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spatstat.explore (version 3.2-1)

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

84,643

Version

3.2-1

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

May 13th, 2023

Functions in spatstat.explore (3.2-1)

Subset of spatially sampled function

Extract Subset of Function Array

Inhomogeneous Marked F-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

Inhomogeneous Empty Space Function

Empty Space Function of a Three-Dimensional Point Pattern

Cumulative Distribution Function From Kernel Density Estimate

Diagnostics for random marking

Nearest Neighbour Distance Function G

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

Foxall's Distance Functions

Inhomogeneous Multitype G Dot Function

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

Inhomogeneous Marked G-Function

Inhomogeneous Multitype G Cross Function

Spherical Contact Distribution Function

Inhomogeneous J-function

Inhomogeneous Multitype J function (i-to-j)

Inhomogeneous Marked J-Function

Inhomogeneous Nearest Neighbour Function

Marked Nearest Neighbour Distance Function

Multitype J Function (i-to-any)

Marked J Function

Inhomogeneous Multitype J function (i-to-any)

Estimate the I-function

Estimate the J-function

K-function of a Three-Dimensional Point Pattern

Multitype J Function (i-to-j)

Inhomogeneous K-function

Mark-Weighted K Function

Reduced Second Moment Measure

Multitype K Function (i-to-any)

Multitype K Function (Cross-type)

Marked K-Function

Inhomogeneous Multitype K Dot Function

Inhomogeneous Cross Type L Function

Inhomogeneous L-function

S3 Group Generic Methods for Function Arrays

Inhomogeneous Multitype L Dot Function

Multitype L-function (i-to-any)

Spatial smoothing of data

S3 Group Generic Methods for Function Tables

Inhomogeneous Cross K Function

Apply Smoothing to Function Values

Calculate four standard summary functions of a point pattern.

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Spatial smoothing of observations at irregular points

Smooth a Spatially Sampled Function

Sector K-function

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

K-function using FFT

as.owin.quadrattest

Convert Data To Class owin

Multitype L-function (cross-type)

Convert Data To Tessellation

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

Window.quadrattest

Extract Window of Spatial Object

Area Under ROC Curve

Inhomogeneous Marked K-Function

Bandwidth Selection Based on Window Geometry

bw.optim.object

Class of Optimized Bandwidths

bw.CvL.adaptive

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

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Berman's Tests for Point Process Model

Abramson's Adaptive Bandwidths

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Locally Scaled K-function

Test Whether Function Objects Are Compatible

Generic Calculation of K Function and Pair Correlation Function

clarkevans.test

Clark and Evans Test

Allard-Fraley Estimator of Cluster Feature

Smooth Interpolation of Marks as a Spatial Function

as.data.frame.envelope

Coerce Envelope to Data Frame

Convert Function Value Table to Function

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Cross Validated Bandwidth Selection for Kernel Density

Scott's Rule for Bandwidth Selection for Kernel Density

Kernel Smoothed Intensity of Point Pattern

Cross Validated Bandwidth Selection for Spatial Smoothing

Stoyan's Rule of Thumb for Bandwidth Selection

Spatial Distribution Test for Point Pattern or Point Process Model

Kernel Smoothing of Line Segment Pattern

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

Covariance and Correlation between Images

Calculate Derivative of Function Values

as.function.rhohat

Convert Function Table to Function

domain.quadrattest

Extract the Domain of any Spatial Object

Ripley's Isotropic Edge Correction

Evaluate Expression Involving Functions

Progress Plot of Test of Spatial Pattern

Third order summary statistic

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

Combine Function Value Tables

Function Arrays for Spatial Patterns

Global Envelopes for Dao-Genton Test

Hopkins-Skellam Test

Global Envelopes for Balanced Independent Two-Stage Test

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Heat Kernel for a Two-Dimensional Rectangle

Array of Simulation Envelopes of Summary Function

Convert Data To Class fv

densityAdaptiveKernel

Adaptive Kernel Estimate of Intensity of Point Pattern

Cross Validated Bandwidth Selection for Pair Correlation Function

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Evaluate Expression Involving Function Arrays

Inverse-distance weighted smoothing of observations at irregular points

Mark Correlation Function

Create a Function Value Table

Function Value Table

Moment of Smoothing Kernel

Balanced Independent Two-Stage Monte Carlo Test

Dao-Genton Adjusted Goodness-Of-Fit Test

Mark Cross-Correlation Function

Panel Plots using Colour Image or Contour Lines

Integral of Squared Kernel

Increments of a Function

Estimate Dimension of Central Subspace

Neighbourhood density function

Translation Edge Correction

Pair Correlation Function

plot.bermantest

Plot Result of Berman Test

Local Multitype K Function (Cross-Type)

