Geographic Information Sciences最新文献_第9页

An Improved Approach to Automatic Recognition of Civil Infrastructure Objects 一种改进的民用基础设施目标自动识别方法

Geographic Information Sciences Pub Date : 2003-12-01 DOI: 10.1080/10824000309480591

Fengliang Xu, X. Niu, Rongxing Li

{"title":"An Improved Approach to Automatic Recognition of Civil Infrastructure Objects","authors":"Fengliang Xu, X. Niu, Rongxing Li","doi":"10.1080/10824000309480591","DOIUrl":"https://doi.org/10.1080/10824000309480591","url":null,"abstract":"Abstract Civil infrastructure objects are important elements in GIS applications. Due to the wide variety of object types, automatic recognition of infrastructure objects from imagery has been a challenging issue for the last two decades. Different approaches have been developed for recognition of buildings, one kind of infrastructure object most frequently dealt with in GIS. by defining and employing individual criteria. A Hopfield neural network can effectively combine different criteria in an overall network structure for a global optimization in finding object. In this paper we develop a holistic feature extraction approach including edge extraction, noise edge elimination by Gabor filters, contour extraction based on morphological operations, polygon simplification by local Hough transform, and building roof candidate selection using central contour sequence moment. In addition, shadows associated with buildings are extracted. This improved feature extraction approach greatly enhances the quality of recognition of objects, such as peaked-roofed and flat-roofed buildings, by a Hopfield neural network that accommodates similarity measures using the extracted features in a structured way. The achieved results demonstrate a promising approach for building recognition and can be extended to other infrastructure objects.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134629738","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: 2

Multi-media GIS: Analysis and Visualization of Spatio-Temporal and Multimedia Geographic Information 多媒体地理信息系统:时空与多媒体地理信息的分析与可视化

Geographic Information Sciences Pub Date : 2003-12-01 DOI: 10.1080/10824000309480592

Shunfu Hu

引用次数: 3

GIS Development and Its Impacts on Geo-Spatial Education in China 中国地理信息系统发展及其对地理空间教育的影响

Geographic Information Sciences Pub Date : 2003-12-01 DOI: 10.1080/10824000309480586

Jing Li, Yunhao Chen, Jun Chen, Wen Dou

引用次数: 1

A Multi-Granularity Approach for Adaptive Mass Vector Dataset Access and Transmission 一种多粒度自适应质量矢量数据集访问与传输方法

Geographic Information Sciences Pub Date : 2003-12-01 DOI: 10.1080/10824000309480585

Changxiu Cheng, F. Lu, Mingbo Zhang

引用次数: 5

State-of-the-Art and Future of Geographic Information Systems in Hong Kong 香港地理信息系统的现状及未来

Geographic Information Sciences Pub Date : 2003-12-01 DOI: 10.1080/10824000309480582

W. Shi

{"title":"State-of-the-Art and Future of Geographic Information Systems in Hong Kong","authors":"W. Shi","doi":"10.1080/10824000309480582","DOIUrl":"https://doi.org/10.1080/10824000309480582","url":null,"abstract":"Abstract This paper presents an overview and analysis of Geographical Information Systems (GIS) in Hong Kong, through last 15 years of development in the territory. GIS in Hong Kong will be summarized in the following aspects: fundamental GIS data for Hong Kong, GIS applications in Hong Kong governmental departments, GIS applications in private sectors, GIS research and education in Hong Kong, Hong Kong GIS Association, issues for the future GIS development in Hong Kong. GIS was first adopted by Hong Kong governmental departments such as, the Lands Department and others. Today, some 15 different local governmental departments have applied GIS to support their daily works. The fundamental GIS data have been captured and managed by Lands Department. In private sectors, GIS was firstly introduced in the area of automated mapping and facility management (AM/FM) by local utility companies, and this has been further extended to telecommunication, real estate, intelligent transport system and others. Since several universities in Hong Kong play the major role for GIS research development and education, this group of people are even very active in the international communities related to GIS. Hong Kong GIS Association plays a key role in promoting GIS in Hong Kong. Although GIS development and applications in Hong Kong are getting mature, there are still a number of issues that affects its further development of GIS, e.g., developing an urban-levelled spatial data infrastructure for Hong Kong, towards a professional GIS institute for GIS industry in Hong Kong, the recognition of GIS profession in the local community and others.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125744700","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

Applications of Spatial Interpolation for Climate Variables Based on Geostatistics: A Case Study in Gansu Province, China 基于地统计学的气候变量空间插值应用——以甘肃省为例

Geographic Information Sciences Pub Date : 2003-12-01 DOI: 10.1080/10824000309480590

