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A simple method for serving Web hypermaps with dynamic database drill-down.

Boulos MN, Roudsari AV, Carson ER - Int J Health Geogr (2002)

Bottom Line: WebView, the Internet extension to ArcView, publishes HealthCyberMap ArcView Views as Web client-side imagemaps.This paper describes HealthCyberMap simple, low-cost method for "patching" WebView to serve hypermaps with dynamic database drill-down functionality on the Web.CONCLUSION: The authors believe their map serving approach as adopted in HealthCyberMap has been very successful, especially in cases when only map attribute data change without a corresponding effect on map appearance.

View Article: PubMed Central - HTML - PubMed

Affiliation: Centre for Measurement and Information in Medicine, School of Informatics, City University, London EC1V 0HB, UK. M.Nabih-Kamel-Boulos@city.ac.uk

ABSTRACT
BACKGROUND: HealthCyberMap http://healthcybermap.semanticweb.org aims at mapping parts of health information cyberspace in novel ways to deliver a semantically superior user experience. This is achieved through "intelligent" categorisation and interactive hypermedia visualisation of health resources using metadata, clinical codes and GIS. HealthCyberMap is an ArcView 3.1 project. WebView, the Internet extension to ArcView, publishes HealthCyberMap ArcView Views as Web client-side imagemaps. The basic WebView set-up does not support any GIS database connection, and published Web maps become disconnected from the original project. A dedicated Internet map server would be the best way to serve HealthCyberMap database-driven interactive Web maps, but is an expensive and complex solution to acquire, run and maintain. This paper describes HealthCyberMap simple, low-cost method for "patching" WebView to serve hypermaps with dynamic database drill-down functionality on the Web. RESULTS: The proposed solution is currently used for publishing HealthCyberMap GIS-generated navigational information maps on the Web while maintaining their links with the underlying resource metadata base. CONCLUSION: The authors believe their map serving approach as adopted in HealthCyberMap has been very successful, especially in cases when only map attribute data change without a corresponding effect on map appearance. It should be also possible to use the same solution to publish other interactive GIS-driven maps on the Web, e.g., maps of real world health problems.

No MeSH data available.


Related in: MedlinePlus

Screenshot of the final step in BodyViewer "Setup Wizard" Screenshot of the final step in BodyViewer "Setup Wizard". Clicking the "Create Diagram" button will generate an "all systems" human body choropleth map showing resource counts in different organ systems. If "Show all systems diagram" is unchecked, a more detailed human body map will be created for (only) the system or sub-system whose name is selected in one of the two list boxes on the left.
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Figure 14: Screenshot of the final step in BodyViewer "Setup Wizard" Screenshot of the final step in BodyViewer "Setup Wizard". Clicking the "Create Diagram" button will generate an "all systems" human body choropleth map showing resource counts in different organ systems. If "Show all systems diagram" is unchecked, a more detailed human body map will be created for (only) the system or sub-system whose name is selected in one of the two list boxes on the left.

Mentions: We used BodyViewer "Setup Wizard" to map the Internet resources listed in HCM onto the human body (Figures 13 and 14). These resources have been indexed in the metadata base that we imported into ArcView in the previous step (see Figure 12 above). The mapping is based on the three ICD-9 fields in the imported table. BodyViewer can aggregate more than one ICD-9 code field at a time, and so was able to use all three DC subject fields in HCM metadata table combined to compute resource counts by clinical subject category/body region. BodyViewer classifies resource counts per body region into ranges and associates each range with a colour shade or tint, i.e., a choropleth rendition (darker colours meaning more resources). This allows us to visually spot infogaps (topical coverage gaps) and infoclusters. (Infogaps can be also due to insufficient indexing by HCM.)


A simple method for serving Web hypermaps with dynamic database drill-down.

Boulos MN, Roudsari AV, Carson ER - Int J Health Geogr (2002)

Screenshot of the final step in BodyViewer "Setup Wizard" Screenshot of the final step in BodyViewer "Setup Wizard". Clicking the "Create Diagram" button will generate an "all systems" human body choropleth map showing resource counts in different organ systems. If "Show all systems diagram" is unchecked, a more detailed human body map will be created for (only) the system or sub-system whose name is selected in one of the two list boxes on the left.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC131013&req=5

Figure 14: Screenshot of the final step in BodyViewer "Setup Wizard" Screenshot of the final step in BodyViewer "Setup Wizard". Clicking the "Create Diagram" button will generate an "all systems" human body choropleth map showing resource counts in different organ systems. If "Show all systems diagram" is unchecked, a more detailed human body map will be created for (only) the system or sub-system whose name is selected in one of the two list boxes on the left.
Mentions: We used BodyViewer "Setup Wizard" to map the Internet resources listed in HCM onto the human body (Figures 13 and 14). These resources have been indexed in the metadata base that we imported into ArcView in the previous step (see Figure 12 above). The mapping is based on the three ICD-9 fields in the imported table. BodyViewer can aggregate more than one ICD-9 code field at a time, and so was able to use all three DC subject fields in HCM metadata table combined to compute resource counts by clinical subject category/body region. BodyViewer classifies resource counts per body region into ranges and associates each range with a colour shade or tint, i.e., a choropleth rendition (darker colours meaning more resources). This allows us to visually spot infogaps (topical coverage gaps) and infoclusters. (Infogaps can be also due to insufficient indexing by HCM.)

Bottom Line: WebView, the Internet extension to ArcView, publishes HealthCyberMap ArcView Views as Web client-side imagemaps.This paper describes HealthCyberMap simple, low-cost method for "patching" WebView to serve hypermaps with dynamic database drill-down functionality on the Web.CONCLUSION: The authors believe their map serving approach as adopted in HealthCyberMap has been very successful, especially in cases when only map attribute data change without a corresponding effect on map appearance.

View Article: PubMed Central - HTML - PubMed

Affiliation: Centre for Measurement and Information in Medicine, School of Informatics, City University, London EC1V 0HB, UK. M.Nabih-Kamel-Boulos@city.ac.uk

ABSTRACT
BACKGROUND: HealthCyberMap http://healthcybermap.semanticweb.org aims at mapping parts of health information cyberspace in novel ways to deliver a semantically superior user experience. This is achieved through "intelligent" categorisation and interactive hypermedia visualisation of health resources using metadata, clinical codes and GIS. HealthCyberMap is an ArcView 3.1 project. WebView, the Internet extension to ArcView, publishes HealthCyberMap ArcView Views as Web client-side imagemaps. The basic WebView set-up does not support any GIS database connection, and published Web maps become disconnected from the original project. A dedicated Internet map server would be the best way to serve HealthCyberMap database-driven interactive Web maps, but is an expensive and complex solution to acquire, run and maintain. This paper describes HealthCyberMap simple, low-cost method for "patching" WebView to serve hypermaps with dynamic database drill-down functionality on the Web. RESULTS: The proposed solution is currently used for publishing HealthCyberMap GIS-generated navigational information maps on the Web while maintaining their links with the underlying resource metadata base. CONCLUSION: The authors believe their map serving approach as adopted in HealthCyberMap has been very successful, especially in cases when only map attribute data change without a corresponding effect on map appearance. It should be also possible to use the same solution to publish other interactive GIS-driven maps on the Web, e.g., maps of real world health problems.

No MeSH data available.


Related in: MedlinePlus