This paper proposes a web-enabled computational environment for the spatial modelling of habitat suitability of mosquito vectors.Under a component-based architecture and implemented using an object-oriented data model...This paper proposes a web-enabled computational environment for the spatial modelling of habitat suitability of mosquito vectors.Under a component-based architecture and implemented using an object-oriented data model,we integrate database interfaces,Web feature services(WFS)based on the open GIS consortium(OGC)protocols,and the data-mining tool WEKA,coupled through Java servlet scripts(JSP).The prototype,based exclusively on freely available libraries and software components,provides basic dynamic spatial simulation capabilities using logistic regression to end-users engaged in local and regional health administration and planning but who lack access to specific software and/or detailed knowledge of spatial modelling techniques.The component-based approach facilitates system maintenance and future expansion of functionality,and guarantees the reusability of developed modules in new spatial modelling applications of health and environmental-related phenomena.Functionality of the WWW-application was validated in a study of habitat suitability mapping of the Malaria vector Anopheles darlingi,in an area surrounding the Manso River hydropower plant,Central Brazil.展开更多
文摘This paper proposes a web-enabled computational environment for the spatial modelling of habitat suitability of mosquito vectors.Under a component-based architecture and implemented using an object-oriented data model,we integrate database interfaces,Web feature services(WFS)based on the open GIS consortium(OGC)protocols,and the data-mining tool WEKA,coupled through Java servlet scripts(JSP).The prototype,based exclusively on freely available libraries and software components,provides basic dynamic spatial simulation capabilities using logistic regression to end-users engaged in local and regional health administration and planning but who lack access to specific software and/or detailed knowledge of spatial modelling techniques.The component-based approach facilitates system maintenance and future expansion of functionality,and guarantees the reusability of developed modules in new spatial modelling applications of health and environmental-related phenomena.Functionality of the WWW-application was validated in a study of habitat suitability mapping of the Malaria vector Anopheles darlingi,in an area surrounding the Manso River hydropower plant,Central Brazil.
