burnr: Fire history analysis and graphics in R

Steven B. Malevich, Christopher H. Guiterman, Ellis Q. Margolis

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

We developed a new software package, burnr, for fire history analysis and plotting in the R statistical programming environment. It was developed for tree-ring fire-scar analysis, but is broadly applicable to other event analyses (e.g., avalanches, frost rings, or culturally modified trees). Our new package can read, write, and manipulate standard tree-ring fire history FHX files, produce fire—demography charts, calculate fire frequency and seasonality statistics, and run superposed epoch analysis (SEA). A key benefit of burnr is that it enables automation of analyses and plotting, especially for large data sets. The package also facilitates creative plotting, mapping, and analyses when combined with the thousands of packages available in R. In this paper, we describe the basic functionality of burnr and introduce users to fire history analyses in R.

Original languageEnglish (US)
Pages (from-to)9-15
Number of pages7
JournalDendrochronologia
Volume49
DOIs
StatePublished - Jun 2018

Keywords

  • Event
  • Fire ecology
  • SEA
  • Statistical software
  • Tree ring
  • Visualization

ASJC Scopus subject areas

  • Ecology
  • Plant Science

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