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1.
CEMPS is a prototype spatial decision support system which links the topographical support and analysis provided by a geographic information system, ARC/INFO, with the ability to simulate the dynamics of an evacuation process. CEMPS has been designed to enable emergency planners to experiment with different emergency evacuation plans in order to devise a plan which meets their requirements. ARC/INFO is used to parameterize a dynamic simulation with topographical information and to display its results. The prototype runs on a Sun SPARCStation cluster but could be modified to run on other hardware and software. 相似文献
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基于面向对象知识表达的空间推理决策及应用 总被引：7，自引：0，他引：7
提出了一种基于面向对象知识表达的空间推理决策方法 ,该方法扩展了常规的GIS空间分析功能 ,使其建立在GIS空间分析与领域知识基础上。认为GIS空间分析与领域知识利用的结合需要建立统一的知识表达概念模型 ,通过将常规决策知识设计为决策知识类 ,将决策事实作为事实知识类处理 ,并由知识类的消息机制进行内部通讯 ,实现空间推理决策的智能化。在进行领域知识分析与知识分类的基础上 ,给出了领域知识类的层次结构组织图和知识类定义以及决策知识及事实知识的面向对象表达 ,最后给出了空间知识类的形成及空间推理决策过程。方法的实用性在实践中得到验证 相似文献
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数据仓库及其在城市规划决策支持系统中的应用探讨 总被引：5，自引：0，他引：5
谢榕 《武汉大学学报(信息科学版)》2000,25(2)
在分析传统决策支持系统在城市规划决策应用中存在的问题的基础上 ,初步提出一种基于数据仓库的城市规划决策支持系统的基本框架 ,探讨了该系统建立中数据仓库的数据组织、数据挖掘、知识发现方法等关键技术问题 ,并进一步阐述城市规划决策支持系统的建立方法 ,最后以荆州市环境规划为例 ,说明数据仓库在城市规划决策支持系统中的具体应用。 相似文献
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基于规则知识的空间推理研究 总被引：5，自引：0，他引：5
在一般空间推理的基础上 ,提出了空间推理扩展 ,即基于规则知识的空间推理。该方法结合了人工智能的基本原理 ,继承并发展了空间推理的方法学 ,其推理过程建立在空间知识与模型集成的基础上 ,以规则知识为推理控制 ,因而更符合实际 ,具有更大的灵活性。实例验证了本方法的正确性。 相似文献
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PC ARC/INFO数据文件的内部结构剖析 总被引：1，自引：0，他引：1
本文首先分析了微机版地理信息系统软件PCARC／INFO3．4D的数据文件结构，然后着重介绍其主要数据文件的内部结构参数，这些参数可供ARC／INFO用户进行二次开发时参考。 相似文献
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Steffen Vogt 《地球空间信息科学学报》2001,4(2):40-46
1 ＩｎｔｒｏｄｕｃｔｉｏｎＫｉｎｇＧｅｏｒｇｅＩｓｌａｎｄ (ＳｏｕｔｈＳｈｅｔｌａｎｄＩｓｌａｎｄｓ,Ａｎｔａｒｃｔｉｃａ)ｉｓｏｎｅｏｆｔｈｅｍｏｓｔｄｅｎｓｅｌｙｐｏｐｕｌａｔｅｄａｒ ｅａｓｉｎＡｎｔａｒｃｔｉｃａ .Ｐｅｒｍａｎｅｎｔｓｔａｔｉｏｎｓｏｆｎｉｎｅｄｉｆｆｅｒ ｅｎｔｎａｔｉｏｎｓａｎｄａｎａｉｒｓｔｒｉｐｓｕｉｔａｂｌｅｆｏｒｈｕｇｅａｉｒ ｃｒａｆｔｓａｒｅｌｏｃａｔｅｄｏｎｉｔｓｉｃｅｆｒｅｅａｒｅａｓ.Ｔｈｅｓｅａｒｅａｓｃｏｍｐｒｉｓｅｌｅｓｓｔｈａｎ 5%ｏｆｔｈｅｉｓｌ… 相似文献
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Steffen Vogt 《地球空间信息科学学报》2013,16(2):40-46
The concept of the King George Island Expert GIS (KGI-XGIS) is introduced. KGI-XGIS is a combination of a rule-based expert system and a GIS meant to form an intelligent spatial decision support system. The system provides the spatial knowledge necessary for the environmental impact assessment process as dictated by the ‘Madrid Protocol’ for King George Island (South Shetland Islands, Antarctica). It also serves as information system to the scientific user community. Topographic maps, remote sensing data, thematic maps based on field surveys and other digital data form the input data to the GIS. Given the sparseness of the available data these must be combined and used in the most efficient way. Therefore expert knowledge of different domains will be coded into a rule-based expert system which is coupled to the GIS. To handle the expert knowledge and the spatial data of different types and different quality the KGI-XGIS incorporates knowledge-based techniques and fuzzy reasoning. The selection of a camp site on the ice free area of Fildes Peninsula and data quality management are used as two examples to demonstrate the capabilities of the system. 相似文献
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基于GIS的济南泉域土地利用变化空间格局的研究 总被引：3，自引：0，他引：3
孙希华 《测绘与空间地理信息》2004,27(3):26-30
应用不同时期的航天遥感图像,编制各期土地利用分类图,在ARC／INFO和ARCVIEW系统的支持下,建立空问信息库。根据景观生态学原理选取斑块大小、面积、多样性指数、均匀度指数、优势度指数等指标,对济南泉域景观空间格局的动态变化进行了分析。结果显示,济南泉域内耕地面积迅速减少,而城镇、农村居民点和工矿建设用地大量增加,景观空间格局发生了较大变化。 相似文献
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Iftikhar U. Sikder 《International Journal of Digital Earth》2016,9(12):1206-1223
