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spatstat.explore (version 3.3-3)

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

50,321

Version

3.3-3

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

October 22nd, 2024

Functions in spatstat.explore (3.3-3)

Empty Space Function of a Three-Dimensional Point Pattern

Diagnostics for random marking

Inhomogeneous Empty Space Function

Extract or Replace Subset of Function Values

Extract Subset of Function Array

Inhomogeneous Marked F-Function

Subset of spatially sampled function

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

Estimate the Empty Space Function or its Hazard Rate

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

Inhomogeneous Marked G-Function

Inhomogeneous Multitype G Dot Function

Spherical Contact Distribution Function

Foxall's Distance Functions

Marked Nearest Neighbour Distance Function

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

Inhomogeneous Nearest Neighbour Function

Nearest Neighbour Distance Function G

Inhomogeneous Multitype G Cross Function

Estimate the I-function

Estimate the J-function

Inhomogeneous Multitype J function (i-to-j)

K-function of a Three-Dimensional Point Pattern

Multitype J Function (i-to-any)

Inhomogeneous Marked J-Function

Multitype K Function (Cross-type)

Inhomogeneous Multitype J function (i-to-any)

Marked J Function

Multitype J Function (i-to-j)

Inhomogeneous J-function

Reduced Second Moment Measure

Inhomogeneous Cross K Function

Multitype K Function (i-to-any)

Inhomogeneous Multitype K Dot Function

Mark-Weighted K Function

Marked K-Function

Inhomogeneous Marked K-Function

K-function using FFT

Inhomogeneous K-function

Multitype L-function (cross-type)

Inhomogeneous Cross Type L Function

Locally Scaled K-function

Sector K-function

S3 Group Generic Methods for Function Arrays

S3 Group Generic Methods for Function Tables

Multitype L-function (i-to-any)

Inhomogeneous Multitype L Dot Function

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

Apply Smoothing to Function Values

Inhomogeneous L-function

Smooth a Spatially Sampled Function

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

SpatialQuantile

Spatially Weighted Median or Quantile

as.function.rhohat

Convert Function Table to Function

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

Spatial smoothing of observations at irregular points

Third order summary statistic

Calculate four standard summary functions of a point pattern.

Convert Data To Class fv

Combine Function Value Tables

Spatial Smoothing of Data by Diffusion

Spatial Smoothing of Observations using Diffusion Estimate of Density

Smooth Interpolation of Marks as a Spatial Function

Global Envelopes for Balanced Independent Two-Stage Test

Area Under ROC Curve

Calculate Summary Statistic for All Types in a Multitype Point Pattern

as.owin.quadrattest

Convert Data To Class owin

Berman's Tests for Point Process Model

bw.optim.object

Class of Optimized Bandwidths

Window.quadrattest

Extract Window of Spatial Object

Spatial smoothing of data

Convert Data To Tessellation

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

as.data.frame.envelope

Coerce Envelope to Data Frame

Convert Function Value Table to Function

Cross Validated Bandwidth Selection for Kernel Density

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Cross Validated Bandwidth Selection for Pair Correlation Function

Collapse Several Function Tables into One

compatible.fasp

Test Whether Function Arrays Are Compatible

Balanced Independent Two-Stage Monte Carlo Test

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Cross Validated Bandwidth Selection for Relative Risk Estimation

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

Bandwidth Selection Based on Window Geometry

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Apply Gaussian Blur to a Pixel Image

bw.CvL.adaptive

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

Scott's Rule for Bandwidth Selection for Kernel Density

bw.relriskHeatppp

Bandwidth Selection for Relative Risk using Diffusion

Kernel Estimate of Intensity as a Spatial Function

Stoyan's Rule of Thumb for Bandwidth Selection

clarkevans.test

Clark and Evans Test

Test Whether Function Objects Are Compatible

Spatial Distribution Test for Point Pattern or Point Process Model

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Density Estimation for Circular Data

Fry Plot of Point Pattern

Clark and Evans Aggregation Index

Progress Plot of Test of Spatial Pattern

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

Generic Calculation of Cumulative Distribution Function of Distances

Create a Function Value Table

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

Distribution Function of Interpoint Distance

domain.quadrattest

Extract the Domain of any Spatial Object

Calculate Derivative of Function Values

Global Envelopes for Dao-Genton Test

Laslett's Transform

Cross Validated Bandwidth Selection for Spatial Smoothing

Kernel Smoothing of Line Segment Pattern

Progress Plot of Dao-Genton Test of Spatial Pattern

Significance Trace of Dao-Genton Test

Allard-Fraley Estimator of Cluster Feature

Kernel Smoothed Intensity of Point Pattern

Generic Calculation of K Function and Pair Correlation Function

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Dao-Genton Adjusted Goodness-Of-Fit Test

