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1.
西安入境游客目的地空间意象认知序列研究 总被引：4，自引：1，他引：3
选取西安入境游客为研究对象,依托324 份调查问卷中所提取和统计的认知地图相关数据,分析了西安城市目的地空间意象特征,并重点探讨了认知地图类型及构成要素在游客停留天数上的动态变化过程,据此提出了入境游客目的地城市空间意象认知过程。结果显示：① 西安入境游客的认知地图共分为四大类型,其中以空间型为主,单体型、序列型和混合型次之。② 从空间意象认知要素上看,标志物出现频率最高,其次为区域、边界、节点和道路。以钟楼为中心结合城墙以及东西南北4 条大街,构成了入境游客西安城市目的地空间意象的基本框架。③ 西安入境游客目的地空间认知过程,在认知地图主导类型上,呈现“空间型+单体型→空间型→序列型（混合型）→单体型”的演变序列,在空间认知主导要素上,则为“标志物→标志物+道路→标志物”的发展序列。这一空间认知过程反映了游客对目的地空间意象的关注重点由个性到结构,再到意义的转换。 相似文献
2.
通过梳理历代文学作品尤其是诗词中的玉门关、阳关、嘉峪关,探析这些地理界标在当时人空间认知中的指代;并确定同期中原与西域间的地理界标;比较界标和界标意象,解读两者之间的关系,探讨界标变动的推动因素。分析发现：① 地理界标缘于疆域的变动和边防经略的调整,其规模、位置等自然之形随着丝绸之路路线变迁而改变;② 中原与西域两大空间的界标与国家疆域时而背离、时而重合;③ 当中原王朝管控能力强时,界标与界标意象重合,反之,界标与意象出现背离。借助文学作品来阐释它们的变迁历程,是深入开展边疆史地研究的一次尝试,为历史地理学研究提供新的视角。 相似文献
3.
Historical markers help preserve and display history and communicate what a group deems important about a place's past. This paper analyzes the changing themes and landscape relevance of California's official historical landmarks. California's thousand‐plus markers are classified and mapped by themes, analyzed for changing topical emphasis over time, and evaluated for landscape presence. The thematic distribution and relative density of these landmarks is uneven. Gold Rush and Spanish themes have become less prevalent over time as culturally related landmarks have grown in importance. This paper illustrates how historical landmark programs help sustain and define the public's collective memory through designating dispersed geographical locations as particularly important points of reference to the past. 相似文献
4.
城市空间感知是行为地理学的经典研究课题,论文采用认知地图并辅以问卷调查方法,在一年时间内跟踪调查中国科学院大学雁栖湖校区2017级硕士研究生,根据手绘地图分析中国科学院大学(国科大)硕士研究生城市空间感知的过程与特征。结果表明：① 有别于凯文·林奇(K. Lynch)的空间意象5大要素,国科大研究生手绘地图的基本要素主要为标志物、节点、道路,其中标志物占主导地位;② 根据要素组合特征,可将认知地图划分为散点型、过渡型和拓扑型3类,散点型地图占据绝对数量优势,随驻留北京时间延长,认知地图结构渐趋复杂;③ 国科大研究生北京城市空间感知表现出偏好特殊性、空间非均衡性、个体差异性、感知过程不完整性等特点;④ 远距离感知、城市空间尺度大、受访者逗留时间短等主客观因素制约了北京城市整体可意象性。 相似文献
5.
本文提出一种基于随机森林的元胞自动机城市扩展(RF-CA)模型。通过在多个决策树的生成过程中分别对训练样本集和分裂节点的候选空间变量引入随机因素,提取城市扩展元胞自动机的转换规则。该模型便于并行构建,能在运算量没有显著增加的前提下提高预测的精度,对城市扩展中存在的随机因素有较强的容忍度。RF-CA模型可进行袋外误差估计,以快速获取模型参数;也可度量空间变量重要性,解释各空间变量在城市扩展中的作用。将该模型应用于佛山市1988-2012年的城市扩展模拟中,结果表明,与常用的逻辑回归模型相比,RF-CA模型进行模拟和预测分别能够提高1.7%和2.6%的精度,非常适用于复杂非线性特征的城市系统演变模型与扩展研究;通过对影响佛山市城市扩展的空间变量进行重要性度量,发现对佛山城市扩张模拟研究而言,距国道的距离与距城市中心的距离具有最重要的作用。 相似文献
6.
藏、汉对比视角下的城市空间环境认知研究——以中国西藏日喀则市为例 总被引：2，自引：0，他引：2
以分布式认知理论为基础,采用质性研究法、数量分析法以及GIS空间分析技术,探讨日喀则市藏族、汉族居民对城市空间环境认知的异同性。研究表明,藏族对城市空间环境的认知得分高于汉族对城市空间环境的认知得分。藏族、汉族对城市空间环境的认知水平可分为高、中、低3类。认知空间呈现圈层结构与混合结构模式,可分为藏汉一致性、藏族独立以及汉族独立3种认知空间类型。影响居民对城市空间环境的认知因素有共性因素和差异性因素。景观走廊质量、宜居性、基础设施两项是藏族居民关注的主要影响因素,汉族居民更关注公共服务设施的服务能力以及对当地文化的融入感。 相似文献
7.
