R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
spatstat
Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
View on CRAN: Click
here
Download and install spatstat package within the R console
Install from CRAN:
install.packages("spatstat")
Install from Github:
library("remotes")
install_github("cran/spatstat") Install by package version:
library("remotes")
install_version("spatstat", "3.5-0") Attach the package and use:
library("spatstat")
Maintained by
Adrian Baddeley
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2002-01-21
Latest Update: 2025-07-25
Description:
Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory 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. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
How to cite:
Adrian Baddeley (2002). spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests. R package version 3.5-0, https://cran.r-project.org/web/packages/spatstat. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:07), 1.0-1 (2002-01-21 08:56), 1.1-3 (2002-05-20 14:51), 1.2-1 (2002-08-07 09:24), 1.3-1 (2003-03-24 12:27), 1.3-2 (2003-05-06 19:06), 1.3-3 (2003-10-14 17:55), 1.3-4 (2003-11-13 16:33), 1.4-3 (2004-02-03 10:22), 1.4-4 (2004-02-13 23:22), 1.4-5 (2004-03-26 08:51), 1.4-6 (2004-05-24 22:01), 1.5-1 (2004-06-17 13:50), 1.5-3 (2004-09-11 09:20), 1.5-4 (2004-09-25 11:09), 1.5-5 (2004-11-08 09:15), 1.5-6 (2004-11-16 09:54), 1.5-7 (2004-11-30 13:02), 1.5-8 (2005-01-25 11:04), 1.5-9 (2005-02-08 07:44), 1.5-10 (2005-02-21 09:25), 1.6-1 (2005-03-14 09:57), 1.6-2 (2005-03-30 13:37), 1.6-3 (2005-04-12 10:41), 1.6-4 (2005-04-19 10:17), 1.6-5 (2005-04-21 10:08), 1.6-6 (2005-05-10 10:03), 1.6-7 (2005-05-25 13:12), 1.6-8 (2005-06-14 09:42), 1.6-9 (2005-07-01 12:49), 1.6-11 (2005-07-28 14:51), 1.6-12 (2005-09-14 09:38), 1.7-11 (2005-07-28 15:54), 1.7-12 (2005-10-06 12:58), 1.7-13 (2005-10-27 19:07), 1.8-1 (2005-11-24 10:14), 1.8-2 (2005-12-05 12:58), 1.8-3 (2005-12-21 10:48), 1.8-4 (2006-01-09 13:01), 1.8-5 (2006-01-19 11:29), 1.8-6 (2006-02-23 19:08), 1.8-7 (2006-03-02 18:15), 1.8-8 (2006-04-21 09:44), 1.8-9 (2006-04-19 13:18), 1.9-0 (2006-05-03 09:43), 1.9-1 (2006-05-30 10:00), 1.9-2 (2006-06-06 16:10), 1.9-3 (2006-06-21 09:55), 1.9-4 (2006-08-03 12:35), 1.9-5 (2006-08-22 09:58), 1.9-6 (2006-09-29 13:16), 1.10-1 (2006-10-19 19:06), 1.10-2 (2006-11-09 11:14), 1.10-3 (2006-11-20 10:20), 1.11-0 (2007-01-12 09:29), 1.11-1 (2007-02-01 11:09), 1.11-2 (2007-03-12 11:18), 1.11-3 (2007-03-20 10:38), 1.11-4 (2007-04-16 22:02), 1.11-5 (2007-05-14 09:59), 1.11-6 (2007-05-18 13:12), 1.11-7 (2007-06-11 14:42), 1.11-8 (2007-07-28 18:50), 1.12-0 (2007-08-25 18:50), 1.12-1 (2007-09-28 11:22), 1.12-2 (2007-10-27 17:31), 1.12-3 (2007-11-03 19:43), 1.12-4 (2007-12-19 11:45), 1.12-5 (2008-01-10 16:35), 1.12-6 (2008-02-04 11:13), 1.12-7 (2008-02-11 21:26), 1.12-8 (2008-02-26 09:03), 1.12-9 (2008-03-21 20:27), 