地理模拟优化系统(GeoSOS)及其在地理国情分析中的应用

doi:10.11947/j.AGCS.2017.20170355

测绘学报 ›› 2017, Vol. 46 ›› Issue (10): 1598-1608.doi: 10.11947/j.AGCS.2017.20170355

地理模拟优化系统(GeoSOS)及其在地理国情分析中的应用

黎夏^1,3, 李丹², 刘小平³

1. 华东师范大学地理科学学院地理信息科学教育部重点实验室, 上海 200241;
2. 南阳师范学院环境科学与旅游学院, 河南南阳 473061;
3. 中山大学地理科学与规划学院广东省城市化与地理环境空间模拟重点实验室, 广东广州 510275

收稿日期:2017-06-26 修回日期:2017-09-11 出版日期:2017-10-20 发布日期:2017-10-26
作者简介:黎夏(1962-),男,教授,研究方向为地理信息科学、元胞自动机与多智能体、遥感应用。E-mail:lixia@mail.sysu.edu.cn
基金资助:
国家自然科学基金（41531176；41301443）；国家重点研发计划重点专项项目（2017YFA0604402）

Geographical Simulation and Optimization System (GeoSOS) and Its Application in the Analysis of Geographic National Conditions

LI Xia^1,3, LI Dan², LIU Xiaoping³

1. School of Geographic Sciences, Key Laboratory of Geographic Information Science(Ministry of Education), East China Normal University, Shanghai 200241, China;
2. College of Environmental Science and Tourism, Nanyang Normal University, Nanyang 473061, China;
3. Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China

Received:2017-06-26 Revised:2017-09-11 Online:2017-10-20 Published:2017-10-26
Supported by:
The National Natural Science Foundation of China (Nos. 41531176;41301443);National Key R&D Program of China (No. 2017YFA0604402)

摘要/Abstract

摘要： 第一次全国地理国情普查工作已基本完成，需要对所获取的地理国情监测数据进行空间统计分析，以得到地理国情的时空分布模式、演变规律及发展趋势，形成地理国情信息和知识。地理国情监测生成的基础数据源，可用于土地资源集约利用、城乡及城市群协调发展、生态环境保护等问题的空间智能决策分析，但目前有效的模拟分析工具还比较缺乏。笔者提出的地理模拟优化系统（GeoSOS）理论框架，耦合了地理过程模拟预测和空间优化，为上述研究提供了有利的理论支持和实用工具。为进一步方便与GIS进行无缝的链接，本文提出了基于ArcGIS插件的GeoSOS以方便进行高效的地理模拟分析。并以快速城市化地区的城市扩张与生态保护研究为例，通过在地理国情信息分析中的应用，得到了一些重要的发现。模拟结果显示，按照现在的发展趋势，广东省优化开发区域在2020年其土地开发强度将超出规定的约束指标，并发现各区域均存在大量城乡建设用地占用生态保护压力等级高和较高地块的现象，而基于土地开发强度和生态保护双重约束的城镇化扩张能够在满足约束指标的同时获得更紧凑的景观格局。表明GeoSOS及其ArcGIS插件可以成为地理国情信息分析的有利工具，并给出了今后需解决的问题和发展方向。

关键词: 地理模拟优化系统, ArcGIS插件, 地理国情, 城市扩张, 生态保护

Abstract: Since the Chinese first survey on geographic national conditions has completed, an urgent need is to analyze these geographical data, such as mining of spatial distribution patterns, land use transition rules, development trends. The analysis is crucial for extracting the knowledge from these big data about geographic national conditions. The remote sensing interpretation data and land use/cover data generated by these geographic national conditions monitoring projects are the basic data sources for a variety of research and applications in terms of land use change detection, urban dynamic analysis, and urban/land use planning. The information can be used for assisting in the coordination of land resource use and decision making for urban and rural development, ecological environment protection and other issues that depends on spatial intelligent decisions. We proposed the theoretical framework of geographical simulation and optimization system (GeoSOS), which coupled geographic process simulation/prediction and spatial optimization, provides powerful theoretical support and practical tools for above researches. This paper develops the extension of GeoSOS software-GeoSOS for ArcGIS, which is an ArcGIS Add-In runs on ArcGIS platform for facilitating the above analyses. We take the urban expansion and ecological protection research in rapid urbanization area as an example, use the software to tackle a series of urbanization issues in the study area. The simulation results show that the predicted land development intensity of Guangdong Province will exceed the constraint index in 2020 according to the national development plan. However, the urbanization expansion based on the constraints of land development intensity and ecological protection can satisfy these constraints, and obtain a more compact landscape pattern. The analysis has shown that GeoSOS can be a useful tool for assisting in the analysis of geographic national conditions information. The paper also provides some useful guidelines for these analysis and the future research directions.

