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spatstat.explore (version 3.2-6)

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

56,843

Version

3.2-6

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

February 1st, 2024

Functions in spatstat.explore (3.2-6)

Cumulative Distribution Function From Kernel Density Estimate

Inhomogeneous Marked F-Function

Subset of spatially sampled function

Estimate the Empty Space Function or its Hazard Rate

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

Inhomogeneous Empty Space Function

Empty Space Function of a Three-Dimensional Point Pattern

Diagnostics for random marking

Extract Subset of Function Array

Extract or Replace Subset of Function Values

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

Nearest Neighbour Distance Function G

Inhomogeneous Nearest Neighbour Function

Inhomogeneous Marked G-Function

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

Spherical Contact Distribution Function

Inhomogeneous Multitype G Cross Function

Inhomogeneous Marked J-Function

Foxall's Distance Functions

Inhomogeneous Multitype J function (i-to-j)

K-function of a Three-Dimensional Point Pattern

Multitype J Function (i-to-any)

Inhomogeneous Multitype G Dot Function

Estimate the I-function

Marked Nearest Neighbour Distance Function

Multitype J Function (i-to-j)

Inhomogeneous J-function

Marked J Function

Inhomogeneous Multitype J function (i-to-any)

Reduced Second Moment Measure

Multitype K Function (Cross-type)

Marked K-Function

Inhomogeneous Cross Type L Function

Estimate the J-function

Multitype L-function (i-to-any)

Multitype K Function (i-to-any)

Inhomogeneous K-function

Inhomogeneous Multitype K Dot Function

Inhomogeneous Cross K Function

Mark-Weighted K Function

Inhomogeneous Marked K-Function

Locally Scaled K-function

SpatialQuantile

Spatially Weighted Median or Quantile

SpatialQuantile.ppp

Spatially Weighted Quantile of Values at Points

adaptive.density

Adaptive Estimate of Intensity of Point Pattern

K-function using FFT

Inhomogeneous Multitype L Dot Function

Inhomogeneous L-function

Sector K-function

Multitype L-function (cross-type)

Apply Gaussian Blur to a Pixel Image

S3 Group Generic Methods for Function Arrays

Spatial smoothing of observations at irregular points

S3 Group Generic Methods for Function Tables

Smooth a Spatially Sampled Function

Spatial smoothing of data

Smooth Interpolation of Marks as a Spatial Function

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

Calculate four standard summary functions of a point pattern.

Convert Data To Class fv

as.owin.quadrattest

Convert Data To Class owin

Apply Smoothing to Function Values

Collapse Several Function Tables into One

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

Berman's Tests for Point Process Model

Cross Validated Bandwidth Selection for Pair Correlation Function

Combine Function Value Tables

Convert Function Value Table to Function

as.function.rhohat

Convert Function Table to Function

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Cross Validated Bandwidth Selection for Relative Risk Estimation

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

as.data.frame.envelope

Coerce Envelope to Data Frame

Kernel Smoothed Intensity of Point Pattern

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

bw.CvL.adaptive

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

compatible.fasp

Test Whether Function Arrays Are Compatible

Abramson's Adaptive Bandwidths For Spatial Point Pattern

densityAdaptiveKernel

Adaptive Kernel Estimate of Intensity of Point Pattern

Third order summary statistic

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Convert Data To Tessellation

Area Under ROC Curve

Cross Validated Bandwidth Selection for Kernel Density

Density Estimation for Circular Data

Progress Plot of Test of Spatial Pattern

Window.quadrattest

Extract Window of Spatial Object

Global Envelopes for Balanced Independent Two-Stage Test

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

Stoyan's Rule of Thumb for Bandwidth Selection

Spatial Distribution Test for Point Pattern or Point Process Model

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

Test Whether Function Objects Are Compatible

Calculate Derivative of Function Values

envelope.envelope

Recompute Envelopes

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Global Envelopes for Dao-Genton Test

Simulation Envelopes of Summary Function for 3D Point Pattern

Inverse-distance weighted smoothing of observations at irregular points

Balanced Independent Two-Stage Monte Carlo Test

Generic Calculation of Cumulative Distribution Function of Distances

Abramson's Adaptive Bandwidths

Clark and Evans Aggregation Index

Diffusion Estimate of Point Pattern Intensity

Translation Edge Correction

Bandwidth Selection Based on Window Geometry

Scott's Rule for Bandwidth Selection for Kernel Density

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Distribution Function of Interpoint Distance

