2003-2008 and 2008-2013 two periods, and the quantity of the cultivated land supplementation is far less than its loss in the corresponding period. The spatial evolution pattern of the cultivated land has the characteristics that large tracts are turning into fragmentary lands toward the margin, and the fragmentary land parcels gradually disappear. The forecast results show that 8205.41 hectares of the cultivated land will disappear by 2020. At the same time, 5.16% of the top level and 5.27% of the high level cultivated land will disappear.

Key wordslogistic regression    urban expansion    cellular automata    evolution of cultivated land    simulation and forecast
收稿日期: 2015-07-27      出版日期: 2016-04-19
基金资助:“973”项目计划前期研究专项(2014CB460614);广州市产学研协同创新重大专项民生科技项目(156100021);广东省科技计划项目(2015A010103013);教育部留学回国人员科研启动基金项目(2012-940);华南师范大学学生科技创新“金种子”平台支持项目
通讯作者: 赵耀龙     E-mail: 603798255@qq.com;zhaoyaolong@m.scnu.edu.cn
引用本文:   
林浩嘉, 赵耀龙. 城市快速扩张驱动下的耕地演化模拟与预测——以广东省东莞市为例[J]. 地球信息科学学报, 2016, 18(4): 493-505.
LIN Haojia, ZHAO Yaolong. Simulation and Forecast of Cultivated Land Evolution under Rapid Urban Expansion: A Case Study of Dongguan City in Guangdong Province. Journal of Geo-information Science, 2016, 18(4): 493-505.
链接本文:  
http://www.dqxxkx.cn/CN/10.3724/SP.J.1047.2016.00493      或      http://www.dqxxkx.cn/CN/Y2016/V18/I4/493
Fig. 1  研究区域
Tab. 1  基础数据
Fig. 2  东莞市4时相土地利用类型图
Tab. 2  元胞自动机因子图层
Tab. 3  约束条件设置
Fig. 3  模型因子选取与土地利用类型演化模拟技术路线图
Tab. 4  地理因子模拟中各因子系数
Tab. 5  地理因子模拟精度(%)
Tab. 6  地理与经济结合模拟中各因子系数
Tab. 7  地理与经济因子结合模拟精度(%)
Tab. 8  1998-2003年东莞市土地利用类型转换矩阵(hm2
Tab. 9  2003-2008年东莞市土地利用类型转换矩阵(hm2
Tab. 10  2008-2013年东莞市土地利用类型转换矩阵/(hm2
Fig. 4  耕地转化图
Fig. 5  新增城市用地来源图
Fig. 6  影响因子
Tab. 11  影响因子
Tab. 12  地理与经济结合扩张模拟中各因子参数
Tab. 13  2013-2020年耕地面积变化计算结果
Tab. 14  2013-2020年耕地面积减少量在各耕地质量等级比重
Tab. 15  2013-2020年东莞市耕地景观变化指数
Fig. 7  2013-2020年耕地不变及减少区域
[1] 陈红顺, 夏斌. 快速城市化地区土地利用变化研究——以广东省东莞市为例[J].水土保持研究,2012,19(1):239-242.http://d.wanfangdata.com.cn/Periodical/stbcyj201201051
[1] [ Chen H S, Xia B.Analysis of land use change in rapidly urbanized area: a case study of Dongguan City, Guangdong Province[J]. Research of Soil and Water Conservation, 2012,19(1):239-242. ]
[2] Li X, Gar A.Application of remote sensing for monitoring and analysis of urban expansion a case study of Dongguan[J]. Geographical Research, 1997,16(4):56-62.http://en.cnki.com.cn/Article_en/CJFDTOTAL-DLYJ704.007.htm
doi: 10.11821/yj1997040008
[3] Li X B, Wang X.Changes in agricultural land use in China:1981-2000[J]. Asian Geographer, 2003,22(1):27-42.http://www.tandfonline.com/doi/abs/10.1080/10225706.2003.9684097
doi: 10.1080/10225706.2003.9684097
[4] 叶嘉安,黎夏.珠江三角洲经济发展、城市扩张与农田流失研究——以东莞市为例[J]. 经济地理,1999,19(1):67-72.http://www.cnki.com.cn/Article/CJFDTotal-JJDL901.013.htm
[4] [ Gar A, Li X.Economic development, urban sprawl, and agricultural land loss in the Pearl River Delta , China[J]. Economic Geography, 1999,19(1):67-72. ]
[5] 陆大道,姚士谋.中国城镇化进程的科学思辨[J].人文地理,2007(4):1-5.http://www.cnki.com.cn/Article/CJFDTotal-RWDL200704000.htm
[5] [ Lu D D, Yao S M.A scientific thought about urbanization progress in China[J]. Human Geography, 2007,4:1-5. ]
[6] 李效顺,曲福田,谭荣,等.中国耕地资源变化与保护研究——基于土地督察视角的考察[J].自然资源学报,2009, 24(3):387-401.
