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Whitebox GAT was designed to provide a platform for the rapid development and testing of experimental geospatial analysis methods, supported by its extensible design, integrated facilities for custom plug-in tool authoring, and its novel open-access design philosophy.
Guidance on geospatial analysis methods in ArcGIS or R spatial packages.
Fig. 2 Application of geospatial analysis methods to unintentional injury data since 2000 (n = 67 studies).
Geographic Information System (GIS) tools and geospatial analysis methods can be used to investigate these spatial risk factors, which have been under-explored in traditional epidemiological studies (Beale et al. 2008; Ostfeld et al. 2005).
As the aim was to summarise the geospatial analysis methods reported in each study, some items of the PRISMA statement were not applicable (e.g. there was no formal assessment of risk of bias), nor was a quality assessment of the reviewed studies undertaken given the focus was on the adopted analysis methods only.
A geospatial analysis of adolescents in urban neighborhoods.
We conducted a geospatial analysis of bar-headed goose movements in relation to H5N1 risk factors and outbreak locations.
We conducted a geospatial analysis using existing data to better inform future surveillance efforts.
Here we conduct a geospatial analysis of surveillance data to assess whether terrestrial or arboreal rodents are more important as reservoirs of monkeypox virus.
This will ensure a high-quality geospatial analysis of places or events when locational information is vital for decision-making.
Our model could be applied either as a stand-alone geospatial analysis or incorporated into risk assessment software packages (e.g., RiskScape).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com