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231 to 240 of 5 012 Results
Comma Separated Values - 26,5 MB - MD5: 5b4fd6d6ef0845f0ddef138b290fff50
Data
The 500 replicates of t0 estimates used in the analyses presented in the article, and the associated lc values estimated with Siland.
R Syntax - 16,5 KB - MD5: 04313d70dd47569246569fa98331fb20
Code
From one replicate of the dataset, this script presents the main steps in using of GPboost in the article (i.e. tuning the hyperparameters, training the model and prediction).
Gzip Archive - 180 B - MD5: 716b2584366c138c086aab8c89e486c4
The grid of gpboost hyperparameter values (learning rate, minimum data in leaf, maximum depth) used during the hyperparameter tuning step.
Comma Separated Values - 13,0 KB - MD5: 77b5028a9e3ee52775a1b8fece8038b7
Data
Input data for t0 estimation, i.e. one file per year containing the mean abundance values of B. dorsalis per week for each orchard (average of captures per week and orchard).
Comma Separated Values - 14,7 KB - MD5: d7df444a7be63e0896ae99c777e6d60c
Data
Input data for t0 estimation, i.e. one file per year containing the mean abundance values of B. dorsalis per week for each orchard (average of captures per week and orchard).
Comma Separated Values - 13,5 KB - MD5: 0d4f7fb1767b3b9d4735aadb5fe7a935
Data
Input data for t0 estimation, i.e. one file per year containing the mean abundance values of B. dorsalis per week for each orchard (average of captures per week and orchard).
R Syntax - 9,1 KB - MD5: de1e48610199323bf1db26158daa99bf
Code
This script allows to estimate the landscape influence on a replicate of t0 estimates of the land use categories from the land use map.
Plain Text - 279 B - MD5: e561562259520908180429227682725f
Data
Values of the Siland parameters (init, wd, maxD) used in the article (selected with a parameter tuning step not presented here but described in the article).
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