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spatstat.explore (version 3.2-3)

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

54,262

Version

3.2-3

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

September 7th, 2023

Functions in spatstat.explore (3.2-3)

Cumulative Distribution Function From Kernel Density Estimate

Estimate the Empty Space Function or its Hazard Rate

Inhomogeneous Empty Space Function

Inhomogeneous Marked F-Function

Diagnostics for random marking

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

Inhomogeneous Multitype G Cross Function

Inhomogeneous Marked G-Function

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

Subset of spatially sampled function

Extract Subset of Function Array

Nearest Neighbour Distance Function G

Spherical Contact Distribution Function

Inhomogeneous Multitype J function (i-to-any)

Inhomogeneous J-function

Marked J Function

Inhomogeneous K-function

Foxall's Distance Functions

Mark-Weighted K Function

Inhomogeneous Multitype J function (i-to-j)

Sector K-function

Estimate the J-function

Multitype L-function (cross-type)

Extract or Replace Subset of Function Values

Inhomogeneous Nearest Neighbour Function

K-function using FFT

Empty Space Function of a Three-Dimensional Point Pattern

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

Multitype J Function (i-to-any)

Marked Nearest Neighbour Distance Function

Inhomogeneous Cross Type L Function

Area Under ROC Curve

Inhomogeneous L-function

S3 Group Generic Methods for Function Arrays

Inhomogeneous Marked J-Function

Berman's Tests for Point Process Model

Multitype K Function (Cross-type)

Inhomogeneous Cross K Function

Inhomogeneous Multitype G Dot Function

Multitype L-function (i-to-any)

Estimate the I-function

Window.quadrattest

Extract Window of Spatial Object

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

S3 Group Generic Methods for Function Tables

Abramson's Adaptive Bandwidths

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

Multitype J Function (i-to-j)

Reduced Second Moment Measure

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

as.data.frame.envelope

Coerce Envelope to Data Frame

as.owin.quadrattest

Convert Data To Class owin

Convert Data To Tessellation

Cross Validated Bandwidth Selection for Pair Correlation Function

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Marked K-Function

Smooth Interpolation of Marks as a Spatial Function

Generic Calculation of K Function and Pair Correlation Function

Inhomogeneous Multitype L Dot Function

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Third order summary statistic

Cross Validated Bandwidth Selection for Kernel Density

Covariance and Correlation between Images

Collapse Several Function Tables into One

Calculate four standard summary functions of a point pattern.

Calculate Summary Statistic for All Types in a Multitype Point Pattern

K-function of a Three-Dimensional Point Pattern

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Multitype K Function (i-to-any)

Convert Function Value Table to Function

compatible.fasp

Test Whether Function Arrays Are Compatible

Spatial smoothing of observations at irregular points

Significance Trace of Dao-Genton Test

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Inhomogeneous Multitype K Dot Function

Balanced Independent Two-Stage Monte Carlo Test

Smooth a Spatially Sampled Function

as.function.rhohat

Convert Function Table to Function

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

Dao-Genton Adjusted Goodness-Of-Fit Test

Apply Gaussian Blur to a Pixel Image

Inhomogeneous Marked K-Function

Cross Validated Bandwidth Selection for Relative Risk Estimation

Locally Scaled K-function

Density Estimation for Circular Data

Simulation Envelopes of Summary Function for 3D Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

Kernel Smoothed Intensity of Point Pattern

Kernel Estimate of Intensity as a Spatial Function

Array of Simulation Envelopes of Summary Function

Calculate Derivative of Function Values

Convert Data To Class fv

Clark and Evans Aggregation Index

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

Function Value Table

Spatial smoothing of data

Apply Smoothing to Function Values

Spatial Distribution Test for Point Pattern or Point Process Model

bw.CvL.adaptive

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

Function Arrays for Spatial Patterns

Abbreviations for Groups of Columns in Function Value Table

Ripley's Isotropic Edge Correction

Translation Edge Correction

Scale factor for density kernel

Moment of Smoothing Kernel

Fry Plot of Point Pattern

Scatterplot Matrix for Pixel Images

Create a Function Value Table

Panel Plots using Colour Image or Contour Lines

Local Multitype K Function (Dot-Type)

Inhomogeneous Neighbourhood Density Function

Combine Function Value Tables

Global Envelopes for Balanced Independent Two-Stage Test

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Methods for Intensity Functions of Spatial Covariate

