• spatial panels

  • Referenced in 9 articles [sw30006]
  • Elhorst provides Matlab routines to estimate spatial panel data models at his website. This article ... spatial panel data model contains spatial and/or time-period fixed effects, the direct and indirect ... selection framework to determine which spatial panel data model best describes the data. To demonstrate...
  • sp

  • Referenced in 7 articles [sw22757]
  • package sp: Classes and Methods for Spatial Data. Classes and methods for spatial data ... document where the spatial location information resides, for 2D or 3D data. Utility functions ... provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving...
  • INLA

  • Referenced in 22 articles [sw07535]
  • fitting complex models to realistic spatial point pattern data. We consider models that are based...
  • CARBayes

  • Referenced in 8 articles [sw15288]
  • package CARBayes: Spatial Generalised Linear Mixed Models for Areal Unit Data. Implements a class ... univariate and multivariate spatial generalised linear mixed models for areal unit data, with inference ... variable can be binomial, Gaussian or Poisson. Spatial autocorrelation is modelled ... multivariate CAR (MCAR) model for multivariate spatial data. Full details are given in the vignette...
  • AnalyzeFMRI

  • Referenced in 12 articles [sw19796]
  • Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package ... AnalyzeFMRI R package. For fMRI data sets, spatial dimension being much greater than temporal dimension ... spatial ICA is the tractable approach generally proposed. However, for some neuroscientific applications, temporal independence ... report several experiments on synthetic data and real MRI data sets that demonstrate the potential...
  • Pysal

  • Referenced in 9 articles [sw08463]
  • sciences, to develop a library of spatial data analysis modules, to develop prototypes implementing state...
  • Geoxp

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

  • Referenced in 6 articles [sw06026]
  • Spatial Statistics Software and Spatial Data. The public domain Spatial Statistics Toolbox for Matlab ... includes the most common estimators employed in spatial econometrics. These products use sparse matrices ... expand the size of potential data sets analyzed...
  • Geo-sal

  • Referenced in 4 articles [sw28465]
  • query language for spatial data analysis. Conventional query languages focus on the retrieval and modification ... support stepwise, in-depth analysis of data, stored and managed as relations in a specially ... successor of SAL being developed for spatial data analysis purposes. In addition to facilities needed ... representation and retrieval of spatial data, Geo-SAL includes primitives and structures which permit...
  • VARIOWIN

  • Referenced in 4 articles [sw02149]
  • VARIOWIN. Software for spatial data analysis in 2D. VARIOWIN is a collection of four Windows ... Grid Display – that are used for spatial data analysis and variogram modelling of irregularly spaced ... binary file containing pairs of data sorted in terms of increasing distance. Pair comparison files ... Vario2D with PCF is used for spatial data analysis of 2D data. It uses...
  • SpaceStat

  • Referenced in 5 articles [sw23669]
  • spatial econometrics. Time is an integral part of SpaceStat. All views of the data ... results, can be linked together to enable data discovery and reveal new insights. SpaceStat provides ... spatiotemporal and statistical tools including: exploratory spatial data analysis; spatial econometric analyses; and the creation...
  • gcmr

  • Referenced in 25 articles [sw07433]
  • time series, cross-design data, longitudinal studies, survival analysis and spatial regression...
  • ADE-4

  • Referenced in 6 articles [sw14077]
  • principal component analysis and correspondence analysis, spatial data analysis methods (using a total variance decomposition...
  • dbscan

  • Referenced in 5 articles [sw16291]
  • algorithms of the DBSCAN family for spatial data. Includes the DBSCAN (density-based spatial clustering ... algorithm. The implementations uses the kd-tree data structure (from library ANN) for faster...
  • EFDR

  • Referenced in 8 articles [sw11106]
  • also provides elementary tools to interpolate spatially irregular data onto a grid of the required ... Cressie, N. ’Nonparametric hypothesis testing for a spatial signal.’ Journal of the American Statistical Association...
  • sf

  • Referenced in 8 articles [sw25006]
  • features, a standardized way to encode spatial vector data. Binds to ’GDAL’ for reading...
  • Spatial-Yap

  • Referenced in 2 articles [sw13884]
  • fast growing is that of spatial data. In this paper we describe the application ... database system to the handling of spatial data, and the needed extensions, namely the ability ... state-of-the-art of spatial data handling in all of its aspects, namely ... spatial data modeling, spatial querying and spatial data mining. We describe, in particular, the application...
  • fdaPDE

  • Referenced in 4 articles [sw21040]
  • Equations; Statistical Analysis of Functional and Spatial Data, Based on Regression with Partial Differential Regularizations ... Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains ... domain. A priori information about the spatial structure of the phenomenon under study...
  • spatialCovariance

  • Referenced in 3 articles [sw08226]
  • spatialCovariance: Computation of spatial covariance matrices for data on rectangles. Functions that compute the spatial ... matern and power classes of spatial models, for data that arise on rectangular units. This ... change of support problem and for spatial data that arise on irregularly shaped regions like...
  • GWmodel

  • Referenced in 4 articles [sw08531]
  • model suits situations when spatial data are poorly described by the global form ... mapped so that the nature of spatial heterogeneity can be explored and assessed. In particular ... enhanced kernel bandwidth selection procedures. General Election data sets from the Republic of Ireland...