Open Access
| Issue |
E3S Web Conf.
Volume 22, 2017
International Conference on Advances in Energy Systems and Environmental Engineering (ASEE17)
|
|
|---|---|---|
| Article Number | 00101 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/20172200101 | |
| Published online | 07 November 2017 | |
- D.P. Lettenmaier, Water Resour. Res. 12, 1037 (1976) [CrossRef] [Google Scholar]
- J.P. Delhomme, Adv. Water Resour. 1, 251 (1978) [CrossRef] [Google Scholar]
- P.K. Kitanidis, in Handb. Hydrol., edited by D. R. Maidment (McGraw-Hill, New York, 1993), p. 20.1-20.39 [Google Scholar]
- P.K.Kitanidis, Introduction to Geostatistics: Applications to Hydrogeology (Cambridge University Press, Cambridge; New York, 1997) [CrossRef] [Google Scholar]
- Y. Rubin, Applied Stochastic Hydrogeology (Oxford University Press, Oxford, New York, 2003) [Google Scholar]
- G. Hudson, H. Wackernagel, Int. J. Climatol. 14, 77 (1994) [Google Scholar]
- S. Ly, C. Charles, A. DegréBiotechnol. Agron. Société Environ. 17, 392 (2013) [Google Scholar]
- P. Štěpánek, P. ZahradnÍček, R. Huth Idojaras 115, 87 (2011) [Google Scholar]
- P.Štěpánek, P. ZahradnÍček, A. Farda Idojaras 117, 123 (2013) [Google Scholar]
- O. Ledvinka, Acta Hydrol. Slovaca. 16, 199 (2015) [Google Scholar]
- J. Krešl, in For. Amelior., edited by O. Riedl and D. Zachar (Elsevier, Amsterdam, 1984), pp. 7–90 [Google Scholar]
- LfULG, Hydrologisches Handbuch. (Landesamt für Umwelt, Landwirtschaft und Geologie, 2012) [Google Scholar]
- R Core Team, R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, Austria, 2017) [Google Scholar]
- R. Bivand, E.J. Pebesma, V. Gómez-Rubio Applied Spatial Data Analysis with R, 2nd ed. (Springer, New York, 2013) [CrossRef] [Google Scholar]
- P.H. Hiemstra, E.J. Pebesma, C.J.W. Twenhöfel, G.B.M. Heuvelink Comput. Geosci. 35, 1711 (2009) [CrossRef] [Google Scholar]
- E.J. Pebesma, C.G. Wesseling, Comput. Geosci. 24, 17 (1998) [CrossRef] [Google Scholar]
- E.J. Pebesma, Comput. Geosci. 30, 683 (2004) [CrossRef] [Google Scholar]
- B. Gräler, E. Pebesma, G. Heuvelink R J. 8, 204 (2016) [Google Scholar]
- W.N. Venables, B.D. Ripley, Modern Applied Statistics with S, 4th ed. (Springer, New York, 2002) [CrossRef] [Google Scholar]
- C. Portalés, N. Boronat, J.E. Pardo-Pascual, A. Balaguer-Beser Int. J. Climatol. 30,1547 (2010) [Google Scholar]
- R.J. Hijmans, Raster: Geographic Data Analysis and Modeling (2016) [Google Scholar]
- S. Konishi, G. Kitagawa, Information Criteria and Statistical Modeling (Springer, New York, 2008) [CrossRef] [Google Scholar]
- N. Cressie, J. Int. Assoc. Math. Geol. 17, 563 (1985) [CrossRef] [Google Scholar]
- J.S. Evans, spatialEco. (2016). [Google Scholar]
- X.L. Wang, H. Chen, Y. Wu, Y. Feng, Q. Pu J. Appl. Meteorol. Climatol. 49, 241 6 (2010) [EDP Sciences] [Google Scholar]
- R. Tolasz, editor, Climate Atlas of Czechia (Czech Hydrometeorological Institute; Palacký University Olomouc, Praha; Olomouc, 2007) [Google Scholar]
- S. Ly, C. Charles, A. Degré Hydrol. Earth Syst. Sci. 15, 2259 (2011) [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.