| geosptdb-package {geosptdb} | R Documentation |
Spatio-Temporal Radial Basis Functions with Distance-Based Methods (Optimization, Prediction and Cross Validation)
Description
Spatio-temporal: Inverse Distance Weighting (IDW) and radial basis functions; optimization, prediction, summary statistics from leave-one-out cross-validation, adjusting distance-based linear regression model and generation of the principal coordinates of a new individual from Gower's distance.
Details
| Package: | geosptdb |
| Type: | Package |
| Version: | 1.0-1 |
| Date: | 2022-05-12 |
| License: | GPL (>= 2) |
| LazyLoad: | yes |
Author(s)
Carlos Melo <cmelo@udistrital.edu.co>, Oscar Melo <oomelom@unal.edu.co>, Sandra Melo <semelom@unal.edu.co>
Maintainer: Carlos Melo <cmelo@udistrital.edu.co>
References
Cuadras CM, Arenas C, Fortiana J (1996). Some computational aspects of a distance-based model for prediction. Communications in Statistics B - Simulation and Computation 25, 593-609.
Cuadras, CM. and Arenas, C. (1990).A distance-based regression model for prediction with mixed data. Communications in Statistics A - Theory and Methods 19, 2261-2279
Gower, J. C. (1971). A general coefficient of similarity and some of its properties. Biometrics 27:857-871.
Hengl, T. (2009). A Practical Guide to Geostatistical Mapping, 2nd edn, University of Amsterdam, Amsterdam.
Hengl, T., Heuvelink Gerard, B. M., Percec Tadic, M. & Pebesma, E. J. (2012). Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images, Theoretical and Applied Climatology 107, 1-2, 265-277.
Johnston, K., Ver, J., Krivoruchko, K., Lucas, N. 2001. Using ArcGIS Geostatistical Analysis. ESRI.
Melo, C. E. (2012). Analisis geoestadistico espacio tiempo basado en distancias y splines con aplicaciones. PhD. Thesis. Universitat de Barcelona. 276 p. [link]
See Also
rbfST, graph.rbfST, cp.xnews, croatiadb