Wenze Yue, Jianhua Xu, Hongjuan Liao, Lihua Xu

{"title":"Applications of Spatial Interpolation for Climate Variables Based on Geostatistics: A Case Study in Gansu Province, China","authors":"Wenze Yue, Jianhua Xu, Hongjuan Liao, Lihua Xu","doi":"10.1080/10824000309480590","DOIUrl":"https://doi.org/10.1080/10824000309480590","url":null,"abstract":"Abstract Based on reviewing the origin, development and basic principles of Geostatistics. this article mainly introduces two interpolation methods: Ordinary Kriging and Cokriging. As an optimal one among so many methods to spatial interpolation for climate variables is not available, the article discusses Geostatistics-based interpolation methods by using 30-year average precipitation and evaporation data in Gansu province from 1961 to 1990. According to different semivariogram theory models, we adopt Ordinary Kriging and Bivariate Cokriging interpolation methods, and compare research results. We draw the following conclusions: (1) Both 30-year average precipitation and evaporation present obvious gradient change on space, in a great range. But the former's is larger than the latter's. 30-year average precipitation decreases gradually from southeast to northwest, however, evaporation increases gradually from southeast to northwest. (2) According to semivariogram cloud plots and experiment variance minimum principle, we select suitable theoretical semivariogram models based on Geostatistics interpolation, which can simulate the spatially continuous distribution patterns of the special regionalized variables in a better way. Compared with Ordinary Kriging, Cokriging considers the influence of altitude on precipitation and evaporation and thereby has higher interpolation accuracy. (3) Though Geostatistics methods can better reflect the general space patterns of climate variables, their interpolations precision is not high as we expect and can be improved further.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123064904","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: 4

Cloud Model-Based Spatial Data Mining 基于云模型的空间数据挖掘

Geographic Information Sciences Pub Date : 2003-12-01 DOI: 10.1080/10824000309480589

Shuliang Wang, D. Li, W. Shi, Deyi Li, Xinzhou Wang

{"title":"Cloud Model-Based Spatial Data Mining","authors":"Shuliang Wang, D. Li, W. Shi, Deyi Li, Xinzhou Wang","doi":"10.1080/10824000309480589","DOIUrl":"https://doi.org/10.1080/10824000309480589","url":null,"abstract":"Abstract In spatial data mining, we have to deal with uncertainties in data and mining process. The nature of the uncertainties can be, for example, fuzziness and randomness. This paper proposed a cloud model-based data mining method that may simultaneously deal with randomness and fuzziness. First, cloud model is presented, which is described by using three numerical characteristics. Ex, En and He. Furthermore, three visualization methods on cloud model are further proposed, which can be produced by the cloud generators. Second, cloud model-based knowledge discovery is further developed. In cloud model context, spatial data preprocessing pays more attention to data cleaning, transform between qualitative concepts and quantitative data, data reduction, and data discretization. Spatial uncertain reasoning is in the form of linguistic antecedents and linguistic consequences, both of which are implemented by X-conditional and Y-conditional cloud generators. Spatial knowledge is represented with qualitative concepts from large amounts of data, and also the cloud model. Finally, as an example, these methods are applied to mine Baota landslide monitoring database. The experimental results show that the cloud model can not only reduce the task complexity, and improve the operational efficiency, but also enhance the comprehension of the discovered knowledge.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"22 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129036088","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: 53

GIS-Based Spatial Allocation Analysis of Population Growth in Regional Water Resource Planning 基于gis的区域水资源规划人口增长空间配置分析

Geographic Information Sciences Pub Date : 2002-12-01 DOI: 10.1080/10824000209480578

F. Zhan

引用次数: 1

GIS and RS Application Study on Urban Dynamic Development GIS与RS在城市动态发展中的应用研究

Geographic Information Sciences Pub Date : 2002-12-01 DOI: 10.1080/10824000209480580

A. Dang, Huizhen Shi, Qizhi Mao

引用次数: 3

An Integrated Approach for Evaluating Adaptation Options to Reduce Climate Change Vulnerability in Coastal Region of the Georgia Basin 乔治亚盆地沿海地区减少气候变化脆弱性适应方案评估的综合方法

Geographic Information Sciences Pub Date : 2002-12-01 DOI: 10.1080/10824000209480577

Y. Yin, Yuefei Huang, Gordon H. Huang

{"title":"An Integrated Approach for Evaluating Adaptation Options to Reduce Climate Change Vulnerability in Coastal Region of the Georgia Basin","authors":"Y. Yin, Yuefei Huang, Gordon H. Huang","doi":"10.1080/10824000209480577","DOIUrl":"https://doi.org/10.1080/10824000209480577","url":null,"abstract":"Abstract This paper presents an integrated approach that integrates climate change impact assessment/vulnerability identification, adaptation option evaluation, and multi-stakeholder participation. The integrated approach was applied in the Georgia Basin (GB) for identifying desirable adaptation options to reduce climate change vulnerabilities. Different computer-based and non-model based methods were adopted to form the integrated approach. These tools include environmental simulation modeling, geographical information system (GIS), internet multi-stakeholder consultation, and multi-criteria decision making (MCDM). The research started with the identification of vulnerabilities of ecosystems, coastal areas, and economic sectors to climate change. This was followed by an online survey and interviews that allow stakeholders to conduct a multi-criteria evaluation of adaptation options. The analytic hierarchy process (AHP), an MCDM technique, was adopted to develop an adaptation evaluation tool to identify the priorities of sustainability goals/indicators and to rank desirability of adaptation options. The case study in the Georgia Basin of Canada provides some articulation on how the integrated approach can provide an effective means for the synthetic evaluation of the general desirability levels of a set of adaptation options through a multi-criteria and multi-stakeholder decision making process. Thus, the study contributes to the science on adaptation option evaluation. While the case study identified and evaluated a number of adaptation options to deal with potential vulnerabilities to climate change in several key sectors in the region, this paper focuses on sea level rise (SLR) impacts and adaptation options for the coastal region management. The completed research results of the case study are described in the final report submitted to Climate Change Action Fund of Canadian Government (Yin, 2001).","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125183478","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: 4