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62.
R. Lee Lyman 《Journal of archaeological science》1985,12(3):221-236
Human transport of bones with high food values, and destruction of bones with low density values are the traditionally invoked explanations of the frequencies of bones in archeological contexts. The manner in which these two explanations have been used suggests archaeologists assume the explanations to be independent of one another. The transport explanation is operationalized as the modified general utility index (MGUI) of Binford, and the destruction explanation is operationalized with measures of bone density. Statistical correlation of the MGUI with bone density, while weak, indicates that many high utility bones have low density values while many low utility bones have high density values. Because low density bones tend to be destroyed more readily than high density bones, inferences of human utility strategies derived from bone frequencies and based on the MGUI may be inaccurate. The utility strategies suggested by three archaeofaunas are compared to bone density, and two of these faunas are shown to potentially be the result of differential destruction and not human transport as measured by the MGUI. 相似文献
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Do Jun Lee 《Social & Cultural Geography》2016,17(3):401-422
As an initiative to increase cycling, bike to work (BTW) events emphasize a pragmatic approach in which people learn through sensory experience. Pragmatism contends that the lived experience of the commuter within fluid geographies of social and physical conditions informs commuting knowledge and behavior. I researched how bicyclists participate in the 2012 BTW event in Lake Tahoe (USA) and how these experiences facilitate the process of becoming bicycle commuters. My study included participant observations, interviews, video observations, and route mapping. I analyzed this data with thematic and narrative analyses. I find that the BTW event illuminates bicycling, a normally invisible practice in a car world, and creates temporary bicycle-friendly spaces that provide the embodied experience and knowledge of bicycle commuting within context. Through this lived experience, participants can break free from unconscious car-based patterns and become embodied bicycle commuters who engage in active renegotiations of their commuting practices. 相似文献
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Orhun Aydin Mark V. Janikas Renato Martins Assunção Ting-Hwan Lee 《Geographical analysis》2024,56(2):328-357
Spatial clusters contain biases and artifacts, whether they are defined via statistical algorithms or via expert judgment. Graph-based partitioning of spatial data and associated heuristics gained popularity due to their scalability but can define suboptimal regions due to algorithmic biases such as chaining. Despite the broad literature on deterministic regionalization methods, approaches that quantify regionalization probability are sparse. In this article, we propose a local method to quantify regionalization probabilities for regions defined via graph-based cuts and expert-defined regions. We conceptualize spatial regions as consisting of two types of spatial elements: core and swing. We define three distinct types of regionalization biases that occur in graph-based methods and showcase the use of the proposed method to capture these types of biases. Additionally, we propose an efficient solution to the probabilistic graph-based regionalization problem via performing optimal tree cuts along random spanning trees within an evidence accumulation framework. We perform statistical tests on synthetic data to assess resulting probability maps for varying distinctness of underlying regions and regionalization parameters. Lastly, we showcase the application of our method to define probabilistic ecoregions using climatic and remotely sensed vegetation indicators and apply our method to assign probabilities to the expert-defined Bailey's ecoregions. 相似文献
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Gary L. Shoesmith 《Journal of regional science》2003,43(2):373-392
Abstract This study extends the work of Estrella and Mishkin (1996 , 1998 ) to show that interest‐rate spreads and probit modeling can be used to predict recessions in many states as well as the nation. State recessions are defined as two or more consecutive quarters of declining real gross state product. The yield spread, SPREAD, is defined as the difference between the 10‐year Treasury bond rate and the three‐month Treasury bill rate. The national results are similar to those obtained by Estrella and Mishkin. Probit models are estimated for all 50 states using SPREAD and unemployment insurance claims, UI, as alternative explanatory variables. For 34 of the 50 states, SPREAD is significant at the 0.01 level as a predictor of state recessions. Much weaker results are obtained using UI. Simulations for the 1979–2001 period are used to compute loss functions for the national and state models at probability screens of 30, 40, 50, and 60 percent. The results demonstrate that probit models based on SPREAD can be useful in improving business and policy decisions in many states. 相似文献
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