RESUMO
BACKGROUND: Data integration and visualisation techniques have been widely used in scientific research to allow the exploitation of large volumes of data and support highly complex or long-lasting research questions. Integration allows data from different sources to be aggregated into a single database comprising variables of interest for different types of studies. Visualisation allows large and complex data sets to be manipulated and interpreted in a more intuitive way. METHODS: Integration and visualisation techniques were applied in a malaria surveillance ecosystem to build an integrated database comprising notifications, deaths, vector control and climate data. This database is accessed through Malaria-VisAnalytics, a visual mining platform for descriptive and predictive analysis supporting decision and policy-making by governmental and health agents. RESULTS: Experimental and validation results have proved that the visual exploration and interaction mechanisms allow effective surveillance for rapid action in suspected outbreaks, as well as support a set of different research questions over integrated malaria electronic health records. CONCLUSION: The integrated database and the visual mining platform (Malaria-VisAnalytics) allow different types of users to explore malaria-related data in a user-friendly interface. Summary data and key insights can be obtained through different techniques and dimensions. The case study on Manaus can serve as a reference for future replication in other municipalities. Finally, both the database and the visual mining platform can be extended with new data sources and functionalities to accommodate more complex scenarios (such as real-time data capture and analysis).
Assuntos
Ecossistema , Malária , Brasil/epidemiologia , Bases de Dados Factuais , Técnicas de Apoio para a Decisão , Humanos , Malária/epidemiologiaRESUMO
Use of computer technology is common in the construction since the 90's .Geographical Information System is a very useful technology in any data driven industry. The present paper reviews on the application and management of water works through GIS. GIS Data can be categorized as spatial and non-spatial data, which can be stored, manipulated, analysed and displayed with multiple users which can help in comprehensive solutions in a systematic way. GIS application is very common in construction industry, construction safety, flood studies, pipeline management which includes water works and sewerage. Project management through GIS is different from GIS based projects, the review briefs about the difference between the two. The pipe network management includes planning, designing, and management of the network, the planning is done using Remote sensing, photogrammetry drone or field survey method depending on the budget and objectives of the project. The designing of the network is done in GIS or separate application environment. The final step is the operations and management of the network which is in GIS.
RESUMO
The visual analysis of surface cracks plays an essential role in tunnel maintenance when assessing the condition of a tunnel. To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and multivariate data to decide if issuing a repair project is necessary. The primary contribution of this work is a design study, supporting tunnel crack analysis by tightly integrating geometric and attribute views to allow users a holistic visual analysis of geometric representations and multivariate attributes. Our secondary contribution is Visual Analytics and Rendering, a methodological approach which addresses challenges and recurring design questions in integrated systems. We evaluated the tunnel crack analysis solution in informal feedback sessions with experts from tunnel maintenance and surveying. We substantiated the derived methodology by providing guidelines and linking it to examples from the literature.