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spatstat.explore (version 3.8-0)

Exploratory Data Analysis for the 'spatstat' Family

Description

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.

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Version

Install

install.packages('spatstat.explore')

Monthly Downloads

67,872

Version

3.8-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2026

Functions in spatstat.explore (3.8-0)

Estimate the Empty Space Function or its Hazard Rate

Diagnostics for random marking

Inhomogeneous Marked F-Function

Subset of spatially sampled function

Extract Subset of Function Array

Multitype Nearest Neighbour Distance Function (i-to-j)

Empty Space Function of a Three-Dimensional Point Pattern

Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern

Inhomogeneous Empty Space Function

Extract or Replace Subset of Function Values

Nearest Neighbour Distance Function G

Inhomogeneous Multitype G Cross Function

Integrated Squared Error on an Envelope Object

Inhomogeneous Nearest Neighbour Function

Inhomogeneous Marked G-Function

Spherical Contact Distribution Function

Inhomogeneous Multitype G Dot Function

Marked Nearest Neighbour Distance Function

Multitype Nearest Neighbour Distance Function (i-to-any)

Foxall's Distance Functions

Inhomogeneous Multitype J function (i-to-j)

Estimate the I-function

Inhomogeneous Multitype J function (i-to-any)

Multitype J Function (i-to-j)

K-function of a Three-Dimensional Point Pattern

Inhomogeneous J-function

Estimate the J-function

Inhomogeneous Marked J-Function

Marked J Function

Multitype J Function (i-to-any)

Multitype K Function (Cross-type)

Inhomogeneous K-function

Inhomogeneous Multitype K Dot Function

Inhomogeneous Cross K Function

Mark-Weighted K Function

Multitype K Function (i-to-any)

Reduced Second Moment Measure

Marked K-Function

K-function using FFT

Inhomogeneous Cross Type L Function

Sector K-function

Inhomogeneous Marked K-Function

Inhomogeneous Multitype L Dot Function

Locally Scaled K-function

Inhomogeneous L-function

Mean Integrated Squared Error on an Envelope Object

Multitype L-function (i-to-any)

Multitype L-function (cross-type)

Apply Smoothing to Function Values

S3 Group Generic Methods for Function Tables

Transform a Function into its P-P or Q-Q Version

Spatial Smoothing of Data by Diffusion

Smooth Interpolation of Marks as a Spatial Function

S3 Group Generic Methods for Function Arrays

Spatial Smoothing of Observations using Diffusion Estimate of Density

Smooth a Spatially Sampled Function

Spatial smoothing of data

Spatial smoothing of observations at irregular points

Third order summary statistic

Calculate four standard summary functions of a point pattern.

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

Calculate Summary Statistic for All Types in a Multitype Point Pattern

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

SpatialQuantile

Spatially Weighted Median or Quantile

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Window.quadrattest

Extract Window of Spatial Object

as.data.frame.envelope

Coerce Envelope to Data Frame

Convert Function Value Table to Function

Global Envelopes for Balanced Independent Two-Stage Test

as.function.rhohat

Convert Function Table to Function

Balanced Independent Two-Stage Monte Carlo Test

Area Under ROC Curve for Point Pattern Data

Convert Data To Class fv

Apply Gaussian Blur to a Pixel Image

as.owin.quadrattest

Convert Data To Class owin

Berman's Tests for Point Process Model

Convert Data To Tessellation

Combine Function Value Tables

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density

Cross Validated Bandwidth Selection for Kernel Density

Bandwidth Selection Based on Window Geometry

bw.optim.object

Class of Optimized Bandwidths

bw.CvL.adaptive

Select Adaptive Bandwidth for Kernel Estimation Using Cronie-Van Lieshout Criterion

Adjust Bandwidth Selection Rule to Account for Inhomogeneity

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Scott's Rule for Bandwidth Selection for Kernel Density

Cross Validated Bandwidth Selection for Inhomogeneous Pair Correlation Function

Stoyan's Rule of Thumb for Bandwidth for Estimating Pair Correlation

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Cross Validated Bandwidth Selection for Pair Correlation Function

bw.relriskHeatppp

Bandwidth Selection for Relative Risk using Diffusion

Spatial Distribution Test for Point Pattern or Point Process Model

Cross Validated Bandwidth Selection for Relative Risk Estimation

Cross Validated Bandwidth Selection for Spatial Smoothing

Covariance and Correlation between Images

clarkevans.test

Clark and Evans Test

Test Whether Function Objects Are Compatible

compatible.fasp

Test Whether Function Arrays Are Compatible

Allard-Fraley Estimator of Cluster Feature

Generic Calculation of Cumulative Distribution Function of Distances

Clark and Evans Aggregation Index

Density Estimation for Circular Data

Collapse Several Function Tables into One

Generic Calculation of K Function and Pair Correlation Function

Progress Plot of Test of Spatial Pattern

Identify Dense and Sparse Regions in a Point Pattern

Kernel Smoothing of Line Segment Pattern

Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test

Diffusion Estimate of Point Pattern Intensity

Kernel Smoothed Intensity of Point Pattern

densityAdaptiveKernel.ppp

Adaptive Kernel Estimate of Intensity of Point Pattern

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Kernel Estimate of Intensity as a Spatial Function

