共查询到19条相似文献，搜索用时 593 毫秒
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利用MAPX实现空间数据库与属性数据库的挂接 总被引：3，自引：0，他引：3
数据库是 GIS的基础 ,而空间数据库与属性数据库的挂接则是 GIS的要点。本文以渤海区域地质信息管理系统数据为例 ,阐述了基于 GIS的海洋地学管理信息系统中数据库的组织方法 ,包括空间数据库与属性数据库数据分类、分层方案 ,命名及编码规则。在此基础上 ,重点讨论了在 VisualBasic环境下运用 MAPX实现空间数据库与属性数据库的挂接方法。 相似文献
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区域海洋地质数据库建设纲要 总被引：5，自引：0，他引：5
区域海洋地质数据库是中国地质调查局基础数据库的一个重要组成部分，是实现地质调查基础性与公益性战略部署的依托。根据区域海洋地质数据库建设的目标与任务，在数据结构和实施步骤等方面进行了初步研究。区域海洋地质数据库及其管理信息系统适合采取基于Web系统的三层体系结构，在数据构成上亦分为区域海洋地质调查原始资料与成果资料，其中元数据库的建设对数据库的应用非常重要，用户可以通过元数据了解数据的存在性、适宜性、有效性等，确定数据的使用方法，因此，元数据库的建设应采用国际已经普遍认可的ISO/TC211发布的ISO19115空间元数据标准。 相似文献
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基于ORACLE的渤海工程地质数据库结构的分析和设计 总被引：1，自引：1，他引：1
从需求分析、概念结构设计、逻辑结构设计、物理结构设计以及安全性设计等几个方面，详细阐述了基于ORACLE的渤海工程地质数据库结构的设计方案。在分析过程中，采用面向对象的标准建模语吉UML对数据库的概念结构进行建模，利用面向对象的关系数据库ORACLE提供的强大的数据管理功能对数据的存储空间和安全性能进行分析和设计，使该数据库能够提供快速、高效的数据存储、维护和检索功能，满足渤海油田示范区信息系统的应用需求。 相似文献
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渤海生态红线划定的指标体系
与技术方法研究 总被引：10，自引：0，他引：10
在分析渤海生态环境特征基础上,依据生态红线划定目标,从“生态功能重要性、生态环境敏感性、环境灾害危险
性”三方面建立了渤海生态红线划定指标体系,并研究确定了生态红线划定的技术方法。在ArcGIS支持下,创建了渤海网
格空间属性数据库,采用层次分析法确定指标权重,运用叠加分析、空间分析等技术方法最终完成渤海生态红线划定,将渤
海划分为红线区、黄线区和绿线区,并进一步明确红线区内的生态保护重点与方向。结果表明：红线区占整个区域的18 %,
主要分布在大连市西北部海域、辽河口、黄河口等典型河口附近海域、滨州东北部海域及莱州湾、渤海西部沿岸、庙岛群岛
等地,这些区域主导生态功能和生态特征为珍稀濒危生物保护、湿地生态涵养及自然岸线灾害防护等。黄线区占整个区域的
14.7 %,主要分布在辽河三角洲外围海域、葫芦岛-秦皇岛-唐山沿岸海域及沧州东北部海域,其保护与管理方向为海洋环境
灾害防护及生态恢复与治理。绿线区占整个区域的67.3 %,分布在红线区、黄线区的外围。 相似文献
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Spatiotemporal information is currently among the most significant data used in Geographical Information Systems (GIS), especially for modeling dynamic coastal areas. As the design of the data model is the most fundamental issue for representing spatiotemporal data, this article focuses on the basic solution of how to represent spatial, attribute, and temporal information in an integrated form. By presenting a data model on relational databases, together with an object-oriented model for system development, it is expected to provide both theoretic and technical support to the spatial and temporal analyses in GISs for various applications. 相似文献
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《Ocean & Coastal Management》2003,46(6-7):615-634
Geo-information technology can be useful in Integrated Coastal Zone Management (ICZM). The benefits lie in the fact that geo-information technology can process large amounts of spatial data and can integrate different types and sources of data. The general aim of this paper is to demonstrate these benefits. First, we argue that spatial databases and GIS can be used and are present in most of the policy analysis phases of ICZM. Then, we illustrate this with a case study about seagrass beds in Banten Bay, Indonesia. The development of a spatial database, including seagrass maps is described. An overlay analysis shows that the largest and most dense fields of seagrass, which are also the most important as habitat for commercial fish species, are located near past and planned shoreline developments. This and similar type of spatial analyses are very important to support ICZM decision-making at the district level. A good spatial information infrastructure to collect data and make this data accessible is a pre-requisite. 相似文献
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随着现代海洋观测技术的发展,通过海岸海洋地貌调查获得的数据急剧增长。运用地理信息系统(GIS)将不同学科、不同来源、不同格式的数据进行集成管理、分析和表达已成为当前海岸海洋地貌研究的重点。系统介绍了GIS技术在海岸海洋地貌研究中新的方法体系,包括数据获取、数据处理、数据分析和数据表达四个部分,重点研究了GIS空间技术、海底地形建模和用三维可视化技术解译海洋地学,探索陆海交互作用中隐含信息的方法,并将其应用到沿海城市规划、海港选址、大陆架岛礁地貌环境研究的具体实例中,研究范围从陆到海涵盖整个海陆交互作用带,为海岸海洋社会发展、经济建设及外交权益提供科学基础和决策支持。通过上述方法体系与应用研究说明,以GIS为核心建立的多源地理空间信息平台使传统海岸海洋地貌研究的范围、内容及方法都发生了重大变化,但多源数据信息的精确解译和成功应用必须同时具有空间信息学和地貌学专家知识。 相似文献
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Biodiversity maps are an important component of ecosystem-based management and conservation. In the past, biodiversity maps were largely generated using patchy occurrence data from a range of data sources. Currently, substantial species occurrence data are readily available for large parts of the world and are accessible programmatically. Considering both the observed and expected changes in species distributions, and hence biodiversity, in response to present and future climate change, it is important to utilise readily available species occurrence databases to generate temporal and spatial biodiversity maps. In this study biodiversity maps were