Daftar Isi: 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)"

Main Authors:	Vergara Fuentes, Camila, Pérez Foguet, Agustí
Format:	info dataset Journal
Terbitan:	, 2017
Subjects:	SIASAR; Water Sanitation and Hygiene; Support Decision Making; Multivariate Statistical Analysis; Administrative Multiscale Analysis; Monitoring System; Principal Component Analysis; Multiple Linear Regression; Linear Discriminant Analysis; R-studio; Nicaragua; Honduras; Panama; Dominican Republic
Online Access:	https://zenodo.org/record/918315

Daftar Isi:

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.