Key words: geographical simulation and optimization system (GeoSOS), ArcGIS add-in, geographic national conditions, urban expansion, ecological protection

中图分类号:

P227

黎夏, 李丹, 刘小平. 地理模拟优化系统(GeoSOS)及其在地理国情分析中的应用[J]. 测绘学报, 2017, 46(10): 1598-1608.

LI Xia, LI Dan, LIU Xiaoping. Geographical Simulation and Optimization System (GeoSOS) and Its Application in the Analysis of Geographic National Conditions[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1598-1608.

参考文献

[1] 李德仁, 眭海刚, 单杰. 论地理国情监测的技术支撑[J]. 武汉大学学报(信息科学版), 2012, 37(5):505-512. LI Deren, SUI Haigang, SHAN Jie. Discussion on Key Technologies of Geographic National Conditions Monitoring[J]. Geomatics and Information Science of Wuhan University, 2012, 37(5):505-512.
[2] 徐德明. 监测地理国情服务科学发展[N]. 人民日报, 2011-03-29. XU Deming. Monitoring Geographical National Conditions and Serving Scientific Development[J]. People's Daily, 2011-03-29.
[3] 陈俊勇. 地理国情监测的学习札记[J]. 测绘学报, 2012, 41(5):633-635. CHEN Junyong. Study Notes on Geographic National Condition Monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(5):633-635.
[4] 李德仁, 丁霖, 邵振峰. 关于地理国情监测若干问题的思考[J]. 武汉大学学报(信息科学版), 2016, 41(2):143-147. LI Deren, DING Lin, SHAO Zhenfeng. Reflections on Issues in National Geographical Conditions Monitoring[J]. Geomatics and Information Science of Wuhan University, 2016, 41(2):143-147.
[5] LI Xia, CHEN Yimin, LIU Xiaoping, et al. Concepts, Methodologies, and Tools of an Integrated Geographical Simulation and Optimization System[J]. International Journal of Geographical Information Science, 2011, 25(4):633-655.
[6] LI Xia, CHEN Guangzhao, LIU Xiaoping, et al. A New Global Land-use and Land-cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human-Environment Interactions[J]. Annals of the American Association of Geographers, 2017, 107(5):1040-1059.
[7] CHEN Yimin, LI Xia, LIU Xiaoping, et al. Modeling Urban Land-use Dynamics in A Fast Developing City Using the Modified Logistic Cellular Automaton with a Patch-based Simulation Strategy[J]. International Journal of Geographical Information Science, 2014, 28(2):234-255.
[8] LI Xia, HE Jinqiang, LIU Xiaoping. Ant Intelligence for Solving Optimal Path-covering Problems with Multi-objectives[J]. International Journal of Geographical Information Science, 2009, 23(7):839-857.
[9] LI Xia, LAO Chunhua, LIU Xiaoping, et al. Coupling Urban Cellular Automata with Ant Colony Optimization for Zoning Protected Natural Areas Under a Changing Landscape[J]. International Journal of Geographical Information Science, 2011, 25(4):575-593.
[10] MA Shifa, LI Xia, CAI Yumei. Delimiting the Urban Growth Boundaries with a Modified Ant Colony Optimization Model[J]. Computers, Environment and Urban Systems, 2017, 62:146-155.
[11] LI Xia, SHI Xun, HE Jinqiang, et al. Coupling Simulation and Optimization to Solve Planning Problems in a Fast-developing Area[J]. Annals of the American Association of Geographers, 2011, 101(5):1032-1048.
[12] 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. LI Xia, LI Dan, LIU Xiaoping, et al. The Implementation and Application of Geographical Simulation and Optimization Systems (GeoSOS)[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2010, 49(4):1-5.
[13] 马世发, 马梅, 蔡玉梅, 等. 省级尺度国土空间生态保护红线划定——以湖南省为例[J]. 热带地理, 2015, 35(1):43-50. MA Shifa, MA Mei, CAI Yumei, et al. Delimitating Red Line of Ecological Protection for Territorial Spatial Planning:A Case Study of Hunan Province[J]. Tropical Geography, 2015, 35(1):43-50.
[14] LI Xia, LAO Chunhua, LIU Yilun, et al. Early Warning of Illegal Development for Protected Areas by Integrating Cellular Automata with Neural Networks[J]. Journal of Environmental Management, 2013, 130:106-116.
[15] 陈逸敏, 黎夏, 刘小平, 等. 基于耦合地理模拟优化系统GeoSOS的农田保护区预警[J]. 地理学报, 2010, 65(9):1137-1145. CHEN Yimin, LI Xia, LIU Xiaoping, et al. Coupling Geosimulation and Optimization (GeoSOS) for Zoning and Alerting of Agricultural Conservation Areas[J]. Acta Geographica Sinica, 2010, 65(9):1137-1145.
[16] LI Xia. Emergence of Bottom-up Models as a Tool for Landscape Simulation and Planning[J]. Landscape and Urban Planning, 2011, 100(4):393-395.
[17] 马荣华, 陈雯, 陈小卉, 等. 常熟市城镇用地扩展分析[J]. 地理学报, 2004, 59(3):418-426. MA Ronghua, CHEN Wen, CHEN Xiaohui, et al. Town and Construction Land Growth of Changshu City[J]. Acta Geographica Sinica, 2004, 59(3):418-426.
