What does this research mean for the field?

Geospatial data is predominantly used for monitoring rather than decision-making in local Sustainable Development Goal (SDG) governance, and multi-strategy approaches like GeoAI are necessary to overcome challenges in disaggregating social and economic data at urban scales. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This review aims to evaluate the role of geospatial data in the localization and monitoring of sustainable development goals (SDGs) at the local level.

August 13, 2026SustainabilityOpen Access

Using Geospatial Data to Monitor and Evaluate Local SDG Implementation: A Systematic Review

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This review aims to evaluate the role of geospatial data in the localization and monitoring of sustainable development goals (SDGs) at the local level.
Systematic review of 147 peer-reviewed articles.
Categorization of studies into seven categories for SDG implementation considerations.
Assessment of methodological quality and analysis of data types and approaches for local SDG monitoring.
Nearly all studies utilized geospatial data for monitoring, with very few aiding decision-making.
Indicators for SDGs lack trends, and data disaggregation for urban settings is challenging.
Multi-strategy approaches using GeoAI and big data yield better insights on SDG performance than single strategy methods.

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Implication

Systematic review demonstrates the potential of geospatial data for assessing SDGs localization, highlighting gaps and challenges.

Cite This Study

A 2026 study studied this question.

synapsesocial.com/papers/6a7d75f62b0e0cff3f63eea4 https://doi.org/10.3390/su18168139

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Using Geospatial Data to Monitor and Evaluate Local SDG Implementation: A Systematic Review

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Implication

Cite This Study

Using Geospatial Data to Monitor and Evaluate Local SDG Implementation: A Systematic Review

Key Points

Discussion

Implication

Cite This Study

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