Learn R Programming

⚠️There's a newer version (3.3-3) of this package.Take me there.

spatstat.explore (version 3.2-7)

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.

Copy Link

Version

Install

install.packages('spatstat.explore')

Monthly Downloads

61,638

Version

3.2-7

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 21st, 2024

Functions in spatstat.explore (3.2-7)

Subset of spatially sampled function

Estimate the Empty Space Function or its Hazard Rate

Inhomogeneous Marked F-Function

Empty Space Function of a Three-Dimensional Point Pattern

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

Extract Subset of Function Array

Inhomogeneous Empty Space Function

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

Inhomogeneous Multitype G Dot Function

Extract or Replace Subset of Function Values

Cumulative Distribution Function From Kernel Density Estimate

Diagnostics for random marking

Nearest Neighbour Distance Function G

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

Inhomogeneous Nearest Neighbour Function

Estimate the I-function

Marked Nearest Neighbour Distance Function

Inhomogeneous Cross Type L Function

Inhomogeneous Multitype G Cross Function

Foxall's Distance Functions

Multitype J Function (i-to-j)

Inhomogeneous Marked G-Function

Inhomogeneous Multitype J function (i-to-any)

Multitype L-function (i-to-any)

Estimate the J-function

Spherical Contact Distribution Function

Inhomogeneous Multitype J function (i-to-j)

Multitype J Function (i-to-any)

Inhomogeneous Marked J-Function

K-function of a Three-Dimensional Point Pattern

Multitype K Function (i-to-any)

Inhomogeneous Multitype K Dot Function

Multitype K Function (Cross-type)

Inhomogeneous Cross K Function

Inhomogeneous K-function

Global Envelopes for Balanced Independent Two-Stage Test

Inhomogeneous J-function

Mark-Weighted K Function

Sector K-function

Balanced Independent Two-Stage Monte Carlo Test

Marked J Function

Inhomogeneous Multitype L Dot Function

Cross Validated Bandwidth Selection for Pair Correlation Function

Reduced Second Moment Measure

Inhomogeneous L-function

S3 Group Generic Methods for Function Arrays

Spatial smoothing of observations at irregular points

Marked K-Function

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Smooth a Spatially Sampled Function

K-function using FFT

Multitype L-function (cross-type)

Inhomogeneous Marked 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

Locally Scaled K-function

Calculate four standard summary functions of a point pattern.

Stoyan's Rule of Thumb for Bandwidth Selection

S3 Group Generic Methods for Function Tables

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

Smooth Interpolation of Marks as a Spatial Function

Spatial smoothing of data

Convert Data To Class fv

SpatialMedian.ppp

Spatially Weighted Median of Values at Points

Spatial Distribution Test for Point Pattern or Point Process Model

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

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Kernel Smoothed Intensity of Point Pattern

as.owin.quadrattest

Convert Data To Class owin

Convert Function Value Table to Function

as.data.frame.envelope

Coerce Envelope to Data Frame

as.function.rhohat

Convert Function Table to Function

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

Apply Gaussian Blur to a Pixel Image

Berman's Tests for Point Process Model

Translation Edge Correction

Apply Smoothing to Function Values

bw.CvL.adaptive

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

Convert Data To Tessellation

Third order summary statistic

Simulation Envelopes of Summary Function

Bandwidth Selection Based on Window Geometry

Window.quadrattest

Extract Window of Spatial Object

Combine Function Value Tables

bw.optim.object

Class of Optimized Bandwidths

Area Under ROC Curve

Abramson's Adaptive Bandwidths For Spatial Point Pattern

Extract or Change the Plot Formula for a Function Value Table

Fry Plot of Point Pattern

Cross Validated Bandwidth Selection for Kernel Density

Compute Integral of Function Object

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Kaplan-Meier Estimator using Histogram Data

Collapse Several Function Tables into One

Scott's Rule for Bandwidth Selection for Kernel Density

compatible.fasp

Test Whether Function Arrays Are Compatible

Cross Validated Bandwidth Selection for Relative Risk Estimation

Cross Validated Bandwidth Selection for Spatial Smoothing

clarkevans.test

Clark and Evans Test

Generic Calculation of K Function and Pair Correlation Function

Covariance and Correlation between Images

Allard-Fraley Estimator of Cluster Feature

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Progress Plot of Test of Spatial Pattern

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

densityAdaptiveKernel

Adaptive Kernel Estimate of Intensity of Point Pattern

Progress Plot of Dao-Genton Test of Spatial Pattern

Significance Trace of Dao-Genton Test

densityAdaptiveKernel.splitppp

Adaptive Kernel Estimate of Intensity for Split Point Pattern

domain.quadrattest

Extract the Domain of any Spatial Object

Abramson's Adaptive Bandwidths

Kernel Smoothing of Line Segment Pattern

Density Estimation for Circular Data

Clark and Evans Aggregation Index

Nearest Neighbour Clutter Removal

Calculate Derivative of Function Values

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Global Envelopes for Dao-Genton Test

