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SIX TRANSFORMATIONS
The SDGs require an integrated framework to support complementary actions across all sectors. The SDSN is committed to a holistic framework called the “Six Transformations to Achieve the SDGs”.161 Geospatial data is needed to understand how populations move, identify communities that lack access to essential services, track land use changes, and are essential to mapping the state of the SDGs at high temporal and spatial resolution. In recent years, the SDSN has improved efforts to determine how geospatial information can contribute to the six transformations.
Six transformations to achieve the SDGs
To advance the global community toward a geospatial framework for sustainable development, the SDSN launched SDGs Today: The Global Hub for Real-Time SDG Data in partnership with Esri and the National Geographic Society. SDGs Today, an open access data platform, aims to advance the production and use of real-time and geospatial data for the SDGs. The initiative offers education and training resources to support countries, institutions, and civil society members to produce, share, and engage with the data to help meet the global goals by 2030.
Contribution of each SDG transformation toward the 17 SDGs.17
Transformation
Objective
GIS-based contribution
Education, gender, and inequality
Aims to enhance education, which in turn improves economic growth, eliminates extreme poverty, supports decent work, and overcomes gender and other inequalities.
Geospatial data and technologies can map the links between spatial exclusion, access to education and other services, and socioeconomic and environmental correlates of education.18,19
Health, well-being, and demography
Promotes investments in health and well-being and health interventions in other sectors that can improve social determinants of health.
GIS-based analytics uses spatial, demographic, economic, and environmental data to study and analyze spatial relationships between communities, support health care planning, model disease- affected areas and accessibility to health care services, and enable other applications.20,21
Energy decarbonization and sustainable industry
Aims to improve universal access to modern energy sources, decarbonize the energy system in line with the Paris Agreement, and reduce industrial pollution of the soil, water, and air.
GIS-based energy system planning and modeling can optimize decisions on renewable installations, decarbonization, resource assessment, and economic needs.22,23,24
Sustainable food, land, water, and oceans
Encourages approaches to land use, ocean use, and water management to help manage competing claims on land and water for food production, urban development, industry and mining, ecosystem management, carbon sequestration, and biodiversity conservation. It has the same goal on the ocean for transport, food production, energy harvesting, and mining and tourism, per the Paris Agreement, and to reduce industrial pollution of the soil, water, and air.
GIS can be used for monitoring and risk quantification for drought, heat, cold, salinity, flooding, and pests; and improving early warning systems; and tracking maritime traffic, biodiversity, coastal zones, pollution, and so on.25,26,27
Sustainable cities and communities
Enhance resilience against climate change and extreme weather events, ensuring access to the water supply, appropriate sewage and waste disposal, and efficient mobility. Also promotes more compact, safe, and healthy settlements.
GIS and analytical datasets such as the Global Human Settlement Layer,28 and Global Urban Footprint34 can improve development planning, disaster monitoring, settlement mapping, measuring access to services, and strengthening infrastructure networks.29,30
Digital revolution for sustainable development
Aims to raise productivity, lower production costs, reduce emissions, expand access, reduce resource intensity of production processes, improve matching in markets, enable the use of big data, and make public services more readily available.
Geospatial data and technologies can enhance decision-making by using information with high temporal and spatial resolution. A digital transformation can change how we use existing and new sources of data and emerging technologies to measure and monitor progress across all geographies.31,32,33,47
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GIS contributions related to the six transformations.