The role and value of local knowledge in Jamaican agriculture: adaptation and change in small-scale farming

Local knowledge has played an active role in the lives of rural communities in virtually every part of the world. In Jamaica, traditional cropping systems based on local informal knowledge have been practiced since the days of slavery and play a vital role in meeting food security. Yet, some negative attitudes remain about the legitimacy and relevance of small-scale farmers' local and traditional knowledge. This paper discusses some conceptual and empirical issues related to the application of local knowledge among small-scale food farmers in central Jamaica. The paper argues that contextually speaking, local and traditional knowledge is valuable, adaptable and necessary in coping with risk and uncertainty in a changing world, while cautioning against a misguided notion of traditional knowledge as a panacea to all the ills of local agriculture.     

Awkward geographies: Spatializing academic responsibility, encountering Sri Lanka

This paper responds to recent postcolonial geographical scholarship that sets forth transformative agendas in order to create more cosmopolitan theoretical projects within the discipline. For many geographers the challenges they face are located within not only their own disciplinary parameters, but also those of other specific research communities within which their work situates them. By bringing geography and area studies into productive conversation, this paper explores the tensions between negotiating one's academic voice, position and responsibility within geography as well as within a specific area studies community. More specifically, as a UK-based geographer I reflect on some of my own fairly unremarkable, yet extremely awkward, encounters during the course of scholarly praxis in Sri Lanka in order to raise questions over the spatialities of responsibility and political engagement in such academic praxis. I seek to theorize the chasms that open in such awkward encounters between notionally situated 'local' and 'foreign' scholars respectively and, in particular, develop ways of engaging and reorienting those chasms in ways that might enable the production of theoretically rich, yet richly contextualized postcolonial knowledges committed to the site of one's scholarly praxis – not just to the advancement of a more cosmopolitan theoretical project within geography.     

论防震减灾科普宣传与培训教育工作

文章从如何做好防震减灾科普知识的宣传与培训教育工作,提高群众在地震发生时的自救、互救能力和抢险救灾能力等方面进行了论述,并提出了相应的想法和建议。对切实提高社会公众防灾减灾的能力、普及防震减灾知识有一定的参考价值。     

The Spatial Characteristics of a Line and Their Application to Line Simplification

This paper discusses the spatial knowledge related to a line,and the characteristic points of lines is detected.According to the requirements of line generalization,new algorithms for identifying characteristic line points are presented.These characteristic points are used to improve the algorithms of line generalization.An algorithm for identifying bends is shown.In this paper,improved algorithms based on those by Douglas-Peucker,Visvalingam and Whyatt are shown.In this test,the progressive process of line generalization is emphasized.     

基于语义网络的知识表示的形式转换及推理

介绍了基于语义网络的知识表示，并利用基于知识的方法将SNetL的知表示转换为谓词逻辑的表现形式，将其用于推理。本文讨论知识表示的交互式输入方法及中间模型的设计。按SNetL语言的描述机制，确定了用户描述的控制、导航方式，并研究转换中的规则和算法。     

关于网络时代中国测绘科学研究院图书馆发展的思考

简要回顾了中国测绘科学研究院图书馆 40年的发展历史 ,该馆目前是国内颇具测绘专业特色 ,测绘文献馆藏资源最为丰富的专业性图书馆。随着网络时代的到来 ,中测院图书馆的发展面临着机遇 ,也面临着挑战。介绍了国家数字图书馆的建设情况及其意义。指出数字图书馆是测绘专业图书馆发展的必由之路 ,对建设测绘专业数字图书馆建设中面临的若干问题进行了一些探索性思考。     

数据库知识发现技术及其在测绘中的应用

详细介绍了数据挖掘与数据库中的知识发现 (KDD)技术 ,给出了KDD的定义以及KDD具体实现的3种处理模型 ,并从GIS和遥感影像分析两个方面论述了KDD技术在测绘中的应用     

遥感影像分类与地学知识发现的集成研究

遥感与地学之间存在着数据与知识上巨大的互补性。本文通过地面类型数据将遥感影像分类与地学知识发现结合起来:用遥感数据驱动发现地学知识,用地学知识解释、确认、检验遥感分类结果,并使用统计值和分布谱来定量化表达地学知识,形成一体化的遥感地学分类系统。     

基于知识的遥感图像分类方法的探讨

本文提出了一种基于知识的遥感图像土地利用分类法。包括知识的获取和表达 ,以及将知识用于土地利用分类。知识的获取和表达包括两方面。一是将原有的GIS土地利用数据与新的遥感图像配准、叠加、集成 ,并从中挖掘各类型的光谱知识。二是通过对研究区各土地利用类型变化特点进行分析研究 ,并从中得到原有各土地利用类型经数年后变成其它类型的可能性及其大小。并将其定量化表达成新遥感图像上各类型的先验性概率。在知识的应用和分类方面 ,分别对原土地利用各类型所对应的遥感图像进行知识的应用和处理 ,利用各自可能出现的类型及其各类型的先验性概率进行最大似然法分类。研究表明 ,该方法将原有的GIS数据和各种土地利用类型变化的先验性知识综合集成用于新的遥感图像的分类中。这不仅可以促进GIS数据更新的自动化 ,而且还可以得到比常规最大似然法高的分类精度。