flux_quality | R Documentation |
Indicates if the slopes provided by flux_fitting should be discarded or replaced by 0 according to quality thresholds set by user
flux_quality(
slopes_df,
f_conc = f_conc,
f_fluxid = f_fluxid,
f_slope = f_slope,
f_time = f_time,
f_start = f_start,
f_end = f_end,
f_fit = f_fit,
f_cut = f_cut,
f_pvalue = f_pvalue,
f_rsquared = f_rsquared,
f_slope_lm = f_slope_lm,
f_fit_lm = f_fit_lm,
f_b = f_b,
force_discard = c(),
force_ok = c(),
force_zero = c(),
force_lm = c(),
force_exp = c(),
ratio_threshold = 0.5,
gfactor_threshold = 10,
fit_type = c(),
ambient_conc = 421,
error = 100,
pvalue_threshold = 0.3,
rsquared_threshold = 0.7,
rmse_threshold = 25,
cor_threshold = 0.5,
b_threshold = 1,
cut_arg = "cut",
instr_error = 5,
kappamax = FALSE
)
slopes_df |
dataset containing slopes |
f_conc |
column containing the measured gas concentration (exponential fits) |
f_fluxid |
column containing unique IDs for each flux |
f_slope |
column containing the slope of each flux (as calculated by the flux_fitting function) |
f_time |
column containing the time of each measurement in seconds (exponential fits) |
f_start |
column with datetime of the start of the measurement (after cuts) |
f_end |
column with datetime of the end of the measurement (after cuts) |
f_fit |
column containing the modeled data (exponential fits) |
f_cut |
column containing the cutting information |
f_pvalue |
column containing the p-value of each flux (linear and quadratic fits) |
f_rsquared |
column containing the r squared of each flux (linear and quadratic fits) |
f_slope_lm |
column containing the linear slope of each flux (as calculated by the flux_fitting function) |
f_fit_lm |
column with the fit of the linear model. (as calculated by the flux_fitting function) |
f_b |
column containing the b parameter of the exponential expression (exponential fits) |
force_discard |
vector of fluxIDs that should be discarded by the user's decision |
force_ok |
vector of fluxIDs for which the user wants to keep the calculated slope despite a bad quality flag |
force_zero |
vector of fluxIDs that should be replaced by zero by the user's decision |
force_lm |
vector of fluxIDs for which the linear slope should be used by the user's decision |
force_exp |
vector of fluxIDs for which the exponential slope should be used by the user's decision (kappamax method) |
ratio_threshold |
ratio of gas concentration data points over length of measurement (in seconds) below which the measurement will be considered as not having enough data points to be considered for calculations |
gfactor_threshold |
threshold for the g-factor. Defines a window
with its opposite outside which the flux will be flagged |
fit_type |
model fitted to the data, linear, quadratic or exponential.
Will be automatically filled if |
ambient_conc |
ambient gas concentration in ppm at the site of measurement (used to detect measurement that started with a polluted setup) |
error |
error of the setup, defines a window outside of which the starting values indicate a polluted setup |
pvalue_threshold |
threshold of p-value below which the change of gas concentration over time is considered not significant (linear and quadratic fits) |
rsquared_threshold |
threshold of r squared value below which the linear model is considered an unsatisfactory fit (linear and quadratic fits) |
rmse_threshold |
threshold for the RMSE of each flux above which the fit is considered unsatisfactory (exponential fits) |
cor_threshold |
threshold for the correlation coefficient of gas concentration with time below which the correlation is considered not significant (exponential fits) |
b_threshold |
threshold for the b parameter. Defines a window with its opposite inside which the fit is considered good enough (exponential fits) |
cut_arg |
argument defining that the data point should be cut out |
instr_error |
error of the instrument, in the same unit as the gas concentration |
kappamax |
logical. If |
the kappamax method (Hüppi et al., 2018) selects the linear slope if |b| > kappamax, with kappamax = |f_slope_lm / instr_error|. The original kappamax method was applied to the HMR model (Pedersen et al., 2010; Hutchinson and Mosier, 1981), but here it can be applied to any exponential fit.
a dataframe with added columns of quality flags (f_quality_flag
),
the slope corrected according to the quality flags (f_slope_corr
),
and any columns present in the input.
It will also print a summary of the quality flags. This summary can also
be exported as a dataframe using
flux_flag_count
Pedersen, A.R., Petersen, S.O., Schelde, K., 2010. A comprehensive approach to soil-atmosphere trace-gas flux estimation with static chambers. European Journal of Soil Science 61, 888–902. https://doi.org/10.1111/j.1365-2389.2010.01291.x
Hüppi, R., Felber, R., Krauss, M., Six, J., Leifeld, J., Fuß, R., 2018. Restricting the nonlinearity parameter in soil greenhouse gas flux calculation for more reliable flux estimates. PLOS ONE 13, e0200876. https://doi.org/10.1371/journal.pone.0200876
Hutchinson, G.L., Mosier, A.R., 1981. Improved Soil Cover Method for Field Measurement of Nitrous Oxide Fluxes. Soil Science Society of America Journal 45, 311–316.
data(co2_conc)
slopes <- flux_fitting(co2_conc, conc, datetime, fit_type = "exp_zhao18")
flux_quality(slopes, conc)
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