安徽省大别山区旅游扶贫效率时空格局演化及影响机理

采用DEA模型对安徽省大别山区旅游扶贫效率的综合测度影响因素分析可知:安徽省大别山区旅游扶贫效率处于中等偏低水平,呈现波动上升的趋势,主要受规模效率驱动;旅游扶贫规模效率和旅游扶贫综合效率的空间分异特征较为类似,均呈现出区域中间高南北低的分布,旅游扶贫纯技术效率高值区呈现出由区域北部和南部片状集中分布逐渐向四周不断分散分布的演化态势;投入规模、人力支持水平、可达性水平、信息化水平对大别山区旅游扶贫效率产生正向影响,且影响强弱呈现为信息化水平>人力支持>可达性水平>投入规模。     

英汉空间隐喻相似性之认知对比分析——以英语up/down和汉语的上/下为例有

认知语言学认为隐喻是一种认知活动,是通过语言表现出来的一种思维方式。空间隐喻是认知隐喻中的重要组成部分,是很多抽象概念构建的基础。汉语中表示空间的＂上＂和＂下＂与英语中相对应的＂up＂和＂down＂的隐喻拓展意义对比分析揭示了英汉两种语言空间隐喻在认知模式上的相似性。     

上古汉语空间范畴的语法化方式

句法和语义必须相互结合,相互渗透,这样才能把语法研究引向深入。本文即以上古汉语为分析材料,从空间范畴意义入手,讨论上古汉语空间范畴意义的语法化方式,突出了语义在语法研究中的重要性。     

Mobility of ‘the defeated’: internal migration and social advancement in a post-civil war society

The article examines the relationship between the movement across space and social mobility by analyzing the conditions for internal migration in Spain during the years of the Franco regime. Specifically it reflects on the ways in which migration from the countryside into self-constructed shantytowns in the greater Madrid area was perceived by migrants themselves, and on the strategies that enabled migration to be carried through. By focusing on the challenges that internal migration posed to the spatial practices and mobility regimes of the dictatorship, the article also explores the relationship between spatial movement, social mobility and political repression within the context of a nationalist dictatorship.     

The local geographies of welfare in Tunisia: Does neighbourhood matter?*

Amara M, Ayadi M. The local geographies of welfare in Tunisia: Does neighbourhood matter? The aim of this article is to show that spatial analysis techniques outperform non‐spatial statistical counterparts for understanding the geographic determinants of welfare and poverty in Tunisia. First, an Exploratory Spatial Data Analysis, based on a Geographical Information System, was conducted to visualise the local spatial structure of welfare. Second, a spatial autoregressive (SAR) model and a geographically weighted regression (GWR) model, respectively, were used to deal with both spatial autocorrelations and unobserved spatial heterogeneity of households' behaviours. Spatial and non‐spatial models were compared according to their predictive performances. Results of this case study confirm that SAR and GWR spatial models are preferable to the traditional non‐spatial regression model and that they give a better approximation of the Tunisian poverty map.     

Causes of Increasing Ages at Marriage: An International Regression Study

Abstract

The mean age at marriage is increasing in nearly all regions of the world, with the gender age difference at marriage tending to decrease. Five hypotheses for these trends (economic modernization, supply and demand, social/cultural/religious influences, healthcare quality, and longevity risk sharing) are tested through cross-country regression analyses of the timing and prevalence of marriage, using 40 explanatory variables from 156 countries. The dependent variables are female mean age at marriage, gender age difference, and proportion of females married by age 20-24. Ample evidence of the impact of economic modernization and education is found. The influence of cultural beliefs is evidenced by the presence of religious variables in several selected regression equations.     

Assessment of Catastrophic Risk Using Bayesian Network Constructed from Domain Knowledge and Spatial Data

Prediction of natural disasters and their consequences is difficult due to the uncertainties and complexity of multiple related factors. This article explores the use of domain knowledge and spatial data to construct a Bayesian network (BN) that facilitates the integration of multiple factors and quantification of uncertainties within a consistent system for assessment of catastrophic risk. A BN is chosen due to its advantages such as merging multiple source data and domain knowledge in a consistent system, learning from the data set, inference with missing data, and support of decision making. A key advantage of our methodology is the combination of domain knowledge and learning from the data to construct a robust network. To improve the assessment, we employ spatial data analysis and data mining to extend the training data set, select risk factors, and fine‐tune the network. Another major advantage of our methodology is the integration of an optimal discretizer, informative feature selector, learners, search strategies for local topologies, and Bayesian model averaging. These techniques all contribute to a robust prediction of risk probability of natural disasters. In the flood disaster's study, our methodology achieved a better probability of detection of high risk, a better precision, and a better ROC area compared with other methods, using both cross‐validation and prediction of catastrophic risk based on historic data. Our results suggest that BN is a good alternative for risk assessment and as a decision tool in the management of catastrophic risk.     

Bayesian discrete latent spatial modeling of crack initiation in orthopaedic hip replacement bone cement

In this paper, we propose a spatial model for the initiation of cracks in the bone cement of hip replacement specimens. The failure of hip replacements can be attributed mainly to damage accumulation, consisting of crack initiation and growth, occurring in the cement mantle that interlocks the hip prosthesis and the femur bone. Since crack initiation is an important factor in determining the lifetime of a replacement, the understanding of the reasons for crack initiation is vital in attempting to prolong the life of the hip replacement. The data consist of crack location coordinates from five laboratory experimental models, together with stress measurements. It is known that stress plays a major role in the initiation of cracks, and it is also known that other unmeasurable factors such as air bubbles (pores) in the cement mantle are also influential. We propose an identity-link spatial Poisson regression model for the counts of cracks in discrete regions of the cement, incorporating both the measured (stress), and through a latent process, any unmeasured factors (possibly pores) that may be influential. All analysis is carried out in a Bayesian framework, allowing for the inclusion of prior information obtained from engineers, and parameter estimation for the model is done via Markov chain Monte Carlo techniques.     

空间格义背后的举意与旁观——《日用家当》中“家宅”的心理几何图解

在爱丽丝·沃克的短篇小说《日用家当》中,家宅被赋予了一定的格义属性,这可以被视为19世纪女性主义文学批评语境中的心理现象学介入。家宅格义背后的心理图解划清了个体＂生存空间＂的原型与流变,洋溢着深切的心理几何假设内涵。作者借助不同人物对于家宅的写实性解读,提供了一个富有曲面内涵的边缘记忆空间,揭示了主体的物我元一思想已然深植于家宅意象当中,并以拓扑图腾的同胚形式得以彰显。家宅的心理几何图解立体地刻画了个体在生存空间日渐缩限时的困顿与挣扎,更是直指个体守护本我世界时的一种精神重估,而这正是该部文学作品所隐含的原生代性旨归所在。     

RESEARCH NOTE Some evidence against the assumption that approval of family planning is associated with frequency of spouses' discussion of the subject

Much previous work on the relationship between respondent's reported frequency of discussion with spouse about family planning and correctness of reporting spouse's approval of family planning has led to the conclusion that discussion promotes approval. In this paper, data from the 1998 Kenya Demographic and Health Surveys are used to show that a focus on the relationship between frequency of discussion and correctness of reporting partner's disapproval of family planning leads to sceptical conclusions about the effects of discussion in improving knowledge of partner's attitude or in promoting approval.