Evaluation Procedures for Forecasting with Spatiotemporal Data

Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation

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How to evaluate sentiment classifiers for Twitter time-ordered data?

(2018) Igor Mozetič et al.   PLoS One

Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?

(2017) Michelangelo Ceci et al.   IEEE Transactions on Industrial Informatics

Leveraging correlation across space and time to interpolate geophysical data via CoKriging

(2017) Sonja Pravilovic et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set

(2015) Caley K. Gasch et al.   Spatial Statistics

spacetime: Spatio-Temporal Data inR

(2015) Edzer Pebesma   Journal of Statistical Software

On the usefulness of cross-validation for directional forecast evaluation

(2014) Christoph Bergmeir et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

On the use of cross-validation for time series predictor evaluation

(2012) Christoph Bergmeir et al.   INFORMATION SCIENCES