基于agent的商业中心地空间结构动态模拟

以克里斯泰勒提出的中心地空间结构为研究对象,回顾和总结了中心地理论的主要内容、理论发展和实际应用,并以复杂性科学的理论和方法为基础,根据中心地理论假设,提出基于agent建模的两层次agent模型结构,通过遗传算法再现和验证了克氏单一职能的六边形中心地空间格局。模拟表明,微观自主体的相互作用的确可以突现出六边形宏观空间格局,这为以后突破克氏理论中"均质、静态、封闭"的不足提供了新的研究途径。中心地宏观空间结构的微观机理需要进一步结合经济学演绎模型和ABM的计算实验深入研究。     

河流地貌系统的过程响应模型实验

本文讨论了河流地貌系统的过程响应模型的基本原理、设计步骤、模型砂料配制以及实验数据的系统分析,并给出了设计实例和某些分析成果。     

淮河流域洪涝变化动力系统研究

非线性现象是现代科学最重要的研究课题之一，地理现象无不存在着非线性，目前，地理学对非线性现象的研究多从分形角度开展，对其本质－混沌的研究较少，在先前关于淮河流域洪涝变化序列及其非线性特征研究的基础上，运用混沌理论和微分议程理论，对淮河流域洪涝变化混沌动力系统进行了初步研究，重建了一个3维2次非线性模型，研究表明，淮河流域洪涝变化混沌动力系统具有较Lorenz等典型混沌系统更复杂的形式。     

基于多粒度时空对象数据模型的高速公路智能监控系统建模

多粒度时空对象数据模型更注重现实世界复杂、动态现象的表达,能更好地应用于智能设施管理和智能决策支持系统。该文基于多粒度时空对象数据模型及其建模理论,对高速公路智能监控系统中实体对象的特征和关系进行概念建模,设计数据存储方案,开发高速公路智能监控多粒度时空对象建模原型系统,并验证数据模型的实用性。结果表明:多粒度时空对象数据模型可以很好地支撑高速公路智能监控系统中动态智能实体及实体间复杂关系的表达、管理和分析,实现对路情的智能分析与决策。     

元胞模型在地貌演化模拟中的应用浅析

元胞自动机是一个时空离散的动力学模型,是复杂系统的研究方法之一。从80年代后期开始,在许多领域都得到广泛的应用与发展。地貌是一个非线性动态复杂系统,元胞自动机模型(或更广意义上的元胞模型)为研究复杂地貌系统的动态演化提供了新的方法论工具。本文根据近些年国内外该领域的研究成果,对元胞模型在地貌演化模拟中的应用及进展进行了探讨,并分析了元胞模型方法在地貌演化模拟中的优势和不足。     

分形理论及其在地貌学中的应用──分形地貌学研究综述及展望

本文简介了分形的有关基本概念,回顾了分形理论在海岸、流水、喀斯特地貌等多种地貌类型和流域地貌发育的形态研究中,以及在地貌过程研究中的应用的新近成果,并提出了今后分形地貌学研究的五个主要方面.     

Defining agents' behaviour based on urban economic theory to simulate complex urban residential dynamics

In recent years, agent-based models (ABMs) have become a prevalent approach for modelling complex urban systems. As a class of bottom-up method, ABMs are capable of simulating the decision-making as well as the multiple interactions of autonomous agents and between agents and the environment. The definition of agents' behaviour is a vital issue in implementing ABMs to simulate urban dynamics. Urban economic theory has provided effective ways to cope with this problem. This theory argues that the formation of urban spatial structure is an endogenous process resulting from the interactions among individual actors that are spatially distributed. However, this theory is used to explain urban phenomena regardless of spatial heterogeneity in most cases. This study combines GIS, ABM and urban economic models to simulate complex urban residential dynamics. The time-extended model is incorporated into an ABM so as to define agents' behaviour on a solid theoretical basis. A spatial variable is defined to address the neighbourhood effect by considering spatial heterogeneity. The proposed model is first verified by the simulation of three scenarios using hypothetical data: (1) single dominated preference; (2) varying preferences on the basis of income level; and (3) spatially heterogeneous environment. Then the model is implemented by simulating the residential dynamics in Guangzhou, China.     

