LASPATED：时空离散数据分析库（用户手册）

arXiv - STAT - Computation Pub Date : 2024-07-18 DOI:arxiv-2407.13889

Vincent Guigues, Anton J. Kleywegt, Giovanni Amorim, Andre Krauss, Victor Hugo Nascimento

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引用次数: 0

摘要

这是 LASPATED 库的用户手册。该库可在 GitHub 上下载（网址：https://github.com/vguigues/LASPATED），提供了一套分析时空数据的工具。Youtube 上有该库的视频教程。它由一个用于时间和空间离散化的 Python 软件包和两个软件包（一个是 Matlab 软件包，一个是 C++ 软件包）组成，这两个软件包分别实现了论文 arXiv:2203.16371v2 中提出的随机时空数据概率模型的校准。

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LASPATED: A Library for the Analysis of Spatio-Temporal Discrete Data (User Manual)

This is the User Manual of 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.

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arXiv - STAT - Computation

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