Accompanying data and R scripts: Mapping the spatial distribution and geographic shift of East African highland banana (Musa sp.) cropping systems in Uganda
doi:10.4121/16908469.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
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doi: 10.4121/16908469
doi: 10.4121/16908469
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 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/16908469.v2
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
- 2021-11-03 published, posted
publisher
4TU.ResearchData
format
Zipped – vector and raster files
R scripts
associated peer-reviewed publication
Mapping spatial distribution and geographic shifts of East African highland banana (Musa spp.) in Uganda
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:
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README.docx - 406,699 bytesMD5:
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AEZs.zip - 2,351 bytesMD5:
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Ban5kmap1958.zip - 1,933 bytesMD5:
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Ban5kmap2016.zip - 142,346 bytesMD5:
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Filtered Geosurvey.zip - 63,794 bytesMD5:
7be4d2554bac6399f8256d82bc10c30f
Raster WGS84.zip - 2,488,830,014 bytesMD5:
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Rasters.zip - 4,905 bytesMD5:
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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:
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Shapefiles.zip -
download all files (zip)
2,497,996,119 bytes unzipped