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spatstat.explore (version 3.6-0)

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

88,128

Version

3.6-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

November 22nd, 2025

Functions in spatstat.explore (3.6-0)

Marked Nearest Neighbour Distance Function

Nearest Neighbour Distance Function G

Inhomogeneous Marked G-Function

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

Foxall's Distance Functions

Spherical Contact Distribution Function

Inhomogeneous Nearest Neighbour Function

Integrated Squared Error on an Envelope Object

Inhomogeneous Multitype G Dot Function

Inhomogeneous Multitype G Cross Function

Inhomogeneous Marked J-Function

Inhomogeneous Multitype J function (i-to-j)

K-function of a Three-Dimensional Point Pattern

Inhomogeneous Multitype J function (i-to-any)

Estimate the I-function

Marked J Function

Estimate the J-function

Inhomogeneous J-function

Multitype J Function (i-to-j)

Multitype J Function (i-to-any)

Inhomogeneous K-function

Reduced Second Moment Measure

Inhomogeneous Cross K Function

Multitype K Function (Cross-type)

Mark-Weighted K Function

Multitype K Function (i-to-any)

Marked K-Function

Inhomogeneous Multitype K Dot Function

K-function using FFT

Inhomogeneous L-function

Inhomogeneous Cross Type L Function

Sector K-function

Locally Scaled K-function

Inhomogeneous Multitype L Dot Function

Inhomogeneous Marked K-Function

Mean Integrated Squared Error on an Envelope Object

Multitype L-function (cross-type)

Multitype L-function (i-to-any)

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

Smooth Interpolation of Marks as a Spatial Function

Spatial Smoothing of Data by Diffusion

Apply Smoothing to Function Values

Spatial smoothing of data

S3 Group Generic Methods for Function Tables

Smooth a Spatially Sampled Function

S3 Group Generic Methods for Function Arrays

Spatial smoothing of observations at irregular points

Spatial Smoothing of Observations using Diffusion Estimate of Density

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Window.quadrattest

Extract Window of Spatial Object

Calculate four standard summary functions of a point pattern.

as.data.frame.envelope

Coerce Envelope to Data Frame

Convert Function Value Table to Function

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Third order summary statistic

SpatialQuantile

Spatially Weighted Median or Quantile

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

Area Under ROC Curve for Point Pattern Data

Combine Function Value Tables

Apply Gaussian Blur to a Pixel Image

as.owin.quadrattest

Convert Data To Class owin

Balanced Independent Two-Stage Monte Carlo Test

as.function.rhohat

Convert Function Table to Function

Berman's Tests for Point Process Model

Convert Data To Tessellation

Global Envelopes for Balanced Independent Two-Stage Test

Convert Data To Class fv

Bandwidth Selection Based on Window Geometry

bw.CvL.adaptive

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

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Cross Validated Bandwidth Selection for Kernel Density

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

Adjust Bandwidth Selection Rule to Account for Inhomogeneity

bw.optim.object

Class of Optimized Bandwidths

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Cross Validated Bandwidth Selection for Pair Correlation Function

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

bw.relriskHeatppp

Bandwidth Selection for Relative Risk using Diffusion

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Cross Validated Bandwidth Selection for Relative Risk Estimation

Cross Validated Bandwidth Selection for Inhomogeneous Pair Correlation Function

Scott's Rule for Bandwidth Selection for Kernel Density

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

Spatial Distribution Test for Point Pattern or Point Process Model

compatible.fasp

Test Whether Function Arrays Are Compatible

Cross Validated Bandwidth Selection for Spatial Smoothing

Allard-Fraley Estimator of Cluster Feature

Generic Calculation of K Function and Pair Correlation Function

Clark and Evans Aggregation Index

clarkevans.test

Clark and Evans Test

Density Estimation for Circular Data

Test Whether Function Objects Are Compatible

Covariance and Correlation between Images

Generic Calculation of Cumulative Distribution Function of Distances

Collapse Several Function Tables into One

Diffusion Estimate of Point Pattern Intensity

Kernel Smoothing of Line Segment Pattern

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Progress Plot of Test of Spatial Pattern

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Kernel Smoothed Intensity of Point Pattern

