Data analysis has been one of the core activities in scientific research, but limited by the
availability of analysis methods in the past, data analysis was often relegated to data …

This study aims to compare several imputation methods to complete the missing values of
spatio–temporal meteorological time series. To this end, six imputation methods are …

Long-term changes and trends in the series of monthly, seasonal and annual precipitation
totals of 97 stations in Turkey were analysed by considering their spatial and temporal …

This paper suggests a new methodology for the Standardized Precipitation Index (SPI), for
studying different aspects of drought events in Turkey, including intensity, frequency and …

In this paper, downscaling models are developed using a support vector machine (SVM) for
obtaining projections of monthly mean maximum and minimum temperatures (Tmax and …

Various modeling methodologies are available to aid planning and operational decision
making: this book synthesises these, with an emphasis on methodologies applicable in data …

Long-term variability and trends of the annual numbers of summer and tropical days were
investigated by using nonlinear (monotonic) and linear trend detection tests for the period …

The aim of the paper is to employ Empirical Orthogonal Function (EOF) analysis to drought
indices including Palmer Drought Severity Index (PDSI), Palmer Hydrological Drought Index …

This study examines the climatology of annual frost days, and analyses the size and
behaviour of the longterm variability and trends in annual numbers of frost day at the 72 …

In this study, we suggest the spectral clustering (SC), a hybrid clustering technique based on
singular value decomposition (SVD) and K-means for grouping features of precipitation …