区域节水型社会经济体系的构建

水资源短缺和利用不合理将会严重制约区域社会经济的持续发展。本文在分析区域节水系统的结构、模型的基础上,针对我国水资源及其利用状况提出了构建区域节水型社会经济体系的基本框架和基本途径。     

GIS专业云计算人才培养模式探索

云计算技术的出现对传统GIS行业带来了巨大的影响以及良好的发展前景,结合云计算技术发展GIS系统及服务已成为GIS行业的发展趋势。因此,云计算技术的培养在GIS专业人才培养中十分重要,然而目前GIS专业的传统课程却没有涉及云计算技术方面,学生无法掌握目前行业所需要的云计算相关知识及技能。为解决这一问题,本文根据云计算技术在GIS中的知识模块,分析了通过竞赛提高学生云计算能力的方式,探索了"以赛促学"的培养模式,为培养高素质GIS专业云计算人才培养提供了新的方法。     

智慧城市中的大数据

智慧城市的功能之一是构建可智能感知的、泛在化的空间信息服务,并将这些服务按需求进行组合提供灵活的服务,这就要求空间信息服务能更好地适应不断变化的地理上下文环境。设计了上下文感知的空间信息服务的语义模型,该模型扩展了OWL-S本体,增加了地理上下文类、上下文前提条件类、上下文效果类和上下文绑定类以支持地理上下文和地理上下文适应性,并使用智能规划技术和语义增强技术,将上下文感知的空间信息服务组合转化为智能规划的求解过程,提高了服务组合精度。最后通过智慧旅游验证了上下文感知的空间信息服务组合方法的可行性和有效性。     

甘肃矿业的经济社会支撑度分析

甘肃是我国矿产资源相对丰富的省区之一,矿种齐全,分布面广,部分矿种的探明资源储量大,有色和贵金属矿产具有比较优势。在经济持续快速发展的新时期,矿产资源的经济社会支撑和保障能力是需要认真分析的战略问题。本文从甘肃实际出发,以统计数据为依据,分析了矿产资源对甘肃经济社会发展的支撑能力,提出了矿产资源开发和可持续利用的政策措施。     

基于集群的影像并行OPTA算法研究

并行计算是提高海量遥感影像细化处理速度的有效途径.基于对OPTA细化算法的分析,深入研究OPTA细化并行算法中数据划分和数据通信优化等关键问题,提出一种适合集群并行处理的通信优化并行算法,实验证明该算法具有良好的加速比,适合集群计算环境下海量遥感影像的细化处理.     

商业建筑的昨天今天和明天

从人们交换农业、手工业产品的“市”到店铺林立的商业一条街,商业和商业建筑的发展与社会和经济的发展密不可分,现代商业建筑的发展更与人们生活和消费水平分不开。因此,必须研究人们的职业与消费习惯、消费心理、做好市场调查和预测,把握市场机遇,创造适合经济和社会发展各阶段的商业间环境,研究国外现代商业建筑的发展,借鉴其经验,使我国商业建筑沿着正确的道路发展。     

Mapping the Stakeholders: Using Social Network Analysis to Increase the Legitimacy and Transparency of Participatory Scenario Planning

Participatory scenario planning (PSP) processes rely on accurate stakeholder identification to develop a key set of critical uncertainties. While many stakeholder analysis methods are able to identify stakeholders and describe their relationships, we found these efforts to have limited use in the fast-moving and in-depth approach of PSP research. We find that social network analysis (SNA) is an efficient, objective, and transparent approach to stakeholder identification in highly contested natural resource management issues. We present a case study of our research on Alaska’s Kenai Peninsula to describe how SNA’s ability to contextualize the relations between actors can benefit participatory research.     

地质调查大数据研究的主要问题分析

地质调查大数据包含地质调查工作中产生的多来源、多模态地质数据,以及公共服务与支撑管理产生的数据。一些与数据和计算有关的地质问题,限于当时的信息技术条件,没有得到很好的解决,解决这类地质问题及信息数据共享问题是地质调查大数据处理技术的基本目标。在地质调查大数据处理技术中,应当积极开展多类型地质数据采集器、新型非易失性存储技术、分布式计算、内存计算技术产品开发与应用,然后集中开展、深度分析与挖掘、可视分析技术产品开发与应用,最终形成地质调查大数据处理技术体系与产品线,以产品应用推动资源共享,提升地质调查信息化服务品质。     

Models in geography revisited

Agent based models (ABMs) have many applications, and illustrate a rapidly developing field of enquiry, spanning both the physical-mathematical and human-social sciences. ABMs are seen as most appropriate in situations where decisions or actions are distributed around particular locations, and in which structure is viewed as emergent from the interaction between individuals. ABMs may be used either as representational devices, to reproduce the patterns observed or desired in the system of interest, or as foundational tools contributing to the development of social or economic theory. The role and status of models and modelling is itself an instantiation of a wider debate concerning representation and explanation. Today, a case can be made that the nature of explanation and the use of scientific interpretation reflect much less definite and exclusive positions and permit more diverse approaches than hitherto. The underlying proposition of this commentary is, therefore, that the time is right for a positive application of ABMs within the discipline of geography, and for a rediscovery and reappraisal of the richness and depth of insight in the model-building enterprise more generally. First, the context for ABM development and application is set with reference to the agency-structure debate. Second, some aspects of the heritage of models in geography is presented, based upon reviews of two benchmark publications bearing that title. Next, some of the most significant characteristics, uses, potentials and limitations of ABMs, are reviewed. Finally, some constructive ways forward are suggested, as informed by theory and method from the interpretative social sciences.     

大型GNSS观测网的并行计算

CGCS2000精化及其全球拓展需要采用最新的模型,处理长期积累的大型GNSS观测网数据,大型GNSS网联合、快速和协同解算是空间基准精化、维持与服务的重要技术方向.在大数据技术背景下,以并行计算、云计算为代表的高性能计算技术逐渐成为大规模数据处理的首选方法.针对海量、多源、异构GNSS数据在解算处理与平差分析等方面面...