出入西安的美加游客空间转移模式研究

通过对出入西安美加游客的实地调查,利用计算机软件建立数据库进行资料统计分析,探讨西安与其它旅游热点城市之间美加游客空间转移模式及其影响因素,提出美加旅游市场的几点营销策略。     

阶层流动:美甲师的空间策略与身份协商

本文以广州中高端美甲店为案例地,采用质性研究方法,探讨美甲师的职业特性对其阶层与身份的建构与重构,以及其在不同空间转换下所进行的身份协商与阶层流动。研究发现：①在工作空间中,美甲师通过物质装饰刺激、身体消费规训以及与顾客的人际互动,激发了对城市高阶层的窥视欲望与现象模仿,实现了具化的阶层想象;②在城市空间中,美甲师通过身体与符号两个方面的消费\"示同\",无法实现身份重构与阶层流动,迫使她们采取\"返回来源地\"的空间策略;③在来源地空间中,美甲师通过展演\"城市人\"的日常消费、创业与改变居住地三方面的消费\"示异\",实现自我身份的转变与阶层跨越。研究拓展了阶层流动与女性地理学的跨学科研究视野。     

World Geography: Organizational and Teaching Strategies

Teaching students to develop an appreciation and understanding of World Geography is a difficult task. This article presents a number of approaches to design effective teaching methods and strategies to stimulate student learning and to develop spatial interconnections. A suggested framework for organization and study of geographic regions of the world is suggested in the article. Atlas exercises, written assignments, course objectives, and seminar projects are designed to improve the understanding of geographic relationships and spatial concepts in World Geography.     

基于模糊关系识别的多要素空间离散化方法——以江苏阜宁人口与经济分析为例

社会、经济要素的空间离散化是精细化县级主体功能区划的重要需求,本文提出了一种基于模糊关系识别的空间数据离散化方法。该方法利用广义权距离实现对专家知识与多系统分层要素的综合集成,并通过建立待离散化要素与其影响指标的模糊关系识别模型,获得空间离散化权重。以2009年江苏省阜宁县人口、GDP以及经济发展水平的空间离散化为例进行实例分析。结果显示,本文提出的空间离散化方法具有较好的准确性与可信度,可较好揭示各影响要素对待离散要素的空间影响。     

GPS-based measurement of geographic spillovers in tourism – example of Polish districts

The agglomeration phenomenon in tourism often spreads beyond the borders of territorial units what is referred to as geographic spillovers. However, the measurement of spatial concentration of tourism demand and economic activity is usually based on statistics collected within regional administrative boundaries and omits the spatial interdependency between neighboring regions. Recognition of such spatial interdependency in the standard procedure to define neighborhood relies on the distance between geometric means (centroids) of territorial units which, however, rarely reflects real ‘centers’ of tourism agglomerations and leads to errors and biased results. Hence, we propose to modify the measures of the neighborhood with the use of GPS coordinates of tourism firms and attractions in order to designate their regional central tendencies and thus to correct (shift in space) localization of centroids of territorial units. We test the usefulness of the new approach to obtain a more precise measurement of spatial concentration when tourism spills over beyond the boundaries of territorial units using the example of Polish districts. We employ the exploratory spatial data analysis (spatial statistics) and spatial regression models – to assess the difference between using traditional centroids and GPS coordinates in defining neighborhood and determining spillover effects in regional analysis. Furthermore we apply the new method into the model of tourism potential in order to identify spillover effects in Polish regions. We use the data collected by Central Statistical Office (tourists staying overnight in 379 districts in 2014) and by Polish Tourist Organization (14,390 GPS coordinates of individual entities: tourism firms and attractions). The neighborhood determined with the use of GPS coordinates to measure the distance between centers of tourism agglomerations eliminates the dependence of the results on the administrative boundaries – but only to some degree. The challenge is to identify tourism agglomeration phenomenon as such, based on the mobility of tourists in space.