1.13-0 (2008-04-14 08:44), 1.13-1 (2008-04-24 11:07), 1.13-2 (2008-05-16 23:07), 1.13-3 (2008-06-23 09:55), 1.13-4 (2008-07-18 09:39), 1.14-0 (2008-07-28 08:19), 1.14-1 (2008-07-29 07:01), 1.14-2 (2008-09-08 17:59), 1.14-3 (2008-09-28 20:27), 1.14-4 (2008-10-16 18:53), 1.14-5 (2008-10-23 19:21), 1.14-6 (2008-11-07 09:42), 1.14-7 (2008-11-17 12:05), 1.14-8 (2008-12-10 09:37), 1.14-9 (2008-12-17 10:10), 1.14-10 (2009-02-03 21:05), 1.15-0 (2009-03-02 12:25), 1.15-1 (2009-04-01 13:44), 1.15-2 (2009-04-16 10:23), 1.15-3 (2009-05-14 08:58), 1.15-4 (2009-06-16 15:13), 1.16-0 (2009-07-02 15:38), 1.16-1 (2009-07-27 21:55), 1.16-2 (2009-08-23 17:42), 1.16-3 (2009-10-13 10:56), 1.17-0 (2009-10-22 20:40), 1.17-1 (2009-11-06 11:19), 1.17-2 (2009-11-10 11:16), 1.17-4 (2009-12-17 18:19), 1.17-5 (2010-01-06 13:13), 1.17-6 (2010-02-09 12:08), 1.18-0 (2010-03-10 11:21), 1.18-1 (2010-03-19 08:32), 1.18-2 (2010-04-10 08:35), 1.18-3 (2010-04-19 14:25), 1.18-4 (2010-05-02 09:05), 1.19-0 (2010-05-16 18:22), 1.19-1 (2010-05-25 19:10), 1.19-2 (2010-06-09 14:30), 1.19-3 (2010-06-17 11:17), 1.20-1 (2010-07-26 11:32), 1.20-2 (2010-08-10 16:18), 1.20-3 (2010-08-24 12:49), 1.20-5 (2010-10-25 12:42), 1.21-0 (2010-11-05 21:04), 1.21-1 (2010-11-11 14:11), 1.21-2 (2010-11-29 09:25), 1.21-3 (2011-01-17 09:13), 1.21-4 (2011-01-20 14:09), 1.21-5.1 (2011-03-21 16:00), 1.21-5 (2011-02-10 09:24), 1.21-6 (2011-03-26 16:46), 1.22-0 (2011-04-28 10:32), 1.22-1 (2011-05-19 12:07), 1.22-2 (2011-06-15 20:13), 1.22-3 (2011-06-17 10:37), 1.23-0 (2011-07-24 16:31), 1.23-1 (2011-08-01 12:38), 1.23-2 (2011-08-11 09:01), 1.23-3 (2011-08-12 16:33), 1.23-4 (2011-09-09 15:10), 1.23-5 (2011-09-23 14:20), 1.23-6 (2011-10-11 17:26), 1.24-1 (2011-10-23 17:42), 1.24-2 (2011-11-11 12:20), 1.25-0 (2011-12-06 08:01), 1.25-1 (2011-12-21 09:54), 1.25-2 (2012-01-19 21:43), 1.25-3 (2012-02-05 08:54), 1.25-4 (2012-02-29 14:07), 1.25-5 (2012-03-14 08:10), 1.26-0 (2012-04-08 07:34), 1.26-1 (2012-04-19 10:15), 1.27-0 (2012-05-16 14:45), 1.28-0 (2012-06-11 10:52), 1.28-1 (2012-06-29 12:24), 1.28-2 (2012-08-23 14:08), 1.29-0 (2012-10-14 12:48), 1.30-0 (2012-12-23 13:16), 1.31-0 (2013-01-17 07:33), 1.31-1.1 (2013-04-25 18:55), 1.31-1 (2013-03-01 12:29), 1.31-2 (2013-04-26 07:29), 1.31-3 (2013-05-27 07:55), 1.32-0 (2013-08-13 12:43), 1.33-0 (2013-09-05 11:41), 1.34-0 (2013-10-24 11:53), 1.34-1 (2013-11-03 10:35), 1.35-0 (2013-12-12 17:48), 1.36-0 (2014-02-18 08:45), 1.37-0 (2014-05-09 11:25), 1.38-0 (2014-08-15 17:40), 1.38-1 (2014-08-28 07:24), 1.39-0 (2014-10-23 08:44), 1.39-1 (2014-10-24 10:53), 1.40-0 (2014-12-31 10:18), 1.41-1 (2015-02-27 07:33), 1.42-0 (2015-06-01 07:47), 1.42-1 (2015-06-05 20:06), 1.42-2 (2015-06-29 07:39), 1.43-0 (2015-10-08 13:44), 1.44-0 (2015-12-23 06:10), 1.44-1 (2015-12-29 22:09), 1.45-0 (2016-03-10 17:56), 1.45-2 (2016-05-09 10:09), 1.46-1 (2016-07-08 17:24), 1.47-0 (2016-10-13 