Diffusion Estimate of Point Pattern Intensity

Neighbourhood density function

Estimate Dimension of Central Subspace

Mark Cross-Correlation Function

Evaluate Expression Involving Function Arrays

Function Value Table

markmarkscatter

Mark-Mark Scatter Plot

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Covariance and Correlation between Images

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Local Multitype K Function (Cross-Type)

Evaluate Expression Involving Functions

Abbreviations for Groups of Columns in Function Value Table

Methods for Intensity Functions of Spatial Covariate

densityAdaptiveKernel.ppp

Adaptive Kernel Estimate of Intensity of Point Pattern

Mean of a Function of Interpoint Distance

localKcross.inhom

Inhomogeneous Multitype K Function

Ripley's Isotropic Edge Correction

Pair Correlation Function of a Three-Dimensional Point Pattern

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Make Function Tables Compatible

Point Pair Orientation Distribution

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

Translation Edge Correction

Function Arrays for Spatial Patterns

Simulation Envelopes of Summary Function

Pair Correlation Function obtained from K Function

Pair Correlation Function

envelope.envelope

Recompute Envelopes

Multitype pair correlation function (cross-type)

Simulation Envelopes of Summary Function for 3D Point Pattern

Hopkins-Skellam Test

Plot a Function Array

Plot Function Values

Pair Correlation Function of Point Pattern

plot.studpermutest

Plot a Studentised Permutation Test

Pair Correlation Function obtained from array of K functions

Array of Simulation Envelopes of Summary Function

Extract or Change the Plot Formula for a Function Value Table

Marked pair correlation function

Heat Kernel for a Two-Dimensional Rectangle

plot.bermantest

Plot Result of Berman Test

Local pair correlation function

Inverse-distance weighted smoothing of observations at irregular points

Local Multitype K Function (Dot-Type)

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

Pool Data from Several Function Arrays

Inhomogeneous Neighbourhood Density Function

Nearest Neighbour Clutter Removal

Inhomogeneous Pair Correlation Function

Increments of a Function

Contact Distribution Function using Rectangular Structuring Element

Pool Several Functions

reload.or.compute

Compute Unless Previously Saved

Nonparametric Estimate of Intensity as Function of a Covariate

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Radial Cumulative Integral

Bootstrap Confidence Bands for Summary Function

Plot Laslett Transform

plot.quadrattest

Display the result of a quadrat counting test.

Compute Integral of Function Object

pool.quadrattest

Pool Several Quadrat Tests

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Mark Connection Function

Receiver Operating Characteristic

Pool Data from Several Ratio Objects

Mark Correlation Function

Estimate of Spatially-Varying Relative Risk

Sufficient Dimension Reduction

Methods for Spatially Sampled Functions

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Compute Predictors from Sufficient Dimension Reduction

Stienen Diagram

Nearest Neighbour Orientation Distribution

Pixel Values Along a Transect

Studentised Permutation Test

Estimate the Spatial Covariance Function of a Random Field

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Morisita Index Plot

Nonparametric Estimate of Spatially-Varying Relative Risk

Scatterplot Matrix for Pixel Images

Multitype pair correlation function (i-to-any)

Spatial Cumulative Distribution Function

Panel Plots using Colour Image or Contour Lines

Pool Data from a List of Objects

Rotational Average of a Pixel Image

spatstat.explore-package

The spatstat.explore Package

Spatially Sampled Function

Pool Data from Several Envelopes

Plot a Spatial Distribution Test

Diffusion Estimate of Conditional Probabilities

Plot a Simulation Envelope

Smoothed Relative Density of Pairs of Covariate Values

Plot Result of Scan Test

Spatial Scan Test

Plot a Spatially Sampled Function

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Likelihood Ratio Test Statistic for Scan Test

quadrat.test.splitppp

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

segregation.test

Test of Spatial Segregation of Types

spatstat.explore-deprecated

Deprecated spatstat.explore functions

spatstat.explore-internal

Internal spatstat.explore functions

Data Sharpening of Point Pattern

subspaceDistance

Distance Between Linear Spaces

Evaluate Expression in a Spatially Sampled Function

Confidence Interval for Threshold of Numerical Predictor

Evaluate an Expression in a Function Table

Estimate Variance of Summary Statistic by Subdivision