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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.13889 |
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| _version_ | 1866911310505050112 |
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| author | Guigues, Vincent Kleywegt, Anton J. Amorim, Giovanni Krauss, Andre Nascimento, Victor Hugo |
| author_facet | Guigues, Vincent Kleywegt, Anton J. Amorim, Giovanni Krauss, Andre Nascimento, Victor Hugo |
| contents | This is the User Manual of the LASPATED library. This library is available on GitHub (at https://github.com/vguigues/LASPATED)) and provides a set of tools to analyze spatiotemporal data. A video tutorial for this library is available on Youtube. It is made of a Python package for time and space discretizations and of two packages (one in Matlab and one in C++) implementing the calibration of the probabilistic models for stochastic spatio-temporal data proposed in the companion paper arXiv:2203.16371v2. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_13889 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LASPATED: A Library for the Analysis of Spatio-Temporal Discrete Data (User Manual) Guigues, Vincent Kleywegt, Anton J. Amorim, Giovanni Krauss, Andre Nascimento, Victor Hugo Computation This is the User Manual of the LASPATED library. This library is available on GitHub (at https://github.com/vguigues/LASPATED)) and provides a set of tools to analyze spatiotemporal data. A video tutorial for this library is available on Youtube. It is made of a Python package for time and space discretizations and of two packages (one in Matlab and one in C++) implementing the calibration of the probabilistic models for stochastic spatio-temporal data proposed in the companion paper arXiv:2203.16371v2. |
| title | LASPATED: A Library for the Analysis of Spatio-Temporal Discrete Data (User Manual) |
| topic | Computation |
| url | https://arxiv.org/abs/2407.13889 |