Ripley's Isotropic Edge Correction

Nearest Neighbour Orientation Distribution

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Distribution Function of Interpoint Distance

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

Dao-Genton Adjusted Goodness-Of-Fit Test

Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation

Inhomogeneous Pair Correlation Function

Kernel Estimate of Intensity as a Spatial Function

plot.studpermutest

Plot a Studentised Permutation Test

Estimate Dimension of Central Subspace

Test Whether Function Objects Are Compatible

Contact Distribution Function using Rectangular Structuring Element

Kernel distributions and random generation

Estimate of Spatially-Varying Relative Risk

Generic Calculation of Cumulative Distribution Function of Distances

Integral of Squared Kernel

Nonparametric Estimate of Spatially-Varying Relative Risk

envelope.envelope

Recompute Envelopes

Abbreviations for Groups of Columns in Function Value Table

Diffusion Estimate of Point Pattern Intensity

densityHeat.ppp

Diffusion Estimate of Point Pattern Intensity

Simulation Envelopes of Summary Function for 3D Point Pattern

Kaplan-Meier and Reduced Sample Estimator using Histograms

Spatial Cumulative Distribution Function

Make Function Tables Compatible

spatstat.explore-deprecated

Deprecated spatstat.explore functions

subspaceDistance

Distance Between Linear Spaces

Evaluate Expression Involving Functions

Function Arrays for Spatial Patterns

Array of Simulation Envelopes of Summary Function

Confidence Interval for Threshold of Numerical Predictor

Laslett's Transform

Create a Function Value Table

Local Multitype K Function (Dot-Type)

Inverse-distance weighted smoothing of observations at irregular points

Increments of a Function

Inhomogeneous Neighbourhood Density Function

Local Multitype K Function (Cross-Type)

Evaluate Expression Involving Function Arrays

Function Value Table

Neighbourhood density function

Scale factor for density kernel

Hopkins-Skellam Test

Incomplete Moment of Smoothing Kernel

Heat Kernel for a Two-Dimensional Rectangle

localKcross.inhom

Inhomogeneous Multitype K Function

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Methods for Intensity Functions of Spatial Covariate

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Methods for Spatially Sampled Functions

Morisita Index Plot

Local pair correlation function

Bootstrap Confidence Bands for Summary Function

Mean of a Function of Interpoint Distance

Mark Connection Function

Pair Correlation Function of a Three-Dimensional Point Pattern

Point Pair Orientation Distribution

Mark Correlation Function

Multitype pair correlation function (cross-type)

Pool Data from a List of Objects

Marked pair correlation function

Pool Data from Several Envelopes

Mark Cross-Correlation Function

Pair Correlation Function

plot.bermantest

Plot Result of Berman Test

quantile.density

Quantiles of a Density Estimate

Pair Correlation Function obtained from array of K functions

Plot a Function Array

Plot a Spatial Distribution Test

Plot Function Values

Radial Cumulative Integral

Smoothed Relative Density of Pairs of Covariate Values

Nonparametric Estimate of Intensity as Function of a Covariate

Estimate Variance of Summary Statistic by Subdivision

Plot a Simulation Envelope

pool.quadrattest

Pool Several Quadrat Tests

Pool Data from Several Ratio Objects

Evaluate an Expression in a Function Table

Evaluate Expression in a Spatially Sampled Function

Plot Result of Scan Test

Rotational Average of a Pixel Image

Plot a Spatially Sampled Function

Pool Data from Several Function Arrays

Spatial Scan Test

Pool Several Functions

Data Sharpening of Point Pattern

Scatterplot Matrix for Pixel Images

markmarkscatter

Mark-Mark Scatter Plot

Panel Plots using Colour Image or Contour Lines

Likelihood Ratio Test Statistic for Scan Test

Estimate the Spatial Covariance Function of a Random Field

Stienen Diagram

Plot Laslett Transform

plot.quadrattest

Display the result of a quadrat counting test.

Receiver Operating Characteristic

Compute Predictors from Sufficient Dimension Reduction

Studentised Permutation Test

segregation.test

Test of Spatial Segregation of Types

Spatially Sampled Function

Pair Correlation Function obtained from K Function

Sufficient Dimension Reduction

Pair Correlation Function of Point Pattern

Compute Integral of Function Against Cumulative Distribution

thresholdSelect

Select Threshold to Convert Numerical Predictor to Binary Predictor

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Pixel Values Along a Transect

Multitype pair correlation function (i-to-any)

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

quadrat.test.splitppp

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

Reduced Sample Estimator using Histogram Data

reload.or.compute

Compute Unless Previously Saved

spatstat.explore-internal

Internal spatstat.explore functions

spatstat.explore-package

The spatstat.explore Package