A data set containing environmental conditions of background points
Format
A tibble object with 5000 rows and 10 variables:
- pr_ab
background point denoted by 0
- x y
columns with geographical coordinates
- from column aet to landform
columns with values of environmental variables at coordinate locations
...
Examples
# \donttest{
require(dplyr)
data("backg")
backg
#> # A tibble: 5,000 × 13
#> pr_ab x y aet cwd tmin ppt_djf ppt_jja pH awc depth
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0 160779. -449968. 280. 1137. 13.5 71.3 1.19 0 0 0
#> 2 0 36849. 24152. 260. 382. -3.17 171. 17.5 0.212 0.00347 201
#> 3 0 -240171. 90032. 400. 700. 8.68 285. 5.02 5.72 0.0804 50.1
#> 4 0 -152421. -143518. 367. 843. 9.01 72.0 1.20 7.54 0.170 154.
#> 5 0 -193191. 24152. 397. 842. 8.97 125. 1.98 6.20 0.131 122.
#> 6 0 -277971. 223682. 385. 637. 4.93 226. 8.16 5.81 0.0512 56.2
#> 7 0 -313341. 270122. 582. 406. 6.29 334. 18.4 5.80 0.168 201
#> 8 0 54399. -15538. 346. 195. -5.22 142. 13.0 5.60 0.120 201
#> 9 0 282549. -582268. 285. 1097. 11.4 56.3 1.39 6.57 0.135 68.4
#> 10 0 104079. -178618. 385. 871. 6.76 147. 7.80 6.10 0.0300 41
#> # ℹ 4,990 more rows
#> # ℹ 2 more variables: percent_clay <dbl>, landform <fct>
# }