Table 1:
Methods used to address the four types of questions with point or areal data
| Question a (spatial description) | Question b (hotspot detection and localisation) | Question c (hotspot explanation) | Question d (association between proximity and genetic relatedness) | |
|---|---|---|---|---|
|
| ||||
| Point data | Dot map (eg, using colour or shape to represent different Mycobacterium tuberculosis clusters) Illustration using text in a table Hypothesis testing (eg, ANOVA) |
Density-based methods (eg, kernel density estimation) Neighbour-based methods (eg, nearest neighbour index) Distance-based methods between cases and controls (eg, distance-based mapping) Spatial (Bayesian) modelling |
Hypothesis test (eg, ANOVA) Regression modelling Geostatistical spatial modelling |
Correlation Regression modelling Spatial (Bayesian) modelling |
| Areal data | Display aggregated information at the centroid of the locality (eg, pie chart and graduated symbol) Choropleth map Illustration using text in a table Hypothesis test (eg, χ2 test) |
Global and local spatial autocorrelation (eg, Global Moran’s I and Getis-Ord Gi*) Scan statistics Spatial (Bayesian) modelling |
Hypothesis test (eg, χ2 test) Regression modelling Disease mapping |
Correlation Regression modelling Spatial (Bayesian) modelling |