• LatticeKrig

  • Referenced in 4 articles [sw15594]
  • Fields. Methods for the interpolation of large spatial datasets. This package follows a ”fixed rank ... large number of basis functions and provides spatial estimates that are comparable to standard families...
  • laGP

  • Referenced in 12 articles [sw14043]
  • approximate GP regression for large computer experiments and spatial datasets. The approximation is based ... constraints via an augmented Lagrangian scheme, and large scale computer model calibration...
  • ramps

  • Referenced in 4 articles [sw24248]
  • samples. Package performance is tuned for large spatial datasets...
  • FRK

  • Referenced in 81 articles [sw19172]
  • spatial/spatio-temporal modelling and prediction with large datasets. The approach, discussed in Cressie and Johannesson ... building block of the Spatial Random Effects (SRE) model, on which this package is based...
  • CompRandFld

  • Referenced in 11 articles [sw14644]
  • methods is provided. Spatial analysis often involves dealing with large dataset. Therefore even simple studies...
  • spNNGP

  • Referenced in 2 articles [sw31449]
  • package spNNGP: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes. Fits univariate ... Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed...
  • BRISC

  • Referenced in 1 article [sw31761]
  • package BRISC: Fast Inference for Large Spatial Datasets using BRISC. Fits Bootstrap with univariate spatial ... Rapid Inference on Spatial Covariances (BRISC) for large datasets using Nearest Neighbor Gaussian Processes detailed...
  • CHomP

  • Referenced in 43 articles [sw09358]
  • from the complicated spatial, temporal and even spatial-temporal behavior they exhibit. On the level ... through which the information hidden in large datasets can be reduced to compact algebraic expressions...
  • spatstat.Knet

  • Referenced in 1 article [sw29946]
  • spatstat’ package, for analysing large datasets of spatial points on a network. Provides a memory...
  • volsh

  • Referenced in 5 articles [sw04238]
  • called Volsh, we investigate a 25-Gbyte dataset from a 256 3 computation of decaying ... number of techniques for producing feature-revealing spatial cues. We also study the pros ... most effective at exploring large four-dimensional scalar datasets. The resulting visualizations show several...
  • marrayClasses

  • Referenced in 7 articles [sw08346]
  • systematic representation and manipulation of large microarray datasets of multiple types. The marrayClasses package contains ... spot statistics, such as boxplots, scatterplots, and spatial color images, are provided in marrayPlots. Finally...
  • ChromHMM

  • Referenced in 3 articles [sw29058]
  • chromatin states. ChromHMM can integrate multiple chromatin datasets such as ChIP-seq data of various ... novo the major re-occuring combinatorial and spatial patterns of marks. ChromHMM is based ... computing state enrichments for large-scale functional and annotation datasets ChromHMM facilitates the biological characterization...
  • marrayInput

  • Referenced in 5 articles [sw08347]
  • systematic representation and manipulation of large microarray datasets of multiple types. The marrayClasses package contains ... spot statistics, such as boxplots, scatterplots, and spatial color images, are provided in marrayPlots. Finally...
  • marrayNorm

  • Referenced in 5 articles [sw08348]
  • systematic representation and manipulation of large microarray datasets of multiple types. The marrayClasses package contains ... spot statistics, such as boxplots, scatterplots, and spatial color images, are provided in marrayPlots. Finally...
  • marrayPlots

  • Referenced in 5 articles [sw08349]
  • systematic representation and manipulation of large microarray datasets of multiple types. The marrayClasses package contains ... spot statistics, such as boxplots, scatterplots, and spatial color images, are provided in marrayPlots. Finally...
  • ExaGeoStatR

  • Referenced in 1 article [sw30063]
  • providing a tool to generate large-scale synthetic datasets which can be used to test ... synthetic datasets and a sea surface temperature dataset. The performance evaluation involves spatial datasets with...
  • GeoMF

  • Referenced in 1 article [sw25054]
  • augmented model, we not only capture the spatial clustering phenomenon in terms of two-dimensional ... proposed algorithm on a large-scale LBSN dataset. The results indicate that weighted matrix factorization ... factorization models and that incorporating the spatial clustering phenomenon into matrix factorization improves recommendation performance...
  • DeepFix

  • Referenced in 2 articles [sw25895]
  • layers with very large receptive fields. Generally, fully convolutional nets are spatially invariant which prevents ... model on two challenging eye fixation datasets -- MIT300, CAT2000 and show that it outperforms other...
  • spectral-cube

  • Referenced in 1 article [sw28283]
  • wide range of conventions of axis order, spatial projections, and spectral units that exist ... datasets. Basic summary statistic methods like moments and array aggregates. Designed to work with datasets ... large to load into memory...
  • MoleView

  • Referenced in 1 article [sw11684]
  • semantic lens which selects a specific spatial and attribute-related data range. The lens keeps ... provides real-time performance on large datasets. We demonstrate our technique with actual data from...