• GMRFLib

  • Referenced in 213 articles [sw06641]
  • analysis of longitudinal and survival data, spatio-temporal models, graphical models, and semi-parametric statistics...
  • spacetime

  • Referenced in 13 articles [sw08291]
  • package spacetime: classes and methods for spatio-temporal data. Classes and methods for spatio-temporal...
  • DISTIL

  • Referenced in 4 articles [sw02436]
  • describe DISTIL (DIstributed design of SpaTIo-temporaL data), a web-based conceptual modeling prototype system ... help capture the semantics of spatio-temporal data. Via DISTIL, we describe an annotation-based ... DISTIL to capture and validate their spatio-temporal data requirements. Using DISTIL we demonstrate that ... annotation-based approach for capturing spatio-temporal requirements is straightforward to implement, satisfies ontology-based...
  • spate

  • Referenced in 5 articles [sw12265]
  • package spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach. This package ... provides functionality for spatio-temporal modeling of large data sets. A Gaussian process in space ... traditional approach of using a spatio-temporal covariance function, the spectral SPDE approach is computationally ... modeling approaches. First, the SPDE based spatio-temporal model can be used as a component...
  • CCUBE

  • Referenced in 5 articles [sw17366]
  • uniform way to represent diverse data capturing spatio-temporal behavior, complex modeling requirements, partial ... databases have recently emerged to deeply integrate data captured by constraints in databases. This paper ... constraint database features. The CCUBE data manipulation language, Constraint Comprehension Calculus, is an integration ... constraint spatio-temporal (CST) objects that may hold spatial, temporal or constraint data, conceptually represented...
  • Surveillance

  • Referenced in 23 articles [sw00932]
  • source software for the temporal and spatio-temporal visualization, modelling and monitoring of epidemic phenomena ... This includes count, binary and categorical data time series as well as continuous-time processes...
  • plotGoogleMaps

  • Referenced in 3 articles [sw24245]
  • package plotGoogleMaps: Plot Spatial or Spatio-Temporal Data Over Google Maps. Provides an interactive plot...
  • momentuHMM

  • Referenced in 4 articles [sw21676]
  • data; 6) seamless integration of spatio-temporal covariate raster data; 7) cosinor and spline models...
  • FCLib

  • Referenced in 2 articles [sw00267]
  • data discovery in large scale spatio-temporal data. The toolkit is a C library...
  • CARBayesdata

  • Referenced in 1 article [sw25015]
  • Accompanying the CARBayes and CARBayesST Packages. Spatio-temporal data from Scotland used in the vignettes ... CARBayesST (spatio-temporal modelling) packages. For the CARBayes vignette the data include the Scottish ... cancer data and property price and respiratory hospitalisation data from the Greater Glasgow and Clyde ... CARBayesST vignette the data include spatio-temporal data on property sales and respiratory hospitalisation...
  • GA-Coupling Analyzer

  • Referenced in 2 articles [sw16834]
  • multi-layer, multi-temporal geographical model simulation data, the geometric algebra ... introduced to design methods for data modeling, spatio-temporal queries and dynamic visualization. Algorithms, including ... system is demonstrated with the simulation data of Antarctic “Ice-Ocean-Land” coupled changes ... With the powerful GA operators, the spatio-temporal analysis methods can be directly and simply...
  • spTimer

  • Referenced in 8 articles [sw24237]
  • package spTimer: Spatio-Temporal Bayesian Modelling. Fits, spatially predicts and temporally forecasts large amounts ... space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive ... Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu...
  • QUEST

  • Referenced in 1 article [sw18513]
  • Detecting spatio-temporal modes in multivariate data by entropy field decomposition. A new data analysis ... general problem of detecting spatio-temporal variations in multivariate data is presented. The method utilizes ... recent and complimentary general approaches to data analysis, information field theory (IFT) and entropy spectrum ... found to produce unique spatio-temporal modes of signal behavior that can be ranked according...
  • CARBayesST

  • Referenced in 1 article [sw15512]
  • Models for Areal Unit Data. Implements a class of spatio-temporal generalised linear mixed models ... areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (McMC ... binomial, Gaussian or Poisson. The spatio-temporal autocorrelation is modelled by random effects, which...
  • lgcp

  • Referenced in 8 articles [sw22045]
  • paper introduces an R package for spatio-temporal prediction and forecasting for log-Gaussian ... functionality is given via a walk-through data-analysis. Topics covered include reading...
  • SpatialEpiApp

  • Referenced in 0 articles [sw19114]
  • Analysis of Spatial and Spatio-Temporal Disease Data. Runs a Shiny web application that allows ... visualize spatial and spatio-temporal disease data, estimate disease risk and detect clusters. The application...
  • BerlinMOD

  • Referenced in 2 articles [sw06649]
  • moving object data (MOD) and two sets of queries for benchmarking spatio-temporal DBMS. Instead ... existing Secondo DBMS to create benchmark data. The benchmark is based on a simulation scenario...
  • RRB vector

  • Referenced in 1 article [sw19995]
  • optimization that exploits spatio-temporal locality on the RRB data structure in order to offset...
  • MNTG

  • Referenced in 1 article [sw07513]
  • instance, in spatio-temporal databases area, researchers harness road network traffic data to evaluate...
  • aipred

  • Referenced in 1 article [sw24472]
  • that relies on large amounts of input data and is highly computationally intensive to predict ... health researchers to design and train spatio-temporal models capable of predicting multiple pollutants, including ... utilize H2O, an open source big data platform, to achieve both performance and scalability when...