城市人口空间分析及其GIS应用模型 总被引：10，自引：2，他引：10
城市作为大规模集中的人类非农性社会经济活动在二维平面上的投影点，相互之间存在着空间作用，这使得城市人口的变动不仅仅是其内在属性影响的结果，还是城市实体空间分布作为位置变量对城市人口内在属性综合作用的结果。文章通过实证进行了城市人口空间分析，并探讨了相关GIS应用模型特性和建立的诸多问题。 相似文献
8.
城市交通热点区域的空间交互网络分析 总被引：1，自引：0，他引：1
城市热点区域是人们频繁活动的体现,利用人们的出行可构建空间交互网络。目前的相关研究主要集中于对热点提取方法及其动态变化的研究,对交通热点的交互作用及其构成的空间交互网络的研究还很少。本文以武汉市的出租车轨迹为数据源,利用基于时空数据场的聚类方法提取城市交通热点区域;基于复杂网络理论与方法,分析城市交通热点区域之间的空间交互作用。通过研究发现：①节假日,热点区域之间的往返交互较多;工作日,热点区域之间的交互较少;②节假日,影响力较大的节点为车站、机场等;工作日,影响力较大的节点是社区和工作地;③社团探测发现,工作日跨越长江的交互较多,非工作日跨越长江的交互较少。上述研究结论可为交通管理部门针对节假日和工作日分别制定不同的交通管理政策和方法提供参考。 相似文献
9.
Spatial relations,reflecting the complex association between geographical phenomena and environments,are very important in the solution of geographical issues. Different spatial relations can be expressed by indicators which are useful for the analysis of geographical issues. Urbanization,an important geographical issue,is considered in this paper. The spatial relationship indicators concerning urbanization are expressed with a decision table. Thereafter,the spatial relationship indicator rules are extracted based on the application of rough set theory. The extraction process of spatial relationship indicator rules is illustrated with data from the urban and rural areas of Shenzhen and Hong Kong,located in the Pearl River Delta. Land use vector data of 1995 and 2000 are used. The extracted spatial relationship indicator rules of 1995 are used to identify the urban and rural areas in Zhongshan,Zhuhai and Macao. The identification accuracy is approximately 96.3%. Similar procedures are used to extract the spatial relationship indicator rules of 2000 for the urban and rural areas in Zhongshan,Zhuhai and Macao. An identification accuracy of about 83.6% is obtained. 相似文献
10.
Fangyuan Yu Thomas A. Groen Tiejun Wang Andrew K. Skidmore Jihong Huang Keping Ma 《International journal of geographical information science》2017,31(1):190-212
Understanding the environmental factors determining the distribution of species with different range sizes can provide valuable insights for evolutionary ecology and conservation biology in the face of expected climate change. However, little is known about what determines the variation in geographical and elevational ranges of alpine and subalpine plant species. Here, we examined the relationship between geographical and elevational range sizes for 80 endemic rhododendron species in China using Spearman’s rank-order correlation. We ran the species distribution model – maximum entropy modelling (MaxEnt) – with 27 environmental variables. The importance of each variable to the model prediction was compared for species groups with different geographical and elevational range sizes. Our results showed that the correlation between geographical and elevational range sizes of rhododendron species was not significant. Climate-related variables were found to be the most important factors in shaping the distributional ranges of alpine and subalpine plant species across China. Species with geographically and elevationally narrow ranges had distinct niche requirements. For geographical ranges, the narrow-ranged species showed less tolerance to niche conditions than the wide-ranged species. For elevational ranges, compared with the wide-ranged species, the narrow-ranged species showed an equivalent niche breadth, but occurred at different niche position along the environmental gradient. Our findings suggest that over large spatial extents the elevational range size can be a complementary trait of alpine and subalpine plant species to geographical range size. Climatic niche breadth, especially the range of seasonal variability, can explain species’ geographical range sizes. Changes in climate may influence the distribution of rhododendrons, with the effects likely being felt most by species with either a narrow geographical or narrow elevational range. 相似文献
11.