Apply Gaussian Blur to a Pixel Image

Simulation Envelopes of Summary Function

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Kaplan-Meier Estimator using Histogram Data

Cross Validated Bandwidth Selection for Relative Risk Estimation

Scale factor for density kernel

Bootstrap Confidence Bands for Summary Function

Density Estimation for Circular Data

Plot a Spatial Distribution Test

Mark Connection Function

Morisita Index Plot

localKcross.inhom

Inhomogeneous Multitype K Function

Collapse Several Function Tables into One

Pool Data from Several Ratio Objects

Nearest Neighbour Clutter Removal

Multitype pair correlation function (i-to-any)

compatible.fasp

Test Whether Function Arrays Are Compatible

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

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Inhomogeneous Pair Correlation Function

Diffusion Estimate of Point Pattern Intensity

Marked pair correlation function

Local Multitype K Function (Dot-Type)

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

plot.quadrattest

Display the result of a quadrat counting test.

Plot a Simulation Envelope

Clark and Evans Aggregation Index

Distribution Function of Interpoint Distance

Methods for Intensity Functions of Spatial Covariate

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Methods for Spatially Sampled Functions

Plot Result of Scan Test

Kernel Estimate of Intensity as a Spatial Function

Radial Cumulative Integral

Pool Several Functions

pool.quadrattest

Pool Several Quadrat Tests

Progress Plot of Dao-Genton Test of Spatial Pattern

Nonparametric Estimate of Spatially-Varying Relative Risk

Significance Trace of Dao-Genton Test

Plot a Function Array

envelope.envelope

Recompute Envelopes

Smoothed Relative Density of Pairs of Covariate Values

Simulation Envelopes of Summary Function for 3D Point Pattern

Pixel Values Along a Transect

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

quadrat.test.splitppp

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

Estimate Variance of Summary Statistic by Subdivision

Inhomogeneous Neighbourhood Density Function

Kernel distributions and random generation

Spatial Scan Test

Extract or Change the Plot Formula for a Function Value Table

Multitype pair correlation function (cross-type)

quantile.density

Quantiles of a Density Estimate

Fry Plot of Point Pattern

Local pair correlation function

markmarkscatter

Mark-Mark Scatter Plot

Contact Distribution Function using Rectangular Structuring Element

Likelihood Ratio Test Statistic for Scan Test

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Plot Function Values

Abbreviations for Groups of Columns in Function Value Table

Make Function Tables Compatible

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

spatstat.explore-package

The spatstat.explore Package

Point Pair Orientation Distribution

Spatially Sampled Function

Scatterplot Matrix for Pixel Images

Plot Laslett Transform

Kaplan-Meier and Reduced Sample Estimator using Histograms

Pool Data from a List of Objects

Laslett's Transform

Nearest Neighbour Orientation Distribution

Reduced Sample Estimator using Histogram Data

Pair Correlation Function of Point Pattern

Mean of a Function of Interpoint Distance

Sufficient Dimension Reduction

Pair Correlation Function obtained from array of K functions

Estimate the Spatial Covariance Function of a Random Field

Pair Correlation Function obtained from K Function

Pair Correlation Function of a Three-Dimensional Point Pattern

Pool Data from Several Envelopes

Spatial Cumulative Distribution Function

spatstat.explore-deprecated

Deprecated spatstat.explore functions

Compute Predictors from Sufficient Dimension Reduction

Pool Data from Several Function Arrays

Plot a Spatially Sampled Function

spatstat.explore-internal

Internal spatstat.explore functions

Evaluate an Expression in a Function Table

plot.studpermutest

Plot a Studentised Permutation Test

Evaluate Expression in a Spatially Sampled Function

Nonparametric Estimate of Intensity as Function of a Covariate

Receiver Operating Characteristic

segregation.test

Test of Spatial Segregation of Types

Studentised Permutation Test

subspaceDistance

Distance Between Linear Spaces

Data Sharpening of Point Pattern

reload.or.compute

Compute Unless Previously Saved

Estimate of Spatially-Varying Relative Risk

Compute Integral of Function Against Cumulative Distribution

Rotational Average of a Pixel Image

Stienen Diagram

Confidence Interval for Threshold of Numerical Predictor

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor