• fields

  • Referenced in 45 articles [sw08187]
  • fields format can be used for spatial prediction. Some tailored optimization functions are supplied ... useful functions for plotting and working with spatial data as images. This package also contains...
  • spTimer

  • Referenced in 14 articles [sw24237]
  • spTimer: Spatio-Temporal Bayesian Modelling. Fits, spatially predicts and temporally forecasts large amounts of space...
  • gstat

  • Referenced in 37 articles [sw08293]
  • package gstat: spatial and spatio-temporal geostatistical modelling, prediction and simulation. variogram modelling; simple, ordinary...
  • FRK

  • Referenced in 81 articles [sw19172]
  • tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach, discussed in Cressie ... building block of the Spatial Random Effects (SRE) model, on which this package is based ... provides helper functions to model, fit, and predict using an SRE with relative ease. Reference...
  • geofd

  • Referenced in 5 articles [sw08390]
  • package for function-valued geostatistical prediction. Spatially correlated curves are present in a wide range ... package geofd which implements ordinary kriging prediction for this type of data. Initially the curves ... splines basis functions. After that the spatial dependence among curves is estimated by means ... variogram function. Finally the parameters for performing prediction by ordinary kriging at unsampled locations...
  • geoRglm

  • Referenced in 17 articles [sw06328]
  • inference in generalised linear spatial models. The posterior and predictive inference is based on Markov...
  • rms

  • Referenced in 80 articles [sw04532]
  • Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design ... model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile...
  • npsp

  • Referenced in 2 articles [sw31433]
  • spatial processes). Nonparametric residual kriging (spatial prediction...
  • spTDyn

  • Referenced in 2 articles [sw32493]
  • Spatio-Temporal Dynamic Linear Models. Fits, spatially predicts, and temporally forecasts space-time data using...
  • constrainedKriging

  • Referenced in 1 article [sw19016]
  • functions for efficient computations of nonlinear spatial predictions with local change of support. This package ... linear spatial interpolation methods, constrained and covariance-matching constrained kriging, provide approximately unbiased prediction ... alternative to conditional simulation for nonlinear spatial prediction problems with local change of support...
  • laGP

  • Referenced in 12 articles [sw14043]
  • spatial datasets. The approximation is based on finding small local designs for prediction (independently...
  • SSN

  • Referenced in 4 articles [sw24264]
  • Spatial Modeling on Stream Networks. Spatial statistical modeling and prediction for data on stream networks ... Models are created using moving average constructions. Spatial linear models, including explanatory variables...
  • biotools

  • Referenced in 1 article [sw21024]
  • genetic covariance components. An approach for predicting spatial gene diversity is implemented...
  • PReMiuM

  • Referenced in 8 articles [sw14746]
  • where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions...
  • RCIP

  • Referenced in 2 articles [sw10232]
  • also its first-order spatial derivatives are predicted by the governing equation. Using the Lagrangian...
  • CARTO

  • Referenced in 1 article [sw24931]
  • with third party location data streams, advanced spatial analysis, and interactive self‑service Location Intelligence ... work to optimize business processes and predict future outcomes, leading to more efficient delivery routes ... data streams and make accurate business predictions and spatial models from a single environment...
  • LatticeKrig

  • Referenced in 4 articles [sw15594]
  • integral) of the spatial process. Included are generic methods for prediction, standard errors for prediction...
  • PICIN

  • Referenced in 5 articles [sw12369]
  • model in two spatial dimensions are given. A comparison of PICIN predictions with state...
  • sperrorest

  • Referenced in 1 article [sw14564]
  • based variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap...
  • POPS

  • Referenced in 1 article [sw24119]
  • plant species, for which POPS predicts changes in spatial population structure assuming a particular scenario...