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spatstat.explore (version 3.3-4)

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

39,861

Version

3.3-4

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

January 8th, 2025

Functions in spatstat.explore (3.3-4)

Inhomogeneous Empty Space Function

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

Empty Space Function of a Three-Dimensional Point Pattern

Extract or Replace Subset of Function Values

Estimate the Empty Space Function or its Hazard Rate

Inhomogeneous Marked F-Function

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

Diagnostics for random marking

Inhomogeneous Multitype G Dot Function

Extract Subset of Function Array

Nearest Neighbour Distance Function G

Subset of spatially sampled function

Spherical Contact Distribution Function

Estimate the I-function

Marked J Function

Marked Nearest Neighbour Distance Function

Inhomogeneous Marked J-Function

Inhomogeneous Marked G-Function

K-function of a Three-Dimensional Point Pattern

Estimate the J-function

Foxall's Distance Functions

Mark-Weighted K Function

Inhomogeneous Multitype G Cross Function

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

Inhomogeneous J-function

Inhomogeneous Nearest Neighbour Function

Marked K-Function

Multitype K Function (Cross-type)

Inhomogeneous Marked K-Function

Multitype J Function (i-to-j)

Inhomogeneous Multitype K Dot Function

Multitype J Function (i-to-any)

Reduced Second Moment Measure

K-function using FFT

Inhomogeneous Multitype J function (i-to-j)

Inhomogeneous Multitype J function (i-to-any)

Inhomogeneous L-function

Inhomogeneous K-function

Locally Scaled K-function

Multitype L-function (i-to-any)

Sector K-function

Inhomogeneous Multitype L Dot Function

S3 Group Generic Methods for Function Arrays

Inhomogeneous Cross K Function

Multitype K Function (i-to-any)

S3 Group Generic Methods for Function Tables

Smooth a Spatially Sampled Function

Density Estimation for Circular Data

Spatial Smoothing of Data by Diffusion

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

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

Spatial Smoothing of Observations using Diffusion Estimate of Density

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

Multitype L-function (cross-type)

SpatialQuantile

Spatially Weighted Median or Quantile

Inhomogeneous Cross Type L Function

Smooth Interpolation of Marks as a Spatial Function

as.data.frame.envelope

Coerce Envelope to Data Frame

Spatial smoothing of data

Calculate four standard summary functions of a point pattern.

Convert Function Value Table to Function

Balanced Independent Two-Stage Monte Carlo Test

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Area Under ROC Curve

Apply Smoothing to Function Values

Berman's Tests for Point Process Model

Spatial smoothing of observations at irregular points

Convert Data To Class fv

as.function.rhohat

Convert Function Table to Function

clarkevans.test

Clark and Evans Test

Window.quadrattest

Extract Window of Spatial Object

Allard-Fraley Estimator of Cluster Feature

Apply Gaussian Blur to a Pixel Image

Likelihood Cross Validation Bandwidth Selection for Kernel Density

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

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Stoyan's Rule of Thumb for Bandwidth Selection

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

Spatial Distribution Test for Point Pattern or Point Process Model

Ripley's Isotropic Edge Correction

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

Kernel Smoothed Intensity of Point Pattern

Translation Edge Correction

envelope.envelope

Recompute Envelopes

Third order summary statistic

Kernel Smoothing of Line Segment Pattern

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

bw.CvL.adaptive

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

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Function Arrays for Spatial Patterns

Extract or Change the Plot Formula for a Function Value Table

Combine Function Value Tables

Global Envelopes for Balanced Independent Two-Stage Test

as.owin.quadrattest

Convert Data To Class owin

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Methods for Spatially Sampled Functions

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Cross Validated Bandwidth Selection for Kernel Density

Bandwidth Selection Based on Window Geometry

Collapse Several Function Tables into One

compatible.fasp

Test Whether Function Arrays Are Compatible

Clark and Evans Aggregation Index

Convert Data To Tessellation

Laslett's Transform

bw.optim.object

Class of Optimized Bandwidths

Neighbourhood density function

Cross Validated Bandwidth Selection for Relative Risk Estimation

Cross Validated Bandwidth Selection for Pair Correlation Function

bw.relriskHeatppp

Bandwidth Selection for Relative Risk using Diffusion

Generic Calculation of K Function and Pair Correlation Function

Scott's Rule for Bandwidth Selection for Kernel Density

Dao-Genton Adjusted Goodness-Of-Fit Test

Increments of a Function

Covariance and Correlation between Images

Estimate Dimension of Central Subspace

Local Multitype K Function (Dot-Type)

