Exploratory Data Analysis for the 'spatstat' Family
S3 Group Generic Methods for Function Tables
Pair Correlation Function
Pair Correlation Function of a Three-Dimensional Point Pattern
Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
Multitype pair correlation function (cross-type)
Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
Multitype pair correlation function (i-to-any)
Inhomogeneous Pair Correlation Function
Marked pair correlation function
Plot Result of Berman Test
Plot a Spatially Sampled Function
Pool Several Functions
Pool Several Quadrat Tests
Pool Data from Several Ratio Objects
Pool Data
Transform a Function into its P-P or Q-Q Version
Pointwise Statistics on an Envelope Object
Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts
Receiver Operating Characteristic
Rose Diagram
Rotational Average of a Pixel Image
Spatial Scan Test
Likelihood Ratio Test Statistic for Scan Test
Sufficient Dimension Reduction
Compute Predictors from Sufficient Dimension Reduction
Test of Spatial Segregation of Types
Data Sharpening of Point Pattern
Apply Smoothing to Function Values
Spatial smoothing of observations at irregular points
Spatial smoothing of data
Smooth a Spatially Sampled Function
Select Threshold to Convert Numerical Predictor to Binary Predictor
Evaluate Expression in a Spatially Sampled Function
Youden Statistic
Convert Function Table to Function
Convert Data To Class fv
Convert Data To Class owin
Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validat...
Cross Validated Bandwidth Selection for Relative Risk Estimation
Ripley's Isotropic Edge Correction
Translation Edge Correction
Diagnostics for random marking
Recompute Envelopes
Simulation Envelopes of Summary Function for 3D Point Pattern
Simulation Envelopes of Summary Function
Array of Simulation Envelopes of Summary Function
Evaluate Expression Involving Function Arrays
Evaluate Expression Involving Functions
S3 Group Generic Methods for Function Arrays
Heat Kernel for a Two-Dimensional Rectangle
Inverse-distance weighted smoothing of observations at irregular point...
Estimate the I-function
Increments of a Function
Compute Integral of Function Object
Integrated Squared Error on an Envelope Object
Inhomogeneous Multitype J function (i-to-j)
Multitype J Function (i-to-j)
Inhomogeneous Multitype J function (i-to-any)
Multitype J Function (i-to-any)
Estimate the J-function
Inhomogeneous J-function
Inhomogeneous Marked J-Function
Marked J Function
K-function of a Three-Dimensional Point Pattern
Inhomogeneous Cross K Function
Multitype K Function (Cross-type)
Inhomogeneous Multitype K Dot Function
Multitype K Function (i-to-any)
K-function using FFT
K-function
Inhomogeneous K-function
Mark-Weighted K Function
Reduced Second Moment Measure
Inhomogeneous Marked K-Function
Marked K-Function
Locally Scaled K-function
Extract Subset of Function Array
Extract or Replace Subset of Function Values
Subset of spatially sampled function
Empty Space Function of a Three-Dimensional Point Pattern
Abbreviations for Groups of Columns in Function Value Table
Nearest Neighbour Distance Distribution Function of a Three-Dimensiona...
Inhomogeneous Multitype G Cross Function
Multitype Nearest Neighbour Distance Function (i-to-j)
Inhomogeneous Multitype G Dot Function
Multitype Nearest Neighbour Distance Function (i-to-any)
Nearest Neighbour Distance Function G
Foxall's Distance Functions
Inhomogeneous Nearest Neighbour Function
Marked Nearest Neighbour Distance Function
Inhomogeneous Marked G-Function
Make Function Tables Compatible
Spherical Contact Distribution Function
Hopkins-Skellam Test
Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellati...
Calculate Derivative of Function Values
Global Envelopes for Dao-Genton Test
Progress Plot of Dao-Genton Test of Spatial Pattern
Significance Trace of Dao-Genton Test
Dao-Genton Adjusted Goodness-Of-Fit Test
Estimate Dimension of Central Subspace
Distribution Function of Interpoint Distance
Extract the Domain of any Spatial Object
Mean Integrated Squared Error on an Envelope Object
Nearest Neighbour Clutter Removal
Nearest-Neighbour Correlation Indices of Marked Point Pattern
Nearest Neighbour Cross-Type Occurrence Count Function
Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
Nearest Neighbour Type-Equality Function
Nearest Neighbour Orientation Distribution
Deprecated spatstat.explore functions
Internal spatstat.explore functions
The spatstat.explore Package
Spatially Sampled Function
Stienen Diagram
Studentised Permutation Test
Distance Between Linear Spaces
Confidence Interval for Threshold of Numerical Predictor
Clark and Evans Aggregation Index
Clark and Evans Test
Allard-Fraley Estimator of Cluster Feature
Kernel Smoothed Intensity of Point Pattern
Adaptive Estimate of Intensity of Point Pattern
Calculate four standard summary functions of a point pattern.
