遥感和GIS技术在全球海面风速分析中的应用

将遥感技术和地理信息系统（GIS）技术相结合，建立了一个基于TOPEX卫星的全球海面风速分析的海洋地理信息系统（MGIS）。阐述了全球海面风速分析模型的建立方法，定义了描述风场特征的相关参数，介绍了全球海面风速海洋地理信息系统的结构、功能和工作流程，另外，对系统的3个应用实例进行了地学分析。     

东西方文化差异的地理透视与整合分析

本文从比较文化学与文化地理学的角度，较全面、系统地分析比较了东西文化的诸多差异，侧重剖析了东西方文化差异的地理原因，评介了“东化”与“西化”之争的基本观点，说明了东西方文化的关系及其发展前景。     

陈传康的学术生命路径和学术树

通过扩展传统的生命路径 ( life path)概念、并建立学术树 ( discipline tree)概念 ,研究已故当代中国著名地理学家、旅游学家陈传康教授的学术史。在统计了陈传康教授全部 1 2 1 2种次的学术著述的基础上 ,首先在时间纬度上建立了学术生命路径曲线、系统式和时序式生命路径表 ,用以统计分析陈传康教授的学术论著种次的分布情况和变迁过程 ,一方面反映出著作量随中国当代历史的脉动而出现的起伏变化 ,另一方面通过观察时间轴上这些著述的学科点的分布变化 ,不仅体现 2 0世纪 5 0年代～ 90年代陈传康学术偏好的转徙 ,也反映出 5 0年间中国地理学整体的变化轨迹。利用学术树的概念 ,统计分析陈传康一生构筑的个人学术体系 ,最终勾勒出其一生经营的学术群落的整体景观。     

中国土地利用时空特征分析

在遥感技术与GIS技术的支持下，对中国近5年来土地利用的时间动态特征和空间动态特征进行了定量分析。具体表现为通过数学建模，利用土地利用动态度模型、土地利用程度模型、垦殖指数模型等对土地利用时空特征进行了分析。研究结果表明：5年间中国土地利用类型发生变化比较大的区域主要分布在东部和北部地区，特别是东北部地区土地利用类型变化比较剧烈，而西部变化相对缓慢；土地利用各类型中面积增加的有耕地、水域、建设用地和未利用地，而林地、草地面积减少；耕地增加的区域位于东北部地区，特别是黑龙江省耕地面积增加最多；林草地以及未利用地的面积变化主要发生在新疆、内蒙和黑龙江等地区，其它地区变化幅度相对较小。     

THE CLASSROOM AS THE FIELD FOR STUDYING GEOGRAPHICAL EDUCATION

ABSTRACT. Recent attempts by U.S. politicians to reform the nation'sschools have shifted the goal of education to school accountability as assessed in standardized testing. Such an emphasis undermines geographical education in schools because of geography'ssuperficial representation in tests and in the social studies curriculum. Fieldwork done in the classroom can point to means of circumventing this dilemma. Collaborative fieldwork between college faculty members and public‐school teachers has the potential for adding geography to the social studies curriculum in a substantive way. Work conducted jointly by Hartwick College and the Oneonta (New York) Middle School exemplifies such a partnership.     

峨嵋山地区块体图的计算机绘制

本文介绍了用计算机辅助设计软件AUTOCAD与三维动画软件3DMAX来绘制峨嵋山地区块体图的方法，以此为例子讲述了将地形图改画面三维图的具体操作步骤，并进一步论述了用计算机绘制块体图的方法有着广泛的应用及其实用价值。     

对“3S”集成技术的一些认识

本文从遥感，地理信息系统和全球定位系统的产生与发展过程，论述了它们走向集成化的必然趋势，说明了“３Ｓ”信息集成技术的涵意；介绍了它的应用领域，最后提出了作者对发展我国以“３Ｓ”集成技术为支撑的地理信息产业应采取的对策的建议。     

Tempos of Elderly Age and Geographical Concentration*

This paper presents a method to measure two types of tempos: 1) the tempo of elderly age concentration, the rate of change in the elderly proportion in a region; and 2) the tempo of elderly geographical concentration, the rate of change in a region's share of the national elderly population. The two measurements are applied to historical data for the United States. The results reveal that both tempos vary spatially and temporally. Relative tempos are also introduced to compare the indices between different age groups and regions.     

An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data

ABSTRACT

Spatial heterogeneity represents a general characteristic of the inequitable distributions of spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity among various strata of explanatory variables by comparing the spatial variance within strata and that between strata. The geographical detector model is a widely used technique for spatial stratified heterogeneity analysis. In the model, the spatial data discretization and spatial scale effects are fundamental issues, but they are generally determined by experience and lack accurate quantitative assessment in previous studies. To address this issue, an optimal parameters-based geographical detector (OPGD) model is developed for more accurate spatial analysis. The optimal parameters are explored as the best combination of spatial data discretization method, break number of spatial strata, and spatial scale parameter. In the study, the OPGD model is applied in three example cases with different types of spatial data, including spatial raster data, spatial point or areal statistical data, and spatial line segment data, and an R “GD” package is developed for computation. Results show that the parameter optimization process can further extract geographical characteristics and information contained in spatial explanatory variables in the geographical detector model. The improved model can be flexibly applied in both global and regional spatial analysis for various types of spatial data. Thus, the OPGD model can improve the overall capacity of spatial stratified heterogeneity analysis. The OPGD model and its diverse solutions can contribute to more accurate, flexible, and efficient spatial heterogeneity analysis, such as spatial patterns investigation and spatial factor explorations.     

Matrix expression of thermal radiative characteristics for an open complex

The directionality of thermal radiance of a homogeneous isothermal non-black plane surface is totally decided by its directional emissivity, which depends on the complex dielectric constant and roughness of surface. It can be expressed by This paper proves that it is necessary to express emissivity by a matrix when a target becomes an inhomogeneous non-isothermal open complex with complicated inner geometric structure. The matrix describes the inner radiative interaction among components accurately and also expresses its thermal radiative directionality and structural characteristics completely. Advantages of matrix expression are as follows: first, the physical mechanics of effective emissivity of an open complex is described in a simple and perfect way; second, it becomes easy to understand the principle and method to retrieve components temperature from multi-angle thermal remotely sensed data; and third, the differences of directionalities between an open complex and a homogeneous isothermal non-black plane body are expressed by just using an effective emissivity matrix instead of an emissivity vector. Formula in classic physics is only the special case of matrix expression; therefore, the matrix is a universal unconditional expression to describe the directionality of thermal radiance.