apply.mod.seasonal: apply.mod.seasonal
In RSAlgaeR: Builds Empirical Remote Sensing Models of Water Quality Variables and Analyzes Long-Term Trends
Description
Usage
Arguments
Value
Examples
View source: R/apply.mod.seasonal.R
Description
Apply GLM to remotely sensed record
Usage
1
apply.mod.seasonal(df, datecol, model, season, threshold)
Arguments
df
dataframe with reflectance values
datecol
string, name of column with imagery dates
model
calibrated GLM
season
vector of months to include in the season
threshold
numeric value above which is considered unreasonable/noise
Value
dataframe of predicted values and confidence intervals
Examples
1
2
3
4
data(srdataforapplication)
data(utahsummermod)
estdata <- apply.mod.seasonal(df=srdataforapplication,
datecol="ImageDate",model=utahsummermod,season=c("July","August","September"),threshold=500)
RSAlgaeR documentation built on May 2, 2019, 3:48 p.m.
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Description Usage Arguments Value Examples
View source: R/apply.mod.seasonal.R
Description
Apply GLM to remotely sensed record
Usage
1 | apply.mod.seasonal(df, datecol, model, season, threshold)
|
Arguments
df |
dataframe with reflectance values |
datecol |
string, name of column with imagery dates |
model |
calibrated GLM |
season |
vector of months to include in the season |
threshold |
numeric value above which is considered unreasonable/noise |
Value
dataframe of predicted values and confidence intervals
Examples
1 2 3 4 | data(srdataforapplication)
data(utahsummermod)
estdata <- apply.mod.seasonal(df=srdataforapplication,
datecol="ImageDate",model=utahsummermod,season=c("July","August","September"),threshold=500)
|
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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