spatstat.core

The Area Interaction Point Process Model

Hybrid Geyer Point Process Model

Cumulative Distribution Function From Kernel Density Estimate

The Connected Component Process Model

Diggle-Gates-Stibbard Point Process Model

Diggle-Gratton model

Diagnostics for random marking

Extract Subset of Function Array

Extract or Replace Subset of Function Values

Extract Subset of Influence Object

Extract Subset of Leverage Object

Extract Subset of Signed or Vector Measure

Subset of spatially sampled function

Empty Space Function of a Three-Dimensional Point Pattern

Estimate the Empty Space Function or its Hazard Rate

The Fiksel Interaction

Inhomogeneous Empty Space Function

Inhomogeneous Marked F-Function

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

Model Compensator of Nearest Neighbour Function

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

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

Nearest Neighbour Distance Function G

Geyer's Saturation Point Process Model

Foxall's Distance Functions

Inhomogeneous Nearest Neighbour Function

Marked Nearest Neighbour Distance Function

Inhomogeneous Marked G-Function

Residual G Function

The Hard Core Point Process Model

Spherical Contact Distribution Function

The Hierarchical Hard Core Point Process Model

The Hierarchical Strauss Point Process Model

The Hierarchical Strauss Hard Core Point Process Model

Hybrid Interaction Point Process Model

Estimate the I-function

Multitype J Function (i-to-j)

Multitype J Function (i-to-any)

Estimate the J-function

Inhomogeneous J-function

Marked J Function

K-function of a Three-Dimensional Point Pattern

Model Compensator of K Function

Multitype K Function (Cross-type)

Inhomogeneous Cross K Function

Multitype K Function (i-to-any)

Inhomogeneous Multitype K Dot Function

K-function

K-function using FFT

Inhomogeneous K-function

Mark-Weighted K Function

Reduced Second Moment Measure

K Function or Pair Correlation Function of a Point Process Model

K-function or Pair Correlation Function of a Determinantal Point Process Model

K Function or Pair Correlation Function of Cluster Model or Cox model

K Function or Pair Correlation Function of Gibbs Point Process model

Marked K-Function

Inhomogeneous Marked K-Function

Residual K Function

Locally Scaled K-function

Sector K-function

Lambert's W Function

Multitype L-function (cross-type)

Inhomogeneous Cross Type L Function

Multitype L-function (i-to-any)

Inhomogeneous Multitype L Dot Function

The Lennard-Jones Potential

L-function

Inhomogeneous L-function

The Multitype Hard Core Point Process Model

The Multitype Strauss Point Process Model

The Multitype/Hard Core Strauss Point Process Model

Arithmetic Operations on Measures

Generic Ord Interaction model

Ord's Interaction model

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

The Piecewise Constant Pairwise Interaction Point Process Model

Generic Pairwise Interaction model

Penttinen Interaction

Poisson Point Process Model

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Saturated Pairwise Interaction model

Spatial smoothing of data

Apply Smoothing to Function Values

Smooth a Signed or Vector-Valued Measure

Spatial smoothing of observations at irregular points

Smooth a Spatially Sampled Function

Smooth Interpolation of Marks as a Spatial Function

The Soft Core Point Process Model

The Strauss Point Process Model

The Strauss / Hard Core Point Process Model

The Triplet Point Process Model

Third order summary statistic

Extract Window of Spatial Object

Adaptive Estimate of Intensity of Point Pattern

Added Variable Plot for Point Process Model

Calculate four standard summary functions of a point pattern.

Calculate Summary Statistic for All Types in a Multitype Point Pattern

ANOVA for Fitted Point Process Models for Replicated Patterns

ANOVA for Fitted Point Process Models

Analysis of Deviance for Spatial Logistic Regression Models

Coerce Envelope to Data Frame

Convert Function Value Table to Function

Convert Leverage Object to Function of Coordinates

Convert Function Table to Function

Convert Data To Class fv

Extract Interaction Structure

Convert Measure To Layered Object

Convert Data To Class owin

Extract Fitted Point Process Model

Area Under ROC Curve

Bias Correction for Fitted Model

Berman's Tests for Point Process Model

Combine Function Value Tables

Global Envelopes for Balanced Independent Two-Stage Test

Balanced Independent Two-Stage Monte Carlo Test

Apply Gaussian Blur to a Pixel Image

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

Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule

Abramson's Adaptive Bandwidths

Cross Validated Bandwidth Selection for Kernel Density

Bandwidth Selection Based on Window Geometry

Cross Validated Bandwidth Selection for Pair Correlation Function

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation

Cross Validated Bandwidth Selection for Relative Risk Estimation

Scott's Rule for Bandwidth Selection for Kernel Density

Cross Validated Bandwidth Selection for Spatial Smoothing

Stoyan's Rule of Thumb for Bandwidth Selection

Fit the Neyman-Scott cluster process with Cauchy kernel

Fit the Neyman-Scott cluster process with Cauchy kernel

Spatial Distribution Test for Point Pattern or Point Process Model

Spatial Distribution Test for Multiple Point Process Model

Density Estimation for Circular Data

Clark and Evans Aggregation Index

Clark and Evans Test

Count Close Pairs of Points

Field of clusters

Fit Cluster or Cox Point Process Model via Minimum Contrast

Extract Cluster Offspring Kernel

Compute or Extract Effective Range of Cluster Kernel

Allard-Fraley Estimator of Cluster Feature

Coefficients of Point Process Model Fitted to Multiple Point Patterns

Coefficients of Fitted Point Process Model

Coefficients of Fitted Spatial Logistic Regression Model

Collapse Several Function Tables into One

Residual Diagnostics for Multiple Fitted Models

Test Whether Function Arrays Are Compatible

Test Whether Function Objects Are Compatible

Generic Calculation of K Function and Pair Correlation Function

Extract Original Data from a Fitted Point Process Model

Progress Plot of Test of Spatial Pattern

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

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

Default Expansion Rule for Simulation of Model

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Kernel Smoothed Intensity of Point Pattern