rtop: An R package for interpolation of data with a variable spatial support, with an example from river networks

Autor: Skøien, J.O., Blöschl, G., Laaha, G., Pebesma, E., Parajka, J., Viglione, A.

Publikováno v: In Computers and Geosciences June 2014 67:180-190

Predictions of runoff hydrographs in ungauged basins

Autor: Parajka, J., Andréassian, Vazken, Archfield, S., Bárdossy, A., Chiew, F., Duan, Q., Gelfan, A., Hlavcova, K., Merz, R., Mcintyre, N., Oudin, L., Perrin, C., Rogger, M., Salinas, J.L., Savenije, Hubert, Skøien, J.O., Wagener, T., Zehe, E., Zhang, Y.

Publikováno v: Runoff prediction in ungauged basins: Synthesis across processes, places and scales
Runoff prediction in ungauged basins: Synthesis across processes, places and scales, Cambridge university press, pp.227-269, 2013, 978-1-107-02818-0
HAL

International audience; This chapter deals with predicting the entire runoff hydrograph in ungauded basins. Runoff hydrographs form the basis for a wide range of hydrological investigations and water resources management tasks. From a scientific pers

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::96f8496a18234c839288ee46ba126472
https://hal.inrae.fr/hal-02599684

Spatial prediction on river networks: comparison of top-kriging with regional regression.

Autor: Laaha, G., Skøien, J.O., Blöschl, G.

Publikováno v: Hydrological Processes; Jan2014, Vol. 28 Issue 2, p315-324, 10p

A geostatistical approach to data harmonization – Application to radioactivity exposure data.

Autor: Baume, O., Skøien, J.O., Heuvelink, G.B.M., Pebesma, E.J., Melles, S.J.

Publikováno v: International Journal of Applied Earth Observation & Geoinformation; 06/01/2011, p409-419, 11p

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