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3,771 to 3,780 of 8,524 Results
Mar 3, 2021 - Equipe DIAL
Mesple-Somps, Sandrine; Spielvogel, Gilles; Doumbia Gakou, Assa; Sougane, Arouna; Delesalle, Esther; Gubert, Flore, 2021, "Replication data for: Migration response to drought in Mali", https://doi.org/10.23708/NREDA5, DataSuds, V1, UNF:6:eaEqZIjh+MLbdtt1gaeEVQ== [fileUNF]
The project consists in combining population census data and climate data to estimate the volume of migrations induced by the drought events that have hit Mali since the late 1980s (A WP describing the research objectives, related literature, methodology and main results can be f...
Tabular Data - 5.7 KB - 4 Variables, 60 Observations - UNF:6:b/feCJ40t/JuM3LiggT/bw==
Documentation
Description of all variables contained in file MigrationDroughtMali_Datafile1
Tabular Data - 4.9 MB - 60 Variables, 20260 Observations - UNF:6:15i0nOxB3AWdGS9hEfXQ9g==
DataGeospatial
Contains all the variables used in regressions on net migration rates
Tabular Data - 5.1 KB - 4 Variables, 36 Observations - UNF:6:CiuXd7zT3TpGrR562s48RA==
Documentation
Description of all variables contained in file MigrationDroughtMali_Datafile2
Tabular Data - 13.2 MB - 36 Variables, 59220 Observations - UNF:6:2yWqqphRS8t2WfFn+BuAFg==
Data
Contains all the variables used in regressions on international emigration rates
Mar 3, 2021 - UMR Entropie
ETIENNE, Marie-Pierre, 2020, "Supplementary material - Methodological brief (including R code and data) for performing random forest and speed-based analysis of GPS boat tracking data", https://doi.org/10.23708/IBZJGD, DataSuds, V3
This PDF document and associated Rdata describe the R code used to process GPS track data through random forest and speed threshold using a case study of a small-scale reef fishery in southwestern Madagascar. Only gillnet use was included as an example. Ce document PDF (et donnée...
Adobe PDF - 1.2 MB - MD5: 66207b93e4cd7478cb290c59948b9f03
Methodological brief or performing the random forest model and the speed threshold method
R Syntax - 1.8 KB - MD5: b9d19bf2aeb6dc04373a4fbe332aaf90
R code of function used to perform the cross-validation procedure of the random forest algorithm
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