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中国城市职能分类研究综述 总被引:5,自引:1,他引:5
城市职能分类的研究一直以来就是城市地理学研究的重要领域。在简要回顾中国城市职能分类研究的主要成果和观点的基础上,从研究的阶段性角度将城市职能分类分为研究初步展开、研究发展、研究逐步完善3个时期;并提出为适应新形势的发展,城市职能分类研究将在拓展研究对象、创新研究方法、完善数据指标体系、充分利用研究成果等方面得到完善和提高。 相似文献
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Spatial information on soil properties is an important input to hydrological models. In current hydrological modelling practices, soil property information is often derived from soil category maps by the linking method in which a representative soil property value is linked to each soil polygon. Limited by the area‐class nature of soil category maps, the derived soil property variation is discontinuous and less detailed than high resolution digital terrain or remote sensing data. This research proposed dmSoil, a data‐mining‐based approach to derive continuous and spatially detailed soil property information from soil category maps. First, the soil–environment relationships are extracted through data mining of a soil map. The similarity of the soil at each location to different soil types in the soil map is then estimated using the mined relationships. Prediction of soil property values at each location is made by combining the similarities of the soil at that location to different soil types and the representative soil property values of these soil types. The new approach was applied in the Raffelson Watershed and Pleasant Valley in the Driftless Area of Wisconsin, United States to map soil A horizon texture (in both areas) and depth to soil C horizon (in Pleasant Valley). The property maps from the dmSoil approach capture the spatial gradation and details of soil properties better than those from the linking method. The new approach also shows consistent accuracy improvement at validation points. In addition to the improved performances, the inputs for the dmSoil approach are easy to prepare, and the approach itself is simple to deploy. It provides an effective way to derive better soil property information from soil category maps for hydrological modelling. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献
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Peatland initiation and carbon dynamics in northeast China: links to Holocene climate variability 下载免费PDF全文
Wei Xing Kunshan Bao Wenyong Guo Xianguo Lu Guoping Wang 《Boreas: An International Journal of Quaternary Research》2015,44(3):575-587
Throughout northeast China, the widely distributed peatlands have formed a large carbon (C) pool. However, the relationship between peatland initiation and climate controls is still poorly documented and understood. Understanding the responses of these C‐rich ecosystems to past climate change will provide useful insights into projecting the fate of peatland C in the future. In this study, we present a detailed historical reconstruction of peatland development in northeast China based on 312 basal peat dates, and examine the relationship between Holocene peatland dynamics and climate sensitivity. Our results indicate that peatland initiation started in the early Holocene, and that the majority of peatlands were initiated by and developed during the late Holocene. After the most intensive initiation period of 4.2–0.8 ka, the rate of peatland development slowed, which was concomitant with decreasing insolation and monsoon intensity. The widespread peatland initiation in the late Holocene might have been caused by the cool and moist climate patterns. The optimum timing of the peatland development was not uniform across northeast China, and these spatio‐temporal differences indicate the influences of regional climate and terrain on peatland initiation. Peat‐core data show variations in the long‐term apparent rate of C accumulation (LORCA) during the Holocene, with an average rate of 37.2 g C m?2 a?1. The peak LORCA occurred during 10.5–9.0 ka, probably in response to higher temperatures and stronger East Asia summer monsoon intensities. Both temperature and humidity are important factors influencing the peatland initiation and C dynamics in this region. 相似文献
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自20世纪60年代初以来,地理信息系统引领了地理信息的分析与服务。然而,由于地理学家对于地理过程开展多维模拟的需求,同时许多大型工程需要对于不同方案的后果事先开展模拟评估,为此中国学者们在世纪相交之际开始了对于虚拟地理环境的探索。本文从地理信息系统到虚拟地理环境的认识上的转变着手,分析了虚拟地理环境的演进过程、当前的阶段定位与挑战,着重探讨了虚拟地理环境研究的新态势:基于虚拟地理环境的地理空间认知研究、虚拟地理环境与实验地理学新方向、大数据背景下的虚拟地理认知实验方法和虚拟地理环境与地理知识工程,并给出最新研究思路。 相似文献
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陈文彬 《测绘与空间地理信息》2016,(4):150-152
介绍了基于开源GDAL类库开发,实现遥感影像的大批量快速裁切的技术,经应用测试,该技术提高了遥感影像处理的作业效率和自动化水平,降低了生产成本。 相似文献
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通过基于高时间分辨率的"环境一号"卫星数据的变化向量分析(CVA)冬小麦遥感识别方法,并以地理国情普查数据为调整单元对识别结果进行修正,达到提高冬小麦遥感识别精度的目的。结果表明,使用CVA方法可提高冬小麦遥感识别精度,以国情普查数据为调整单元可在一定程度上降低遥感影像配准误差影响,对其他农作物遥感识别具有一定的参考意义。 相似文献