The impact of spatial elements on the forecasting of Spanish labour series     

Ana M. Angulo  F. Javier Trívez 《Journal of Geographical Systems》2010,12(2):155-174

In this paper, we analyse the ability of a dynamic spatial panel data model without explanatory variables to explain a variable of interest, in this case employment in the fifty Spanish provinces. The best model is a dynamic fixed effect with a spatial lag structure in an equation estimated through the unconditional ML procedure. Predictions derived from this selected model are compared with those derived from fifty seasonal ARIMA models that also treat outlier observations. The results indicate that forecasts derived from a single estimated spatial panel data model are as accurate as those derived from the estimation of fifty seasonal ARIMA models. This shows that spatial panel data models play an important role in forecasting.  相似文献   

Doppler tomography of cataclysmic variables     

L. Morales‐Rueda 《Astronomische Nachrichten》2004,325(3):193-196

The study of cataclysmic variables (CVs), and in particular of the evolution of their accretion discs throughout their different brightness states, has benefited largely from the use of indirect imaging techniques. I report on the latest results obtained from Doppler tomography of CVs concentrating mainly on results published since the 2000 Astrotomography meeting in Brussels. Emphasis is given to the spiral structures found in the accretion discs of some CVs, to the evolution of these structures throughout quiescence and outburst, and to our search for them in more systems. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)  相似文献   

Exploring of the spatially varying completeness of a tsunami catalogue     

Ning  Li X.  Cheng  Chang X.  Cruz  Ana M.  Garnier  Emmanuel 《Natural Hazards》2022,110(1):191-205

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