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spatstat.explore (version 3.7-0)

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

75,391

Version

3.7-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

January 22nd, 2026

Functions in spatstat.explore (3.7-0)

Inhomogeneous Empty Space Function

Empty Space Function of a Three-Dimensional Point Pattern

Subset of spatially sampled function

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

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

Estimate the Empty Space Function or its Hazard Rate

Diagnostics for random marking

Inhomogeneous Marked F-Function

Extract or Replace Subset of Function Values

Extract Subset of Function Array

Inhomogeneous Multitype G Cross Function

Integrated Squared Error on an Envelope Object

Marked Nearest Neighbour Distance Function

Spherical Contact Distribution Function

Inhomogeneous Marked G-Function

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

Inhomogeneous Multitype G Dot Function

Nearest Neighbour Distance Function G

Inhomogeneous Nearest Neighbour Function

Foxall's Distance Functions

Estimate the J-function

Inhomogeneous Multitype J function (i-to-any)

Inhomogeneous Multitype J function (i-to-j)

K-function of a Three-Dimensional Point Pattern

Marked J Function

Multitype J Function (i-to-any)

Inhomogeneous Marked J-Function

Multitype J Function (i-to-j)

Estimate the I-function

Inhomogeneous J-function

Reduced Second Moment Measure

Inhomogeneous Cross K Function

Inhomogeneous Multitype K Dot Function

Inhomogeneous K-function

Multitype K Function (i-to-any)

Mark-Weighted K Function

Marked K-Function

Multitype K Function (Cross-type)

K-function using FFT

Inhomogeneous Cross Type L Function

Multitype L-function (cross-type)

Inhomogeneous Multitype L Dot Function

Locally Scaled K-function

Mean Integrated Squared Error on an Envelope Object

Multitype L-function (i-to-any)

Inhomogeneous Marked K-Function

Sector K-function

Inhomogeneous L-function

Spatial Smoothing of Observations using Diffusion Estimate of Density

Spatial Smoothing of Data by Diffusion

Smooth a Spatially Sampled Function

Spatial smoothing of data

S3 Group Generic Methods for Function Arrays

Spatial smoothing of observations at irregular points

Apply Smoothing to Function Values

S3 Group Generic Methods for Function Tables

Smooth Interpolation of Marks as a Spatial Function

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

as.data.frame.envelope

Coerce Envelope to Data Frame

Window.quadrattest

Extract Window of Spatial Object

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

Convert Function Value Table to Function

Third order summary statistic

SpatialQuantile

Spatially Weighted Median or Quantile

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Calculate four standard summary functions of a point pattern.

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Area Under ROC Curve for Point Pattern Data

as.function.rhohat

Convert Function Table to Function

Berman's Tests for Point Process Model

Combine Function Value Tables

Balanced Independent Two-Stage Monte Carlo Test

as.owin.quadrattest

Convert Data To Class owin

Global Envelopes for Balanced Independent Two-Stage Test

Convert Data To Class fv

Apply Gaussian Blur to a Pixel Image

Convert Data To Tessellation

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

bw.optim.object

Class of Optimized Bandwidths

Bandwidth Selection Based on Window Geometry

Cross Validated Bandwidth Selection for Kernel Density

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Abramson's Adaptive Bandwidths For Spatial Point Pattern

bw.CvL.adaptive

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

Adjust Bandwidth Selection Rule to Account for Inhomogeneity

Cross Validated Bandwidth Selection for Pair Correlation Function

Cross Validated Bandwidth Selection for Spatial Smoothing

bw.relriskHeatppp

Bandwidth Selection for Relative Risk using Diffusion

Cross Validated Bandwidth Selection for Relative Risk Estimation

Cross Validated Bandwidth Selection for Inhomogeneous Pair Correlation Function

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Scott's Rule for Bandwidth Selection for Kernel Density

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

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Spatial Distribution Test for Point Pattern or Point Process Model

Density Estimation for Circular Data

Covariance and Correlation between Images

compatible.fasp

Test Whether Function Arrays Are Compatible

Collapse Several Function Tables into One

Test Whether Function Objects Are Compatible

Generic Calculation of K Function and Pair Correlation Function

Clark and Evans Aggregation Index

Generic Calculation of Cumulative Distribution Function of Distances

clarkevans.test

Clark and Evans Test

Allard-Fraley Estimator of Cluster Feature

Kernel Smoothing of Line Segment Pattern

Progress Plot of Test of Spatial Pattern

Diffusion Estimate of Point Pattern Intensity

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Kernel Smoothed Intensity of Point Pattern