Calculate Summary Statistic for All Types in a Multitype Point Pattern
Coerce Envelope to Data Frame
Convert Function Value Table to Function
Convert Data To Tessellation
Area Under ROC Curve for Point Pattern Data
Berman's Tests for Point Process Model
Combine Function Value Tables
Global Envelopes for Balanced Independent Two-Stage Test
Balanced Independent Two-Stage Monte Carlo Test
Apply Gaussian Blur to a Pixel Image
Diffusion Blur
Boyce Index
Abramson's Adaptive Bandwidths For Spatial Point Pattern
Adjust Bandwidth Selection Rule to Account for Inhomogeneity
Select Adaptive Bandwidth for Kernel Estimation Using Cronie-Van Liesh...
Diffusion Estimate of Point Pattern Intensity
Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel...
Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule
Cross Validated Bandwidth Selection for Kernel Density
Bandwidth Selection Based on Window Geometry
Class of Optimized Bandwidths
Cross Validated Bandwidth Selection for Pair Correlation Function
Cross Validated Bandwidth Selection for Inhomogeneous Pair Correlation...
Likelihood Cross Validation Bandwidth Selection for Kernel Density
Bandwidth Selection for Relative Risk using Diffusion
Scott's Rule for Bandwidth Selection for Kernel Density
Cross Validated Bandwidth Selection for Spatial Smoothing
Stoyan's Rule of Thumb for Bandwidth for Estimating Pair Correlation
Spatial Distribution Test for Point Pattern or Point Process Model
Density Estimation for Circular Data
Collapse Several Function Tables into One
Test Whether Function Arrays Are Compatible
Test Whether Function Objects Are Compatible
Generic Calculation of Cumulative Distribution Function of Distances
Generic Calculation of K Function and Pair Correlation Function
Covariance and Correlation between Images
Progress Plot of Test of Spatial Pattern
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviat...
Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
Kernel Smoothing of Line Segment Pattern
Kernel Smoothed Intensity of Split Point Pattern
Adaptive Kernel Estimate of Intensity of Point Pattern
Adaptive Kernel Estimate of Intensity for Split Point Pattern
Kernel Estimate of Intensity as a Spatial Function
Diffusion Estimate of Point Pattern Intensity
Function Arrays for Spatial Patterns
Estimate the Empty Space Function or its Hazard Rate
Inhomogeneous Empty Space Function
Inhomogeneous Marked F-Function
Extract or Change the Plot Formula for a Function Value Table
Fry Plot of Point Pattern
Function Value Table
Create a Function Value Table
Sector K-function
Laslett's Transform
Inhomogeneous Cross Type L Function
Multitype L-function (cross-type)
Inhomogeneous Multitype L Dot Function
Multitype L-function (i-to-any)
L-function
Inhomogeneous L-function
Neighbourhood density function
Inhomogeneous Multitype K Function
Local Multitype K Function (Cross-Type)
Local Multitype K Function (Dot-Type)
Inhomogeneous Neighbourhood Density Function
Local pair correlation function
Bootstrap Confidence Bands for Summary Function
Mark Connection Function
Mark Correlation Function
Mark Cross-Correlation Function
Mark Equality Function
Mark-Mark Scatter Plot
Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
Mark Variogram
Methods for Intensity Functions of Two Spatial Covariates
Methods for Intensity Functions of Spatial Covariate
Methods for Spatially Sampled Functions
Morisita Index Plot
Mean of a Function of Interpoint Distance
Point Pair Orientation Distribution
Scatterplot Matrix for Pixel Images
Panel Plots using Colour Image or Contour Lines
Pair Correlation Function obtained from array of K functions
Pair Correlation Function obtained from K Function
Pair Correlation Function of Point Pattern
Plot Result of Scan Test
Plot a Spatial Distribution Test
Plot a Simulation Envelope
Plot a Function Array
Plot Function Values
Plot Laslett Transform
Display the result of a quadrat counting test.
Diffusion Estimate of Conditional Probabilities
Smoothed Relative Density of Pairs of Covariate Values
Nonparametric Estimate of Intensity as Function of a Covariate
Receiver Operating Characteristic
Plot a Studentised Permutation Test
Pool Data from a List of Objects
Pool Data from Several Envelopes
Pool Data from Several Function Arrays
Spatially Weighted Median or Quantile
Radial Cumulative Integral
Ratio object
Contact Distribution Function using Rectangular Structuring Element
Perform Computations or Retrieve Results From File
Nonparametric Estimate of Spatially-Varying Relative Risk
Estimate of Spatially-Varying Relative Risk
Smooth Interpolation of Marks as a Spatial Function
Spatial Smoothing of Observations using Diffusion Estimate of Density
Spatial Smoothing of Data by Diffusion
Estimate the Spatial Covariance Function of a Random Field
Spatial Cumulative Distribution Function
Spatially Weighted Median of Values at Points
Spatially Weighted Quantile of Values at Points
Tolerance Contours for Relative Risk
Pixel Values Along a Transect
Third order summary statistic
Estimate Variance of Summary Statistic by Subdivision
Extract Window of Spatial Object
Evaluate an Expression in a Function Table
Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.