Learn R Programming

⚠️There's a newer version (3.3-3) of this package.Take me there.

spatstat.explore (version 3.1-0)

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.

Copy Link

Version

Install

install.packages('spatstat.explore')

Monthly Downloads

54,262

Version

3.1-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 14th, 2023

Functions in spatstat.explore (3.1-0)

Empty Space Function of a Three-Dimensional Point Pattern

Extract Subset of Function Array

Subset of spatially sampled function

Estimate the Empty Space Function or its Hazard Rate

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

Extract or Replace Subset of Function Values

Cumulative Distribution Function From Kernel Density Estimate

Diagnostics for random marking

Inhomogeneous Marked F-Function

Inhomogeneous Empty Space Function

Estimate the I-function

Spherical Contact Distribution Function

Nearest Neighbour Distance Function G

Inhomogeneous Marked G-Function

Foxall's Distance Functions

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

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

Multitype J Function (i-to-j)

Inhomogeneous Nearest Neighbour Function

Marked Nearest Neighbour Distance Function

Inhomogeneous J-function

Inhomogeneous Multitype K Dot Function

K-function of a Three-Dimensional Point Pattern

Multitype K Function (Cross-type)

Marked J Function

Multitype J Function (i-to-any)

Estimate the J-function

Inhomogeneous Cross K Function

Locally Scaled K-function

Marked K-Function

Multitype L-function (cross-type)

Inhomogeneous Marked K-Function

Multitype K Function (i-to-any)

Sector K-function

Apply Smoothing to Function Values

Inhomogeneous Cross Type L Function

Spatial smoothing of observations at irregular points

Mark-Weighted K Function

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

K-function using FFT

Reduced Second Moment Measure

Spatial smoothing of data

Inhomogeneous K-function

Third order summary statistic

Inhomogeneous L-function

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Convert Data To Class fv

Window.quadrattest

Extract Window of Spatial Object

Calculate Summary Statistic for All Types in a Multitype Point Pattern

as.data.frame.envelope

Coerce Envelope to Data Frame

as.owin.quadrattest

Convert Data To Class owin

Calculate four standard summary functions of a point pattern.

Convert Data To Tessellation

Area Under ROC Curve

Multitype L-function (i-to-any)

Global Envelopes for Balanced Independent Two-Stage Test

Apply Gaussian Blur to a Pixel Image

Inhomogeneous Multitype L Dot Function

Smooth a Spatially Sampled Function

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

Smooth Interpolation of Marks as a Spatial Function

Balanced Independent Two-Stage Monte Carlo Test

Abramson's Adaptive Bandwidths

Cross Validated Bandwidth Selection for Pair Correlation Function

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Convert Function Value Table to Function

as.function.rhohat

Convert Function Table to Function

Density Estimation for Circular Data

Clark and Evans Aggregation Index

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Kernel Smoothed Intensity of Point Pattern

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Cross Validated Bandwidth Selection for Relative Risk Estimation

Kernel Smoothing of Line Segment Pattern

Test Whether Function Objects Are Compatible

Generic Calculation of K Function and Pair Correlation Function

Berman's Tests for Point Process Model

Combine Function Value Tables

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Covariance and Correlation between Images

Progress Plot of Test of Spatial Pattern

Cross Validated Bandwidth Selection for Kernel Density

clarkevans.test

Clark and Evans Test

Allard-Fraley Estimator of Cluster Feature

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

densityAdaptiveKernel

Adaptive Kernel Estimate of Intensity of Point Pattern

bw.CvL.adaptive

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

Bandwidth Selection Based on Window Geometry

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Kernel Estimate of Intensity as a Spatial Function

Distribution Function of Interpoint Distance

Stoyan's Rule of Thumb for Bandwidth Selection

Spatial Distribution Test for Point Pattern or Point Process Model

Dao-Genton Adjusted Goodness-Of-Fit Test

Kernel distributions and random generation

domain.quadrattest

Extract the Domain of any Spatial Object

Ripley's Isotropic Edge Correction

Scott's Rule for Bandwidth Selection for Kernel Density

Cross Validated Bandwidth Selection for Spatial Smoothing

Estimate Dimension of Central Subspace

Array of Simulation Envelopes of Summary Function

Translation Edge Correction

Evaluate Expression Involving Function Arrays

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

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

Simulation Envelopes of Summary Function

Evaluate Expression Involving Functions

Function Arrays for Spatial Patterns

Hopkins-Skellam Test

Abbreviations for Groups of Columns in Function Value Table

Progress Plot of Dao-Genton Test of Spatial Pattern

Collapse Several Function Tables into One

Make Function Tables Compatible

Heat Kernel for a Two-Dimensional Rectangle

Significance Trace of Dao-Genton Test

Neighbourhood density function

compatible.fasp

Test Whether Function Arrays Are Compatible

Local Multitype K Function (Cross-Type)

