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spatstat.explore (version 3.3-1)

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

52,902

Version

3.3-1

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

July 15th, 2024

Functions in spatstat.explore (3.3-1)

Multitype J Function (i-to-any)

Test Whether Function Objects Are Compatible

Marked Nearest Neighbour Distance Function

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

Extract Subset of Function Array

Spatial smoothing of data

Evaluate Expression Involving Function Arrays

Estimate the Empty Space Function or its Hazard Rate

Spherical Contact Distribution Function

Density Estimation for Circular Data

Local Multitype K Function (Cross-Type)

Inhomogeneous Empty Space Function

Estimate the I-function

Covariance and Correlation between Images

Spatially Sampled Function

densityAdaptiveKernel.ppp

Adaptive Kernel Estimate of Intensity of Point Pattern

Multitype J Function (i-to-j)

Inhomogeneous Multitype J function (i-to-j)

Apply Gaussian Blur to a Pixel Image

Dao-Genton Adjusted Goodness-Of-Fit Test

Sector K-function

Empty Space Function of a Three-Dimensional Point Pattern

Calculate four standard summary functions of a point pattern.

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

Multitype K Function (i-to-any)

as.function.rhohat

Convert Function Table to Function

Window.quadrattest

Extract Window of Spatial Object

Cross Validated Bandwidth Selection for Spatial Smoothing

Diagnostics for random marking

Reduced Second Moment Measure

Nearest Neighbour Distance Function G

Inhomogeneous Cross K Function

Third order summary statistic

Marked J Function

Cross Validated Bandwidth Selection for Pair Correlation Function

Inhomogeneous Multitype G Dot Function

clarkevans.test

Clark and Evans Test

Inhomogeneous Multitype G Cross Function

Smooth a Spatially Sampled Function

Convert Data To Class fv

Mark-Weighted K Function

Locally Scaled K-function

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

Balanced Independent Two-Stage Monte Carlo Test

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

envelope.envelope

Recompute Envelopes

Inhomogeneous Multitype J function (i-to-any)

Inhomogeneous Multitype K Dot Function

Inhomogeneous Marked F-Function

Progress Plot of Test of Spatial Pattern

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

Scott's Rule for Bandwidth Selection for Kernel Density

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Extract or Replace Subset of Function Values

S3 Group Generic Methods for Function Arrays

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Pair Correlation Function obtained from array of K functions

as.owin.quadrattest

Convert Data To Class owin

Inhomogeneous Marked G-Function

Convert Data To Tessellation

Pair Correlation Function

compatible.fasp

Test Whether Function Arrays Are Compatible

Subset of spatially sampled function

Plot a Function Array

Generic Calculation of Cumulative Distribution Function of Distances

Inhomogeneous Marked J-Function

Evaluate Expression in a Spatially Sampled Function

Combine Function Value Tables

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Inhomogeneous L-function

Smooth Interpolation of Marks as a Spatial Function

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

as.data.frame.envelope

Coerce Envelope to Data Frame

Inhomogeneous Nearest Neighbour Function

Foxall's Distance Functions

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

Function Value Table

Multitype L-function (cross-type)

K-function of a Three-Dimensional Point Pattern

Extract or Change the Plot Formula for a Function Value Table

Plot Result of Scan Test

Multitype L-function (i-to-any)

Evaluate Expression Involving Functions

bw.CvL.adaptive

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

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Bandwidth Selection Based on Window Geometry

Distribution Function of Interpoint Distance

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Plot a Spatial Distribution Test

Inhomogeneous Multitype L Dot Function

S3 Group Generic Methods for Function Tables

Cross Validated Bandwidth Selection for Relative Risk Estimation

Global Envelopes for Balanced Independent Two-Stage Test

Generic Calculation of K Function and Pair Correlation Function

Fry Plot of Point Pattern

Function Arrays for Spatial Patterns

Plot Function Values

Multitype pair correlation function (cross-type)

Estimate Dimension of Central Subspace

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

Multitype K Function (Cross-type)

Pair Correlation Function of Point Pattern

Inhomogeneous K-function

Diffusion Estimate of Point Pattern Intensity

Kernel Smoothing of Line Segment Pattern

Pair Correlation Function of a Three-Dimensional Point Pattern

localKcross.inhom

Inhomogeneous Multitype K Function

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

K-function using FFT

Collapse Several Function Tables into One

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

spatstat.explore-internal

Internal spatstat.explore functions

Stienen Diagram

Mark Correlation Function

Spatial Distribution Test for Point Pattern or Point Process Model

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Apply Smoothing to Function Values