doi: 10.11849/zrzyxb.2009.03.003
[6] [ Li X S, Qu F T, Tan R, et al.Research on the variations and protection of the cropland in China: based on the perspective of land supervision[J]. Journal of Natural Resources, 2009,24(3):387-401. ]
[7] Seto K C, Woodcock C E, Song C, et al.Monitoring land-use change in the Pearl River Delta using Landsat TM[J]. International Journal of Remote Sensing, 2002,23(10):1985-2004.http://www.tandfonline.com/doi/pdf/10.1080/01431160110075532
doi: 10.1080/01431160110075532
[8] Seto K C, Kaufmann R K, Wood-cock C E. Landsat reveals China's farm-land reserves, but they're vanishing fast. Nature, 2000,406:121-122.http://www.europepmc.org/abstract/MED/10910328
doi: 10.1038/35018267 pmid: 10910328
[9] 李忠佩,李德成,张桃林.土地退化对全球粮食安全的威胁及防治对策[J].水土保持通报,2001,21(4):65-69.http://d.wanfangdata.com.cn/Periodical/stbctb200104018
doi: 10.3969/j.issn.1000-288X.2001.04.018
[9] [ Li Z P, Li D C, Zhan Y L.Threat and strategies of soil degradation to food security[J]. Bulletin of Soil and Water Conservation, 2001,21(4):65-69. ]
[10] 刘士奇.耕地安全是粮食安全的重要保障和基础[J]. 福建农业,2005(2):32-32.http://www.cnki.com.cn/Article/CJFDTotal-FJNY200503040.htm
[10] [ Liu S Q.Land security is an important guarantee and foundation of food security[J]. FuJian Agriculture, 2005,2:32-32. ]
[11] 王静,黄晓宇,郑振源,等.提高耕地质量对保障粮食安全更为重要[J].中国土地科学,2011,25(5):35-38.http://d.wanfangdata.com.cn/Periodical/zhonggtdkx201105007
doi: 10.3969/j.issn.1001-8158.2011.05.007
[11] [ Wang J, Huang X Y, Zheng Z Y, et al.Improving the quality of cultivated land is more important for food security[J]. China Land Science, 2011,25(5):35-38. ]
[12] 张世文. 福建省耕地动态变化及区域差异研究[D].福建:福建农林大学,2007.
[12] [ Zhan S W.Study of cultivated land dynamic change and regional difference in Fujian Province[D]. Fujian: Fujian Agriculture and Forestry University, 2007. ]
[13] 曾祥坤,李贵才,王仰麟,等.基于logistic曲线的快速城市化地区耕地变化人文驱动力建模——以深圳市为例[J].资源科学,2009,31(4):604-611.
[13] [ Zeng X K, Li G C, Wang Y L, et al.Hypothesis and validation on the kuznets curves of cultivated land change and its human driving forces in rapidly urbanized area:a case study of Shenzhen City[J]. Resources Science, 2009,31(4):604-611. ]
[14] 封志明,刘宝勤,杨艳昭.中国耕地资源数量变化的趋势分析与数据重建:1949-2003[J].自然资源学报,2005,20(1):35-43.