generated for three generic functional groups within the exclusive economic zone of South Africa: zooplankton, fishes and benthos. This was achieved by stacking individual species-distribution maps. Freely available occurrence data from the Ocean Biogeographic Information System (OBIS) were accessed for this purpose. Ensemble species-distribution modelling, employing five widely used statistical methods, was used to generate species-distribution maps for each functional group. The resulting spatial patterns of biodiversity for the three functional groups were largely in agreement with known patterns. The results of this study highlight the value of open-source occurrence and environmental data to generate biodiversity maps that can potentially be used in future spatial prioritisation or planning for management of marine areas and in environmental-change studies. 相似文献
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《African Journal of Marine Science》2013,35(4):467-480
This study integrates fisheries logbook data with observer and vessel monitoring system (VMS) data in order to assess the accuracy of reported data and to develop high-resolution spatial data suitable for use in local-scale marine spatial planning analyses. Spatial assessments were conducted on five nearshore commercial fisheries to provide baseline information to inform spatial management and conservation planning in Algoa Bay, South Africa. Clear spatial patterns in the distribution of fishing effort were apparent for the linefishery, chokka-squid and inshore demersal trawl sectors. Observer and VMS data confirmed the broad spatial distribution of resource-use patterns of logbook data. Combining these data sources allowed higher-resolution spatial indices of fishing effort to be developed, which are suitable for systematic spatial planning on a local scale and can be used for future spatial management and conservation. 相似文献
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This article evaluates different spatial interpolation methods for mapping submerged aquatic vegetation (SAV) in the Caloosahatchee Estuary, Florida. Data used for interpolation were collected by the Submersed Aquatic Vegetation Early Warning System (SAVEWS). The system consists of hydro-acoustic equipment, which operates from a slow-moving boat and records bottom depth, seagrass height, and seagrass density. This information is coupled with geographic location coordinates from a Global Positioning System (GPS) and stored together in digital files, representing SAV status at points along transect lines. Adequate spatial interpolation is needed to present the SAV information, including density, height, and water depth, as spatially continuous data for mapping and for comparison between seasons and years. Interpolation methods examined in this study include ordinary kriging with five different semivariance models combined with a variable number of neighboring points, the inverse distance weighted (IDW) method with different parameters, and the triangulated irregular network (TIN) method with linear and quintic options. Interpolation results were compared with survey data at selected calibration transects to examine the suitability of different interpolation methods. Suitability was quantified by the determination coefficient (R2) and the root-mean-square error (RMSE) between interpolated and observed values. The most suitable interpolation method was identified as the one yielding the highest R2 value and/or the lowest RMSE value. For different geographic conditions, seasons, and SAV parameters, different interpolation methods were recommended. This study identified that kriging was more suitable than the IDW or TIN method for spatial interpolation of all SAV parameters measured. It also suggested that transect data with irregular spatial distribution patterns such as SAV parameters are sensitive to interpolation methods. An inappropriate interpolation method such as TIN can lead to erroneous spatial representation of the SAV status. With a functional geographic system and adequate computing power, the evaluation and selection of interpolation methods can be automated and quantitative, leading to a more efficient and accurate decision. 相似文献
