English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Six methods of completing missing data were evaluated: This is: q ratio, distance reasons, average neighbors, linear regression, weighted inverse distance (IDW) and regional vector method (MVR) in order to know its applicability in the Sub-basin of the Patate River (SRP). The analysis was carried out every month and comprised a period between 1995-2003. The evaluation of the models was performed using a combination of indexes that measured the adjustment of the observed values to the simulated ones. The indices used were: Nash index, Pearson correlation coefficient (R), coefficient of determination (CD) and typical error. The results showed high heterogeneity in the methods. The best completion estimates were obtained with the MVR method for the stations: Rumipamba, Querochaca, Cusubamba and Tisaleo. However, the results for the Pastocalle and Tisaleo stations did not allow selection of a filling method due to the low performance of the models.

ESTIMACIÓN DE DATOS FALTANTES DE PRECIPITACIÓN EN LA SUBCUENCA DEL RÍO PATATE