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burnr: Fire history analysis and graphics in R
Affiliation:1. Department of Geosciences, University of Arizona, 1040 E. 4th Street, Tucson, AZ 85721, USA;2. Laboratory of Tree-Ring Research, University of Arizona, 1215 E. Lowell Street, Tucson, AZ 85721, USA;3. US Geological Survey, Fort Collins Science Center, New Mexico Landscapes Field Station, Santa Fe, NM 87508, USA;1. US Environmental Protection Agency, 200 SW 35th Street, Corvallis, OR 97333, United States;2. Oregon State University, Department of Statistics, Corvallis, OR 97331, United States;1. Slovenian Forestry Institute, Department of Forest Yield and Silviculture, Večna pot 2, 1000, Ljubljana, Slovenia;2. Jožef Stefan Institute, Department of Knowledge Technologies, Jamova cesta 39, 1000, Ljubljana, Slovenia;3. Jožef Stefan International Postgraduate School, Jamova cesta 39, 1000, Ljubljana, Slovenia;1. Instituto Pirenaico de Ecología (IPE-CSIC), 50192 Zaragoza, Spain;2. Department of Geography, Complutense University of Madrid, 28040 Madrid, Spain;3. IE School of International Relations, 28006 Madrid, Spain;4. Archaeobiology Group, Institute of History (CCHS-CSIC), 28037 Madrid, Spain;1. Professorship for Land Surface-Atmosphere Interactions, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany;2. Biological and Environmental Sciences, University of Stirling, FK9 4LA Scotland, UK;3. Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, Scotland, UK;1. Forest Resources Management, University of Liège, Gembloux Agro-Bio Tech, Passage des Déportés 2, 5030 Gembloux, Belgium;2. Service of Wood Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, 3080 Tervuren, Belgium
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.
Keywords:Fire ecology  Statistical software  Event  Visualization  Tree ring  SEA
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