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spatstat.explore (version 3.8-2)

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

80,801

Version

3.8-2

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

July 27th, 2026

Functions in spatstat.explore (3.8-2)

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

Inhomogeneous Marked F-Function

Inhomogeneous Empty Space Function

Estimate the Empty Space Function or its Hazard Rate

Extract Subset of Function Array

Empty Space Function of a Three-Dimensional Point Pattern

Extract or Replace Subset of Function Values

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

Subset of spatially sampled function

Diagnostics for random marking

Spherical Contact Distribution Function

Inhomogeneous Multitype G Cross Function

Inhomogeneous Marked G-Function

Integrated Squared Error on an Envelope Object

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

Nearest Neighbour Distance Function G

Foxall's Distance Functions

Inhomogeneous Multitype G Dot Function

Marked Nearest Neighbour Distance Function

Inhomogeneous Nearest Neighbour Function

K-function of a Three-Dimensional Point Pattern

Inhomogeneous Multitype J function (i-to-any)

Inhomogeneous Multitype J function (i-to-j)

Estimate the I-function

Estimate the J-function

Marked J Function

Multitype J Function (i-to-any)

Multitype J Function (i-to-j)

Inhomogeneous Marked J-Function

Inhomogeneous J-function

Inhomogeneous Cross K Function

K-function using FFT

Multitype K Function (Cross-type)

Inhomogeneous K-function

Multitype K Function (i-to-any)

Mark-Weighted K Function

Reduced Second Moment Measure

Inhomogeneous Multitype K Dot Function

Marked K-Function

Inhomogeneous Marked K-Function

Sector K-function

Mean Integrated Squared Error on an Envelope Object

Locally Scaled K-function

Multitype L-function (cross-type)

Inhomogeneous L-function

Inhomogeneous Cross Type L Function

Multitype L-function (i-to-any)

Inhomogeneous Multitype L Dot Function

Smooth a Spatially Sampled Function

Spatial Smoothing of Data by Diffusion

S3 Group Generic Methods for Function Tables

S3 Group Generic Methods for Function Arrays

Spatial Smoothing of Observations using Diffusion Estimate of Density

SmoothAdaptiveKernel

Spatial Smoothing of Marks using Adaptive Kernel

Spatial smoothing of observations at irregular points

Apply Smoothing to Function Values

Spatial smoothing of data

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

Third order summary statistic

Calculate four standard summary functions of a point pattern.

SpatialQuantile

Spatially Weighted Median or Quantile

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

Calculate Summary Statistic for All Types in a Multitype Point Pattern

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

Smooth Interpolation of Marks as a Spatial Function

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

Combine Function Value Tables

as.function.rhohat

Convert Function Table to Function

Area Under ROC Curve for Point Pattern Data

Global Envelopes for Balanced Independent Two-Stage Test

Berman's Tests for Point Process Model

Convert Data To Class fv

Balanced Independent Two-Stage Monte Carlo Test

Convert Function Value Table to Function

Convert Data To Tessellation

as.owin.quadrattest

Convert Data To Class owin

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Adjust Bandwidth Selection Rule to Account for Inhomogeneity

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

Bandwidth Selection Based on Window Geometry

Cross Validated Bandwidth Selection for Kernel Density

bw.CvL.adaptive

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

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Apply Gaussian Blur to a Pixel Image

Stoyan's and Fiksel's Rules of Thumb for Bandwidth for Estimating Pair Correlation

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Cross Validated Bandwidth Selection for Relative Risk Estimation

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Cross Validated Bandwidth Selection for Inhomogeneous Pair Correlation Function

Cross Validated Bandwidth Selection for Spatial Smoothing

bw.optim.object

Class of Optimized Bandwidths

Cross Validated Bandwidth Selection for Pair Correlation Function

bw.relriskHeatppp

Bandwidth Selection for Relative Risk using Diffusion

Scott's Rule for Bandwidth Selection for Kernel Density

clarkevans.test

Clark and Evans Test

Spatial Distribution Test for Point Pattern or Point Process Model

Clark and Evans Aggregation Index

compatible.fasp

Test Whether Function Arrays Are Compatible

Allard-Fraley Estimator of Cluster Feature

Generic Calculation of Cumulative Distribution Function of Distances

Test Whether Function Objects Are Compatible

Collapse Several Function Tables into One

Density Estimation for Circular Data

Generic Calculation of K Function and Pair Correlation Function

Kernel Smoothing of Line Segment Pattern

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

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

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Kernel Smoothed Intensity of Point Pattern

Covariance and Correlation between Images

densityAdaptiveKernel.ppp

Adaptive Kernel Estimate of Intensity of Point Pattern

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

Identify Dense and Sparse Regions in a Point Pattern

Progress Plot of Test of Spatial Pattern

Kernel Estimate of Intensity as a Spatial Function

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Global Envelopes for Dao-Genton Test