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

densityAdaptiveKernel.ppp

Adaptive Kernel Estimate of Intensity of Point Pattern

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

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

Progress Plot of Dao-Genton Test of Spatial Pattern

Dao-Genton Adjusted Goodness-Of-Fit Test

Significance Trace of Dao-Genton Test

Estimate Dimension of Central Subspace

Distribution Function of Interpoint Distance

Global Envelopes for Dao-Genton Test

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

domain.quadrattest

Extract the Domain of any Spatial Object

Calculate Derivative of Function Values

Kernel Estimate of Intensity as a Spatial Function

Ripley's Isotropic Edge Correction

Simulation Envelopes of Summary Function

Evaluate Expression Involving Function Arrays

Simulation Envelopes of Summary Function for 3D Point Pattern

Evaluate Expression Involving Functions

Translation Edge Correction

envelope.envelope

Recompute Envelopes

Function Arrays for Spatial Patterns

Extract or Change the Plot Formula for a Function Value Table

Array of Simulation Envelopes of Summary Function

Make Function Tables Compatible

Heat Kernel for a Two-Dimensional Rectangle

Hopkins-Skellam Test

Compute Integral of Function Object

Abbreviations for Groups of Columns in Function Value Table

Increments of a Function

Inverse-distance weighted smoothing of observations at irregular points

Create a Function Value Table

Fry Plot of Point Pattern

Function Value Table

Bootstrap Confidence Bands for Summary Function

localKcross.inhom

Inhomogeneous Multitype K Function

Inhomogeneous Neighbourhood Density Function

Laslett's Transform

Mark Connection Function

Local pair correlation function

Local Multitype K Function (Dot-Type)

Local Multitype K Function (Cross-Type)

Mark Correlation Function

Neighbourhood density function

Methods for Intensity Functions of Spatial Covariate

Mark Cross-Correlation Function

Mark Equality Function

Methods for Spatially Sampled Functions

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Morisita Index Plot

markmarkscatter

Mark-Mark Scatter Plot

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Nearest Neighbour Clutter Removal

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Panel Plots using Colour Image or Contour Lines

Nearest Neighbour Cross-Type Occurrence Count Function

Nearest Neighbour Orientation Distribution

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Pair Correlation Function

Point Pair Orientation Distribution

Mean of a Function of Interpoint Distance

Nearest Neighbour Type-Equality Function

Scatterplot Matrix for Pixel Images

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Multitype pair correlation function (cross-type)

Multitype pair correlation function (i-to-any)

Pair Correlation Function obtained from array of K functions

Pair Correlation Function of a Three-Dimensional Point Pattern

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

Inhomogeneous Pair Correlation Function

Marked pair correlation function

Pair Correlation Function obtained from K Function

Pair Correlation Function of Point Pattern

Plot Laslett Transform

Plot Result of Scan Test

plot.studpermutest

Plot a Studentised Permutation Test

Plot a Spatially Sampled Function

Plot a Spatial Distribution Test

Plot Function Values

plot.quadrattest

Display the result of a quadrat counting test.

Plot a Function Array

plot.bermantest

Plot Result of Berman Test

Plot a Simulation Envelope

Pool Data from Several Envelopes

Pool Several Functions

pool.quadrattest

Pool Several Quadrat Tests

quadrat.test.splitppp

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

Pool Data from Several Function Arrays

Pool Data from a List of Objects

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

ptwise.envelope

Pointwise Statistics on an Envelope Object

Pool Data from Several Ratio Objects

Smoothed Relative Density of Pairs of Covariate Values

Estimate of Spatially-Varying Relative Risk

reload.or.compute

Perform Computations or Retrieve Results From File

Diffusion Estimate of Conditional Probabilities

Nonparametric Estimate of Intensity as Function of a Covariate

Contact Distribution Function using Rectangular Structuring Element

Radial Cumulative Integral

Nonparametric Estimate of Spatially-Varying Relative Risk

Receiver Operating Characteristic

Receiver Operating Characteristic

Sufficient Dimension Reduction

Spatial Scan Test

segregation.test

Test of Spatial Segregation of Types

Rotational Average of a Pixel Image

Likelihood Ratio Test Statistic for Scan Test

Data Sharpening of Point Pattern

Compute Predictors from Sufficient Dimension Reduction

Estimate the Spatial Covariance Function of a Random Field

Spatial Cumulative Distribution Function

Spatially Sampled Function

spatstat.explore-internal

Internal spatstat.explore functions

subspaceDistance

Distance Between Linear Spaces

Stienen Diagram

spatstat.explore-package

The spatstat.explore Package

Studentised Permutation Test

Confidence Interval for Threshold of Numerical Predictor

spatstat.explore-deprecated

Deprecated spatstat.explore functions

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Youden Statistic

Evaluate an Expression in a Function Table

Pixel Values Along a Transect

Evaluate Expression in a Spatially Sampled Function

Estimate Variance of Summary Statistic by Subdivision

Tolerance Contours for Relative Risk

Extract or Replace Subset of Function Values

Subset of spatially sampled function

Extract Subset of Function Array

Inhomogeneous Marked F-Function

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

Estimate the Empty Space Function or its Hazard Rate

Empty Space Function of a Three-Dimensional Point Pattern

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

Inhomogeneous Empty Space Function

Diagnostics for random marking