doi: 10.11849/zrzyxb.2005.01.006
[14] [ Feng Z M, Liu B Q, Yang Y Z.A study of the changing trend of Chinese cultivated land amount and data reconstructing: 1949-2003[J]. Journal Natural Resources, 2005,20(1):35-43. ]
[15] 韩永伟,高吉喜,乔青.中东部地区土地利用与土地退化特征分析[J].环境科学研究,2005, 18(6):94-98.http://d.wanfangdata.com.cn/Periodical/hjkxyj200506022
doi: 10.3321/j.issn:1001-6929.2005.06.022
[15] [ Han Y W, Gao J X, Qiao Q.Analysis of the characteristic of land use and land degradation in Mid-Eastern China[J]. Research of Environmental Sciences, 2005,18(6):94-98. ]
[16] 贾绍凤,张豪禧,孟向京.我国耕地变化趋势与对策再探讨[J].地理科学进展,1997,16(1):24-30.http://www.cnki.com.cn/Article/CJFDTotal-DLKJ701.004.htm
doi: 10.11820/dlkxjz.1997.01.005
[16] [ Jia S F, Zhang H X, Meng X J.Forecast and countermeasures of the change of the cultivated area of China[J]. Progress in Geography, 1997,16(1):24-30. ]
[17] 李春华,李宁,史培军,等.基于信息熵的江苏省耕地安全系统演化分析[J].资源科学,2008,30(1):43-51.http://d.wanfangdata.com.cn/Periodical/zykx200801007
doi: 10.3321/j.issn:1007-7588.2008.01.007
[17] [ Li C H, Li N, Shi P J, et al.Evolution of cultivated land security system in Jiangsu Province based on information entropy[J]. Resource Science, 2008,30(1):43-51. ]
[18] 刘旭华,王劲峰,刘明亮,等.中国耕地变化驱动力分区研究[J].中国科学,2005,35(11):1087-1095.http://d.wanfangdata.com.cn/Periodical_zgkx-cd200511009.aspx
doi: 10.3321/j.issn:1006-9267.2005.11.009
[18] [ Liu X H, Wang J F, Liu M L, et al.Study on the driving forces of cultivated land change in China[J]. Science in China, 2005,35(11):1087-1095. ]
[19] 史娟,张凤荣,赵婷婷.1998年-2006年中国耕地资源的时空变化特征[J].资源科学,2008,30(8):1191-1198.
[19] [ Shi J, Zhang F R, Zhao T T.Spatiotemporal changes in cultivated land area in China from 1998 to 2006[J]. Resource Science, 2008,30(8):1191-1198. ]
[20] 周成虎,孙战利.地理元胞自动机研究[M].北京:科学出版社,1999.
[20] [ Zhou C H, Sun Z L.Study of geographical cellular automata[M]. Beijing: Science Press, 1999. ]
[21] Batty M, Xie Y.From cells to cities[J]. Environment & Planning B Planning & Design, 1994,21(7):31-48.http://www.researchgate.net/publication/23540902_From_cells_to_cities
doi: 10.1068/b21s031
[22] White R, Engelen G.Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns[J]. Environment & Planning A, 1993,25(8):1175-1199./s?wd=paperuri%3A%28d4cbe29dd730f3c8a3fc9bb87ea1eff3%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Fwww.bioone.org%2Fservlet%2Flinkout%3Fsuffix%3Dbibr33%26dbid%3D16%26doi%3D10.5814%252Fj.issn.1674-764x.2012.04.008%26key%3D10.1068%252Fa251175&ie=utf-8
[23] Clarke K C, Hoppen S, Gaydos L.A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area[J]. Environment & Planning B Planning & Design, 1997,24(2):247-261.http://www.researchgate.net/publication/23541019_A_self-modifying_cellular_automaton_model_of_historical_urbanization_in_the_San_Francisco_Bay_area
doi: 10.1068/b240247
[24] 黎夏,叶嘉安.利用遥感监视和分析珠江三角洲的城市扩张过程——以东莞市为例[J].地理研究,1997,16(4):56-62.
