DOI: 10.5061/dryad.4tmpg4ffw
title: Example data for: FIESTA: A Forest Inventory Estimation and Analysis R package

description: This dataset is for examples in the Ecography Software Note, FIESTA: A
 Forest Inventory Estimation and Analysis R package, by Frescino, Tracey
 S.; Moisen, Gretchen G.; Patterson, Paul, L.; Toney, Chris; White, Grayson
 W. The examples demonstrate how to generate estimates of forest attributes
 using three different FIESTA modules: Green Book (GB), Model-Assisted
 (MA), and Small Area (SA). Included in the dataset are: a geospatial
 vector shapefile (.shp) of the Middle Bear-Logan Watershed area of
 interest (AOI); an R sf object (.rds) defining an ecological extent
 encompassing the AOI, Ecomap Section M331D (Cleland et al. 2007) ; a
 SQLite database (.db) including FIA plot data downloaded from FIA’s
 publicly available DataMart
 (https://apps.fs.usda.gov/fia/datamart/datamart.html) and subset to the
 M331D boundary; and five auxiliary spatially-explicit raster layers (.img)
 clipped to the M331D boundary.
description: This dataset includes data from several
 different sources (See table below). <strong>Attribute</strong> <strong>Description and Source</strong> <strong>Processing Steps</strong> Ecomap_M331D.rds Overthrust Mountains (M331D) Ecomap Section boundary (Cleland et al. 2007)[Downloaded:2019Oct30] ·  Appended Ecomap Province, Section, Subsection map_unit_symbols attributes ·  Converted to a simple feature ·  Transformed CRS from NAD83 longlat (EPSG:4269) to NAD83 Conus Albers (EPSG:5070) ·  Saved as R object FIApublicCur_M331D_20221208.db   Most current data from FIA's publicly available DataMart v2.0.1, last updated on November 14, 2022 (https://apps.fs.usda.gov/fia/datamart/datamart.html)[Downloaded:2022Dec8] ·   Use FIESTA function to download FIA data subset to M331D boundary FIESTA::spGetPlots(bnd = M331D, datsource = "datamart", eval = "custom", eval_opts = list(Cur = TRUE), istree = TRUE, returndata = FALSE, savedata = TRUE, savedata_opts = list(out_fmt = "sqlite", out_dsn = file.path("example_data", paste0("FIApublicCur_M331D2_", format(Sys.time(), "%Y%m%d"), ".db")))) WBDHU10_16010203_LittleBear.shp (*.CPG,*.dbf,*.prj, *.sbn,*.sbx,*.shp, *.shp.xml,*.shx) Middle Bear-Logan Watershed Boundary Dataset (WBD), hydrologic unit code (HUC) level 8 (16010203) , including HUC10 watersheds (https://www.usgs.gov/national-hydrography/watershed-boundary-dataset ) )[Downloaded:2022Dec7] ·   Subset HUC10 Watershed boundaries from WBDHU10 within HUC8 Watershed.   M331D_def_90m.img TOPOFIRE mean annual climatic water deficit - 30yr normals (1981-2010) (Holden et al. 2019) ·  Transformed CRS from NAD83 geographic (EPSG:4269) to NAD83 Albers Equal Area (EPSG:5070) ·  Resampled to 90 meters using NEAREST ·  Clipped to Ecomap M331D boundary ·  Saved as Erdas Imagine format (*.img) M331D_dem_90m.img LANDFIRE 2010 30-meter resolution DEM, elevation above mean sea level (in meters) (https://www.landfire.gov/elevation.php)[Downloaded:2013] ·  Resampled to 90 meters using NEAREST ·  Clipped to Ecomap M331D boundary ·  Saved as Erdas Imagine format (*.img) M331D_ppt_90m.img PRISM mean annual precipitation - 30yr normals (1991-2020) (mm*100) ( https://prism.oregonstate.edu)[Downloaded:12/05/2021] (Daly 2002) ·   Transformed CRS from NAD83 geographic (EPSG:4269) to NAD83 Albers Equal Area (EPSG:5070) ·   Resampled to 90 meters using NEAREST ·   Values multiplied by 100 ·   Clipped to Ecomap M331D boundary ·   Saved as Erdas Imagine format (*.img) M331D_tcc16_90m.img 2016 National Land Cover Dataset (NLCD), Analytical Tree Canopy Cover – Resampled to 90 meters (https://data.fs.usda.gov/geodata/rastergateway/treecanopycover) [Downloaded:04/06/2019] (Yang et al. 2018) ·  Resampled to 90m using average ·  Clipped to Ecomap M331D boundary ·  Saved as Erdas Imagine format (*.img) M331D_tnt_90m.img A tree/non-tree lifeform mask (https://www.landfire.gov/evt.php) ·   Recoded from LANDFIRE 2014 Existing Vegetation Type (EVT) ·   Resampled 90 meters based on majority value ·   Clipped to Ecomap M331D boundary ·   Saved as Erdas Imagine format (*.img) <strong>References:</strong> Cleland, D.T., Freeouf, J.A., Keys, J.E., Jr., Nowacki, G.J., Carpenter, C, McNab, W.H. 2007. Ecological Subregions: Sections and Subsections of the Conterminous United States [1:3,500,000] [CD-ROM]. Sloan, A.M., cartog. Gen. Tech. Report WO-76. Washington, DC: U.S. Department of Agriculture, Forest Service. Daly, C. 2002. Climate division normals derived from topographically-sensitive climate grids. 13th AMS Conf. on Applied Climatology, Portland, OR, May 13-16, 177-180 [Date accessed: 2021, Feb 11]. Holden Z.A., Jolly W.M., Swanson A., Warren D.A., Jencso K., Maneta M., Landguth E.L. 2019. TOPOFIRE: a topographically resolved wildfire danger and drought monitoring system for the conterminous United States Bull. Am. – Meteorol. Soc. <strong>100</strong>: 1607–13. R Core Team. 2023. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Yang, L., et al. 2018. A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies. ISPRS J. Photogramm. Remote Sens. <strong>146</strong>: 108-123.
description: All data can be accessed and opened
 using the R software (R Core Team 2023).