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spatstat.explore (version 3.0-6)

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

54,262

Version

3.0-6

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

January 26th, 2023

Functions in spatstat.explore (3.0-6)

Estimate the Empty Space Function or its Hazard Rate

Inhomogeneous Empty Space Function

Extract Subset of Function Array

Extract or Replace Subset of Function Values

Inhomogeneous Nearest Neighbour Function

Inhomogeneous Marked G-Function

Subset of spatially sampled function

Empty Space Function of a Three-Dimensional Point Pattern

Spherical Contact Distribution Function

Marked Nearest Neighbour Distance Function

K-function of a Three-Dimensional Point Pattern

Inhomogeneous Marked F-Function

Multitype K Function (Cross-type)

Mark-Weighted K Function

Multitype J Function (i-to-any)

Marked K-Function

Reduced Second Moment Measure

Convert Data To Class fv

Estimate the J-function

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

Inhomogeneous Marked K-Function

as.owin.quadrattest

Convert Data To Class owin

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

Global Envelopes for Balanced Independent Two-Stage Test

K-function using FFT

Nearest Neighbour Distance Function G

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

Inhomogeneous K-function

Inhomogeneous J-function

Balanced Independent Two-Stage Monte Carlo Test

Inhomogeneous L-function

Foxall's Distance Functions

Abramson's Adaptive Bandwidths

Marked J Function

Apply Smoothing to Function Values

Multitype L-function (cross-type)

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Inhomogeneous Cross Type L Function

Inhomogeneous Multitype K Dot Function

as.data.frame.envelope

Coerce Envelope to Data Frame

Smooth a Spatially Sampled Function

Spatial smoothing of observations at irregular points

Cross Validated Bandwidth Selection for Kernel Density

Convert Function Value Table to Function

as.function.rhohat

Convert Function Table to Function

Cumulative Distribution Function From Kernel Density Estimate

bw.CvL.adaptive

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

Smooth Interpolation of Marks as a Spatial Function

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Generic Calculation of K Function and Pair Correlation Function

Apply Gaussian Blur to a Pixel Image

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

Diagnostics for random marking

Calculate four standard summary functions of a point pattern.

Allard-Fraley Estimator of Cluster Feature

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

Estimate the I-function

Multitype J Function (i-to-j)

Covariance and Correlation between Images

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

Kernel Smoothed Intensity of Point Pattern

Inhomogeneous Cross K Function

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Spatial smoothing of data

Multitype K Function (i-to-any)

Cross Validated Bandwidth Selection for Relative Risk Estimation

Collapse Several Function Tables into One

Scott's Rule for Bandwidth Selection for Kernel Density

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Global Envelopes for Dao-Genton Test

Convert Data To Tessellation

Ripley's Isotropic Edge Correction

Translation Edge Correction

Locally Scaled K-function

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Sector K-function

Multitype L-function (i-to-any)

Increments of a Function

Area Under ROC Curve

Clark and Evans Aggregation Index

Inhomogeneous Multitype L Dot Function

clarkevans.test

Clark and Evans Test

compatible.fasp

Test Whether Function Arrays Are Compatible

Third order summary statistic

Test Whether Function Objects Are Compatible

Window.quadrattest

Extract Window of Spatial Object

Berman's Tests for Point Process Model

densityAdaptiveKernel

Adaptive Kernel Estimate of Intensity of Point Pattern

Kaplan-Meier Estimator using Histogram Data

Progress Plot of Dao-Genton Test of Spatial Pattern

Kernel distributions and random generation

domain.quadrattest

Extract the Domain of any Spatial Object

Diffusion Estimate of Point Pattern Intensity

Fry Plot of Point Pattern

Local Multitype K Function (Dot-Type)

Estimate Dimension of Central Subspace

Combine Function Value Tables

Evaluate Expression Involving Function Arrays

Bandwidth Selection Based on Window Geometry

Cross Validated Bandwidth Selection for Spatial Smoothing

Distribution Function of Interpoint Distance

Evaluate Expression Involving Functions

Simulation Envelopes of Summary Function for 3D Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

Array of Simulation Envelopes of Summary Function

Scale factor for density kernel

Function Value Table

Inhomogeneous Neighbourhood Density Function

Moment of Smoothing Kernel

Create a Function Value Table

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Abbreviations for Groups of Columns in Function Value Table

