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981.
随着相关科技的飞速发展,无人机和非量测数码相机越来越多地应用于航空摄影测量,尤其是在应急救灾等特殊情况下,有着独特的优势。本文基于Pixel Grid软件系统,针对某应急项目进行生产试验,阐述了无人机航摄数据的快速后续处理方法,并进行了精度分析和效率统计,结果证明这种方法是可行且高效的。 相似文献
982.
通过数据实证分析COVID-19期间武汉市应急医疗设施的空间配置特征,构建武汉市疫情暴发期间的应急医疗设施空间配置评价体系,运用两步移动搜寻法等方法对武汉市应急医疗资源配置进行评价,提出其空间配置中的不足。研究发现,COVID-19暴发期间武汉的应急医疗设施的空间分布以核心城区为主,开放床位多集中在传统城市中心地区,周边地区的应急医疗设施空间配置上仍有不足;应急医疗设施的配置存在较大的缺口,空间分布不均衡,且综合可达性较差,可服务的研究单元较为局限,应急设施的就医可达性由城市中心从内向外依次降低。 相似文献
983.
984.
Anthony C. Robinson Scott Pezanowski Sarah Troedson Raechel Bianchetti Justine Blanford Joshua Stevens 《制图学和地理信息科学》2013,40(5):415-426
Maps are a primary means for supporting information sharing and collaboration in emergency management and crisis situations. While a variety of formalized map symbol standards for emergency contexts exist, they have not been widely adopted by mapmakers. Informal symbol conventions are commonly used within emergency management stakeholder groups, but until now there has not been a flexible mechanism for discovering, sharing, and previewing these symbol sets among mapmakers. In this paper, we describe the design and development of the Symbol Store, a visually enabled, web-based interactive tool intended to help mapmakers share point symbols. The Symbol Store allows users to browse symbols by keyword, category tags, and contributors. It also allows for symbols to be previewed on realistic maps prior to download. An initial prototype of the Symbol Store was evaluated by flood mapping experts from the State of California, and the results of this user study led to multiple refinements now implemented in the public version of Symbol Store located at www.symbolstore.org. 相似文献
985.
Michael E. Camponovo 《制图学和地理信息科学》2013,40(5):440-455
This research project examines the geographic data produced by volunteers via the Ushahidi web platform in response to the earthquake that struck Haiti in January 2010. Volunteers translated messages (text, e-mail, and voice) submitted by victims of the earthquake, categorized each message into a primary ‘emergency need’ category and subcategory, and georeferenced each message on a dynamic web-based map. Initial inspection of the categorized data indicated discrepancies between the emergency need submitted by victims and the subsequent categorization of the emergency need. Analysis of the main categorical data illustrated that 50% of the messages were mis-categorized by the volunteers, failing to convey the main idea of the victim’s message. At the subcategory level, approximately 73% of the messages failed to convey the main idea of the messages. These numbers are higher than the estimate of 36% error in categorization produced in an independent review of the Haiti Ushahidi database. While the volunteer response to the Haitian earthquake represents a paradigm shift in emergency response and victim empowerment that has been repeated in numerous natural and man-made disasters around the world, this study suggests the need for more research on the quality of the categorization (i.e., attribute data) of volunteered emergency data. 相似文献
986.
Poul Brøndum 《Geografisk tidskrift / udgivet af Bestyrelsen for Det Kongelige danske geografiske selskab》2013,113(1):20-36
Biilmann, Ove: Dansk geografiundervisning. Geografisk Tidsskrift 83: 20–23. Copenhagen, June 1, 1983. Education in geography at the elementary schools in Denmark. 相似文献
987.
基于地质统计方法与DEM的地震灾情空间插值研究 总被引:1,自引:0,他引:1
历次破坏性地震的震害调查和强震观测资料显示, 地形地貌对地震灾害有着显著的影响. 地震发生后, 为了能够及时、 准确地为地震救灾指挥提供灾情分布信息, 该文借鉴了地质统计学方法, 利用灾情速报人员上报的地震现场离散点灾情短信对灾区进行灾情空间模拟的同时, 将数学高程模型(DEM)中所包含的高程、 坡度等地形地貌信息作为影响因素引入协克里金(Co-Kriging)插值; 并以汶川MS8.0地震灾情短信数据为例, 分别对确定性插值、 地质统计学插值结果与有无考虑坡度因素的地质统计学插值结果进行了交叉检验. 结果表明, 考虑坡度影响因素的协克里金插值在合适的模型和参数下取得了最优的灾情模拟效果. 该方法为地震应急期间进行较高精度的灾情模拟提供了一种新的可行思路. 相似文献
988.
基于GDP宏观易损性分析方法,是从全球尺度地震灾害损失过程中发展起来的,本文在真实震例的基础上,运用宏观易损性分析方法,分别计算科考影响场与经验影响场的震后经济损失,与实际震害评估结果进行对比,初步验证该方法在省级区域震后经济损失快速评估中的可用性. 相似文献
989.
C. M. Almeida J. M. Gleriani E. F. Castejon B. S. Soares‐Filho 《International journal of geographical information science》2013,27(9):943-963
Empirical models designed to simulate and predict urban land‐use change in real situations are generally based on the utilization of statistical techniques to compute the land‐use change probabilities. In contrast to these methods, artificial neural networks arise as an alternative to assess such probabilities by means of non‐parametric approaches. This work introduces a simulation experiment on intra‐urban land‐use change in which a supervised back‐propagation neural network has been employed in the parameterization of several biophysical and infrastructure variables considered in the simulation model. The spatial land‐use transition probabilities estimated thereof feed a cellular automaton (CA) simulation model, based on stochastic transition rules. The model has been tested in a medium‐sized town in the Midwest of São Paulo State, Piracicaba. A series of simulation outputs for the case study town in the period 1985–1999 were generated, and statistical validation tests were then conducted for the best results, based on fuzzy similarity measures. 相似文献
990.