• spBayes

  • Referenced in 365 articles [sw10160]
  • mapping, and economics often encounter spatially referenced data collected over a fixed set of locations ... study. Such point-referenced or geostatistical data are often best analyzed with Bayesian hierarchical models...
  • geoR

  • Referenced in 56 articles [sw04489]
  • package geoR provides functions for geostatistical data analysis using the software R. This document illustrates...
  • geoBayes

  • Referenced in 5 articles [sw16727]
  • package geoBayes: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods. Functions ... geostatistical data. The data can be continuous, binary or count data and the models implemented...
  • geoCount

  • Referenced in 2 articles [sw24240]
  • package geoCount: Analysis and Modeling for Geostatistical Count Data. This package provides a variety ... functions to analyze and model geostatistical count data with generalized linear spatial models, including...
  • BGeost

  • Referenced in 7 articles [sw20765]
  • package for geostatistical integration of coarse and fine scale data. Building numerical models in earth...
  • rtop

  • Referenced in 1 article [sw24489]
  • Data with Variable Spatial Support. Geostatistical interpolation of data with irregular spatial support such...
  • bgaPEST

  • Referenced in 2 articles [sw27873]
  • parameterized inversion software package implementing the Bayesian Geostatistical Approach in a framework compatible with ... parameters on the specific data and model available. The geostatistical component of the method refers ... Geostatistical Approach is designed to provide the smoothest solution that is consistent with the data...
  • PrevMap

  • Referenced in 3 articles [sw23270]
  • package PrevMap: Geostatistical Modelling of Spatially Referenced Prevalence Data. Provides functions for both likelihood-based...
  • geofd

  • Referenced in 7 articles [sw08390]
  • geofd: an R package for function-valued geostatistical prediction. Spatially correlated curves are present ... ordinary kriging prediction for this type of data. Initially the curves are pre-processed...
  • DECLUS

  • Referenced in 7 articles [sw13524]
  • data may be clustered in areas accessible easily to sampling. Because all statistical and geostatistical...
  • fdagstat

  • Referenced in 1 article [sw34520]
  • that implements the methods of geostatistics for functional data...
  • gcKrig

  • Referenced in 0 articles [sw18000]
  • package gcKrig. Analyze and Interpolate Geostatistical Count Data using Gaussian Copula. Provides a variety ... functions to analyze and model geostatistical count data with Gaussian copulas, including 1) data simulation...
  • GeoModels

  • Referenced in 1 article [sw41437]
  • Package for Geostatistical Gaussian and non Gaussian Data Analysis...
  • GSTools

  • Referenced in 1 article [sw41911]
  • toolbox for geostatistical modelling in Python. Geostatistics as a subfield of statistics accounts ... address the often encountered burden of data scarcity ... Despite the value of additional data, the use of geostatistics still falls short...
  • SpaceStat

  • Referenced in 5 articles [sw23669]
  • reasonable range of techniques in spatial statistics, geostatistics and spatial econometrics. Time is an integral ... part of SpaceStat. All views of the data can be animated, from maps to histograms...
  • scgwr

  • Referenced in 1 article [sw28372]
  • considered requisite for big data analysis in machine learning, geostatistics, and related domains. Against this...
  • DSSIM-HR

  • Referenced in 4 articles [sw31913]
  • reproduction. Sequential simulation is a frequently used geostatistical simulation technique. The most widely used version ... technique is sequential Gaussian simulation, where the data are transformed to follow a Gaussian distribution...
  • Geoxp

  • Referenced in 7 articles [sw08289]
  • GeoXp: Interactive exploratory spatial data analysis. GeoXp is a tool for researchers in spatial statistics ... from different areas of spatial statistics including geostatistics as well as spatial econometrics and point ... most of the multidimensionality of the data, GeoXp includes some dimension reduction techniques such...
  • cgeostat

  • Referenced in 3 articles [sw23163]
  • Complex-Valued Random Fields. Given a vectorial data set in two dimensions, a representation ... convenient. This representation is rarely considered in geostatistics, although interesting applications can be found...
  • SNESIM

  • Referenced in 7 articles [sw13366]
  • Point Statistics (MPS) modeling has emerged in Geostatistics as a valuable alternative to traditional variogram ... thus does not suffer from the same data conditioning limitations as object-based simulation...