correct_env_data: Internal function that prepares downloaded NEON data for flux...
In jmzobitz/NEONSoils: Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites
View source: R/correct_env_data.R
correct_env_data R Documentation
Internal function that prepares downloaded NEON data for flux processing
Description
This file takes data frame from acquire_neon_data and:
1) Takes the needed components (QF and measurement flags) for soil water, temperature, co2, binding them together in a tidy data frame
2) Interpolates across the measurements
3) Merges air pressure data into this data frame
Usage
correct_env_data(input_data)
Arguments
input_data
Required. Nested data frame from acquire_neon_data.
Value
List of all QF flags over time period and Data frame of environmental measurements for flux computation
Author(s)
John Zobitz zobitz@augsburg.edu
Examples
# Note: you may need to first aqcuire the NEON data using acquire_neon_data
# Now correct existing environmental data:
corrected_data <- correct_env_data(sjer_env_data_2022_06)
jmzobitz/NEONSoils documentation built on May 31, 2024, 12:20 p.m.
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View source: R/correct_env_data.R
| correct_env_data | R Documentation |
Internal function that prepares downloaded NEON data for flux processing
Description
This file takes data frame from acquire_neon_data and: 1) Takes the needed components (QF and measurement flags) for soil water, temperature, co2, binding them together in a tidy data frame 2) Interpolates across the measurements 3) Merges air pressure data into this data frame
Usage
correct_env_data(input_data)
Arguments
input_data |
Required. Nested data frame from acquire_neon_data. |
Value
List of all QF flags over time period and Data frame of environmental measurements for flux computation
Author(s)
John Zobitz zobitz@augsburg.edu
Examples
# Note: you may need to first aqcuire the NEON data using acquire_neon_data
# Now correct existing environmental data:
corrected_data <- correct_env_data(sjer_env_data_2022_06)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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