-
Spatial Statistics
-
1 Introduction
-
2 Field data collection for point pattern anlysis
-
3 The tempo and mode of gopher mound production in a tallgrass prairie remnant
-
4 Hierarchical mechanisms of spatially contagious seed dispersal in complex seed-disperser networks
-
5 Statistical Background
-
Breadcrumb Navigation
Conclusions of the pattern of disturbances Introduction
Fig. 1: Logo R programming language. Source: Hadley Wickham and others at RStudio (https://www.r-project.org/logo/)
Here we show you how to redo the analysis presented in the videos by Jose Fedriani using the R programming language (R Core Team, 2019). To install R, go to https://cran.r-project.org/. Additionally, we suggest to use the graphical user interface Rstudio (RStudio Team, 2018), which provides many helpful features. The download RStudio, go to https://www.rstudio.com/.
Fig. 2: Screenshot GUI RStudio
Because this is not a general introduction to the R programming language, we assume that you already have basic knowledge about it. If not, one big advantage of R is that you can find an enormous amount of tutorial and resources about it (e.g. Grolemund, 2014; Venables et al., 2019; Wickham and Grolemund, 2016).
References
- Grolemund, G., 2014. Hands-On Programming with R, 1st ed. O’Reilly, Newton (USA).
- R Core Team, 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna (Austria).
- RStudio Team, 2018. RStudio: Integrated Development Environment for R. RStudio, Inc., Boston.
- Venables, W.N., Smith, D.M., R Core Team, 2019. An Introduction to R. Notes on R: A Programming Environment for Data Analysis and Graphics. Version 3.6.1.
- Wickham, H., Grolemund, G., 2016. R for Data Science, 1st ed. O’Reilly, Newton (USA).