Description Usage Arguments Value
Use stepwise regression to parameterize model
1 2 | step.model(data, imagerydate, value, modelvariables, timewindow, season,
stepdirection, print.on = TRUE)
|
data |
dataframe, formatted calibration data (model variables: field data and surface reflectance values) |
imagerydate |
string, name of column with dates of imagery |
value |
string, name of column with water quality values |
modelvariables |
vector of strings with the names of columns for bands to consider |
timewindow |
numeric, number of days to allow for near coincidence |
season |
vector, months to include in model |
stepdirection |
string, direction for stepwise regression ("backward","both","forward") |
print.on |
boolean, option to print the results of the model (default is TRUE) |
list with the stepwise model and the modeled values
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