[18] 马晓冬, 朱传耿, 马荣华, 等. 苏州地区城镇扩展的空间格局及其演化分析[J]. 地理学报, 2008, 63(4):405-416. MA Xiaodong, ZHU Chuangeng, MA Ronghua, et al. Urban Spatial Growth Pattern and Its Evolution in Suzhou, Jiangsu Province, China[J]. Acta Geographica Sinica, 2008, 63(4):405-416.
[19] LI Xia, CHEN Yimin, LIU Xiaoping, et al. Experiences and Issues of Using Cellular Automata for Assisting Urban and Regional Planning in China[J]. International Journal of Geographical Information Science, 2017, 31(8):1606-1629.
[20] LI Xia, YEH A G O. Neural-network-based Cellular Automata for Simulating Multiple Land Use Changes Using GIS[J]. International Journal of Geographical Information Science, 2002, 16(4):323-343.
[21] LI Xia, YEH A G O. Data Mining of Cellular Automata's Transition Rules[J]. International Journal of Geographical Information Science, 2004, 18(8):723-744.
[22] 黎夏, 叶嘉安. 知识发现及地理元胞自动机[J]. 中国科学D辑地球科学, 2004, 34(9):865-872. LI Xia, YEH A G. Data Mining and Geographical Cellular Automata[J]. Scientia Sinica Terrae, 2004, 34(9):865-872.
[23] KNAAPEN J P, SCHEFFER M, HARMS B. Estimating Habitat Isolation in Landscape Planning[J]. Landscape and Urban Planning, 1992, 23(1):1-16.
[24] 李晶, 蒙吉军, 毛熙彦. 基于最小累积阻力模型的农牧交错带土地利用生态安全格局构建——以鄂尔多斯市准格尔旗为例[J]. 北京大学学报(自然科学版), 2013, 49(4):707-715. LI Jing, MENG Jijun, MAO Xiyan. MCR Based Model for Developing Land Use Ecological Security Pattern in Farming-pastoral Zone:A Case Study of Jungar Banner, Ordos[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2013, 49(4):707-715.
[25] YU Kongjian. Ecological Security Patterns in Landscapes and GIS Application[J]. Geographic Information Sciences, 1995, 1(2):88-102.
[26] 俞孔坚, 李伟, 李迪华, 等. 快速城市化地区遗产廊道适宜性分析方法探讨——以台州市为例[J]. 地理研究, 2005, 24(1):69-76. YU Kongjian, LI Wei, LI Dihua, et al. Suitability Analysis of Heritage Corridor in Rapidly Urbanizing Region:A Case Study of Taizhou City[J]. Geographical Research, 2005, 24(1):69-76.
[27] 张继平, 乔青, 刘春兰, 等. 基于最小累积阻力模型的北京市生态用地规划研究[J]. 生态学报, 2017(19). ZHANG Jiping, QIAO Qing, LIU Chunlan, et al. Ecological Land Use Planning for Beijing City Based on the Minimum Cumulative Resistance Model[J]. Acta Ecological Sinica, 2017(19).
[28] 钟式玉, 吴箐, 李宇, 等. 基于最小累积阻力模型的城镇土地空间重构——以广州市新塘镇为例[J]. 应用生态学报, 2012, 23(11):3173-3179. ZHONG Shiyu, WU Qing, LI Yu, et al. Reconstruction of Urban Land Space Based on Minimum Cumulative Resistance Model:A Case Study of Xintang Town, Guangzhou City[J]. Chinese Journal of Applied Ecology, 2012, 23(11):3173-3179.
[29] 马世发, 艾彬. 基于地理模型与优化的城市扩张与生态保护二元空间协调优化[J]. 生态学报, 2015, 35(17):5874-5883. MA Shifa, AI Bin. Coupling Geographical Simulation and Spatial Optimization for Harmonious Pattern Analysis By Considering Urban Sprawling and Ecological Conservation[J]. Acta Ecologica Sinica, 2015, 35(17):5874-5883.
[30] 樊杰. 中国主体功能区划方案[J]. 地理学报, 2015, 70(2):186-201. FAN Jie. Draft of Major Function Oriented Zoning of China[J]. Acta Geographica Sinica, 2015, 70(2):186-201.
[31] 李维森. 地理国情监测与测绘地理信息事业的转型升级[J]. 地理信息世界, 2013, 20(5):11-14. LI Weisen. Geographical National Conditions Monitoring and Transformation and Upgrading of Surveying, Mapping and Geoinformation Business[J]. Geomatics World, 2013, 20(5):11-14.
[32] 王家耀, 谢明霞. 地理国情与复杂系统[J]. 测绘学报, 2016, 45(1):1-8. DOI:10.11947/j.AGCS.2016.20150350. WANG Jiayao, XIE Mingxia. Geographical National Condition and Complex System[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(1):1-8. DOI:10.11947/j.AGCS.2016.20150350.
[33] 许景权, 沈迟, 胡天新, 等. 构建我国空间规划体系的总体思路和主要任务[J]. 规划师, 2017, 33(2):5-11. XU Jingquan, SHEN Chi, HU Tianxin, et al. General Concept and Main Tasks of Building Spatial Planning System in China[J]. Planners, 2017, 33(2):5-11.
[34] 樊杰. 我国空间治理体系现代化在"十九大"后的新态势[J]. 中国科学院院刊, 2017, 32(4):396-404. FAN Jie. Perspective of China's Spatial Governance System after 19th CPC National Congress[J]. Bulletin of Chinese Academy of Sciences, 2017, 32(4):396-404.
[35] 谢英挺, 王伟. 从"多规合一"到空间规划体系重构[J]. 城市规划学刊, 2015(3):15-21. XIE Yingting, WANG Wei. From "Multiple-plan Coordination" to the Reform of the Spatial Planning System[J]. Urban Planning Forum, 2015(3):15-21.
[36] 李丹, 黎夏, 刘小平, 等. GPU-CA模型及大尺度土地利用变化模拟[J]. 科学通报, 2012, 57(11):959-969. LI Dan, LI Xia, LIU Xiaoping, et al. GPU-CA Model for Large-Scale Land-Use Change Simulation[J]. Chinese Science Bulletin, 2012, 57(19):2442-2452.