Spatial relations, reflecting the complex association between geographical phenomena and environments, are very important in the solution of geographical issues. Different spatial relations can be expressed by indicators which are useful for the analysis of geographical issues. Urbanization, an important geographical issue, is considered in this paper. The spatial relationship indicators concerning urbanization are expressed with a decision table. Thereafter, the spatial relationship indicator rules are extracted based on the application of rough set theory. The extraction process of spatial relationship indicator rules is illustrated with data from the urban and rural areas of Shenzhen and Hong Kong, located in the Pearl River Delta. Land use vector data of 1995 and 2000 are used. The extracted spatial relationship indicator rules of 1995 are used to identify the urban and rural areas in Zhongshan, Zhuhai and Macao. The identification accuracy is approximately 96.3%. Similar procedures are used to extract the spatial relationship indicator rules of 2000 for the urban and rural areas in Zhongshan, Zhuhai and Macao. An identification accuracy of about 83.6% is obtained. 相似文献
12.
Jose Morales Alfred Stein Johannes Flacke Jaap Zevenbergen 《International journal of geographical information science》2020,34(7):1451-1474
ABSTRACT Spatial information of land values is fundamental for planners and policy makers. Individual appraisals are costly, explaining the need for predictive modelling. Recent work has investigated using Space Syntax to analyse urban access and explain land values. However, the spatial dependence of urban land markets has not been addressed in such studies. Further, the selection of meaningful variables is commonly conducted under non-spatialized modelling conditions. The objective of this paper is to construct a land value map using a geostatistical approach using Space Syntax and a spatialized variable selection. The methodology is applied in Guatemala City. We used an existing dataset of residential land value appraisals and accessibility metrics. Regression-kriging was used to conduct variable selection and derive a model for spatial prediction. The prediction accuracy is compared with a multivariate regression. The results show that a spatialized variable selection yields a more parsimonious model with higher prediction accuracy. New insights were found on how Space Syntax explains land value variability when also modelling the spatial dependence. Space Syntax can contribute with relevant spatialized information for predictive land value modelling purposes. Finally, the spatial modelling framework facilitates the production of spatial information of land values that is relevant for planning practice. 相似文献
13.
Yaqiong Liu Hock Soon Seah 《International journal of geographical information science》2013,27(6):953-979
Recently, points of interest (POIs) recommendation has evolved into a hot research topic with real-world applications. In this paper, we propose a novel semantics-enhanced density-based clustering algorithm SEM-DTBJ-Cluster, to extract semantic POIs from GPS trajectories. We then take into account three different factors (popularity, temporal and geographical features) that can influence the recommendation score of a POI. We characterize the impacts caused by popularity, temporal and geographical information, by using different scoring functions based on three developed recommendation models. Finally, we combine the three scoring functions together and obtain a unified framework PTG-Recommend for recommending candidate POIs for a mobile user. To the best of our knowledge, this work is the first that considers popularity, temporal and geographical information together. Experimental results on two real-world data sets strongly demonstrate that our framework is robust and effective, and outperforms the baseline recommendation methods in terms of precision and recall. 相似文献
14.
Guodong Du Liang Yuan Shunsuke Managi 《International journal of geographical information science》2018,32(4):757-782
Urban multiple land use change (LUC) modelling enables the realistic simulation of LUC processes in complex urban systems; however, such modelling suffers from technical challenges posed by complicated transition rules and high spatial heterogeneity when predicting the LUC of a highly developed area. Tree-based methods are powerful tools for addressing this task, but their predictive capabilities need further examination. This study integrates tree-based methods and cellular automata to simulate multiple LUC processes in the Greater Tokyo Area. We examine the predictive capability of 4 tree-based models – bagged trees, random forests, extremely randomised trees (ERT) and bagged gradient boosting decision trees (bagged GBDT) – on transition probability prediction for 18 land use transitions derived from 8 land use types. We compare the predictive power of a tree-based model with multi-layer perceptron (MLP) and among themselves. The results show that tree-based models generally perform better than MLP, and ERT significantly outperforms the three other tree-based models. The outstanding predictive performance of ERT demonstrates the advantages of introducing bagging ensemble and a high degree of randomisation into transition probability modelling. In addition, through variable importance evaluation, we found the strongest explanatory powers of neighbourhood characteristics for all land use transitions; however, the size of the impacts depends on the neighbourhood land use type and the neighbourhood size. Furthermore, socio-economic and policy factors play important roles in transitions ending with high-rise buildings and transitions related to industrial areas. 相似文献
15.
网上零售企业的空间组织研究——以"当当网"为例 总被引：5，自引：1，他引：4
零售商业活动及其空间组织历来是城市和经济地理学研究的重要主题之一.伴随着新的信息和通信技术的应用和普及,一种新的商业业态--网上购物,正在被越来越多的商家和消费者所接受.这一趋势对零售业的价值链、商业模式以及空间组织均产生了不可忽视的影响.本文试图通过对国内主要的电子商务企业之一"当当网"的研究,初步探讨网上零售企业的... 相似文献
16.
