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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Analysis of Dogs’s Abandonment Problem Using Georeferenced Multi-agent Systems
verfasst von : Zoila Ruiz-Chavez, Jaime Salvador-Meneses, Cristina Mejía-Astudillo, Soledad Diaz-Quilachamin
Erschienen in: From Bioinspired Systems and Biomedical Applications to Machine Learning
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Abstract
This paper evaluates the social and public health impact of the abandonment of dogs in one of the tourist sectors of the city of Quito, “El Panecillo”. Some of the consequences of this abandonment are analyzed: overpopulation, traffic accidents, spread of diseases, among others. Through the georeferenced multi-agents modeling, different factors that intervene in this problematic are analyzed and a simulation that allows to visualize the growth of the canine population in condition of abandonment and the consequences that this generates over time is generated. The GIS layers based environment allows a real analysis of terrain conditions and geographical limitations, this gives greater simulation realism with a complex systems approach.