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Harvard Forest

Data Archive

HF135

Canopy Sky Factors in CRUI Land Use Project at Harvard Forest 1998

Related Publications

Data

Overview

Detailed Metadata

hf135-01: canopy sky factors

  1. category: level of pooling
    • All Sites: all 6 sites combined
    • By Legacy: plow vs. pasture vs. woodlot, with data averaged across the two replicates of each legacy
    • By Site: by individual site
  2. sky.factor: sky factor
    • ISF: indirect sky factor
    • DSF: direct sky factor
    • GSF: global sky factor (ISF+DSF)
    • DSF/GSF: ratio of direct and global sky factors
  3. legacy.site: for legacy or site comparisons
    • P: plow
    • S: pasture
    • W: woodlot
    • P1: plow replicate 1
    • P2: plow replicate 2
    • S1: pasture replicate 1
    • S2: pasture replicate 2
    • W1: woodlot replicate 1
    • W2: woodlot replicate 2
  4. n: sample size, number of hemispherical photos analyzed for all sites combined, per legacy and per site (unit: number / missing value: NA)
  5. mean: mean for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  6. std.dev: standard deviation for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  7. std.error: standard error for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  8. range: range for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  9. max: maximum for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  10. min: minimum for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  11. median: median for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  12. ci.25: 25% CI for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)
  13. ci.75: 75% CI for photos analyzed across all sites, per legacy, and per site (unit: number / missing value: NA)