Kernel distributions and random generation

bw.optim.object

Class of Optimized Bandwidths

clarkevans.test

Clark and Evans Test

Increments of a Function

Abbreviations for Groups of Columns in Function Value Table

Evaluate Expression Involving Functions

Make Function Tables Compatible

Simulation Envelopes of Summary Function

Cross Validated Bandwidth Selection for Spatial Smoothing

Allard-Fraley Estimator of Cluster Feature

Extract or Change the Plot Formula for a Function Value Table

Fry Plot of Point Pattern

Compute Integral of Function Object

Local Multitype K Function (Dot-Type)

Kaplan-Meier Estimator using Histogram Data

Function Arrays for Spatial Patterns

Integral of Squared Kernel

Generic Calculation of K Function and Pair Correlation Function

Scale factor for density kernel

Incomplete Moment of Smoothing Kernel

Covariance and Correlation between Images

Kernel Smoothing of Line Segment Pattern

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Local Multitype K Function (Cross-Type)

Kaplan-Meier and Reduced Sample Estimator using Histograms

Nearest Neighbour Clutter Removal

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Marked pair correlation function

Inhomogeneous Neighbourhood Density Function

localKcross.inhom

Inhomogeneous Multitype K Function

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Methods for Intensity Functions of Spatial Covariate

Kernel Estimate of Intensity as a Spatial Function

Progress Plot of Dao-Genton Test of Spatial Pattern

plot.bermantest

Plot Result of Berman Test

Pool Data from a List of Objects

Pool Data from Several Envelopes

Significance Trace of Dao-Genton Test

Methods for Spatially Sampled Functions

Pair Correlation Function

Pair Correlation Function obtained from array of K functions

Morisita Index Plot

Estimate of Spatially-Varying Relative Risk

Scatterplot Matrix for Pixel Images

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Multitype pair correlation function (i-to-any)

Plot Laslett Transform

Nonparametric Estimate of Spatially-Varying Relative Risk

Laslett's Transform

Dao-Genton Adjusted Goodness-Of-Fit Test

plot.quadrattest

Display the result of a quadrat counting test.

Panel Plots using Colour Image or Contour Lines

domain.quadrattest

Extract the Domain of any Spatial Object

Neighbourhood density function

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Compute Predictors from Sufficient Dimension Reduction

Estimate Dimension of Central Subspace

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Pair Correlation Function of a Three-Dimensional Point Pattern

segregation.test

Test of Spatial Segregation of Types

Mean of a Function of Interpoint Distance

Multitype pair correlation function (cross-type)

quadrat.test.splitppp

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

subspaceDistance

Distance Between Linear Spaces

Point Pair Orientation Distribution

Ripley's Isotropic Edge Correction

spatstat.explore-internal

Internal spatstat.explore functions

Create a Function Value Table

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

spatstat.explore-package

The spatstat.explore Package

Array of Simulation Envelopes of Summary Function

Inhomogeneous Pair Correlation Function

Spatially Sampled Function

Function Value Table

plot.studpermutest

Plot a Studentised Permutation Test

Hopkins-Skellam Test

Compute Integral of Function Against Cumulative Distribution

Heat Kernel for a Two-Dimensional Rectangle

Evaluate Expression Involving Function Arrays

Local pair correlation function

Confidence Interval for Threshold of Numerical Predictor

Evaluate Expression in a Spatially Sampled Function

Plot Result of Scan Test

Bootstrap Confidence Bands for Summary Function

Plot a Spatially Sampled Function

Pool Data from Several Function Arrays

Mark Connection Function

quantile.density

Quantiles of a Density Estimate

Radial Cumulative Integral

Mark Cross-Correlation Function

Mark Correlation Function

Rotational Average of a Pixel Image

markmarkscatter

Mark-Mark Scatter Plot

Spatial Scan Test

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Pair Correlation Function obtained from K Function

Pixel Values Along a Transect

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Pair Correlation Function of Point Pattern

Nearest Neighbour Orientation Distribution

Pool Several Functions

Plot a Spatial Distribution Test

Contact Distribution Function using Rectangular Structuring Element

Reduced Sample Estimator using Histogram Data

reload.or.compute

Compute Unless Previously Saved

Plot a Simulation Envelope

Spatial Cumulative Distribution Function

Receiver Operating Characteristic

spatstat.explore-deprecated

Deprecated spatstat.explore functions

Stienen Diagram

Studentised Permutation Test

Plot a Function Array

Plot Function Values

pool.quadrattest

Pool Several Quadrat Tests

Data Sharpening of Point Pattern

Estimate the Spatial Covariance Function of a Random Field

Pool Data from Several Ratio Objects

Smoothed Relative Density of Pairs of Covariate Values

Estimate Variance of Summary Statistic by Subdivision

Nonparametric Estimate of Intensity as Function of a Covariate

Likelihood Ratio Test Statistic for Scan Test

Evaluate an Expression in a Function Table

Sufficient Dimension Reduction