Description Usage Arguments Value
This function allows to analyze webcam data from AMOS (http://amos.cse.wustl.edu/) with the uROI method in a fully automated way. Only the parameters of camera, year, month and hour of images to be analyzed have to be specified. Example code can be downloaded at http://bothmann.userweb.mwn.de/dissertation.html.
1 2 3 4 5 6 7 8 | amos_uroi_wrap(camera, year_analysis, months_analysis, hour_analysis,
do_mean_greenness = TRUE, do_strucchange = TRUE, testmode = FALSE,
only_download = FALSE, folder_results = getwd(),
name_of_analysis = substr(as.character(Sys.time()), 1, 10),
folder_data = getwd(), n_pc_vec = 12, k_vec = 4:10, nstart = 2,
save_results = TRUE, save_masks = TRUE, masks_type = ".jpg",
a_vec = seq(1, 150, by = 1), b_vec = seq(1, 100, by = 1), mask = NULL,
...)
|
camera |
Name of the camera (five-digit number, see http://amos.cse.wustl.edu/) |
year_analysis |
Year(s) to be analyzed as vector |
months_analysis |
Month(s) to be analyzed as vector |
hour_analysis |
Hour(s) to be analyzed as vector |
do_mean_greenness |
If |
do_strucchange |
If |
testmode |
If |
only_download |
If |
folder_results |
Folder where the results will be saved, default is the current working directory |
name_of_analysis |
Name of subfolder for the results of the analysis,
default is the date as |
folder_data |
Folder where the data will be saved, default is the current working directory |
n_pc_vec |
Vector of numbers of eigenimages |
k_vec |
Vector of numbers of clusters for k-means |
nstart |
Number of iterations k-means |
save_results |
If |
save_masks |
If |
masks_type |
File name extension of masks, default is |
a_vec |
Possible spring doys |
b_vec |
Possible autumn doys (counted backwards from 31.12.) |
mask |
Do not edit, masks will be loaded automatically |
... |
Further arguments |
As output, all resulting masks and percentage greenness time series
inside the masks are saved in subfolders of folder_results
.
Additionally, overlays of all masks of the best setting with a background
image and the background image itself are saved in folder_results
,
ordered with respect to optimality criterion OC2.
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