csv_batch_parallel: Parallel Generate CSV Training Files
In Tomhigg/fracCover: Generate and Validate Fractional Coverage products using Landsat/MODIS
Description
Preforms a parallel batch implementation of the csv_create function, allowing multiple high-res images to to processed into training files
at the same time.
Usage
1
csv_batch_parallel(no_cores, list, predImage, fromVals, toVals, numSamps)
Arguments
no_cores
number of cores to implement parallel on
list
A list of paths to the classified high-resolution imagery (use list.files)
fromVals
vector of the values in classified image
toVals
vector which values will be changes too
numSamps
Number of samples to select from each images
inPredImage
Name and path for the input image that will be used for predictions (Landsat/MODIS)
Tomhigg/fracCover documentation built on May 9, 2019, 5:11 p.m.
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Description
Preforms a parallel batch implementation of the csv_create function, allowing multiple high-res images to to processed into training files at the same time.
Usage
1 | csv_batch_parallel(no_cores, list, predImage, fromVals, toVals, numSamps)
|
Arguments
no_cores |
number of cores to implement parallel on |
list |
A list of paths to the classified high-resolution imagery (use list.files) |
fromVals |
vector of the values in classified image |
toVals |
vector which values will be changes too |
numSamps |
Number of samples to select from each images |
inPredImage |
Name and path for the input image that will be used for predictions (Landsat/MODIS) |
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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