[24] [ Li X, Gar A.Application of remote sensing for monitoring and analysis of urban expansion: a case study of Dongguan[J]. Geographical Research, 1997,16(4):56-62. ]
[25] 吴大放,刘艳艳,王朝晖.基于Logistic-CA的珠海市耕地变化机理分析[J].经济地理,2014,34(1):140-147.http://d.wanfangdata.com.cn/Periodical/jjdl201401022
[25] [ Wu D F, Liu Y Y, Wang C H.Mechanism of cultivated land change in Zhuhai City based on a Logistic-CA model[J]. Economic Geography, 2014,34(1):140-147. ]
[26] 吴大千,王仁卿,高甡,等.黄河三角洲农业用地动态变化模拟与情景分析[J].农业工程学报,2010, 26(4):285-290.http://d.wanfangdata.com.cn/Periodical/nygcxb201004049
doi: 10.3969/j.issn.1002-6819.2010.04.049
[26] [ Wu D Q, Wang R Q, Gao S et al. Simulation and scenario analysis of arable land dynamics in Yellow River Delta[J]. Transactions of the CSAE, 2010,26(4):285-290. ]
[27] 黎夏,李丹,刘小平,等.地理模拟优化系统GeoSOS及前沿研究[J].地球科学进展,2009, 24(8):899-907.http://d.wanfangdata.com.cn/Periodical/dqkxjz200908007
[27] [ Li X, Li D, Liu X P, et al.Geographical simulation and optimization system(GeoSOS) and its cutting edge researches[J]. Advance in Earth Science, 2009,24(8):899-907. ]
[28] 黎夏,李丹,刘小平,等.地理模拟优化系统GeoSOS软件构建与应用[J].中山大学学报:自然科学版,2010,49(4):1-5.http://d.wanfangdata.com.cn/Periodical/zsdxxb201004001
[28] [ Li X, Li D, Liu X P, et al.The implementation and application of geographical simulation and optimization systems(GeoSOS)[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2010,49(4):1-5. ]
[29] 黎夏,刘小平,何晋强,等.基于耦合的地理模拟优化系统[J].地理学报,2009,64(8):1009-1018.http://d.wanfangdata.com.cn/Periodical/dlxb200908011
doi: 10.3321/j.issn:0375-5444.2009.08.011
[29] [ Li X, Liu X P, He J Q, et al.A geographical simulation and optimization system based on coupling strategies[J]. Acta Geographica Sinica, 2009,64(8):1009-1018. ]
[30] 周虹,陈青.东莞城镇化模式特征、存在问题及对策[J].农业经济,2014(11):55-56.http://d.wanfangdata.com.cn/Periodical/nyjj201411022
doi: 10.3969/j.issn.1001-6139.2014.11.022
[30] [ Zhou H, Chen Q.Characteristics, existing problems and countermeasures of urbanization in Dongguan[J]. Agricultural Economy, 2014(11):55-56. ]
[31] 冯徽徽,夏斌,吴晓青,等.基于SLEUTH模型的东莞市区城市增长模拟研究[J].地理与地理信息科学,2008, 24(6):76-79.http://d.wanfangdata.com.cn/Periodical_dlxygtyj200806019.aspx
[31] [ Feng H H, Xia B, Wu X Q, et al.Study on urban growth simulation of Dongguan city based on SLEUTH model[J]. Geography and Geo-Information Science, 2008,24(6):76-79. ]
[32] 杨青生,黎夏.基于遗传算法自动获取CA模型的参数——以东莞市城市发展模拟为例[J].地理研究,2007,26(2):229-237.http://d.wanfangdata.com.cn/Periodical_dlyj200702003.aspx
doi: 10.3321/j.issn:1000-0585.2007.02.003
[32] [ Yang Q S, Li X.Calibrating urban cellular automata using genetic algorithms[J]. Geographical Research, 2007,26(2):229-237. ]
[33] 东莞市统计局.东莞市统计年鉴2014[M].北京:中国统计出版社,2014.
[33] [ Dongguan Bureau of Statistics. 2014 Dongguan Statistical Yearbook[M]. Beijing: China Statistics Press, 2014. ]
[34] Janssen L L F, Van D W F J M. Accuracy assessment of satellite derived land cover data: a review[J]. Photogrammetric Engineering & Remote Sensing, 1994,60(4):419-426.http://www.researchgate.net/publication/40208382_Accuracy_assessment_of_satellite_derived_land_cover_data_a_review
doi: 10.1016/0924-2716(94)90066-3
[35] Rafiee R, Mahiny A S, Khorasani N, et al.Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM)[J]. Cities, 2009,26(1):19-26.http://www.sciencedirect.com/science/article/pii/S0264275108001194
doi: 10.1016/j.cities.2008.11.005
[36] Silva E A, Clarke K C.Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal[J]. Computers Environment & Urban Systems, 2002,26(6):525-552.http://www.sciencedirect.com/science/article/pii/S019897150100014X
