Identification of spatial dynamic patterns of behavior using weighted Voronoi diagrams
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| author | Avendaño-Garrido, Martha Lorena Hernández-Linares, Carlos Alberto Medina-Pérez, Brenda Zarahí Hernández, Varsovia Toledo, Porfirio León, Alejandro |
| author_facet | Avendaño-Garrido, Martha Lorena Hernández-Linares, Carlos Alberto Medina-Pérez, Brenda Zarahí Hernández, Varsovia Toledo, Porfirio León, Alejandro |
| contents | This study proposes an innovative approach to analyze spatial patterns of behavior by integrating information in weighted Voronoi diagrams. The objective of the research is to analyze the temporal distribution of an experimental subject in different regions of a given space, with the aim of identifying significant areas of interest. The methodology employed involves dividing the experimental space, determining representative points, and assigning weights based on the cumulative time the subject spends in each region. This process results in a set of generator points along with their respective weights, thus defining the Voronoi diagram. The study also presents a detailed and advanced perspective for understanding spatial behavioral patterns in experimental contexts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_17411 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Identification of spatial dynamic patterns of behavior using weighted Voronoi diagrams Avendaño-Garrido, Martha Lorena Hernández-Linares, Carlos Alberto Medina-Pérez, Brenda Zarahí Hernández, Varsovia Toledo, Porfirio León, Alejandro Other Quantitative Biology Biological Physics This study proposes an innovative approach to analyze spatial patterns of behavior by integrating information in weighted Voronoi diagrams. The objective of the research is to analyze the temporal distribution of an experimental subject in different regions of a given space, with the aim of identifying significant areas of interest. The methodology employed involves dividing the experimental space, determining representative points, and assigning weights based on the cumulative time the subject spends in each region. This process results in a set of generator points along with their respective weights, thus defining the Voronoi diagram. The study also presents a detailed and advanced perspective for understanding spatial behavioral patterns in experimental contexts. |
| title | Identification of spatial dynamic patterns of behavior using weighted Voronoi diagrams |
| topic | Other Quantitative Biology Biological Physics |
| url | https://arxiv.org/abs/2401.17411 |