关于地理国情监测职责分工的探讨

地理国情监测是新时期测绘地理信息部门对基础测绘工作的拓展和延伸,其跨行业、跨部门、跨学科、跨区域等特性,要求测绘地理信息部门必须完善各项工作机制,强化部门间横向合作、系统内纵向协作等机制建设,同时调动行业力量,全面配合地理国情监测的顺利开展。本文将在以往地理国情监测理论研究和实践的基础上,重点对监测、监督和监管3个阶段测绘地理信息部门及相关部门的任务分工和合作机制建设,各级测绘地理信息部门的职责分配和统筹规划、成果汇交与发布等协作机制建设,以及如何发挥企业在科技创新和地理国情监测任务实施方面的作用等开展一些初步分析和探索。     

地理信息隐私保护法律问题探析

地理信息市场化过程中存在隐私法律问题。本文以美国隐私保护法律体系为视角,分析美国与欧盟关于隐私法律保护法律模式的差异,研究安全港框架及相关原则对数据跨境流转的作用。通过比较法研究,旨在对我国地理信息市场化法律制度的构建有所启发。     

大数据环境下地理信息产业发展的几点思考

大数据背景下地理信息产业的发展有了新的驱动力,通过思考这种驱动力对产业发展可能产生的影响,分析指出了大数据在地理信息产业中的中心地位和重要价值,综述了大数据给地理信息产业的涵盖范围、关键技术和服务模式所带来的重大变革,探讨了大数据技术对于GIS传统技术优化升级的几个着力点,并剖析了大数据技术在地理信息产业的相关应用中所面临的制约因素。     

地理国情普查要素采集要求在生产自查中的应用

地理国情普查是一项重大的国情国力调查,应综合考虑各个行业的需求。本文结合地理国情普查内容及要求,对生产作业过程中自查内容及注意事项作出分析总结,进行指导讲解。     

An approach to catchment‐scale groundwater nitrate risk assessment from diffuse agricultural sources: a case study in the Upper Bann,Northern Ireland

DRASTIC has drawbacks in groundwater risk assessment that are important in guiding activities to prevention agricultural diffuse groundwater pollution. This paper presents an improved and GIS‐based D‐DRASTIC approach for groundwater nitrate risk assessment from diffuse agricultural sources based on DRASTIC. D‐DRASTIC considers the risk concept, nitrate loading, pollutant transport with runoff, depth to water, net recharge, aquifer media, soil media, topography, impact of the vadose zone media, and the hydraulic conductivity of the aquifer. D‐DRASTIC was developed within an ArcGIS environment and applied to the Upper Bann Catchment, Northern Ireland as a case study. D‐DRASTIC shows that ‘very high’ and ‘high’ zones of groundwater nitrate risk occupy 5% and 11% of the case study area, respectively. When considering groundwater pollution sources and pathways, the results using D‐DRASTIC are helpful in guiding the activities of groundwater pollution prevention at the catchment scale in the context of better implementation of the EU Water Framework Directive. Copyright © 2008 John Wiley & Sons, Ltd.     

论地理科学体系建设

本文在论述重建地理科学体系必要性的基础上,提出和重点阐述一个新的地理科学体系的框架和内容,并由此分析我国未来地理科学学科建设的战略重点。     

面向GIS专业的计算机图形学课程教学探讨

计算机图形学作为GIS专业基础课之一,对学生专业能力构成起夯实基础和促进应用的作用。文中在分析计算机图形学教学特点的基础上,结合自身实践,探讨基于以内容结合为导向,面向实践的GIS专业计算机图形学教学改革,并在实践中取得较好的教学效果。     

多核并行环境中矢量数据格式的转换算法

针对目前对VCT格式转换的并行算法研究较少的现状,该文以VCT向shapefile格式转换为例,探索多核并行环境中进行VCT格式向其他矢量数据格式快速转换的方法:在深入探索VCT与shapefile格式特点的基础上,通过构建索引、数据解析转换,完成由VCT向shapefile格式的转换;并设计出一种顾及负载均衡的数据划分方法,通过评估不同类型图层的复杂度实现不同类型矢量数据的均衡划分,实现了VCT向shapefile格式转换的并行算法。最后利用某地土地利用VCT文件进行算法测试,结果表明该算法转换结果正确,取得了良好的加速比,并基本达到负载均衡。     

Monitoring land changes in an urban area using satellite imagery,GIS and landscape metrics

Monitoring land changes is an important activity in landscape planning and resource management. In this study, we analyze urban land changes in Atlanta metropolitan area through the combined use of satellite imagery, geographic information systems (GIS), and landscape metrics. The study site is a fast-growing large metropolis in the United States, which contains a mosaic of complex landscape types. Our method consisted of two major components: remote sensing-based land classification and GIS-based land change analysis. Specifically, we adopted a stratified image classification strategy combined with a GIS-based spatial reclassification procedure to map land classes from Landsat Thematic Mapper (TM) scenes acquired in two different years. Then, we analyzed the spatial variation and expansion of urban land changes across the entire metropolitan area through post classification change detection and a variety of GIS-based operations. We further examined the size, pattern, and nature of land changes using landscape metrics to examine the size, pattern, and nature of land changes. This study has demonstrated the usefulness of integrating remote sensing with GIS and landscape metrics in land change analysis that allows the characterization of spatial patterns and helps reveal the underlying processes of urban land changes. Our results indicate a transition of urbanization patterns in the study site with a limited outward expansion despite the dominant suburbanization process.     

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.