共查询到20条相似文献，搜索用时 515 毫秒
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Itzhak Benenson 《International journal of geographical information science》2013,27(5):1047-1053
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《Norsk geografisk tidsskrift. Norwegian journal of geography》2012,66(1-8):27-45
Olaus Magnus — et 400 års minne, så lyder titelen på det korte foredrag jeg har fått adgang til å. holde her i dag på. akademiets siste møte i inneværende kalenderår. Den 2. august i år var det nemlig 400 år siden denne merkelige, interessante og sympatiske personlighet døde i Rom. som Sveriges siste katolske erkebiskop etter 33 års land-flyktighet uten å ha fått tiltre den erkebiskopstolen i Uppsala, som pave Paulus III hadde utnevnt ham til etter hans to år eldre brors Johannes Magnus' død i 1544. 相似文献
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David Martin 《International journal of geographical information science》2013,27(1):100-102
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Richard Wadsworth 《International journal of geographical information science》2013,27(3):299-300
Urban segregation has received increasing attention in the literature due to the negative impacts that it has on urban populations. Indices of urban segregation are useful instruments for understanding the problem as well as for setting up public policies. The usefulness of spatial segregation indices depends on their ability to account for the spatial arrangement of population and to show how segregation varies across the city. This paper proposes global spatial indices of segregation that capture interaction among population groups at different scales. We also decompose the global indices to obtain local spatial indices of segregation, which enable visualization and exploration of segregation patterns. We propose the use of statistical tests to determine the significance of the indices. The proposed indices are illustrated using an artificial dataset and a case study of socio‐economic segregation in São José dos Campos (SP, Brazil). 相似文献
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《The Professional geographer》2013,65(3):237-239
This study compares how humans and neural networks classify climate types. Human subjects were asked to classify climates from monthly temperature and precipitation patterns. To model their learning process, the same data were used to produce input vectors that trained a pattern associator neural network. Both human subjects and the neural network classified climates accurately after 10 rounds of supervised learning. The neural network successfully modeled the rate of human learning and the ability to learn specific climate categories. Moreover, the neural network weights used to classify climates correspond to distinct visual characteristics in temperature and precipitation. These results suggest that neural networks can model the formation of visual categories. 相似文献
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