---
title: "stpp Documentation"
subtitle: "Space-Time Point Pattern Simulation, Visualisation and Analysis"
author: "Edith Gabriel, Peter J Diggle, Barry Rowlingson and Francisco J Rodriguez-Cortes"
copyright: "Edith Gabriel"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{stpp Documentation}
  %\VignetteEngine{knitr::rmarkdown}
  \usepackage[utf8]{inputenc}
---

Many of the models encountered in applications of point process methods to the study of spatio-temporal phenomena are covered in 'stpp'. This package provides statistical tools for analyzing the global and local second-order properties of spatio-temporal point processes, including estimators of the space-time inhomogeneous K-function and pair correlation function among others. It also includes tools to get static and dynamic display of spatio-temporal point patterns.

### References

- [Baddeley, A., Rubak, E., Turner, R. (2015). Spatial Point Patterns: Methodology and Applications with R. CRC Press, Boca Raton.](https://www.routledge.com/Spatial-Point-Patterns-Methodology-and-Applications-with-R/Baddeley-Rubak-Turner/p/book/9781482210200/)
 
- [Chan, G. and Wood A. (1997). An algorithm for simulating stationary Gaussian random fields. *Applied Statistics, Algorithm Section*, **46**, 171–181.](https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/1467-9876.00057)

- [Chan, G. and Wood A. (1999). Simulation of stationary Gaussian vector fields. *Statistics and Computing*, **9**, 265–268.](https://link.springer.com/article/10.1023/A:1008903804954)

- [Diggle P. , Chedwynd A., Haggkvist R. and Morris S. (1995). Second-order analysis of space-time clustering. *Statistical Methods in Medical Research*, **4**, 124–136.](https://journals.sagepub.com/doi/abs/10.1177/096228029500400203/)

- [Diggle, P.J., 2013. Statistical Analysis of Spatial and Spatio-Temporal Point Patterns. CRC Press, Boca Raton.](https://www.routledge.com/Statistical-Analysis-of-Spatial-and-Spatio-Temporal-Point-Patterns-Third/Diggle/p/book/9781466560239/)

- [Gabriel E., Rowlingson B., Diggle P. (2013). stpp: an R package for plotting, simulating and analyzing Spatio-Temporal Point Patterns. *Journal of Statistical Software*, **53**(2), 1-29.](https://www.jstatsoft.org/article/view/v053i02/)

- [Gabriel E., Diggle P. (2009). Second-order analysis of inhomogeneous spatio-temporal point process data. *Statistica Neerlandica*, *63*, 43–51.](https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-9574.2008.00407.x)

- [Gabriel E. (2014). Estimating second-order characteristics of inhomogeneous spatio-temporal point processes: influence ofedge correction methods and intensity estimates. *Methodology and computing in Applied Probabillity*, **16**(2), 411–431.](https://link.springer.com/article/10.1007/s11009-013-9358-3)

- [Gneiting T. (2002). Nonseparable, stationary covariance functions for space-time data. *Journal of the American Statistical Association*, **97**, 590–600.](https://www.tandfonline.com/doi/abs/10.1198/016214502760047113)

- [Gonzalez, J. A., Rodriguez-Cortes, F. J., Cronie, O. and Mateu, J. (2016). Spatio-temporal point process statistics: a review. *Spatial Statiscts*, **18**, 505–544.](https://www.sciencedirect.com/science/article/pii/S2211675316301130/)

- [Siino, M., Rodriguez-Cortes, F. J., Mateu, J. and Adelfio, G. (2017). Testing for local structure in spatio-temporal point pattern data. *Environmetrics*. DOI: 10.1002/env.2463.](https://onlinelibrary.wiley.com/doi/abs/10.1002/env.2463)

- [Stoyan, D., Rodriguez-Cortes, F. J., Mateu, J., and Gille, W. (2017). Mark variograms for spatio-temporal point processes. *Spatial Statistics*. **20**, 125-147.](https://www.sciencedirect.com/science/article/pii/S2211675317300696/)