Geographic Information Sciences最新文献_第4页

Invitation to the ISPRS 2008 Beijing 邀请参加2008北京ISPRS会议

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480625

Chen Jun

引用次数: 0

Spatial Web Portal for Building Spatial Data Infrastructure 构建空间数据基础设施的空间门户网站

Geographic Information Sciences Pub Date : 2006-06-01 DOI: 10.1080/10824000609480616

C. Yang, Ying Cao, John D. Evans, M. Kafatos, M. Bambacus

引用次数: 12

Dynamic Data Retrieval and Distance Decay of Triangulated Irregular Network(TIN) in Three Dimensional Visualizations 三维可视化中不规则三角网的动态数据检索和距离衰减

Geographic Information Sciences Pub Date : 2006-06-01 DOI: 10.1080/10824000609480613

Wenji Zhao, T. Tang, H. Gong, Fuzhou Duan, Ying Mo

引用次数: 2

A Web-based Survey on Digital Elevation Models 基于网络的数字高程模型调查

Geographic Information Sciences Pub Date : 2006-06-01 DOI: 10.1080/10824000609480615

Mandla V. Ravibabu, K. Jain

引用次数: 3

Susceptibility and Infection Risk of Schistosomiasis Disease 血吸虫病的易感性和感染风险

Geographic Information Sciences Pub Date : 2006-06-01 DOI: 10.1080/10824000609480617

A. Zhao, S. Bao, P. Gong

{"title":"Susceptibility and Infection Risk of Schistosomiasis Disease","authors":"A. Zhao, S. Bao, P. Gong","doi":"10.1080/10824000609480617","DOIUrl":"https://doi.org/10.1080/10824000609480617","url":null,"abstract":"Abstract The environment of schistosomiasis epidemic areas in China is complex with various forms of geomorphologies. The spatial distribution of schistosome (Schistosoma japonicum) and parasitic hosts is random. It is often difficult to eradicate snails(Oncomelania snails) and cercaria, and to avoid interactions with schistosomiasis-susceptible areas for livestock and humans. Rapid, efficient and timely determination of schistosomiasis-susceptible area holds significant importance. This paper first introduces the initial origin and various definitions of schistosomiasis-susceptible area. We present a new definition according to the key parameters that influence the epidemic and transmission of schistosomiasis. Secondly five study aspects of schistosomiasis-susceptible area are summarized in light of the factors that have influences on the formation of schistosomiasis- susceptible area. Problems, drawbacks and causes in different concepts and study methods of schistosomiasis-susceptible area are introduced. Perspectives of historical medical-geography study of schistosomiasis-susceptible area are reviewed. We present spatial simulation and modeling approaches that are based on remote sensing and geographic information systems(GIS) and data-driven models and knowledge-driven model. They represent an important area of new applications of remote sensing and GIS in health related problem solving. Finally, we suggest to import the concepts in hazard/risk analysis into the schistosmiasis epidemiology. This allowed us to put forward two new concepts: susceptibility level and infection risk, for which a primary calculation framework and internal relation is established. We hope to use them as the base for future studies of chistosomiasis-susceptible areas.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122771213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping the Vulnerability to Potential Toxic Substance Releases from Industrial Facilities under Emergency Situations: A Case Study of Galveston, Texas 测绘工业设施在紧急情况下对潜在有毒物质释放的脆弱性:德克萨斯州加尔维斯顿的案例研究

Geographic Information Sciences Pub Date : 2006-06-01 DOI: 10.1080/10824000609480614

Xuwei Chen, F. Zhan

引用次数: 2

An Interface between the Agricultural Non-Point Source (AGNPS) Pollution Model and the ERDAS Imagine Geographic Information System (GIS) 农业非点源污染模型与ERDAS Imagine地理信息系统(GIS)的接口

Geographic Information Sciences Pub Date : 2006-06-01 DOI: 10.1080/10824000609480612

Michael P. Finn, E. L. Usery, D. Scheidt, Gregory M. Jaromack, Timothy D. Krupinski

{"title":"An Interface between the Agricultural Non-Point Source (AGNPS) Pollution Model and the ERDAS Imagine Geographic Information System (GIS)","authors":"Michael P. Finn, E. L. Usery, D. Scheidt, Gregory M. Jaromack, Timothy D. Krupinski","doi":"10.1080/10824000609480612","DOIUrl":"https://doi.org/10.1080/10824000609480612","url":null,"abstract":"Abstract The U.S. Department of Agriculture developed the Agricultural Non-Point Source (AGNPS) pollution model. The AGNPS pollution model simulates the behavior of runoff, sediment, and nutrient transport from watersheds that have agriculture as their prime use. This model has been used extensively by scientists conducting hydrologic or water quality analyses using computer modeling in an attempt to further understand the complex problem of managing non-point sources of pollution in a watershed hydrology domain. A difficulty with AGNPS is creating and formatting all of the data necessary to execute the model to conduct landscape modeling and watershed analyses. A unique Windows-based program, the AGNPS Data Generator (ADGen), has been developed to simplify the task of preparing and creating the input for AGNPS through an interface with ERDAS Imagine (a Leica Geosystems product). Because of the complexity and quantity of the input required and the nature of the output text file produced by AGNPS, ADGen is a helpful tool for the researcher who is trying to analyze non-point source pollution.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128613284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

GIS-Based Spatial Analysis of Tai Place Names in Southern China: An Exploratory Study of Methodology 基于gis的南方太古地名空间分析——方法论的探索性研究

Geographic Information Sciences Pub Date : 2006-06-01 DOI: 10.1080/10824000609480611

Fahui Wang, John Hartmann, W. Luo, Pingwen Huang

{"title":"GIS-Based Spatial Analysis of Tai Place Names in Southern China: An Exploratory Study of Methodology","authors":"Fahui Wang, John Hartmann, W. Luo, Pingwen Huang","doi":"10.1080/10824000609480611","DOIUrl":"https://doi.org/10.1080/10824000609480611","url":null,"abstract":"Abstract This research is part of an ongoing larger project dealing with the historical origins of the Tai in southern China and Southeast Asia. The sinification of ethnic minorities, such as the Tai, has been a long and ongoing historical process in China. One indication of historical change is reflected in geographical place names over time. Many older Tai names can be recognized because they are named after geographical or other physical features in Tai, such as “rice field”, “village”, “mouth of a river”, “mountain”, “basin”, etc. On the other hand, many other older Tai place names have been obliterated or modified in the process of sinification. The objective of the larger project is to reconstruct the historical past settlements of the Tai from place names. This research is an exploratory study demonstrating how modern GIS and spatial analysis techniques can benefit researchers in historical-linguistic-cultural studies who have been less exposed to them. In particular, GIS-based spatial interpolation and clustering methods are used to map the spatial patterns and identify the concentrations of Tai place names; GIS overlays are used to define some spatial variables, which are then fed into a logistic regression in attempt to explain the spatial patterns.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128804656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Two Computation Methods for Detecting Anisotropy in Image Texture 图像纹理各向异性检测的两种计算方法

Geographic Information Sciences Pub Date : 2005-12-01 DOI: 10.1080/10824000509480604

Wanxiao Sun, Anaz Zubair Kolappal, Peng Gong

引用次数: 5

Land Degradation in the Heihe River Basin in Relation to Plant Growth Conditions 黑河流域土地退化与植物生长条件的关系

Geographic Information Sciences Pub Date : 2005-12-01 DOI: 10.1080/10824000509480610

F. Hui, Yongyuan Yin, J. Qi, P. Gong

引用次数: 2