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151.
152.
Biogeographic characterization of Mediterranean and Black Seas faunal provinces using GIS procedures
To identify Mediterranean and Black Seas areas where similar marine faunal provinces occur, geographical distribution maps of 536 species of actual or potential interest to fisheries have been digitized, using GIS software, and three different ecological areas have been delimited by depth, separated by the 200 and 1000 m isobaths. Information on the species ranges was taken mainly from the maps and the texts of the FAO Species Identification Sheets covering the region, and complemented by other sources when necessary. All the distribution maps have then been overlaid by a grid of points at regular intervals every half degree of latitude and longitude. This allowed creation of a matrix of presence or absence of the species at each point from which species richness maps have been generated. The species richness in the Mediterranean proper shows the same negative gradient eastwards that has been observed for nutrients, while the low number of species in the Black Sea could be linked to the fragility and recent fast degradation of this ecosystem. Through the calculation of 65 dissimilarity indices from 50 contiguous points along the coastline and the species richness maps, the region has been divided into nine faunal provinces. These faunal provinces have then been compared with the ten Mediterranean and Black Seas divisions used by the GFCM for statistical purposes, revealing few differences between the two classifications. The definition of faunal provinces in a region when deciding upon Natural Management Areas, and the appropriate GIS approach to be followed, are discussed. 相似文献
153.
Coupling land use allocation models with raster GIS 总被引:5,自引:0,他引:5
As geographic information systems (GIS) have moved from information storage and retrieval operations towards more decision
support functions, there is a need for more integration of spatial analytical modules that can assist in locational decisions.
This paper presents a methodology for coupling land use allocation models with a raster GIS. For raster systems, the integration
of any decision module has been limited by the size of raster datasets that may contain hundreds of thousands of pixels. Therefore,
decision heuristics have been used rather than exact methods such as mathematical programming models. For the problem of land
use allocation, the special structure of the generalized assignment problem is used here to handle large scale datasets. The
advantage of the mathematical programming approach is the additional information associated with the dual variables and opportunity
costs that can be used in subsequent sensitivity analyses.
Received: 7 April 1998/Accepted: 2 October 1998 相似文献
154.
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156.
论述了城市基础测绘部门开发公众地理信息平台的必要性和优势,分析并讨论了公共地理信息服务平台中的公众地理信息服务平台、基础地理信息服务平台和政务地理信息服务平台在数据内容、功能框架、网络体系、服务对象上的不同,以广州市公众地理信息服务平台的开发为例,详细介绍了该平台的数据内容、功能框架和系统特色,该平台对其他城市开发类似的公众地理信息服务平台具有一定的参考作用。 相似文献
157.
分析了3S高新技术学科的特点,针对工科学生的学科背景,以郑州大学GIS专业全球定位系统和数字摄影测量学为例,探讨了这些学科的教学方法。主要包括:随时掌握学生的思想状况、扩大教学内容的新颖性与信息量、采取灵活多样的课堂教学方法、注重培养学生动手能力等。三年来的教学实践证明,这些措施大大提高了学生的学习积极性与效率,效果显著。 相似文献
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159.
地震是极其严重的自然灾害,有可能造成重大伤亡和经济损失。由于城市中人口高度聚集,地震发生时,需将受灾居民快速疏散至应急避难所,因此,应急避难所选址的合理性至关重要。本文提出1种可用于解决选址问题的多准则选址模型,并提出了求解模型的方法。该方法分为3个步骤,首先选择候选应急避难所,其次分析候选避难所的服务范围,最后确定应急避难所的位置。通过案例研究,论证了多准则选址模型在地震应急避难所规划中的有效性。 相似文献
160.
Spatial difference and mechanisms of influence of geo-economy in the border areas of China 总被引:2,自引:0,他引:2
Border areas are both important territorial security barriers and portals to the outside world. Considering the complicated geopolitical environment of China’s inland borders, analysis of the current status and mechanisms of influence of geo-economy in border areas is of great significance. Namely, this analysis is important towards leveraging traditional advantages to accelerate China’s development in border and minority areas. Based on a comprehensive analysis, our study constructed a framework to analyze the geo-economy in border areas, and also introduced three indexes: local economy, export-oriented economy and local development. In addition, our study systematically described geo-economic evolution in the border areas of China. We also analyzed the mechanism of geo-economic spatial differentiation in these border areas by using geographical detectors. Our results indicated that the level of geo-economic influence in border areas has grown steadily with significant spatial differentiation. The absolute geo-economic dominance of Northeast China gradually declines over time. Areas with geo-economic advantages are highly dispersed, showing a spatial polarization pattern with several polar nuclei including Mudanjiang city (Northeast China), Baotou city (Inner Mongolia), Bortala Mongol Autonomous Prefecture (Xinjiang), Dehong Dai and Jingpo Autonomous Prefecture and the city of Chongzuo (Yunnan-Guangxi area). Geo-economics in border area is mainly influenced by national policies, the development level of neighboring countries, as well as the desire of these countries to cooperate with China in bilateral trade. Favorable policies, traffic, cultural proximity and other factors also impact the geo-economics of border areas significantly. The Inner Mongolia and Tibet areas are mainly influenced by neighboring countries, while Northeast China and Xinjiang are mainly affected by Chinese policies; the Yunnan-Guangxi area is influenced by a combination of these factors. At the end of the study, we provide our recommendations for developing policies that further geo-economic advantages in complex geopolitical environments and in areas with varied development. 相似文献