Document of recommendations for generating environmental statistics and indicators for the SDGs with geospatial information and using non-traditional sources

Document of recommendations for generating environmental statistics and indicators for the SDGs with geospatial information and using non-traditional sources

Biennium:
2020-2021
Coordinator
Instituto Nacional de Estadística y Geografía (INEGI) of Mexico
Technical Secretariat
Statistics Division of ECLAC
Members
Instituto Nacional de Estadística (INE) of Boliva
Brazilian Institute of Geography and Statistics (IBGE)
Instituto Nacional de Estadísticas (INE) of Chile
Departamento Administrativo Nacional de Estadística (DANE) of Colombia
Instituto Nacional de Estadística y Censos (INEC) of Costa Rica
Oficina Nacional de Estadística e Información (ONEI) of Cuba
Instituto Nacional de Estadística y Censos (INEC) of Ecuador
Instituto Nacional de Información de Desarrollo (INIDE) of Nicaragua
Dirección General de Estadística, Encuestas y Censos (DGEEC) of Paraguay
National Institute of Statistics and Informatics (INEI) of Perú
Oficina Nacional de Estadística (ONE) of Dominican Republic
Programa de las Naciones Unidas para el Desarrollo PNUD
Programa de Naciones Unidas para el Medio Ambiente UNEP
Objetives

General objective 

To produce a document of recommendations for generating environmental statistics and indicators for the SDGs, based on the integration of non-traditional sources and the use of Earth observations that enable the countries of the region to create new methodologies or improve existing ones.

Specific objectives 

  • To develop conceptual definition and recommendations based on the countries’ best practices and methodological lines to adapt them within the region.
  • To identify capacities and areas of opportunity for using Earth observations and nontraditional sources in the region’s methodologies.
  • To design strategic action guidelines and recommendations to further the generation of environmental statistics and indicators in the countries of the region, based on the integration of non-traditional sources and the use of Earth observations.