地理模拟优化系统(GeoSOS)及其在地理国情分析中的应用

Geographical Simulation and Optimization System (GeoSOS) and Its Application in the Analysis of Geographic National Conditions

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics

本文评价

[1]	宁晓刚, 王浩, 林祥国, 曹银璇, 杜军. 京津冀城市群1990—2015年城区时空扩展监测与分析[J]. 测绘学报, 2018, 47(9): 1207-1215.
[2]	汪韬阳, 张过, 李沛然, 厉芳婷, 郭雪瑶. 基于DMSP/OLS夜光遥感影像的城市扩张政策驱动因素分析[J]. 测绘学报, 2018, 47(11): 1466-1473.
[3]	徐子蒙, 李广泳, 周旭, 程滔, 姜广辉, 白驹. 基于地理国情普查成果的生态系统服务价值核算方法[J]. 测绘学报, 2018, 47(10): 1396-1405.
[4]	史文中, 陈鹏飞, 张效康. 地理国情监测可靠性分析[J]. 测绘学报, 2017, 46(10): 1620-1626.
[5]	张永红, 吴宏安, 康永辉. 京津冀地区1992—2014年三阶段地面沉降InSAR监测[J]. 测绘学报, 2016, 45(9): 1050-1058.
[6]	王家耀, 谢明霞. 地理国情与复杂系统[J]. 测绘学报, 2016, 45(1): 1-8.
[7]	薛树强, 党亚民, 秘金钟, 刘纪平, 董春, 吴波, 王世进. 顾及非线性地形因子的地表面积计算[J]. 测绘学报, 2015, 44(3): 330-337.
[8]	陈俊勇. 地理国情监测的学习札记[J]. 测绘学报, 2012, 41(5): 633-635.
[9]	曾永年,张璎璎,郑文武,黄炜,张鸿辉. 城市扩展强度及其地表热特性遥感定量分析[J]. 测绘学报, 2010, 39(1): 0-82.