Mining spatiotemporal association patterns from complex geographic phenomena

ABSTRACT

Spatiotemporal association pattern mining can discover interesting interdependent relationships among various types of geospatial data. However, existing mining methods for spatiotemporal association patterns usually model geographic phenomena as simple spatiotemporal point events. Therefore, they cannot be applied to complex geographic phenomena, which continuously change their properties, shapes or locations, such as storms and air pollution. The most salient feature of such complex geographic phenomena is the geographic dynamic. To fully reveal dynamic characteristics of complex geographic phenomena and discover their associated factors, this research proposes a novel complex event-based spatiotemporal association pattern mining framework. First, a complex geographic event was hierarchically modeled and represented by a new data structure named directed spatiotemporal routes. Then, sequence mining technique was applied to discover the spatiotemporal spread pattern of the complex geographic events. An adaptive spatiotemporal episode pattern mining algorithm was proposed to discover the candidate driving factors for the occurrence of complex geographic events. Finally, the proposed approach was evaluated by analyzing the air pollution in the region of Beijing-Tianjin-Hebei. The experimental results showed that the proposed approach can well address the geographic dynamic of complex geographic phenomena, such as the spatial spreading pattern and spatiotemporal interaction with candidate driving factors.     

颗粒物质中的崩塌现象

沙丘发育和前移、泥石流、雪崩、地震等诸多自然现象和自然灾害都与颗粒物质的崩塌有着紧密的联系。Bak等提出的元胞自动机模型(简称BTW模型)、Kadanoff提出的广义LL模型(loca llimited model)、Manna提出的随机性自动元胞机模型(stochastic automaton)和Wiesenfeld等人提出的决定性元胞自动机模型(deterministic automaton)模拟沙堆崩塌现象, 各有成功之处, 在一定程度上反映了颗粒崩塌的某些非线性特征, 然而, 都局限于一定的实验和模拟条件, 与实际结果尚有相当的差距。迄今并没有一个普适的理论概括颗粒物质的崩塌现象, 有待深入的实验和理论分析。笔者在调研和分析大量文献后, 对今后如何研究沙堆崩塌现象提出了一些看法。     

基于多智能体建模技术的城市用地时空演化研究

为应对现代城市发展在用地资源分配和生态环境保护上遇到的巨大挑战,研究在综合复杂系统理论、城市经济学以及地理信息系统等多种学科技术的前提下,应用多智能体建模软件NetLogo构建了一个以“由下至上”运行机制为主的城市用地拓展模型,通过不同微观个体之间的互动反馈行为来实现对圣地亚哥城市宏观用地布局的模拟,并应用逐点比对和整体比对两种不同的精度检验方法来测算模型分析结果的准确性;针对当前模型研究存在的问题和未来可能的改进方向进行了归纳分析。     

起伏地形下黄河流域太阳直接辐射分布式模拟

1 Introduction Directsolarradiation (DSR)isthe key com ponentofthe globalradiation reaching the Earth.For the influence of terrain factors,calculation of DSR quantity of rugged terrain is considerably com plex (Oliphantetal.,2003). The solarradiation quan…     

Mineral and Lithology Mapping of Drill Core Pulps Using Visible and Infrared Spectrometry

A novel approach for using field spectrometry for determining both the mineralogy and the lithology of drill core pulps (powders) is developed and evaluated. The methodology is developed using material from a single drillhole through a mineralized sequence of rocks from central New South Wales. Mineral library spectra are used in linear unmixing routines to determine the mineral abundances in drill core pulps that represent between 1 m and 3 m of core. Comparison with X-Ray Diffraction (XRD) analyses shows that for most major constituents, spectrometry provides an estimate of quantitative mineralogy that is as reliable as that provided by XRD. Confusion between the absorption features of calcite and those of chlorite causes the calcite contents determined by spectrometry to be unreliable. Convex geometry is used to recognize the spectra of those samples that are extreme and are representative of unique lithologies. Linear unmixing is used to determine the abundance of these lithologies in each drillhole sample and these abundances are used to interpret the geology of the drillhole. The interpreted geology agrees well with conventional drillhole logs of the visible geology and photographs of the split core. The methods developed provide a quick and cost-effective way of determining the lithology and alteration mineralogy of drill core pulps.     