Bandwidth Selection Based on Window Geometry

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

Extract or Change the Plot Formula for a Function Value Table

densityAdaptiveKernel

Adaptive Kernel Estimate of Intensity of Point Pattern

bw.optim.object

Class of Optimized Bandwidths

Scott's Rule for Bandwidth Selection for Kernel Density

Inhomogeneous Pair Correlation Function

Plot a Spatial Distribution Test

Local Multitype K Function (Cross-Type)

localKcross.inhom

Inhomogeneous Multitype K Function

Test Whether Function Objects Are Compatible

Mark Cross-Correlation Function

Cross Validated Bandwidth Selection for Spatial Smoothing

clarkevans.test

Clark and Evans Test

markmarkscatter

Mark-Mark Scatter Plot

Generic Calculation of Cumulative Distribution Function of Distances

Methods for Spatially Sampled Functions

Nearest Neighbour Clutter Removal

Diffusion Estimate of Point Pattern Intensity

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Morisita Index Plot

Pair Correlation Function of a Three-Dimensional Point Pattern

Progress Plot of Test of Spatial Pattern

Global Envelopes for Dao-Genton Test

Multitype pair correlation function (cross-type)

Progress Plot of Dao-Genton Test of Spatial Pattern

Plot a Function Array

Pair Correlation Function obtained from K Function

Plot a Simulation Envelope

Plot Function Values

Pair Correlation Function of Point Pattern

Pool Data from a List of Objects

plot.studpermutest

Plot a Studentised Permutation Test

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

Estimate Dimension of Central Subspace

Pool Data from Several Envelopes

Smoothed Relative Density of Pairs of Covariate Values

Nonparametric Estimate of Intensity as Function of a Covariate

Receiver Operating Characteristic

Allard-Fraley Estimator of Cluster Feature

Distribution Function of Interpoint Distance

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Stienen Diagram

Kernel Smoothing of Line Segment Pattern

Spatial Cumulative Distribution Function

spatstat.explore-deprecated

Deprecated spatstat.explore functions

Studentised Permutation Test

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Heat Kernel for a Two-Dimensional Rectangle

Simulation Envelopes of Summary Function

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

quadrat.test.splitppp

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

Estimate Variance of Summary Statistic by Subdivision

Kernel distributions and random generation

envelope.envelope

Recompute Envelopes

domain.quadrattest

Extract the Domain of any Spatial Object

Evaluate Expression Involving Function Arrays

Contact Distribution Function using Rectangular Structuring Element

Inverse-distance weighted smoothing of observations at irregular points

Mark Connection Function

Rotational Average of a Pixel Image

Mark Correlation Function

Make Function Tables Compatible

Pixel Values Along a Transect

Hopkins-Skellam Test

Spatial Scan Test

Evaluate an Expression in a Function Table

Laslett's Transform

Neighbourhood density function

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Multitype pair correlation function (i-to-any)

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Plot Result of Scan Test

Plot a Spatially Sampled Function

Spatially Sampled Function

Compute Integral of Function Against Cumulative Distribution

Evaluate Expression Involving Functions

Increments of a Function

Pool Data from Several Function Arrays

Kaplan-Meier Estimator using Histogram Data

Integral of Squared Kernel

Pool Several Functions

quantile.density

Quantiles of a Density Estimate

Radial Cumulative Integral

Compute Predictors from Sufficient Dimension Reduction

segregation.test

Test of Spatial Segregation of Types

Mean of a Function of Interpoint Distance

Point Pair Orientation Distribution

Kaplan-Meier and Reduced Sample Estimator using Histograms

Plot Laslett Transform

plot.quadrattest

Display the result of a quadrat counting test.

pool.quadrattest

Pool Several Quadrat Tests

Local pair correlation function

Pool Data from Several Ratio Objects

Reduced Sample Estimator using Histogram Data

reload.or.compute

Compute Unless Previously Saved

Bootstrap Confidence Bands for Summary Function

Data Sharpening of Point Pattern

Estimate the Spatial Covariance Function of a Random Field

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

spatstat.explore-internal

Internal spatstat.explore functions

Nearest Neighbour Orientation Distribution

spatstat.explore-package

The spatstat.explore Package

Pair Correlation Function

Pair Correlation Function obtained from array of K functions

Marked pair correlation function

plot.bermantest

Plot Result of Berman Test

Estimate of Spatially-Varying Relative Risk

Nonparametric Estimate of Spatially-Varying Relative Risk

Likelihood Ratio Test Statistic for Scan Test

Sufficient Dimension Reduction

subspaceDistance

Distance Between Linear Spaces

Confidence Interval for Threshold of Numerical Predictor

Evaluate Expression in a Spatially Sampled Function