Accompanying data and R scripts: Mapping the spatial distribution and geographic shift of East African highland banana (Musa sp.) cropping systems in Uganda
Datacite citation style:
Dennis Ochola; Bastiaen Boekelo; Gerrie van de Ven; Godfrey Taulya; Jerome Kubiriba et. al. (2021): Accompanying data and R scripts: Mapping the spatial distribution and geographic shift of East African highland banana (Musa sp.) cropping systems in Uganda. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16908469.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2021-11-03 (latest)
version 1 - 2021-11-02
usage stats
2030
views
2247
downloads
geolocation
Uganda
lat (N): 32.2903° E
lon (E): 1.3733° N
time coverage
1958 & 2016
licence
CC BY 4.0
The following repository contains the underlying data and R scripts used for developing the manuscript submitted for publication:
"Mapping the spatial distribution and geographic shift of East African highland banana (Musa sp.) cropping systems in Uganda"
For reproducibility most of the analyses and outputs for the manuscript were performed in the R environment (R v4.0.5 and RStudio v1.4.1103). Users of the attached R scripts should note however that the code chunks are Mac or Linux specific, which should be accordingly adapted for use with Windows.
"Mapping the spatial distribution and geographic shift of East African highland banana (Musa sp.) cropping systems in Uganda"
For reproducibility most of the analyses and outputs for the manuscript were performed in the R environment (R v4.0.5 and RStudio v1.4.1103). Users of the attached R scripts should note however that the code chunks are Mac or Linux specific, which should be accordingly adapted for use with Windows.
history
- 2021-11-02 first online, published, posted
publisher
4TU.ResearchData
format
Zipped – vector and raster files
R scripts
funding
- The study was conducted within the framework of the project “Improving Scalable Banana Agronomy for Small Scale Farmers in Highland Banana Cropping Systems in East Africa” led by the National Banana Research Program (NBRP) of the National Agricultural Research Organization (NARO) with financial support from the Bill & Melinda Gates Foundation (BMGF). Grant ID: OPP1134098.
organizations
Plant Production Systems Group, Wageningen University & Research (WUR), Wageningen, The NetherlandsBanana Agronomy Unit, International Institute of Tropical Agriculture (IITA), Kampala, Uganda
National Banana Research Program, National Agricultural Research Laboratories (NaRL), Kawanda, Uganda
DATA
files (16)
- 16,931 bytesMD5:
d4477051cd10ac99860f73fee2262046
README.docx - 406,699 bytesMD5:
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AEZs.zip - 2,351 bytesMD5:
7558dde887be0d4ee863da0cc673927a
Ban5kmap1958.zip - 1,933 bytesMD5:
2dc3272b66d29227007af16ed15c2d06
Ban5kmap2016.zip - 142,346 bytesMD5:
71cb1be0545c158fe6a51684d09384d7
Filtered Geosurvey.zip - 63,794 bytesMD5:
7be4d2554bac6399f8256d82bc10c30f
Raster WGS84.zip - 2,488,830,014 bytesMD5:
587563a3d49cc3a9e7d50cf505c76f22
Rasters.zip - 4,905 bytesMD5:
340dc477b2a3d8ec637c4e504d2fa6da
Script0-Setting up and downloading data .R - 20,389 bytesMD5:
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Script1-Recursive feature elimination and correlation analysis.R - 35,654 bytesMD5:
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Script2-Ensemble with 12 subjective selected covariates.R - 39,572 bytesMD5:
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Script3-Ensemble with 17 Recursive feature selected covariates.R - 4,054 bytesMD5:
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Script4-Comparison RF GBM NN algorithms .R - 12,316 bytesMD5:
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Script5-Comparison 12 v 17 covariate ensembles.R - 10,780 bytesMD5:
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Script6-Indicator logistic regression kriging.R - 24,420 bytesMD5:
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Script7-Mapping geographic shift.R - 8,379,961 bytesMD5:
2f75fd2b792aada4783f918cd9566d27
Shapefiles.zip -
download all files (zip)
2,497,996,119 bytes unzipped