Kernel Estimate of Intensity as a Spatial Function

Estimate the J-function

Simulation Envelopes of Summary Function

Heat Kernel for a Two-Dimensional Rectangle

Pair Correlation Function obtained from K Function

Rotational Average of a Pixel Image

Inhomogeneous Cross Type L Function

Spatial Scan Test

plot.bermantest

Plot Result of Berman Test

Laslett's Transform

Mark Cross-Correlation Function

Abbreviations for Groups of Columns in Function Value Table

Inhomogeneous J-function

domain.quadrattest

Extract the Domain of any Spatial Object

Allard-Fraley Estimator of Cluster Feature

Global Envelopes for Dao-Genton Test

Calculate Derivative of Function Values

Mean of a Function of Interpoint Distance

Contact Distribution Function using Rectangular Structuring Element

markmarkscatter

Mark-Mark Scatter Plot

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Neighbourhood density function

Mark Connection Function

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Inverse-distance weighted smoothing of observations at irregular points

Smoothed Relative Density of Pairs of Covariate Values

Radial Cumulative Integral

Marked K-Function

Pool Data from a List of Objects

Pool Data from Several Envelopes

Spatial smoothing of observations at irregular points

Nearest Neighbour Orientation Distribution

Increments of a Function

Ripley's Isotropic Edge Correction

Array of Simulation Envelopes of Summary Function

Evaluate an Expression in a Function Table

Inhomogeneous Marked K-Function

Convert Function Value Table to Function

reload.or.compute

Compute Unless Previously Saved

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Pool Several Functions

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Kernel Smoothed Intensity of Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

quadrat.test.splitppp

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

Create a Function Value Table

Local Multitype K Function (Dot-Type)

Nonparametric Estimate of Intensity as Function of a Covariate

Point Pair Orientation Distribution

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

Simulation Envelopes of Summary Function for 3D Point Pattern

Plot a Simulation Envelope

Pool Data from Several Ratio Objects

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

Cross Validated Bandwidth Selection for Kernel Density

Compute Predictors from Sufficient Dimension Reduction

SpatialQuantile

Spatially Weighted Median or Quantile

Data Sharpening of Point Pattern

Nonparametric Estimate of Spatially-Varying Relative Risk

Estimate the Spatial Covariance Function of a Random Field

Area Under ROC Curve

Berman's Tests for Point Process Model

Clark and Evans Aggregation Index

Progress Plot of Dao-Genton Test of Spatial Pattern

bw.optim.object

Class of Optimized Bandwidths

Methods for Spatially Sampled Functions

Compute Integral of Function Object

Nearest Neighbour Clutter Removal

Methods for Intensity Functions of Spatial Covariate

Estimate of Spatially-Varying Relative Risk

Make Function Tables Compatible

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Marked pair correlation function

Likelihood Ratio Test Statistic for Scan Test

Panel Plots using Colour Image or Contour Lines

Significance Trace of Dao-Genton Test

Inhomogeneous Pair Correlation Function

Local pair correlation function

pool.quadrattest

Pool Several Quadrat Tests

Plot a Spatially Sampled Function

Receiver Operating Characteristic

Spatial Cumulative Distribution Function

Translation Edge Correction

Scatterplot Matrix for Pixel Images

Pool Data from Several Function Arrays

Bootstrap Confidence Bands for Summary Function

plot.studpermutest

Plot a Studentised Permutation Test

Pixel Values Along a Transect

spatstat.explore-deprecated

Deprecated spatstat.explore functions

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

Hopkins-Skellam Test

Plot Laslett Transform

plot.quadrattest

Display the result of a quadrat counting test.

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Estimate Variance of Summary Statistic by Subdivision

Inhomogeneous Neighbourhood Density Function

Morisita Index Plot

Studentised Permutation Test

Sufficient Dimension Reduction

Multitype pair correlation function (i-to-any)

subspaceDistance

Distance Between Linear Spaces

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

segregation.test

Test of Spatial Segregation of Types

Confidence Interval for Threshold of Numerical Predictor

spatstat.explore-package

The spatstat.explore Package