کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
507339 865116 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
paleofire: An R package to analyse sedimentary charcoal records from the Global Charcoal Database to reconstruct past biomass burning
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
paleofire: An R package to analyse sedimentary charcoal records from the Global Charcoal Database to reconstruct past biomass burning
چکیده انگلیسی


• We present the open source paleofire R package for analysis of sedimentary charcoal series.
• The package is used to analyse charcoal records from the Global Charcoal Database.
• The functions eases the steps for interrogating data contained within the GCD.
• Analyses included charcoal series transformation (homogenization) and synthesis.
• We describe paleofire by producing a regional synthesis of biomass burning in NE America.

We describe a new R package, paleofire, for analysis and synthesis of charcoal time series, such as those contained in the Global Charcoal Database (GCD), that are used to reconstruct paleofire activity (past biomass burning). paleofire is an initiative of the Global Paleofire Working Group core team (www.gpwg.org), whose aim is to encourage the use of sedimentary charcoal series to develop regional-to-global syntheses of paleofire activity, and to enhance access to the GCD data by providing a common research framework. Currently, paleofire features are organized into three different parts related to (i) site selection and charcoal series extraction from the GCD; (ii) charcoal data transformation; and (iii) charcoal series compositing and synthesis. We provide a technical description of paleofire and describe some new implementations such as the circular block bootstrap procedure. We tested the software using GCDv3 data from eastern North America, and provide examples of interpreting results of regional and global syntheses.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 72, November 2014, Pages 255–261
نویسندگان
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