localKcross.inhom

Inhomogeneous Multitype K Function

envelope.envelope

Recompute Envelopes

Inverse-distance weighted smoothing of observations at irregular points

Increments of a Function

Inhomogeneous Neighbourhood Density Function

Simulation Envelopes of Summary Function for 3D Point Pattern

Local pair correlation function

Kaplan-Meier and Reduced Sample Estimator using Histograms

Diffusion Estimate of Point Pattern Intensity

Laslett's Transform

Local Multitype K Function (Dot-Type)

Moment of Smoothing Kernel

Create a Function Value Table

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Integral of Squared Kernel

Function Value Table

markmarkscatter

Mark-Mark Scatter Plot

Kaplan-Meier Estimator using Histogram Data

Bootstrap Confidence Bands for Summary Function

Scale factor for density kernel

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Mark Connection Function

Morisita Index Plot

Point Pair Orientation Distribution

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Calculate Derivative of Function Values

Scatterplot Matrix for Pixel Images

Global Envelopes for Dao-Genton Test

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Nearest Neighbour Orientation Distribution

Mean of a Function of Interpoint Distance

Nearest Neighbour Clutter Removal

Pair Correlation Function of Point Pattern

Methods for Intensity Functions of Spatial Covariate

Pair Correlation Function of a Three-Dimensional Point Pattern

Methods for Spatially Sampled Functions

Multitype pair correlation function (i-to-any)

Extract or Change the Plot Formula for a Function Value Table

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

Fry Plot of Point Pattern

Pair Correlation Function obtained from array of K functions

Plot Function Values

Pair Correlation Function obtained from K Function

Plot Laslett Transform

Pool Data from Several Envelopes

Pool Data from Several Function Arrays

Inhomogeneous Pair Correlation Function

Marked pair correlation function

Multitype pair correlation function (cross-type)

Contact Distribution Function using Rectangular Structuring Element

Likelihood Ratio Test Statistic for Scan Test

plot.quadrattest

Display the result of a quadrat counting test.

Pool Data from Several Ratio Objects

Pool Data from a List of Objects

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Sufficient Dimension Reduction

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Mark Correlation Function

Plot Result of Scan Test

quadrat.test.splitppp

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

Mark Cross-Correlation Function

Plot a Spatially Sampled Function

Receiver Operating Characteristic

Panel Plots using Colour Image or Contour Lines

Pair Correlation Function

quantile.density

Quantiles of a Density Estimate

Plot a Function Array

Plot a Simulation Envelope

plot.bermantest

Plot Result of Berman Test

Smoothed Relative Density of Pairs of Covariate Values

Nonparametric Estimate of Intensity as Function of a Covariate

Radial Cumulative Integral

Range of Function Values

plot.studpermutest

Plot a Studentised Permutation Test

Reduced Sample Estimator using Histogram Data

Spatial Cumulative Distribution Function

reload.or.compute

Compute Unless Previously Saved

spatstat.explore-deprecated

Deprecated spatstat.explore functions

subspaceDistance

Distance Between Linear Spaces

Plot a Spatial Distribution Test

Rotational Average of a Pixel Image

Spatial Scan Test

Pool Several Functions

Confidence Interval for Threshold of Numerical Predictor

Stienen Diagram

pool.quadrattest

Pool Several Quadrat Tests

Data Sharpening of Point Pattern

Estimate the Spatial Covariance Function of a Random Field

Estimate of Spatially-Varying Relative Risk

Nonparametric Estimate of Spatially-Varying Relative Risk

Spatially Sampled Function

Compute Predictors from Sufficient Dimension Reduction

Studentised Permutation Test

spatstat.explore-internal

Internal spatstat.explore functions

segregation.test

Test of Spatial Segregation of Types

Compute Integral of Function Against Cumulative Distribution

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Evaluate Expression in a Spatially Sampled Function

spatstat.explore-package

The spatstat.explore Package

Pixel Values Along a Transect

Estimate Variance of Summary Statistic by Subdivision

Evaluate an Expression in a Function Table