TY  - JOUR
AU  - Carro Calvo, Leopoldo
AU  - Jaume Santero, Fernando
AU  - García Herrera, Ricardo Francisco
AU  - Salcedo Sanz, Sancho
PY  - 2021
DO  - 10.1007/s00704-020-03396-w
SN  - 0177-798X
UR  - https://hdl.handle.net/20.500.14352/8088
T2  - Theoretical and Applied Climatology
AB  - In this paper, we show a new clustering technique (k-gaps) aiming to generate a robust regionalization using sparse climate datasets with incomplete information in space and time. Hence, this method provides a new approach to cluster time series of...
LA  - eng
M2  - 447
PB  - Springer
KW  - Clustering techniques
KW  - Climatological time series
KW  - Climate trends
KW  - Regional analysis
TI  - k-Gaps: a novel technique for clustering incomplete climatological time series
TY  - journal article
VL  - 143
ER  -