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Original Articles

An open source, server-side framework for analytical web mapping and its application to health

, , , &
Pages 294-315 | Received 15 Feb 2012, Accepted 11 Mar 2013, Published online: 19 Apr 2013

Figures & data

Figure 1. (a) WMS method for generating thematic maps (e.g. GeoServer). (b) Dynamic, client-side styling method for generating thematic maps. (c) Dynamic, server-side styling method for generating thematic. (d) Proposed method for generating thematic maps.
Figure 1. (a) WMS method for generating thematic maps (e.g. GeoServer). (b) Dynamic, client-side styling method for generating thematic maps. (c) Dynamic, server-side styling method for generating thematic. (d) Proposed method for generating thematic maps.
Figure 2. Overview of the system design.
Figure 2. Overview of the system design.

Table 1. Attribute property metadata.

Figure 3. Analytical workflow used to generate a thematic map.
Figure 3. Analytical workflow used to generate a thematic map.
Figure 5. (a) Rate ratio styled using Equal Intervals. (b) Rate ratio styled using Natural Breaks.
Figure 5. (a) Rate ratio styled using Equal Intervals. (b) Rate ratio styled using Natural Breaks.
Figure 6. (a) Raw count, 18- to 24-year-old demographic. (b) The 18- to 24-year-old demographic as a proportion of the underlying population.
Figure 6. (a) Raw count, 18- to 24-year-old demographic. (b) The 18- to 24-year-old demographic as a proportion of the underlying population.
Figure 7. (a) Direct ASR for ICD-10 Chapter K. (b) Direct ASR for ICD-10 Chapter K, ages 18–35 (baselayer: © OpenStreetMap contributors, openstreetmap.org).
Figure 7. (a) Direct ASR for ICD-10 Chapter K. (b) Direct ASR for ICD-10 Chapter K, ages 18–35 (baselayer: © OpenStreetMap contributors, openstreetmap.org).

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