Progress Plot of Test of Spatial Pattern

Cross Validated Bandwidth Selection for Spatial Smoothing

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Kernel Estimate of Intensity as a Spatial Function

Calculate Derivative of Function Values

Inhomogeneous Neighbourhood Density Function

Progress Plot of Dao-Genton Test of Spatial Pattern

Test Whether Function Objects Are Compatible

Significance Trace of Dao-Genton Test

Mean of a Function of Interpoint Distance

Generic Calculation of Cumulative Distribution Function of Distances

Point Pair Orientation Distribution

Fry Plot of Point Pattern

Pair Correlation Function obtained from K Function

Diffusion Estimate of Point Pattern Intensity

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

Simulation Envelopes of Summary Function

Global Envelopes for Dao-Genton Test

Evaluate Expression Involving Function Arrays

densityAdaptiveKernel.ppp

Adaptive Kernel Estimate of Intensity of Point Pattern

Create a Function Value Table

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Distribution Function of Interpoint Distance

domain.quadrattest

Extract the Domain of any Spatial Object

Simulation Envelopes of Summary Function for 3D Point Pattern

Heat Kernel for a Two-Dimensional Rectangle

Pair Correlation Function of Point Pattern

Array of Simulation Envelopes of Summary Function

Morisita Index Plot

Inverse-distance weighted smoothing of observations at irregular points

Compute Integral of Function Object

Marked pair correlation function

Function Value Table

Evaluate Expression Involving Functions

plot.bermantest

Plot Result of Berman Test

Mark Connection Function

Abbreviations for Groups of Columns in Function Value Table

Mark Correlation Function

Mark Cross-Correlation Function

Local pair correlation function

Local Multitype K Function (Cross-Type)

Pool Data from a List of Objects

Bootstrap Confidence Bands for Summary Function

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

localKcross.inhom

Inhomogeneous Multitype K Function

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Nearest Neighbour Clutter Removal

Make Function Tables Compatible

Nearest Neighbour Orientation Distribution

Methods for Intensity Functions of Spatial Covariate

Plot a Function Array

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Data Sharpening of Point Pattern

Pool Data from Several Envelopes

markmarkscatter

Mark-Mark Scatter Plot

Hopkins-Skellam Test

Sufficient Dimension Reduction

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Spatial Cumulative Distribution Function

Pair Correlation Function

Plot Function Values

Multitype pair correlation function (i-to-any)

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

Compute Predictors from Sufficient Dimension Reduction

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

Evaluate Expression in a Spatially Sampled Function

Inhomogeneous Pair Correlation Function

Scatterplot Matrix for Pixel Images

Spatial Scan Test

Pair Correlation Function obtained from array of K functions

Likelihood Ratio Test Statistic for Scan Test

Stienen Diagram

Studentised Permutation Test

pool.quadrattest

Pool Several Quadrat Tests

Panel Plots using Colour Image or Contour Lines

Pair Correlation Function of a Three-Dimensional Point Pattern

Plot a Spatial Distribution Test

Pool Data from Several Ratio Objects

Plot a Simulation Envelope

Pool Data from Several Function Arrays

Plot Result of Scan Test

Plot a Spatially Sampled Function

Estimate Variance of Summary Statistic by Subdivision

Multitype pair correlation function (cross-type)

Radial Cumulative Integral

Estimate of Spatially-Varying Relative Risk

Pool Several Functions

Nonparametric Estimate of Spatially-Varying Relative Risk

spatstat.explore-deprecated

Deprecated spatstat.explore functions

Plot Laslett Transform

spatstat.explore-internal

Internal spatstat.explore functions

Diffusion Estimate of Conditional Probabilities

Rotational Average of a Pixel Image

plot.quadrattest

Display the result of a quadrat counting test.

Smoothed Relative Density of Pairs of Covariate Values

segregation.test

Test of Spatial Segregation of Types

plot.studpermutest

Plot a Studentised Permutation Test

Estimate the Spatial Covariance Function of a Random Field

Nonparametric Estimate of Intensity as Function of a Covariate

Contact Distribution Function using Rectangular Structuring Element

Receiver Operating Characteristic

spatstat.explore-package

The spatstat.explore Package

subspaceDistance

Distance Between Linear Spaces

Evaluate an Expression in a Function Table

reload.or.compute

Perform Computations or Retrieve Results From File

Spatially Sampled Function

Confidence Interval for Threshold of Numerical Predictor

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Pixel Values Along a Transect