doi: 10.1016/S0198-9715(01)00014-X
[37] 熊利亚,常斌,周相广.基于地理元胞自动机的土地利用变化研究[J].资源科学,2005,27(4):38-43.http://d.wanfangdata.com.cn/Periodical/zykx200504008
doi: 10.3321/j.issn:1007-7588.2005.04.008
[37] [ Xiong L Y, Chang B, Zhou X G.A GeoCA-based study on land use change[J]. Resource Science, 2005,27(4):38-43. ]
[38] 赵耀龙,张珂,彭永俊,等.基于地理模拟方法的昆明市空间拓展情景分析[J].地理研究,2014,33(1):119-131.http://d.wanfangdata.com.cn/Periodical/dlyj201401011
doi: 10.11821/dlyj201401011
[38] [Zhao Y L, Zhang K, Peng Y J, et al. Scenario analysis of urban growth in Kunming based on geosimulation system[J]. Geographical Research, 2014,33(1):119-131. ]
[39] Wu F.Calibration of stochastic cellular automata: The application to rural-urban land conversions[J]. International Journal of Geographical Information Science, 2002,16(8):795-818.http://www.tandfonline.com/doi/abs/10.1080/13658810210157769
[40] 黄焕春,运迎霞.基于改进logistic-CA的城市形态多情景模拟预测分析——以天津滨海地区为例[J].地球信息科学学报,2013, 15(3):380-388.http://d.wanfangdata.com.cn/Periodical/dqxxkx201303008
doi: 10.3724/SP.J.1047.2013.00380
[40] [ Huang H C, Yun Y X.A method of simulation and prediction of urban morphology under multiscenarios[J]. Journal of Geo-Information Science, 2013,15(3):380-388. ]
[41] 梁辰,王诺.基于Logistic回归的沿海经济区建设用地演变驱动因素研究——以大连市新市区为例[J].地理科学,2014,34(5):556-562.http://www.cnki.com.cn/Article/CJFDTotal-DLKX201405006.htm
[41] [ Liang C, Wang N.Driving factor analysis of construction land changes in coastal economic zone based on logistic regression: a case study of Dalian New Urban[J]. Scientia Geographica Sinica, 2014, 34(5):556-562. ]
[42] 谢花林,李波.基于logistic回归模型的农牧交错区土地利用变化驱动力分析——以内蒙古翁牛特旗为例[J].地理研究,2008,27(2):294-304.http://d.wanfangdata.com.cn/Periodical_dlyj200802007.aspx
doi: 10.3321/j.issn:1000-0585.2008.02.007
[42] [ Xie H L, Li B.Driving forces analysis of land-use pattern changes based on logistic regression model in the farming-pastoral zone :a case study of Ongiud Banner, Inner Mongolia[J]. Geographical Research, 2008,27(2):294-304. ]
[43] 孙战利. 空间复杂性与地理元胞自动机模拟研究[J].地球信息科学,1999,1(2):32-37.http://d.wanfangdata.com.cn/Periodical_dqxxkx199902006.aspx
doi: 10.3969/j.issn.1560-8999.1999.02.006
[43] [ Sun Z L.Spatial complexity analysis and a geographical model based on cellar automata(GEOCA)[J]. Geo-Information Science, 1999,1(2):32-37. ]
[44] 黎夏. GIS与空间分析[M].北京:科学出版社,2006.
[44] [ Li X.GIS and Spatial Analysis[M]. Beijing: Science Press, 2006. ]
[45] Jr Pontius R G, Huffaker D, Denman K. Useful techniques of validation for spatially explicit land-change models[J]. Ecological Modelling, 2004,179(4):445-461.http://www.sciencedirect.com/science/article/pii/S0304380004002716
doi: 10.1016/j.ecolmodel.2004.05.010
[46] 程锋,王洪波,郧文聚.中国耕地质量等级调查与评定[J].中国土地科学,2014,28(2):75-82.http://d.wanfangdata.com.cn/Periodical/zhonggtdkx201402010
doi: 10.3969/j.issn.1001-8158.2014.02.010
[46] [ Cheng F, Wang H B, Yun W J.Study on investigation and assessment of cultivated land quality grade in China[J]. China Land Sciences, 2014,28(2):75-82. ]
[47] 王桥,杨一鹏,黄家柱,等.环境遥感[M].北京:科学出版社,2005.
[47] [ Wang Q, Yang Y P, Huang J Z, et al.Environmental Remote Sensing[M]. Beijing: Science Press, 2005. ]
[48] 唐礼俊. 佘山风景区景观空间格局分析及其规划初探[J].地理学报,1998,53(5):429-437.http://www.cnki.com.cn/Article/CJFDTotal-DLXB805.005.htm
doi: 10.1088/0256-307X/16/9/027
[48] [ Tang L J.The spatial pattern analysis of landscape and the landscape planning in Sheshan scenic spot[J]. Acta Geographica Sinica, 1998,53(5):429-437. ]
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