Significance Trace of Dao-Genton Test

Estimate Dimension of Central Subspace

Distribution Function of Interpoint Distance

Global Envelopes for Dao-Genton Test

Calculate Derivative of Function Values

Dao-Genton Adjusted Goodness-Of-Fit Test

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Progress Plot of Dao-Genton Test of Spatial Pattern

Function Arrays for Spatial Patterns

Array of Simulation Envelopes of Summary Function

Simulation Envelopes of Summary Function for 3D Point Pattern

Translation Edge Correction

envelope.envelope

Recompute Envelopes

Ripley's Isotropic Edge Correction

Evaluate Expression Involving Functions

Evaluate Expression Involving Function Arrays

Simulation Envelopes of Summary Function

domain.quadrattest

Extract the Domain of any Spatial Object

Heat Kernel for a Two-Dimensional Rectangle

Abbreviations for Groups of Columns in Function Value Table

Create a Function Value Table

Make Function Tables Compatible

Inverse-distance weighted smoothing of observations at irregular points

Extract or Change the Plot Formula for a Function Value Table

Fry Plot of Point Pattern

Increments of a Function

Hopkins-Skellam Test

Function Value Table

Inhomogeneous Neighbourhood Density Function

Local Multitype K Function (Dot-Type)

Laslett's Transform

Mark Connection Function

Neighbourhood density function

Local pair correlation function

localKcross.inhom

Inhomogeneous Multitype K Function

Local Multitype K Function (Cross-Type)

Compute Integral of Function Object

Bootstrap Confidence Bands for Summary Function

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Morisita Index Plot

Mark Cross-Correlation Function

Mark Equality Function

markmarkscatter

Mark-Mark Scatter Plot

Methods for Intensity Functions of Spatial Covariate

Methods for Spatially Sampled Functions

Mark Correlation Function

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Scatterplot Matrix for Pixel Images

Panel Plots using Colour Image or Contour Lines

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Nearest Neighbour Type-Equality Function

Mean of a Function of Interpoint Distance

Nearest Neighbour Clutter Removal

Point Pair Orientation Distribution

Nearest Neighbour Cross-Type Occurrence Count Function

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Nearest Neighbour Orientation Distribution

Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)

Multitype pair correlation function (cross-type)

Pair Correlation Function of a Three-Dimensional Point Pattern

Pair Correlation Function obtained from array of K functions

Pair Correlation Function

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Multitype pair correlation function (i-to-any)

Pair Correlation Function of Point Pattern

Pair Correlation Function obtained from K Function

Inhomogeneous Pair Correlation Function

Plot a Simulation Envelope

Plot a Spatial Distribution Test

plot.bermantest

Plot Result of Berman Test

Plot a Function Array

Inhomogeneous Multitype Pair Correlation Function

Marked pair correlation function

Plot Laslett Transform

Plot Function Values

plot.quadrattest

Display the result of a quadrat counting test.

Plot Result of Scan Test

Plot a Spatially Sampled Function

pool.quadrattest

Pool Several Quadrat Tests

Pool Data from Several Ratio Objects

Pool Data from Several Function Arrays

Pool Data from a List of Objects

ptwise.envelope

Pointwise Statistics on an Envelope Object

Pool Data from Several Envelopes

Pool Several Functions

plot.studpermutest

Plot a Studentised Permutation Test

Diffusion Estimate of Conditional Probabilities

reload.or.compute

Perform Computations or Retrieve Results From File

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Estimate of Spatially-Varying Relative Risk

Contact Distribution Function using Rectangular Structuring Element

quadrat.test.splitppp

Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts

Smoothed Relative Density of Pairs of Covariate Values

Radial Cumulative Integral

Nonparametric Estimate of Spatially-Varying Relative Risk

Receiver Operating Characteristic

Sufficient Dimension Reduction

Nonparametric Estimate of Intensity as Function of a Covariate

Receiver Operating Characteristic

Rotational Average of a Pixel Image

segregation.test

Test of Spatial Segregation of Types

Compute Predictors from Sufficient Dimension Reduction

Likelihood Ratio Test Statistic for Scan Test

Spatial Scan Test

Estimate the Spatial Covariance Function of a Random Field

Studentised Permutation Test

spatstat.explore-deprecated

Deprecated spatstat.explore functions

spatstat.explore-internal

Internal spatstat.explore functions

spatstat.explore-package

The spatstat.explore Package

Spatially Sampled Function

Stienen Diagram

Data Sharpening of Point Pattern

Spatial Cumulative Distribution Function

subspaceDistance

Distance Between Linear Spaces

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Youden Statistic

Pixel Values Along a Transect

Evaluate an Expression in a Function Table

Tolerance Contours for Relative Risk

Estimate Variance of Summary Statistic by Subdivision

Evaluate Expression in a Spatially Sampled Function

Confidence Interval for Threshold of Numerical Predictor