Point Process Models for Distribution of Cell Phone Antennas
We introduce a model for the spatial distribution of cell phone antennas in the city of Buenos Aires (CABA). After showing that the complete spatial randomness (homogeneous Poisson distribution) hy- pothesis does not hold, we propose a model in which each point is dis- tributed according to a bivari...
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| Autores principales: | , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/56813 http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-02.pdf |
| Aporte de: |
| Sumario: | We introduce a model for the spatial distribution of cell phone antennas in the city of Buenos Aires (CABA). After showing that the complete spatial randomness (homogeneous Poisson distribution) hy- pothesis does not hold, we propose a model in which each point is dis- tributed according to a bivariate Gaussian variable with mean given by the barycenter of its neighbors in the Delaunay triangulation. We show that this model is suitable, and can be used to generate a synthetic dis- tribution of antennas. The generated distribution contains no sensitive or proprietary information, and can thus be freely shared with research groups, fostering further research on the subject. |
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