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This article evaluates different spatial interpolation methods for mapping submerged aquatic vegetation (SAV) in the Caloosahatchee Estuary, Florida. Data used for interpolation were collected by the Submersed Aquatic Vegetation Early Warning System (SAVEWS). The system consists of hydro-acoustic equipment, which operates from a slow-moving boat and records bottom depth, seagrass height, and seagrass density. This information is coupled with geographic location coordinates from a Global Positioning System (GPS) and stored together in digital files, representing SAV status at points along transect lines. Adequate spatial interpolation is needed to present the SAV information, including density, height, and water depth, as spatially continuous data for mapping and for comparison between seasons and years. Interpolation methods examined in this study include ordinary kriging with five different semivariance models combined with a variable number of neighboring points, the inverse distance weighted (IDW) method with different parameters, and the triangulated irregular network (TIN) method with linear and quintic options. Interpolation results were compared with survey data at selected calibration transects to examine the suitability of different interpolation methods. Suitability was quantified by the determination coefficient (R2) and the root-mean-square error (RMSE) between interpolated and observed values. The most suitable interpolation method was identified as the one yielding the highest R2 value and/or the lowest RMSE value. For different geographic conditions, seasons, and SAV parameters, different interpolation methods were recommended. This study identified that kriging was more suitable than the IDW or TIN method for spatial interpolation of all SAV parameters measured. It also suggested that transect data with irregular spatial distribution patterns such as SAV parameters are sensitive to interpolation methods. An inappropriate interpolation method such as TIN can lead to erroneous spatial representation of the SAV status. With a functional geographic system and adequate computing power, the evaluation and selection of interpolation methods can be automated and quantitative, leading to a more efficient and accurate decision. 相似文献
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全极化合成孔径雷达近岸风场反演研究 总被引：2，自引：2，他引：0
Coastal winds are strongly influenced by topology and discontinuity between land and sea surfaces. Wind assessment from remote sensing in such a complex area remains a challenge. Space-borne scatterometer does not provide any information about the coastal wind field, as the coarse spatial resolution hampers the radar backscattering. Synthetic aperture radar （SAR） with a high spatial resolution and all-weather observation abilities has become one of the most important tools for ocean wind retrieval, especially in the coastal area. Conventional methods of wind field retrieval from SAR, however, require wind direction as initial information, such as the wind direction from numerical weather prediction models （NWP）, which may not match the time of SAR image acquiring. Fortunately, the polarimetric observations of SAR enable independent wind retrieval from SAR images alone. In order to accurately measure coastal wind fields, this paper proposes a new method of using co-polarization backscattering coefficients from polarimetric SAR observations up to polarimetric correlation backscattering coefficients, which are acquired from the conjugate product of co-polarization backscatter and cross-polarization backscatter. Co-polarization backscattering coefficients and polarimetric correlation backscattering coefficients are obtained form Radarsat-2 single-look complex （SLC） data.The maximum likelihood estimation is used to gain the initial results followed by the coarse spatial filtering and fine spatial filtering. Wind direction accuracy of the final inversion results is 10.67 with a wind speed accuracy of 0.32 m/s. Unlike previous methods, the methods described in this article utilize the SAR data itself to obtain the wind vectors and do not need external wind directional information. High spatial resolution and high accuracy are the most important features of the method described herein since the use of full polarimetric observations contains more information about the space measured.This article is a useful addition to the work of independent SAR wind retrieval. The experimental results herein show that it is feasible to employ the co-polarimetric backscattering coefficients and the polarimetric correlation backscattering coefficients for coastal wind field retrieval. 相似文献