Using a maximum entropy model to optimize the stochastic component of urban cellular automata models 总被引：1，自引：0，他引：1
Haijun Wang Chang Xia Sanwei He Wenting Zhang 《International journal of geographical information science》2020,34(5):924-946
ABSTRACT The stochastic perturbation of urban cellular automata (CA) model is difficult to fine-tune and does not take the constraint of known factors into account when using a stochastic variable, and the simulation results can be quite different when using the Monte Carlo method, reducing the accuracy of the simulated results. Therefore, in this paper, we optimize the stochastic component of an urban CA model by the use of a maximum entropy model to differentially control the intensity of the stochastic perturbation in the spatial domain. We use the kappa coefficient, figure of merit, and landscape metrics to evaluate the accuracy of the simulated results. Through the experimental results obtained for Wuhan, China, the effectiveness of the optimization is proved. The results show that, after the optimization, the kappa coefficient and figure of merit of the simulated results are significantly improved when using the stochastic variable, slightly improved when using Monte Carlo methods. The landscape metrics for the simulated results and actual data are much closer when using the stochastic variable, and slightly closer when using the Monte Carlo method, but the difference between the simulated results is narrowed, reflecting the fact that the results are more reliable. 相似文献
17.
Abstract The field of geographical information systems (GIS) is reviewed from the viewpoint of spatial analysis which is the key component of the familiar four-part model of input, storage, analysis and output Input is constrained by the limits of manual methods and problems of ambiguity in scanning. The potential for developments in output is seen to be limited to the query mode of GIS operation, and to depend on abandoning the cartographic model. Discussion of storage methods is organized around the raster versus vector debate and the need to represent two spatial dimensions in one. A taxonomy of GIS spatial analysis operations is presented together with a generic data model. Prospects for implementation are discussed and seen to depend on appropriate scales of organization in national and international academic research. 相似文献
18.
中国城市空间拓展研究动态 总被引：3，自引：1，他引：2
本文在总结了近年来中国城市空间拓展在形态与模式、空间拓展机制、空间拓展动态模拟、空间拓展环境效应等多方面所取得的丰硕成果和研究进展的基础上,提出现阶段中国城市空间拓展研究的主要特点是采用定量化的研究方法,筛选城市空间拓展的驱动因素,应用遥感和地理信息系统获得城市空间拓展准确信息,在此基础上构建模型对不同时空尺度的城市空间拓展过程加以模拟,并对城市空间拓展引起的生态环境效应加以分析,以此开展相关理论研究工作。针对目前研究工作特点和存在的不足,本文认为,今后中国城市空间拓展的主要发展方向应是借助日臻完善的研究手段和方法,深入开展城市空间拓展合理性评价,构建定量化动态模型,协调城市空间用地的增量布局与存量调整,并加强与国外城市空间拓展的比较研究。 相似文献
19.
Waldemar Cudny 《Norsk geografisk tidsskrift. Norwegian journal of geography》2016,70(5):276-291
The main aim of the article is to describe the phenomenon of the festival marketplace using the example of Manufaktura in ?ód?, which is a post-socialist Polish city. The article presents the concept, the development of large shopping centres, and the main socio-economic and spatial urban transformations that accompanied the creation of Manufaktura. The research methods included analysis of Internet and statistical data, participant observation, one in-depth interview, and a large number of semi-structured interviews. The results of the study confirm that Manufaktura – a large arts centre, shopping mall, and leisure complex built in the revitalized part of a former textile factory – represents most of the festival marketplace features. Additionally, revitalization reflects urban transformation processes in post-socialist cities, such as functional transformation, deindustrialization, internationalization of trade, privatization, or changes in consumer behaviour. The author concludes that Manufaktura is now an important part of the revitalized urban geographical space in ?ód?. It performs essential urban functions, not only commercial but also cultural and tourism-related. 相似文献
20.
Sunyong Eom Tsutomu Suzuki Myeong-Hun Lee 《International journal of geographical information science》2020,34(5):899-923
ABSTRACT Land-Use Mix (LUM) refers to the strategy of integrating complementary functions within a building or area. While LUM has become a dominant approach in urban planning, its actual benefits and vision for spatial planning remain unclear. To clarify this issue, this study discerns the spatial features of land-use patterns depending on the compatibilities among land-use categories. Accordingly, this study introduces three LUM measures – adjacency, intensity, and proximity – to identify differences in the spatial distribution of land-use categories. Based on these measures, a land-use allocation model is developed to specify spatial patterns satisfying the given compatibilities. This model is tested by applying the concept of the neighborhood unit on a case study of normative land-use patterns subject to specified compatibilities. The results describe spatial features of four compatibility sets, including a set exhibiting a compatibility conflict between the same land-use pair and LUM measures when, for example, a given land-use pair is compatible in terms of intensity but incompatible in terms of proximity. Understanding the spatial features of a normative land-use pattern that satisfies various possible compatibilities will facilitate the incorporation of the LUM approach into local planning guidance and zoning ordinances. 相似文献