Methods for Spatially Sampled Functions

Mark Cross-Correlation Function

Local Multitype K Function (Cross-Type)

Cross Validated Bandwidth Selection for Pair Correlation Function

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

localKcross.inhom

Inhomogeneous Multitype K Function

Progress Plot of Test of Spatial Pattern

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

Mark Connection Function

Morisita Index Plot

Mark Correlation Function

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

markmarkscatter

Mark-Mark Scatter Plot

Kernel Estimate of Intensity as a Spatial Function

Spatial Distribution Test for Point Pattern or Point Process Model

Nearest Neighbour Orientation Distribution

Nearest Neighbour Clutter Removal

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Pair Correlation Function of a Three-Dimensional Point Pattern

Pair Correlation Function obtained from K Function

Calculate Derivative of Function Values

Mean of a Function of Interpoint Distance

Pair Correlation Function of Point Pattern

Multitype pair correlation function (cross-type)

Pool Data from Several Function Arrays

Density Estimation for Circular Data

Simulation Envelopes of Summary Function

Pool Several Functions

envelope.envelope

Recompute Envelopes

Kernel Smoothing of Line Segment Pattern

Point Pair Orientation Distribution

Heat Kernel for a Two-Dimensional Rectangle

Inverse-distance weighted smoothing of observations at irregular points

Laslett's Transform

Sufficient Dimension Reduction

Plot a Spatial Distribution Test

Neighbourhood density function

Plot Result of Scan Test

Plot a Spatially Sampled Function

Multitype pair correlation function (i-to-any)

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Plot a Simulation Envelope

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Pool Data from a List of Objects

Marked pair correlation function

plot.bermantest

Plot Result of Berman Test

Pool Data from Several Envelopes

Nonparametric Estimate of Spatially-Varying Relative Risk

Smoothed Relative Density of Pairs of Covariate Values

Methods for Intensity Functions of Spatial Covariate

reload.or.compute

Compute Unless Previously Saved

Nonparametric Estimate of Intensity as Function of a Covariate

Estimate of Spatially-Varying Relative Risk

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Compute Predictors from Sufficient Dimension Reduction

Receiver Operating Characteristic

spatstat.explore-deprecated

Deprecated spatstat.explore functions

Scatterplot Matrix for Pixel Images

quadrat.test.splitppp

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

Significance Trace of Dao-Genton Test

Dao-Genton Adjusted Goodness-Of-Fit Test

quantile.density

Quantiles of a Density Estimate

spatstat.explore-internal

Internal spatstat.explore functions

Radial Cumulative Integral

Estimate the Spatial Covariance Function of a Random Field

Panel Plots using Colour Image or Contour Lines

Spatial Cumulative Distribution Function

Rotational Average of a Pixel Image

Compute Integral of Function Against Cumulative Distribution

Stienen Diagram

Pixel Values Along a Transect

Function Arrays for Spatial Patterns

Extract or Change the Plot Formula for a Function Value Table

Confidence Interval for Threshold of Numerical Predictor

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Make Function Tables Compatible

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

Estimate Variance of Summary Statistic by Subdivision

Spatial Scan Test

Inhomogeneous Pair Correlation Function

Plot a Function Array

Likelihood Ratio Test Statistic for Scan Test

Hopkins-Skellam Test

Integral of Squared Kernel

Plot Function Values

pool.quadrattest

Pool Several Quadrat Tests

Pool Data from Several Ratio Objects

Contact Distribution Function using Rectangular Structuring Element

Kaplan-Meier and Reduced Sample Estimator using Histograms

Local pair correlation function

Reduced Sample Estimator using Histogram Data

Studentised Permutation Test

Bootstrap Confidence Bands for Summary Function

subspaceDistance

Distance Between Linear Spaces

Pair Correlation Function

Pair Correlation Function obtained from array of K functions

Plot Laslett Transform

Evaluate Expression in a Spatially Sampled Function

Data Sharpening of Point Pattern

segregation.test

Test of Spatial Segregation of Types

spatstat.explore-package

The spatstat.explore Package

plot.studpermutest

Plot a Studentised Permutation Test

plot.quadrattest

Display the result of a quadrat counting test.

Spatially Sampled Function

Range of Function Values

Evaluate an Expression in a Function Table