This paper presents a granular computing approach to spatial classification and prediction of land cover classes using rough set variable precision methods. In particular, it presents an approach to characterizing large spatially clustered data sets to discover knowledge in multi-source supervised classification. The evidential structure of spatial classification is founded on the notions of equivalence relations of rough set theory. It allows expressing spatial concepts in terms of approximation space wherein a decision class can be approximated through the partition of boundary regions. The paper also identifies how approximate reasoning can be introduced by using variable precision rough sets in the context of land cover characterization. The rough set theory is applied to demonstrate an empirical application and the predictive performance is compared with popular baseline machine learning algorithms. A comparison shows that the predictive performance of the rough set rule induction is slightly higher than the decision tree and significantly outperforms the baseline models such as neural network, naïve Bayesian and support vector machine methods. 相似文献
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利用遥感和GIS研究塔里木河下游阿拉干地区土地沙漠化 总被引：66，自引：0，他引：66
新疆塔里木河流域受人类活动的影响,特别是由于水资源利用的不合理,不同区域出现了一系列生态环境问题,下游地区普遍存在的沙漠化现象表现得尤为突出。通过应用多时相（１９５９年、１９８３年、１９９２年）、多波段、多平台的遥感信息,在野外调研的基础上编制阿拉干地区不同年代沙漠化类型图,并在ＡＲＣ／ＩＮＦＯ软件支持下,对图件进行编辑处理,制作沙漠化动态图;通过ＧＩＳ数据库提供的资源环境定量数据,应用系统论、信息论及控制论的观点分析阿拉干地区沙漠化的演化过程,并借助于ＧＭ（１,１）模型,预测阿拉干地区土地沙漠化的发展趋势。 相似文献
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建立面向区域农业可持续发展的空间决策支持系统的方法探讨 总被引：15，自引：2，他引：15
在解决诸如工业选址的空间问题时，空间决策支持系统避免了流行的商用ＧＩＳ软件在空间信息的分析评价，时空分布，预测和模拟以及决策等模型分析功能的不足，该文提出了建立ＳＤＳＳ的两种基本途径；一是利用现有ＧＩＳ与分析决策模型进行集成联结生成ＳＤＳＳ；另一种途径是自行开发具有空间数据管理和分析决策模型的一体化ＳＤＳＳ。 相似文献
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Spatial optimization for land acquisition problems: A review of models,solution methods,and GIS support 总被引：1，自引：0，他引：1
This article reviews the interdisciplinary research field of spatial optimization for land acquisition problems. We start with a theoretical framework to identify three categories of spatial optimization models: problems with aspatial constraints, location models, and problems with topological constraints. Exact, heuristic, and metaheuristic approaches to solving these problems are critically discussed. Tools that are available in commercial and open‐source GIS packages are reviewed from four aspects. We first survey the off‐the‐shelf support and then the development environments in these packages. A case study of the one‐center problem is used to illustrate the computational performance of different solution methods. Finally the advantages and disadvantages of current GIS data models are discussed. The article concludes with challenges and future directions for solving spatial optimization problems for land acquisition. 相似文献
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This article presents a concept of a Web-based spatial multiple criteria evaluation tool for individual and group use called Choice Modeler (CM). CM was originally conceived as part of a larger Participatory Geographic Information System for Transportation project (PGIST; http://www.pgist.org ) aimed at developing and evaluating Internet-hosted capabilities to support participatory decision processes. CM is designed to be either a part of a larger information system such as PGIST or a standalone tool used for evaluation of decision variants. The decision support functions provided by CM aid in reducing the cognitive complexity of the decision space characterized by multiple decision options, evaluation criteria, and criterion weights. This is achieved by incorporating in CM the sensitivity analysis functions for the identification of criteria that do not influence the decision option ranking. Users can remove such criteria from further consideration and thus lessen the cognitive burden of evaluation, which may be essential in multi-stakeholder participatory decision processes. The additional capabilities of CM include a vote aggregation function to collate individual option rankings into a group ranking, and measures of agreement/disagreement to inform the participants about a group-derived desirability of specific decision options. The design of CM was implemented using Web-service architecture. In the article we describe the design of CM and discuss its advantages and limitations. 相似文献
