Multiagent Systems applied to Hydric Resources: A comparison between Gama and Google Earth
| Autor: | Mota, Fernanda P., Born, Míriam B., Gonçalves, Matheus, Farias, Giovani P., Leitzke, Bruna S., de Aguiar, Marilton S., Adamatti, Diana Francisca |
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| Přispěvatelé: | Universidade Federal de Pelotas = Federal University of Pelotas (UFPel), Universidade Federal do Rio Grande (FURG), Frédéric Amblard, Kevin Chapuis, Alexis Drogoul, Benoit Gaudou, Dominique Longin, Nicolas Verstaevel |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | 1st conference GAMA Days 2021 1st conference GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Toulouse (Online), France |
| Popis: | International audience; Our main contribution in this research is to make a comparison between the functionalities of the tools GAMA and Google Earth. The main objective of this work is to identify and evaluate which of the tools would be more adequate in the context of data analysis in water resources. Furthermore, we evaluate the availability of data provided by each one, and we also analyze the possibility of integrating them. This research also aims to evaluate the possibility of using Multiagent Based Simulation (MABS) in the participatory management of hydric resources, more specifically using as a base data from the state of Rio Grande do Sul, and focusing on the pilot application of the work in the Management Committee of the Hydrographic Basins of Lagoa Mirim and São Gonçalo Canal, which involve the cities of Rio Grande and Pelotas. According to our knowledge, this methodology has not yet been applied in the context of the state, seeking a more interactive and participatory way for decision making on water issues. In this approach, the participation of the agents involved is vital. Therefore, integration with the proposed region’s basin committee members is essential. GAMA (GIS Agent-based Modeling Architecture) is a development, modeling and simulation platform consisting of tools that assist in the design of complex models through the integration between agent-based programming, geographic data management, flexible visualization tools, multi -level representation and a complete modeling language called GAML (GAma Modeling Language). Google Earth Engine combines a set of satellite imagery (petabytes of data) and geospatial data with analysis capabilities on a planetary scale. The tool makes it possible for scientists, researchers, and developers to detect changes, map trends and quantify differences on the Earth’s surface. The programming language used in this tool is javascript, which facilitates the development of mobile applications, games, and machine learning applications. For analysis of this comparison, we conducted a case study on both tools. Data from the region near Lagoa Mirim, Lagoa dos Patos and Canal São Gonçalo were used, which were made available by the State Environment Secretariat of RS, totaling 34 different layers of the area. As a result of this study, we can see that multiagent simulation is inherent in the GAMA tool, while to build the same simulation in Google Earth, we need to develop a complex model through the integration between agent-based programming and georeferenced data. |
| Databáze: | OpenAIRE |
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