Katalog der Deutschen Nationalbibliothek

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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

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21 - 30 von 39

	21	Adaptive spatio-temporal models for satellite ecological data Enthalten in Journal of agricultural, biological, and environmental statistics Bd. 9, Nr. 2, date:6.2004: 158-180
	22	Editorial: Spatio-Temporal Data Models and Languages Enthalten in Geoinformatica Bd. 5, Nr. 1, date:3.2001: 5-9
	23	Spatio-Temporal Models on the Basis of Innovation Processes and Application to Cancer Mortality Data Schach, Ulrike. - Dortmund : Universitätsbibliothek Dortmund, 2000
	24	Temporal and spatio-temporal data models and their expressive power Erwig, Martin. - Hagen : Fernuniv., Fachbereich Informatik, 1997
	25	Temporal and spatial variations of terrestrial biomes and carbon storage since 13 000 yr BP in Europe: Reconstruction from pollen data and statistical models Enthalten in Water, air & soil pollution Bd. 82, Nr. 1-2, date:5.1995: 375-390
	26	A dimension-independent method for updating topological models of 4D spatio-temporal data based on generalized maps Enthalten in Earth science informatics Bd. 18, 8.2.2025, Nr. 2, date:2.2025: 1-22
	27	Choosing suitable linear coregionalization models for spatio-temporal data Enthalten in Stochastic environmental research and risk assessment Bd. 33, 15.7.2019, Nr. 7, date:7.2019: 1419-1434
	28	Clustering of temporal profiles in US climate change data using logistic mixture of spatial multivariate linear models Enthalten in Stochastic environmental research and risk assessment Bd. 38, 14.8.2024, Nr. 9, date:9.2024: 3719-3733
	29	Enhanced rainfall forecasting for Mumbai using data-driven ConvLSTM2D models at fine spatial and temporal scales Enthalten in Natural hazards Bd. 121, 1.5.2025, Nr. 10, date:6.2025: 11931-11956
	30	Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries Enthalten in Natural hazards Bd. 109, 16.6.2021, Nr. 1, date:10.2021: 441-469