起伏地形下黄河流域太阳直接辐射分布式模式

基于数字高程模型(DEM)数据和气象站观测资料建立了起伏地形下太阳直接辐射分布式计算模型,模型充分考虑了地形因子(坡向、坡度、地形相互遮蔽)对起伏地形下太阳直接辐射空间分布的影响;以1km×1km分辨率的DEM数据作为地形的综合反映,计算了起伏地形下黄河流域1km×1km分辨率太阳直接辐射的空间分布;深入分析了起伏地形下太阳直接辐射受地理、地形因子影响的变化规律.结果表明受地形起伏和坡向、坡度等局地地形因子的影响,山区年太阳直接辐射量的空间差异比较明显,向阳山坡(偏南坡)的年直接辐射量明显高于背阴山坡(偏北坡).     

矿业城市经济系统脆弱性评价——以铜陵市为例

矿业城市经济系统脆弱性包含敏感性和适应性两方面,具有典型的复杂、非线性系统特征。以一般系统理论构建敏感性和适应性发展水平和发展速度评价模型,以反正切函数构建二者耦合度评价模型,并以耦合度表征经济系统的脆弱度。以铜陵市为例,2001-2010年该市经济系统敏感性和适应性状态值呈递增正相关变化,适应性变化速度快于敏感性(前者先递增后递减,后者平稳递增);脆弱度在2005年前递增,之后递减,评价结果与铜陵市经济发展实际相符。基于一般系统理论的耦合度评价模型为矿业城市经济系统脆弱性研究提供了一种新途径。     

A formal framework for the representation of stack-based terrains

This paper presents a formal framework for the representation of three-dimensional geospatial data and the definition of common geographic information system (GIS) spatial operations. We use the compact stack-based representation of terrains (SBRT) in order to model geological volumetric data, both at the surface and subsurface levels, thus preventing the large storage requirements of regular voxel models. The main contribution of this paper is fitting the SBRT into the geo-atom theory in a seamless way, providing it with a sound formal geographic foundation. In addition we have defined a set of common spatial operations on this representation using the tools provided by map algebra. More complex geoprocessing operations or geophysical simulations using the SBRT as representation can be implemented as a composition of these fundamental operations. Finally a data model and an implementation extending the coverage concept provided by the Geography Markup Language standard are suggested. Geoscientists and GIS professionals can take advantage of this model to exchange and reuse geoinformation within a well-specified framework.     

跨地方饮食品牌重塑的理论模型与实证分析

采用结构方程模型,构建了基于原产地形象,在地消费文化,品牌知名度,感知质量,品牌忠诚度,购买意愿等6个概念的理论模型,以广州哈根达斯为例,探讨文化地理因素如何作用于哈根达斯在中国的跨地方品牌重塑.研究发现:① 哈根达斯借助品牌重塑已在中国广泛确立其高档冰激凌品牌定位,实现了品牌升级,价格成为品牌升级的表征;② 原产地形象,在地消费文化均显著正向影响品牌知名度及感知质量,进一步对品牌忠诚度及购买意愿产生积极影响;③ 哈根达斯的品牌知名度对品牌忠诚度的影响不显著,感知质量对购买意愿的影响不显著;④ 不同于购买频率低的消费者,购买频率高的消费者的感知质量不再受原产地形象和在地消费文化的影响.本研究有助于推进跨地方饮食文化生产理论的发展,也是对品牌重塑理论的补充,将促进饮食地理领域的国际对话.     

