Published September 21, 2017
| Version v1
Dataset
Open
Databases for "A multiscale approach to identify key factors determining rural WaSH service level and sustainability" (ShinyApp). Application to SIASAR conceptual model v1, outputs obtained from Nicaragua, Honduras, Panama and Dominican Republic SIASAR databases (last accessed: December 21, 2016)".
Authors/Creators
- 1. Engineering Science and Global Development (EScGD), University Research Institute for Sustainability Science and Technology, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
- 2. Engineering Science and Global Development (EScGD), Department of Civil and Environmental Engineering, Barcelona School of Civil Engineering (ETSECCPB), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
Description
Attached databases contain the results obtained by applying the SIASAR composite indicators v1 (available at http://upcommons.upc.edu/handle/2117/77587) to data presented in http://doi.org/10.5281/zenodo.571351
These files can be directly exploited by using the ShinyApp “A multiscale approach to identify key factors determining rural WaSH service level and sustainability”.
Each *.csv file contains one country's database.
Files
MEF_data_csv.zip
Files
(667.1 kB)
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md5:24599e0566f452be0696b93691ef4e58
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