Significance Trace of Dao-Genton Test

Estimate Dimension of Central Subspace

Dao-Genton Adjusted Goodness-Of-Fit Test

Calculate Derivative of Function Values

Progress Plot of Dao-Genton Test of Spatial Pattern

Diffusion Estimate of Point Pattern Intensity

Translation Edge Correction

Ripley's Isotropic Edge Correction

Simulation Envelopes of Summary Function for 3D Point Pattern

envelope.envelope

Recompute Envelopes

Simulation Envelopes of Summary Function

Distribution Function of Interpoint Distance

domain.quadrattest

Extract the Domain of any Spatial Object

Array of Simulation Envelopes of Summary Function

Evaluate Expression Involving Functions

Evaluate Expression Involving Function Arrays

Heat Kernel for a Two-Dimensional Rectangle

Fry Plot of Point Pattern

Function Arrays for Spatial Patterns

Make Function Tables Compatible

Abbreviations for Groups of Columns in Function Value Table

Function Value Table

Extract or Change the Plot Formula for a Function Value Table

Inverse-distance weighted smoothing of observations at irregular points

Hopkins-Skellam Test

Create a Function Value Table

Local pair correlation function

Compute Integral of Function Object

Increments of a Function

Local Multitype K Function (Dot-Type)

localKcross.inhom

Inhomogeneous Multitype K Function

Local Multitype K Function (Cross-Type)

Inhomogeneous Neighbourhood Density Function

Bootstrap Confidence Bands for Summary Function

Laslett's Transform

Neighbourhood density function

Mark Cross-Correlation Function

markmarkscatter

Mark-Mark Scatter Plot

Mark Connection Function

Mark Equality Function

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Methods for Spatially Sampled Functions

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Methods for Intensity Functions of Spatial Covariate

Mark Correlation Function

Nearest Neighbour Orientation Distribution

Nearest Neighbour Type-Equality Function

Nearest Neighbour Cross-Type Occurrence Count Function

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Point Pair Orientation Distribution

Mean of a Function of Interpoint Distance

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Nearest Neighbour Clutter Removal

Morisita Index Plot

Scatterplot Matrix for Pixel Images

Pair Correlation Function of a Three-Dimensional Point Pattern

Panel Plots using Colour Image or Contour Lines

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Multitype pair correlation function (cross-type)

Pair Correlation Function of Point Pattern

Multitype pair correlation function (i-to-any)

Pair Correlation Function obtained from array of K functions

Pair Correlation Function obtained from K Function

Pair Correlation Function

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

Marked pair correlation function

Plot Function Values

Plot a Spatial Distribution Test

Plot Laslett Transform

Plot a Simulation Envelope

Plot a Function Array

plot.quadrattest

Display the result of a quadrat counting test.

Inhomogeneous Pair Correlation Function

Inhomogeneous Multitype Pair Correlation Function

plot.bermantest

Plot Result of Berman Test

Pool Several Functions

Pool Data from Several Ratio Objects

Plot Result of Scan Test

Pool Data from Several Function Arrays

plot.studpermutest

Plot a Studentised Permutation Test

Plot a Spatially Sampled Function

Pool Data from Several Envelopes

pool.quadrattest

Pool Several Quadrat Tests

Pool Data from a List of Objects

quadrat.test.splitppp

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

reload.or.compute

Perform Computations or Retrieve Results From File

Diffusion Estimate of Conditional Probabilities

ptwise.envelope

Pointwise Statistics on an Envelope Object

Radial Cumulative Integral

Contact Distribution Function using Rectangular Structuring Element

Estimate of Spatially-Varying Relative Risk

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Nonparametric Estimate of Spatially-Varying Relative Risk

Nonparametric Estimate of Intensity as Function of a Covariate

Rotational Average of a Pixel Image

Compute Predictors from Sufficient Dimension Reduction

Sufficient Dimension Reduction

Receiver Operating Characteristic

Smoothed Relative Density of Pairs of Covariate Values

Spatial Scan Test

Receiver Operating Characteristic

Likelihood Ratio Test Statistic for Scan Test

Studentised Permutation Test

Spatial Cumulative Distribution Function

Stienen Diagram

spatstat.explore-internal

Internal spatstat.explore functions

Spatially Sampled Function

segregation.test

Test of Spatial Segregation of Types

spatstat.explore-package

The spatstat.explore Package

Data Sharpening of Point Pattern

Estimate the Spatial Covariance Function of a Random Field

spatstat.explore-deprecated

Deprecated spatstat.explore functions

Evaluate Expression in a Spatially Sampled Function

Confidence Interval for Threshold of Numerical Predictor

Estimate Variance of Summary Statistic by Subdivision

Pixel Values Along a Transect

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Tolerance Contours for Relative Risk

Youden Statistic

Evaluate an Expression in a Function Table

subspaceDistance

Distance Between Linear Spaces