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| Pendleton, Linwood H; Beyer, Hawthorne; Estradivari,; Grose, Susan O; Hoegh-guldberg, Ove; Karcher, Denis B; Kennedy, Emma; Llewellyn, Lyndon; Nys, Cecile; Shapiro, Aurélie; Jain, Rahul; Kuc, Katarzyna; Leatherland, Terry; O’hainnin, Kira; Olmedo, Guillermo; Seow, Lynette; Tarsel, Mick; Blasiak, Robert. |
| Ocean ecosystems are in decline, yet we also have more ocean data, and more data portals, than ever before. To make effective decisions regarding ocean management, especially in the face of global environmental change, we need to make the best use possible of these data. Yet many data are not shared, are hard to find, and cannot be effectively accessed. We identify three classes of challenges to data sharing and use: uploading, aggregating, and navigating. While tremendous advances have occurred to improve ocean data operability and transparency, the effect has been largely incremental. We propose a suite of both technical and cultural solutions to overcome these challenges including the use of natural language processing, automatic data translation,... |
| Tipo: Text |
Palavras-chave: Combinatorial machine; Collaboration; Data aggregation; Data sharing; Data uploading; Ocean conservation. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00500/61162/64743.pdf |
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| Figiel, Szczepan; Hamulczuk, Mariusz; Klimkowski, Cezary. |
| In this paper we use weekly milling wheat price series for nine selected EU countries to evaluate levels and components of volatility in the period from July 2004 to April 2011 and to examine how sensitive the results can be to spatial aggregation of the price data. The prices were analyzed in levels and logarithmic rate of returns. To asses price risk, apart from basic measures of price variability, the price series were decomposed using multiplicative model in order to determine shares of seasonal and random components in the total variance of the prices. We also applied ARMAX model to separate the stochastic components of the price series to properly evaluate real price risk exposure and tested for ARCH and GARCH effects. We found considerable... |
| Tipo: Presentation |
Palavras-chave: Wheat prices; Volatility; Price risk; Data aggregation; Risk and Uncertainty; C22. |
| Ano: 2012 |
URL: http://purl.umn.edu/122549 |
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