基于GIS的旅游住宿餐饮信息系统的研究与实现

在我国,被世界上誉为朝阳产业的旅游业在国家政策的支持下,正在健康飞速地发展。本文是以唐山市区的主要旅游景点为例,采用C#语言与Arc Engine组件式开发,研究并实现了基于GIS的旅游住宿餐饮信息系统,通过本系统的研究与实现不仅可以满足游客的不同需求,为游客的出行游玩带来便捷,还能促进唐山旅游业的发展,带动区域经济。     

关于地理信息系统与决策支持系统的探讨

首先对GIS和DSS的定义、结构及其基本功能作了简要分析 ,分析了二者进行集成的必要性和可行性 ,在此基础上提出了基于GIS的空间决策支持系统 (SDSS)作为DSS的一个新的研究分支 ,是一个解决与空间有关问题的决策支持系统。举例说明了SDSS在各领域的应用。还提出了研究知识工程、空间数据挖掘等技术对SDSS具有的重要意义     

基于天地图的城市旅游地理信息系统设计与实现——以牡丹江市为例

建设基于Web GIS的旅游地理信息系统,是促进和推广GIS在旅游产业中应用的有效方法。根据牡丹江市旅游业发展实际和我国可使用的在线电子地图现状,从方便用户出发,设计并构建了基于天地图的牡丹江市旅游地理信息系统。该系统充分利用了空间数据库和GIS的空间查询和分析功能。本文对该系统进行了研究设计。该系统的搭建为建设牡丹江市旅游服务平台、发展牡丹江市旅游事业提供了技术支撑,为百姓出行旅游提供了辅助参考。     

浅谈基于ERDAS的三维GIS系统实现

主要研究利用三维空间数据、DOM及DEM创建三维虚拟场景。将ERDAS IMAGINE的Virtual GIS模块与第三方建模软件相结合,解决了模型导入ERDAS Virtual GIS Viewer中贴图丢失的问题,实现了立体模型的仿真构建和三维GIS系统的动态管理。同时,对模拟雾气分析、空间视域分析和洪水淹没分析等方面的应用进行了研究,使该系统更具应用价值。     

GIS在旅游资源空间查询中的应用浅析

随着旅游业的蓬勃发展,GIS作为一种通用技术,在旅游领域的应用不断扩展,GIS将成为表达旅游信息、促进旅游信息化建设的得力工具。GIS提供了功能强大的空间查询方法,这将便于游客迅速快捷地进行旅游信息查询,也有助于决策部门进行旅游资源规划和管理。就如何利用ArcMap在旅游资源中空间查询旅游信息的方法进行了浅析。     

基于Agent的游览路线设计与模拟

本文以庐山游客游览路线智能模拟为研究实例,从游客个体的微观层次出发,解决了庐山旅游路线空间数据库的构建、游客agent游览路线模拟概念模型的构建、游客agent行为规则的定量化,以及游客agent游览路线模拟的实现等关键技术问题。研究结果表明,游客游览过程的动态模拟能够直观反映游客的旅游路线,基于Re-past建模仿真平台的游客agent空间行为模型结合了Agent与GIS,实现游客游览路线过程的动态模拟,有效改善了GIS的空间行为过程模拟功能,为游客选择更优游览路线的提供合理参考。     

分布式动态监管系统关键技术探讨

以公共服务平台为基础,通过分析当前GIS在监管系统应用中的局限性,研究了分布式共享、工作流、移动数据采集等关键技术,以山东测量标志动态监管信息系统为例,搭建了通用的动态监管系统框架,实现了GIS在动态监管系统的应用。     

基于3S和移动通信技术的惠州市国土资源动态巡查系统设计与实现

在论述了建立国土资源动态巡查系统必要性的基础上,提出了建立市一级国土资源动态巡查系统的总体目标,从总体技术架构、功能层次设计到系统关键技术给出了详细的国土资源动态巡查系统的解决方案。通过该系统的实现和应用,证实了利用GIS、GPS、移动通信技术建立国土资源动态巡查系统有极大的实际意义。     

基于线上线下一体化的移动旅游信息服务研究

借助GIS、LBS、移动互联以及二维码等先进技术,探讨了线上线下一体化的移动旅游服务新模式,基于微信公众平台,搭建了移动旅游信息服务系统,为游客提供实时地图、导游导览以及“吃、住、行、游、购、娱”六要素信息服务。实践证明,该系统实现了线上线下一体化应用,提升了游客体验的便捷度和满意度。     

空间决策支持系统及其支撑软件的设计与应用

本文讨论了SDSS的概念和基本理论,以决策支持为目标,面向半结构化和非结构化问题,用模型驱动的SDSS,是GIS未来的发展方向。在技术上用C语言实现了SDSS支撑软件的设计,并应用于国家科技攻关课题“三川河流域区域治理与开发信息系统”,取得了良好效果;同时对SDSS开发中存在问题作了讨论。     

Development of a spatial decision support system for monitoring earthquake-induced landslides based on aerial photographs and the finite element method

The evaluation of slope stability is essential for the management of landslide hazards. The integration of spatial information and geomechanical modeling facilitates the understanding and evaluation of landslide hazards. In this study, we use a spatial decision support system (SDSS)—incorporating aerial photographic data, GIS techniques, field investigations, and finite element geomechanical modeling—to analyze the mechanisms of the Hungtaiping landslide, which was induced by the 1999 Chi-Chi earthquake. The analysis clarifies the slide mechanisms that cannot be revealed either by examining aerial photographic or underground exploration data alone. The finite element modeling calibrated using digital aerial photographic data shows that the landslide results from the deformation and slides of the thick colluvium. Surficial displacements in the twenties of meters are attributed to the slide between the colluvium and the bedrock as well as the shear deformation and slides within the colluvium. The landslide SDSS can help determine model parameters, evaluate slide mechanisms and remediation measures, and predict slope behavior for a subsequent earthquake event.     

