TY - JOUR
T1 - burnr
T2 - Fire history analysis and graphics in R
AU - Malevich, Steven B.
AU - Guiterman, Christopher H.
AU - Margolis, Ellis Q.
N1 - Funding Information:
Development of burnr was initiated with support from the Central Oregon Fire Management Service (Deschutes and Ochoco National Forests, Crooked River National Grassland, and Prineville District Bureau of Land Management), Emily Heyerdahl (US Forest Service) and Don Falk (University of Arizona). The authors were supported by an EPA STAR Fellowship (to C.H.G.) and by the U.S. Geological Survey Western Mountains Initiative. Comments and discussion with T.W. Swetnam, C.H. Baisan, C.D. Allen, L.B. Johnson, and P. Brewer improved burnr . We thank the many early users and beta testers that helped us to develop and refine this software. This manuscript benefited from the thoughtful feedback of L. D. Daniels, L. B. Johnson, J. Powell and an anonymous reviewer. Background map tiles in Fig. 3 a are available from Stamen Design ( http://stamen.com ) under a Creative Commons Attribution 3.0 license. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Publisher Copyright:
© 2018 Elsevier GmbH
PY - 2018/6
Y1 - 2018/6
N2 - 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.
AB - 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.
KW - Event
KW - Fire ecology
KW - SEA
KW - Statistical software
KW - Tree ring
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85042940075&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042940075&partnerID=8YFLogxK
U2 - 10.1016/j.dendro.2018.02.005
DO - 10.1016/j.dendro.2018.02.005
M3 - Article
AN - SCOPUS:85042940075
VL - 49
SP - 9
EP - 15
JO - Dendrochronologia
JF - Dendrochronologia
SN - 1125-7865
ER -