Slopes of linear fit for each flux with a 30 seconds cut at the end of each flux.
Format
A tibble with 1251 rows and 19 variables
- datetime
Datetime at which CO2 concentration was recorded.
- temp_air
Air temperature inside the flux chamber in Celsius.
- temp_soil
Ground temperature inside the flux chamber in Celsius.
- conc
CO2 concentration in ppm.
- PAR
Photosynthetically active radiation inside the chamber in micromol/s/sqm.
- turfID
Unique ID of the turf in which the measurement took place.
- type
Type of measurement: ecosystems respiration (ER) or net ecosystem exchange (NEE).
- f_start
Datetime at which the measurement was started.
- f_end
Datetime at which the measurement ended.
- f_fluxid
Unique ID for each flux.
- f_flag_match
Flags from flux_match.
- f_time
Time variable of the flux in seconds.
- f_cut
Indicating if the measurement should be kept (keep) or discarded (cut).
- f_pvalue
P-value of the linear model of CO2 concentration over time.
- f_rsquared
R squared of the linear model of CO2 concentration over time.
- f_adj_rsquared
Adjusted R squared of the linear model of CO2 concentration over time.
- f_intercept
Intercept of the linear model of CO2 concentration over time.
- f_slope
Slope of the linear model of CO2 concentration over time.
- f_fit
Output of the linear model of CO2 concentration over time.
Examples
slopes30lin
#> # A tibble: 1,251 × 19
#> datetime temp_air temp_soil conc PAR turfID type
#> <dttm> <dbl> <dbl> <dbl> <dbl> <fct> <fct>
#> 1 2022-07-28 23:43:35 NA NA 447. NA 156 AN2C 156 ER
#> 2 2022-07-28 23:43:36 7.22 10.9 447. 1.68 156 AN2C 156 ER
#> 3 2022-07-28 23:43:37 NA NA 448. NA 156 AN2C 156 ER
#> 4 2022-07-28 23:43:38 NA NA 449. NA 156 AN2C 156 ER
#> 5 2022-07-28 23:43:39 NA NA 449. NA 156 AN2C 156 ER
#> 6 2022-07-28 23:43:40 NA NA 450. NA 156 AN2C 156 ER
#> 7 2022-07-28 23:43:41 NA NA 451. NA 156 AN2C 156 ER
#> 8 2022-07-28 23:43:42 NA NA 451. NA 156 AN2C 156 ER
#> 9 2022-07-28 23:43:43 NA NA 453. NA 156 AN2C 156 ER
#> 10 2022-07-28 23:43:44 NA NA 453. NA 156 AN2C 156 ER
#> # ℹ 1,241 more rows
#> # ℹ 12 more variables: f_start <dttm>, f_end <dttm>, f_fluxid <fct>,
#> # f_flag_match <chr>, f_time <dbl>, f_cut <fct>, f_pvalue <dbl>,
#> # f_rsquared <dbl>, f_adj_rsquared <dbl>, f_intercept <dbl>, f_slope <dbl>,
#> # f_fit <dbl>