The development of spatial decision support system tool for marine spatial planning

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.     

Integrating a Raster Geographical Information System with Multi‐Objective Land Allocation Optimization for Conservation Reserve Design

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.     

基于GIS的生态城市建设空间决策支持系统

探索了基于G1S城市生态规划决策支持系统基本原理和设计开发,为生态环境的开发利用和建设管理提供辅助技术支持,对GIS、DSS和SDSS的有效结合并应用于城市生态规划作有益尝试。     

Developing a web-based spatial decision support system for geothermal exploration at the Olkaria geothermal field

ABSTRACT

Geothermal exploration is a complex process that spans a number of disciplines. Before a decision is made to drill a geothermal well, there is need for an extensive exploration process to determine the most suitable location. The process of evaluating and analyzing data from individual scientific disciplines can be complex and tedious. Attempts have been made at solving this problem using GIS-based tools but the uptake of these tools is often hindered by the limited knowledge of GIS by decision makers. This paper presents an approach for solving the geothermal exploration question through a web-based spatial decision support system (SDSS) that incorporates the various geosciences through a multi-criteria spatial decision analysis model. The results reveal a decision-making gap that is to be filled using a novel, automated exploration SDSS. This approach hypothesizes an easier and faster decision-making process. The research focuses on Olkaria, an active geothermal area in Kenya, East Africa and highlights a pragmatic approach to identifying priority areas for drilling. It evaluates contributions made by many disciplines in identifying potential sites ideal for harnessing geothermal energy and the gaps that emerge in an effort to synergize the results from the different disciplines.     

基于Web的潜在矿产资源评价空间决策支持系统研究

为了将定性的地质理论与计算机定量化分析结合起来应用于潜在矿产资源评价,并在潜在矿产资源评价决策支持中能够共享异构分布的决策资源,本研究采用了SOA(Service-oriented architecture)架构的软件开发方法,使用了Web Services技术,集成GMS、GIS和DSS功能,设计了基于Web的潜在矿产资源评价空间决策支持系统。本文选择了潜在铁矿资源评价作为实例对系统进行了验证,验证结果表明,该系统具有模型驱动、决策支持和空间分析集成、基于Web的决策资源共享、评价决策支持方式定性和定量有机结合的优点。     

水库移民GIS辅助决策支持系统的设计和实现

空间决策支持系统(Spatial Decision Support System SDSS)作为一个新兴科学技术领域,以地理信息系统(GIS)和决策支持系统(DSS)为基础,以解决生产实践问题为目标,目前已经被广泛应用于水利、交通、农业等行业。本文主要介绍应用SDSS数据和模型之间关系的思想设计和实现用于解决大型水库项目中涉及的移民安置处理问题的空间决策支持系统。系统中主要是以移民如何安置问题为基础来设计各种空间分析模型功能,其中与空间信息处理有关的几个模型主要有移民安置区选择,移民安置区环境容量分析,水库淹没损失赔偿以及移民安置区土地资源评价等问题。要解决这些生产实践问题需要对各种数据信息进行综合的宏观分析和深层次挖掘分析,结合专家知识设计可行的处理模型,并运用计算机技术和GIS技术加以实现。     

An integrated environment for developing knowledge-based spatial decision support systems

Knowledge-based spatial decision support systems (KBSDSS) incorporate heuristic reasoning, and analytical and spatial modelling capabilities to support decision making in resource and environmental management. They are able to provide the assistance for both the structuring and formulation of the spatial problem, and the design and execution of a solution process by automatically integrating different types of models and data. This paper presents a KBSDSS development environment, which connects a GIS tool (ARC/INFO) with an expert system tool (CLIPS) and a hypertext diagramming tool (HARDY). ARC/INFO provides capabilities for spatial data handling. CLIPS is used to develop knowledge bases and heuristic reasoning. HARDY is used to represent spatial problems in terms of diagrams that can then be translated into a CLIPS knowledge base for evaluation. The development environment allows users to structure their problems and develop models for particular requirements and domains.     

防汛会商决策支持系统实现方法

防汛会商属于风险决策和群决策,本文基于决策支持理论,结合我国防汛指挥的实际情况,详细分析论证了当今的信息技术特点和应用前景,阐述了信息领域的网络技术、地理信息系统技术、数据仓库技术和人工智能等在防汛会商决策支持系统中的实际应用。概述了防汛会商决策支持系统的总体结构和实现思路。