01:02), 1.48-0 (2016-12-22 10:54), 1.49-0 (2017-02-08 19:57), 1.50-0 (2017-03-23 14:38), 1.51-0 (2017-05-08 16:32), 1.52-1 (2017-08-16 11:02), 1.53-2 (2017-10-09 00:08), 1.54-0 (2017-11-21 09:41), 1.55-0 (2018-01-29 20:46), 1.55-1 (2018-04-05 14:35), 1.56-0 (2018-06-15 09:49), 1.56-1 (2018-08-01 17:51), 1.57-1 (2018-11-04 18:11), 1.58-2 (2019-01-10 17:31), 1.59-0 (2019-03-22 14:41), 1.60-1 (2019-06-23 16:41), 1.61-0 (2019-09-22 20:20), 1.62-2 (2019-12-10 12:50), 1.63-0 (2020-01-23 15:00), 1.63-2 (2020-02-23 18:40), 1.63-3 (2020-03-01 17:00), 1.64-1 (2020-05-12 19:11), 2.0-1 (2021-03-14 00:50), 2.1-0 (2021-04-03 12:40), 2.2-0 (2021-06-23 09:40), 2.3-0 (2021-12-12 11:40), 2.3-3 (2022-02-21 04:30), 2.3-4 (2022-04-01 10:30), 3.0-2 (2022-11-10 14:00), 3.0-3 (2023-01-28 14:40), 3.0-5 (2023-04-22 23:30), 3.0-6 (2023-05-17 09:40), 3.0-7 (2023-10-30 10:10), 3.0-8 (2024-03-26 16:20), 3.1-1 (2024-07-15 21:11), 3.2-1 (2024-09-22 06:20), 3.3-0 (2024-11-20 02:10), 3.3-1 (2025-01-23 17:40), 3.3-2 (2025-03-22 10:10), 3.3-3 (2025-05-24 08:00), 3.4-0 (2025-07-25 07:00), 3.4-1 (2025-09-28 12:50), 3.5-0 (2025-12-01 07:10), 3.5-1 (2026-02-01 07:10), 3.6-0 (2026-04-02 10:10)
Other packages that cited spatstat R package
View spatstat citation profile
Other R packages that spatstat depends,
imports, suggests or enhances
Complete documentation for spatstat
Functions, R codes and Examples using
the spatstat R package
Some associated functions: beginner . bugfixes . foo . latest.news . spatstat-internal . spatstat-package . spatstat.family .
Some associated R codes: First.R . beginner.R . bugtable.R . news.R . Full spatstat package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
VFS
Vegetated Filter Strip and Erosion Model
Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given sl ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sarah Goslee (view profile)
rt.test
Robustified t-Test
Performs one-sample t-test based on robustified statistics using median/MAD (TA) and Hodges-Lehmann/ ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Chanseok Park (view profile)
r2resize
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
VEwaningVariant
Vaccine Efficacy Over Time - Variant Aware
Implements methods for inference on potential waning of vaccine efficacy and for estimation of vacci ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Shannon T. Holloway (view profile)
FastKNN
Fast k-Nearest Neighbors
Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast wa ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gaston Besanson (view profile)
alabama
Constrained Nonlinear Optimization
Augmented Lagrangian Adaptive Barrier Minimization
Algorithm for optimizing smooth nonlinear object ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ravi Varadhan (view profile)
27,806
R Packages
239,283
Dependencies
73,837
Author Associations
27,807
Publication Badges
