Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Roberto Manduchi

Datos Biográficos

ID7572810
NOMBRERoberto Manduchi
NOMBRESRoberto
APELLIDOManduchi
FIRMAMANDUCHI R
AFILIACIONESUniversity of California, Santa Cruz
ORCID0000-0003-2640-302X
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • A data-driven approach to mapping multidimensional poverty at residential block level in Mexico

    Open Access•Marivel Zea-Ortiz, Pablo Vera et al.•ARTICLE•Environment Development and…•2024

    Accurate, inexpensive and granular human poverty assessments are critical for data-driven policy decision-making. This research proposes a novel approach to computing poverty scores utilizing multispectral satellite images and indices calculated from census reference values. We show how this approach can leverage standard and sparse survey-based multidimensional poverty assessments at the municipal level to develop a deep learning architecture to…

Sin obras prominentes en esta página.

  • A data-driven approach to mapping multidimensional poverty at residential block level in Mexico

    Open Access•Marivel Zea-Ortiz, Pablo Vera et al.•ARTICLE•Environment Development and…•2024

    Accurate, inexpensive and granular human poverty assessments are critical for data-driven policy decision-making. This research proposes a novel approach to computing poverty scores utilizing multispectral satellite images and indices calculated from census reference values. We show how this approach can leverage standard and sparse survey-based multidimensional poverty assessments at the municipal level to develop a deep learning architecture to…

Economic growth (1 obras) · Economics (1 obras) · Geography (1 obras) · Impact of Light on Environment and Health (1 obras) · Land Use and Ecosystem Services (1 obras) · Mathematics (1 obras) · Poverty (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae