| 地理模拟优化系统(GeoSOS)及其在地理国情分析中的应用 |
| |
| 引用本文： | 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. |
| |
| 作者姓名： | 黎夏 李丹 刘小平 |
| |
| 作者单位： | 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 |
| |
| 基金项目： | 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） |
| |
| 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 |
| 收稿时间： | 2017-06-26 |
| 修稿时间： | 2017-09-11 |
Geographical Simulation and Optimization System (GeoSOS) and Its Application in the Analysis of Geographic National Conditions |
| |
| 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. |
| |
| Authors: | LI Xia LI Dan LIU Xiaoping |
| |
| Institution: | 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 |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《测绘学报》浏览原始摘要信息 |
| 点击此处可从《测绘学报》下载免费的PDF全文 |
|
