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
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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
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Dataset
Version 2 - 2021-11-03 (latest)
Version 1 - 2021-11-02
Usage statistics
2231
views
2655
downloads
Geolocation
Uganda
lat (N): 32.2903° E
lon (E): 1.3733° N
Time coverage 1958 & 2016
Licence CC BY 4.0
Interoperability
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.ResearchDataFormat
Zipped – vector and raster files R scriptsAssociated peer-reviewed publication
Mapping spatial distribution and geographic shifts of East African highland banana (Musa spp.) in UgandaFunding
- 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:
d4477051cd10ac99860f73fee2262046README.docx - 406,699 bytesMD5:
9dd90b92ab904bb6cedfc0a3349f6852AEZs.zip - 2,351 bytesMD5:
7558dde887be0d4ee863da0cc673927aBan5kmap1958.zip - 1,933 bytesMD5:
2dc3272b66d29227007af16ed15c2d06Ban5kmap2016.zip - 142,346 bytesMD5:
71cb1be0545c158fe6a51684d09384d7Filtered Geosurvey.zip - 63,794 bytesMD5:
7be4d2554bac6399f8256d82bc10c30fRaster WGS84.zip - 2,488,830,014 bytesMD5:
587563a3d49cc3a9e7d50cf505c76f22Rasters.zip - 4,905 bytesMD5:
340dc477b2a3d8ec637c4e504d2fa6daScript0-Setting up and downloading data .R - 20,389 bytesMD5:
62a881c4e93689f7de5d8b9e6c7b91cfScript1-Recursive feature elimination and correlation analysis.R - 35,654 bytesMD5:
bd2dd37dd4379779e9ea317f684806acScript2-Ensemble with 12 subjective selected covariates.R - 39,572 bytesMD5:
b4914a4ec0defa962ab7ad037a96196eScript3-Ensemble with 17 Recursive feature selected covariates.R - 4,054 bytesMD5:
50b55a386a40cdd58a07e5fe7778e538Script4-Comparison RF GBM NN algorithms .R - 12,316 bytesMD5:
038cd348fcf794c71df286009b260790Script5-Comparison 12 v 17 covariate ensembles.R - 10,780 bytesMD5:
7711cc39155b586ac15a0c713fac62f7Script6-Indicator logistic regression kriging.R - 24,420 bytesMD5:
a85c97584a6f8adf73c5196996cadeb7Script7-Mapping geographic shift.R - 8,379,961 bytesMD5:
2f75fd2b792aada4783f918cd9566d27Shapefiles.zip -
download all files (zip)
2,497,996,119 bytes unzipped