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

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

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

densityAdaptiveKernel.ppp

Adaptive Kernel Estimate of Intensity of Point Pattern

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

domain.quadrattest

Extract the Domain of any Spatial Object

Estimate Dimension of Central Subspace

Dao-Genton Adjusted Goodness-Of-Fit Test

Distribution Function of Interpoint Distance

Calculate Derivative of Function Values

Global Envelopes for Dao-Genton Test

Significance Trace of Dao-Genton Test

Kernel Estimate of Intensity as a Spatial Function

Progress Plot of Dao-Genton Test of Spatial Pattern

Translation Edge Correction

Simulation Envelopes of Summary Function for 3D Point Pattern

envelope.envelope

Recompute Envelopes

Array of Simulation Envelopes of Summary Function

Evaluate Expression Involving Functions

Extract or Change the Plot Formula for a Function Value Table

Function Arrays for Spatial Patterns

Ripley's Isotropic Edge Correction

Evaluate Expression Involving Function Arrays

Simulation Envelopes of Summary Function

Hopkins-Skellam Test

Heat Kernel for a Two-Dimensional Rectangle

Make Function Tables Compatible

Compute Integral of Function Object

Function Value Table

Fry Plot of Point Pattern

Create a Function Value Table

Inverse-distance weighted smoothing of observations at irregular points

Increments of a Function

Abbreviations for Groups of Columns in Function Value Table

Neighbourhood density function

Local pair correlation function

Inhomogeneous Neighbourhood Density Function

Local Multitype K Function (Cross-Type)

Laslett's Transform

Mark Connection Function

Local Multitype K Function (Dot-Type)

localKcross.inhom

Inhomogeneous Multitype K Function

Bootstrap Confidence Bands for Summary Function

Mark Correlation Function

markmarkscatter

Mark-Mark Scatter Plot

Mark Equality Function

Methods for Intensity Functions of Spatial Covariate

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Morisita Index Plot

Mark Cross-Correlation Function

Methods for Spatially Sampled Functions

Nearest Neighbour Clutter Removal

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Nearest Neighbour Type-Equality Function

Mean of a Function of Interpoint Distance

Panel Plots using Colour Image or Contour Lines

Point Pair Orientation Distribution

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Scatterplot Matrix for Pixel Images

Nearest Neighbour Cross-Type Occurrence Count Function

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Nearest Neighbour Orientation Distribution

Pair Correlation Function

Pair Correlation Function obtained from K Function

Multitype pair correlation function (cross-type)

Inhomogeneous Pair Correlation Function

Pair Correlation Function obtained from array of K functions

Pair Correlation Function of a Three-Dimensional Point Pattern

Multitype pair correlation function (i-to-any)

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

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

Marked pair correlation function

Pair Correlation Function of Point Pattern

Plot a Function Array

Plot Result of Scan Test

plot.quadrattest

Display the result of a quadrat counting test.

Plot a Spatial Distribution Test

Plot a Simulation Envelope

Plot a Spatially Sampled Function

Plot Laslett Transform

plot.bermantest

Plot Result of Berman Test

Plot Function Values

plot.studpermutest

Plot a Studentised Permutation Test

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

quadrat.test.splitppp

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

pool.quadrattest

Pool Several Quadrat Tests

Pool Data from Several Envelopes

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 Several Functions

Radial Cumulative Integral

reload.or.compute

Perform Computations or Retrieve Results From File

Estimate of Spatially-Varying Relative Risk

Smoothed Relative Density of Pairs of Covariate Values

Contact Distribution Function using Rectangular Structuring Element

Receiver Operating Characteristic

Diffusion Estimate of Conditional Probabilities

Nonparametric Estimate of Intensity as Function of a Covariate

Nonparametric Estimate of Spatially-Varying Relative Risk

Rotational Average of a Pixel Image

Data Sharpening of Point Pattern

Estimate the Spatial Covariance Function of a Random Field

Sufficient Dimension Reduction

Receiver Operating Characteristic

segregation.test

Test of Spatial Segregation of Types

Compute Predictors from Sufficient Dimension Reduction

Likelihood Ratio Test Statistic for Scan Test

Spatial Scan Test

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

spatstat.explore-deprecated

Deprecated spatstat.explore functions

spatstat.explore-internal

Internal spatstat.explore functions

Spatially Sampled Function

Studentised Permutation Test

Stienen Diagram

Spatial Cumulative Distribution Function

Confidence Interval for Threshold of Numerical Predictor

spatstat.explore-package

The spatstat.explore Package

subspaceDistance

Distance Between Linear Spaces

Evaluate an Expression in a Function Table

Youden Statistic

Pixel Values Along a Transect

Tolerance Contours for Relative Risk

Evaluate Expression in a Spatially Sampled Function

Estimate Variance of Summary Statistic by Subdivision