The geographic information system approach has permitted integration between demographic, socio-economic and environmental data, providing In the 1990s, an increasing capacity of data analysis and ease of information accessibility through cheap and simple computational systems was remarkable. Such technology represents a breakthrough in data bank organization, mainly regarding health.Geoprocessing is a broad term that is applied to several technologies of manipulation and processing of geographical data through computational programs. System of geographical information (SGI) is one of the geoprocessing techniques, the most widely used, once it gathers organized data at the stages of data capture by remote sensing, GPS or organization of digital cartographic basis, and organizes systems, which are able to obtain new information and improve knowledge. SGI comprises computational systems used for understanding facts and phenomena that occur in the geographical space. Its capacity of gathering data sets of conventional spatial expression, structuring and integrating them adequately, makes it an essential tool for manipulating geographical information (Pina 1994).Applications of SGI in the field of health have been reported in studies on epidemiological surveys, health service assessment, urbanization, and environment. Moreover, evaluation of endemic diseases from the perspective of several elements involved in the transmission cycle, such as historical, environmental, and social determinants of disease foci, became easier with Geoprocessing techniques (Sabroza et al. 1992, Albuquerque 1993, Thomson & Connor 2000.Geoprocessing technology has enabled scientists to map vectors and analyze environmental factors that affect spatial and temporal distribution of insects. Such techniques have been used to monitor diseases such as malaria, trypanosomiasis, and leishmaniases (Elnaiem et al. 1998, Thomson & Connor 2000.American cutaneous leishmaniasis (ACL) and visceral leishmaniasis (VL) have been studied through geoprocessing techniques by several investigators: Cross et al. (1996), by gathering data from 136 scientific papers, have generated a distribution model of Phlebotomus papatasi in Southeast Asia throughout the year. By using satellite images and field-collected data in Sudan, Elnaiem et al. (1998Elnaiem et al. ( , 2003 and Thomson et al. (1999) observed that several ecological factors are crucial for the presence of Phlebotomus orientalis, the vector of VL in that country. Kawa and Sabroza (2002) and Werneck and Maguire (2002) have analyzed historical and spatial determinants, in the city of Rio de Janeiro, Brazil, and Teresina, state of Piauí, Brazil, respectively, for implementation, maintenance, and spread of ACL and their correlation with urban organization and occupation in the periphery of those cities. Hay et al. (1997), Connor et al. (1998), andKing et al. (2004) Therefore, data collection through geoprocessing techniques has contributed to monitor and specially to identify effective and priority contro...

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The paper presents the main motivations for the development of a Brazilian platform for Geodesign, based on adaptations of observed needs, review of processes and facilities to face the challenges of spatial inequalities and complexity. The study is motivated by the analysis of difficulties and criticisms on the applied framework tested in robust number of workshops developed. It starts by the literature review in order to understand the main values and keywords that were constructed along time in the use of technologies of geospatial information in planning and, as a result, defines the main resources and facilities that should be considered to a new format of Geodesign. The new platform itself is presented, and the paper illustrates and discusses the proposed framework according to four steps: Reading Enrichment, Dialogues as Creation of Ideas, Voting as Selection of Ideas, and Statistics as Final Decision. It compares and justifies a new framework in Geodesign in face to main models generally used and discusses possible development to a close future.

The Brazilian Geodesign platform was proposed based on extensive experience in Geodesign workshops, aiming to adapt the method to the country’s cultural specificities, with a commitment to support the construction of opinions in planning, in the process of transformative-learning planning. To test the scalability of the method, a study was developed in 13 metropolitan regions of the country, with the involvement of universities, distributed from north to south, in different biomes and urbanization conditions. The same method was proposed for everyone, starting from the same collection of 40 thematic maps to support discussions about alternative futures in land use. Participants used the GISColab platform and went through the same stages of analysis, proposition, and negotiation of ideas. As a result, there was an improvement in the projects developed between the first and the last day of work, with the expansion of compliance with the goals of sustainable development (SDG) and areas for carbon credit. It was possible to observe that, although they used the same framework proposed, each group adapted the method to their local reality, proving the scalability of the process and the necessary flexibility for employment in different realities, ensuring a defensible and reproducible criterion. As recommendations, it would be interesting to apply the same study of multiple simultaneous cases in another country, to analyze the scalability and flexibility to local changes, as it happened in the experiment. This would be entirely possible, as the platform is based on worldwide OGC standards (Open Geospatial Consortium) and would have full interoperability in use.

This paper argues that the opportunities offered by currently available collaborative Planning Support Systems (PSS) are useful not only for applying a systems approach and coordinating actors in the planning process, but also for tracking the evolution of design alternatives toward a final plan. The availability of process log-data in the latest PSS opens new paths for understanding (geo)design dynamics. With the aim of taking full advantage of this new data source, a novel Geodesign Process Analytics is described in detail from log-data extraction and pre-processing methods and tools to the development of the set of spatial, performance, temporal and design evolution indicators. The study also demonstrates how the proposed measures are appropriate for display in a dynamic dashboard, making available a real-time process analysis tool to the team coordinators, thus supporting their leading role in facilitating the geodesign process. The research assumptions were tested using the Geodesignhub PSS and data from a geodesign study developed within the International Geodesign Collaboration.