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

In this paper, we detail the design and the implementation of an open source, server-side web mapping framework for the analysis of health data. The framework forms part of a larger project, the goal of which is to provide an analytical web geographical information system (GIS) that enables health experts to analyse spatial aspects of health data. The aim of the framework is to provide a method for the dynamic and flexible spatial visualisation of health data to facilitate data exploration and analysis. Consequently, a dynamic thematic web mapping technique, an extension to the Open Geospatial Consortium (OGC) web map service standard, was developed. The technique combines a data query, processing technique and styling methodology on the fly to generate a thematic map. The resulting thematic map represents a virtual map layer that enables a user to rapidly visually summarise properties of a data-set. A test web interface was developed to assess the efficacy of the web mapping technique. As the dynamic web mapping method builds on existing OGC web mapping standards, it can be readily integrated with the existing lightweight slippy map web clients and virtual globes.

[1]  James C Wallace,et al.  Integrating open-source technologies to build low-cost information systems for improved access to public health data , 2008, International journal of health geographics.

[2]  Raoul Kamadjeu,et al.  Web-based public health geographic information systems for resources-constrained environment using scalable vector graphics technology: a proof of concept applied to the expanded program on immunization data , 2006, International journal of health geographics.

[3]  Desmond H Foley,et al.  MosquitoMap and the Mal-area calculator: new web tools to relate mosquito species distribution with vector borne disease , 2010, International journal of health geographics.

[4]  K. Joyce "To me it's just another tool to help understand the evidence": public health decision-makers' perceptions of the value of geographical information systems (GIS). , 2009, Health & place.

[5]  Barry Evans,et al.  Open-Source web-based geographical information system for health exposure assessment , 2012, International Journal of Health Geographics.

[6]  Cynthia A. Brewer,et al.  Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series , 2002 .

[7]  Alan M MacEachren,et al.  Informing geospatial toolset design: understanding the process of cancer data exploration and analysis. , 2008, Health & place.

[8]  Anthony C. Robinson,et al.  A design framework exploratory geovisualization in epidemiology , 2007 .

[9]  Claus Rinner,et al.  Evaluating web-based static, animated and interactive maps for injury prevention. , 2009, Geospatial health.

[10]  A. Koenig,et al.  Interactive map communication: pilot study of the visual perceptions and preferences of public health practitioners. , 2011, Public health.

[11]  Huadong Guo,et al.  Next-generation Digital Earth , 2012, Proceedings of the National Academy of Sciences.

[12]  Alan M. MacEachren,et al.  Design and Implementation of a Model, Web-based, GIS-Enabled Cancer Atlas , 2008 .

[13]  A Sutcliffe,et al.  Supporting Creativity and Appreciation of Uncertainty in Exploring Geo-coded Public Health Data , 2009, Methods of Information in Medicine.

[14]  Tao Cheng,et al.  Methods and tools for geographical mapping and analysis in primary health care , 2011, Primary Health Care Research & Development.

[15]  Anthony C. Robinson A Design Framework for Exploratory Geovisualization in Epidemiology , 2007, Inf. Vis..