• bootlib

  • Referenced in 408 articles [sw40642]
  • nonlinear models, and time series, spatial data and point processes. Chapter 9 describes how variance...
  • spBayes

  • Referenced in 347 articles [sw10160]
  • region of study. Such point-referenced or geostatistical data are often best analyzed with Bayesian ... Gaussian spatial process models for univariate as well as multivariate point-referenced data. We discuss...
  • INLA

  • Referenced in 45 articles [sw07535]
  • toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA). This ... spatial point pattern data. We consider models that are based on log-Gaussian Cox processes...
  • CGAL

  • Referenced in 381 articles [sw00118]
  • volume mesh generation, skin surfaces), geometry processing (surface mesh simplification, subdivision and parameterization, as well ... enclosing sphere of points or spheres, smallest enclosing ellipsoid of points, principal component analysis ... algorithms operate on geometric objects like points and segments, and perform geometric tests on them ... Support Library offers geometric object generators and spatial sorting functions, as well as a matrix...
  • spatstat

  • Referenced in 136 articles [sw04429]
  • types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods ... segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern...
  • spatialkernel

  • Referenced in 4 articles [sw24503]
  • Parametric Estimation of Spatial Segregation in a Multivariate Point Process. Edge-corrected kernel density estimation ... binary kernel regression estimation for multivariate spatial point process data. For details, see Diggle...
  • Geoxp

  • Referenced in 7 articles [sw08289]
  • including geostatistics as well as spatial econometrics and point processes. Besides elementary plots like boxplots...
  • inlabru

  • Referenced in 2 articles [sw40209]
  • process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model...
  • Graphs

  • Referenced in 106 articles [sw12277]
  • static networks. We consider the point-to-point (approximate) shortest-path query problem, which ... systems researchers investigate materialization tradeoffs, query processing on spatial networks, and reachability queries; and theoretical...
  • convoSPAT

  • Referenced in 5 articles [sw15289]
  • convolution-based nonstationary Gaussian process models to point-referenced spatial data. The nonstationary covariance function ... specify the underlying correlation structure and which spatial dependence parameters should be allowed to vary ... over space: the anisotropy, nugget variance, and process variance. The parameters are estimated via maximum...
  • sppmix

  • Referenced in 1 article [sw27844]
  • package sppmix: Modeling Spatial Poisson and Related Point Processes. Implements classes ... methods for modeling spatial point patterns using inhomogeneous Poisson point processes, where the intensity surface...
  • NScluster

  • Referenced in 1 article [sw40285]
  • estimation for Neyman-Scott spatial cluster point process models and their extensions, based...
  • INTAMAP

  • Referenced in 3 articles [sw08292]
  • Processing Service for the automatic spatial interpolation of measured point data. Requirements were (i) using ... system couples an open-source Web Processing Service (developed by 52°North), accepting data...
  • spatialEco

  • Referenced in 1 article [sw15496]
  • global deforestation spatial products, spatial smoothing, multivariate separability, point process model for creating pseudo- absences...
  • GPfit

  • Referenced in 20 articles [sw14044]
  • model to a deterministic simulator. Gaussian process (GP) models are commonly used statistical metamodels ... numerically unstable if any pair of design points in the input space are close together ... package GPfit. A novel parameterization of the spatial correlation function and a new multi-start...
  • spBFA

  • Referenced in 1 article [sw31476]
  • prior and point-referenced spatial data is treated using a Gaussian process. The response variable...
  • TurbSim

  • Referenced in 8 articles [sw34447]
  • three-component wind-speed vectors at points in a two-dimensional vertical rectangular grid that ... space. Spectra of velocity components and spatial coherence are defined in the frequency domain ... simulating time series assumes a stationary process...
  • DTHB3D_Reg

  • Referenced in 5 articles [sw40372]
  • spline based 3D Image Registration). The optimum spatial transformation, defined using truncated hierarchical B-splines ... minimization of an energy functional. The optimization process minimizes sum of squared difference ... intensity values of the grayscale images. Control points are dynamically updated without constructing large matrices...
  • LatticeKrig

  • Referenced in 5 articles [sw15594]
  • field for large numbers of arbitrary points. There is also the flexibility for estimating ... combination (e.g. an integral) of the spatial process. Included are generic methods for prediction, standard...
  • WhiteboxTools

  • Referenced in 2 articles [sw37771]
  • transformations. WhiteboxTools also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation ... topographic position analysis), and LiDAR data processing. LiDAR point clouds can be interrogated (LidarInfo, LidarHistogram ... ground-points can be classified or filtered. WhiteboxTools is not a cartographic or spatial data...