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Spatial data science for SDG monitoring in an immature data ecosystem
Alistair Geddes
Energy Environment and Society
Research output
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Contribution to conference
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Paper
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peer-review
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Keyphrases
Geographic Information Science
100%
SDG Monitoring
100%
Data Ecosystem
100%
Point Location
66%
Sustainable Development Goals
66%
Water Points
66%
Least Developed Countries
33%
Malawi
33%
Low Quality Data
33%
Online Database
33%
Whole Systems
33%
Quality Measures
33%
Drinking Water
33%
Central Africa
33%
Big Data
33%
Data Development
33%
Population Proportion
33%
System Data
33%
Sectoral Data
33%
Rural Water Supply
33%
Data Literacy
33%
Ecosystem Framework
33%
Coverage Gap
33%
2030 Sustainable Development Goals
33%
Indicator Monitoring
33%
Gridded Population
33%
Collection Gaps
33%
Data Suitability
33%
Small Data
33%
Accelerated Implementation
33%
Fragmented Data
33%
Safely Managed Drinking Water
33%
Computer Science
Case Study
100%
Data Type
100%
Developed Country
100%
Big Data
100%
Data Program
100%
Agricultural and Biological Sciences
Immatures
100%
Spatial Data
100%
Drinking Water
100%
Water Supply
50%
Case Study
50%
Face
50%
Earth and Planetary Sciences
Sustainable Development Goals
100%
Spatial Data
100%
Data Ecosystem
100%
Non-Governmental Organisation
33%
Potable Water
16%
Big Data
16%
Malawi
16%
Drinking Water Supply
16%
Less Developed Country
16%
Central Africa
16%