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Conflicts between human development of the landscape and conservation of biodiversiry will continue to grow. Given this reality, there have been a number of attempts to model the optimal selection of conservation reserve sites such that maximum biodiversity protection can be attained within a limited budget for land acquisition. Here we adapt the Location-Allocation module of ARC/INFO to solve the problem of representing, or covering, as many species as possible in a fixed number of selected reserve sites. Resident ARC/INFO solution routines are applied to an innovative 'logical' network that converts the problem of optimal reserve selection into a problem of optimal facility placement, which the Location-Allocation module can recognize and solve. Use of this unique logical network structure as input to ARC/INFO's internal solvers makes possible, compared to previous methods, a much tighter integration of spatial optimization tools with mapping and database tools, all of which are internal to the GIS and accessed via a menu-driven interface. The main advantage is that users of public domain data (such as the US Gap Analysis data) can conduct their own explorations of possible reserve systems without having to acquire and master optimization packages and reformat model output data for GIS display and post-analysis of solutions. Our sample application uses species data from south-western California. We also present a second major form of species-covering model grounded in the same logical network. This enhanced modcl accommodates weighting of species by their conservation importance, thus allowing reserve systems to be designed around the protection of the most threatened or vulnerable biota. 相似文献
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The multi‐objective land allocation problem is to optimize the selection of land for different uses based on a set of decision objectives. For most applications, a geographical information system (GIS) is either absent or loosely coupled through file exchange. In this article the evolutionary algorithm (EA), a heuristic solution method for optimization problems, is integrated with a raster GIS to form a spatial decision support system (SDSS) for multi‐objective conservation reserve design. The SDSS effectively combines the functions of a GIS for data management, analysis, and visualization, with the optimization capability of the EA; and provides a uniform way to solve conservation reserve design problems with different types of constraints and objectives. The SDSS is demonstrated through application to the creation of conservation reserves in Bolivia to protect 17 endemic mammals. 相似文献
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Dewayany Sutrisno Suzan Novtalia Gill Suseno Suseno 《International Journal of Digital Earth》2018,11(9):863-879
A major problem associated with marine spatial planning (MSP) involves the difficult and time-consuming practice of creating a scenario that encompasses complex datasets in near real time via the use of a simple spatial analysis method. Moreover, decision-makers require a reliable, user-friendly system to quickly and accessibly acquire accurate spatial planning information. The development of national spatial data infrastructure (NSDI), which links the spatial data of a nation’s many diverse institutions, may pave the way for the development of a tool that can better utilize spatial datasets, such as a spatial decision support system (SDSS). Thus, this project aimed to develop an SDSS for MSP and to evaluate the feasibility of its integration within the NSDI framework. The seaweed culture was selected as an example due to its economic and technological acceptance by traditional fishers. Additionally, a multi-criteria analysis was used to develop the tool. Furthermore, a feasibility evaluation of its implementation within the NSDI framework was conducted based on the Delphi method. The results of the assessment indicated that the SDSS can be incorporated into the NSDI framework by addressing the policy issue – one map policy, updating custodians’ decree and data, and improve the standard and protocol. 相似文献
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基于GIS的贝叶斯统计推理技术在印度野牛生境概率评价中的应用 总被引：11，自引：0，他引：11
目前,ＧＩＳ技术已被广泛应用在野生动物生境研究中。但是,作为空间数据分析和处理工具,ＧＩＳ缺乏进行启发式推理的能力。因此,与擅长于此的贝叶斯统计推理技术相结合则是解决这一问题的重要途径。以西双版纳纳板河流域生物圈保护区为试验区,综合应用ＧＩＳ技术和多元统计技术建立印度野牛生境的两个逻辑斯蒂多元回归模型：趋势表面模型和环境模型,第一个模型的自变量是位置坐标,第二个模型的自变量是一组环境因子,然后应用贝叶斯统计合并这两个模型产生贝叶斯综合模型。结果表明,贝叶斯综合模型优于环境模型,可应用于野生动物生境概率评价。 相似文献