Open-Data Geospatial Method

Benefits

Comparisons

Where it comes from

Other

Highlighted claims

• The study used public physician, population, boundary, census geography, and road-network data sources. — Going the distance: a cross-sectional geospatial analysis quantifying province-wide inequities in travel-based access, and fragility of access to French-language primary care provided by family physicians in Ontario, Canada
• Dissemination blocks were used for trip origins and population counts. — Going the distance: a cross-sectional geospatial analysis quantifying province-wide inequities in travel-based access, and fragility of access to French-language primary care provided by family physicians in Ontario, Canada
• Census subdivisions were used for reporting and statistical analysis. — Going the distance: a cross-sectional geospatial analysis quantifying province-wide inequities in travel-based access, and fragility of access to French-language primary care provided by family physicians in Ontario, Canada
• The method is replicable because it uses open data and open-source software. — Going the distance: a cross-sectional geospatial analysis quantifying province-wide inequities in travel-based access, and fragility of access to French-language primary care provided by family physicians in Ontario, Canada
• The travel-based approach provides information that population-to-provider ratios alone cannot provide. — Going the distance: a cross-sectional geospatial analysis quantifying province-wide inequities in travel-based access, and fragility of access to French-language primary care provided by family physicians in Ontario, Canada