我国城市更新中的权益博弈研究述评

城市更新是城市发展的一种重要方式,其关键和难点在于平衡利益相关者之间的权益博弈。在城市化快速发展时期,我国便出现了大规模的城市更新,这使得我国城市更新中的权益博弈形成了独特的模式与特征,较之于西方发达国家也更加复杂。文章认为随着我国城市更新研究的不断深入,在权益博弈研究领域取得了一定的成果,但也存在一些问题与不足,如对博弈主体间的关系研究不足、对城市更新中的“社会运动”现象研究不够,未来的研究需要综合运用多学科理论,注重典型个案的深入研究,逐步构建出合乎中国国情的城市更新权益博弈理论。     

A bat-inspired approach to define transition rules for a cellular automaton model used to simulate urban expansion

A new metaheuristic approach is presented to discover transition rules for a cellular automaton (CA) model using a novel bat movement algorithm (BA). CA is capable of simulating the evolution of complex geographical phenomena, and transition rules lie at the core of these models. An intelligence algorithm based on the echolocation behavior of bats is used to discover explicit transition rules for use in simulating urban expansion. CA transition rules are formed by links between attribute constraint items and classification items. The transition rules are derived using the BA to optimize the lower and upper threshold values for each attribute. The BA-CA model is then constructed for the simulation of urban expansion observed for Nanjing City, China. The total accuracy of newly formulated BA-CA model for this application is 86.9%, and the kappa coefficient is 0.736, which strongly suggest that the interactions of bats are effective in capturing the relationships between spatial variables and urban dynamics. It is further demonstrated that this bat-inspired BA-CA model performs better than the null model, the particle swarm optimization-based CA model (PSO-CA), and the ant colony optimization-based CA model (ACO-CA) using the same dataset. The model validation and comparison illustrate the novel capability of BA for discovering transition rules of CA during the simulation of urban expansion and potentially for other geographic phenomena.     

陕西文学地理分异研究

文学地理学是从地域的角度,用空间的观点来分析研究文学。通过对形成现当代陕西文学地域差异的自然地理因素与人文地理因素研究,探索文学空间分异机制,构建文学地理学相应的理论框架。文学地域差异中最重要的方面是文学发展程度和文学风格的差异。陕西文学发展程度存在地域不平衡,其中地理条件优越,经济、文化发达地区以及交通要道、文化交流较多的地区多是文学发展程度较高的地区。自然景观的单调与繁复除直接影响着文风的质朴与瑰丽外,更多的通过在地理环境基础上形成的有着独特区域特点的经济类型、生活方式,以及由此所衍生的民风民性等方面曲折地影响着文学家,进而影响其风格。文学的这种空间分异性使文学表现出明显的地域差异。     

基于线性GSI二维半变异函数各向异性结构建模及估计研究——以DEM数据为例

鉴于传统各向异性二维半变异函数各向同性化方法未充分考虑或无力精确描述其内部结构信息的缺陷,本研究通过引入线性广义尺度不变（GSI）模型,以DEM数据作为验证对象,对二维半变异函数各向异性结构信息进行多尺度建模,并采用旋转椭圆法、两步搜索作图法等方法对系统参数进行估计,最后以球状模型为例对理论半变异函数的估计精度,及其在空间数据插值中的应用效果进行对比研究。结果表明：各向异性普遍存在于地形数据的空间变异中,有证据表明,这种各向异性结构中处处显现出不同的变形特征,但是也存在着某种规则性的成分,如各向同性圆形或近圆形等值线,因此,在对坐标进行各向同性化处理时不适合采用“一刀切”的方式去处理;GSI系统参数皆能得到较高精度的估计,如决定系数R²普遍达到了0.99以上,间接证明了GSI模型对地形数据各向异性结构处理的有效性和适用性;通过理论模型估计和插值结果对比,线性GSI坐标转换法比传统坐标转换法有了明显的精度提升,并且展现出了较高的边缘信息恢复能力,但也表现出了一定的局限性和不稳定性。