1 code implementation • 20 Aug 2022 • Leonardo N. Ferreira
Ts2net also provides methods to transform a single time series into a network, such as recurrence networks, visibility graphs, and transition networks.
1 code implementation • 23 Apr 2020 • Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshe Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
In this paper, we propose a network-based model for spatiotemporal data analysis called chronnet.
1 code implementation • 11 Mar 2019 • Leonardo N. Ferreira, Didier A. Vega-Oliveros, Liang Zhao, Manoel F. Cardoso, Elbert E. N. Macau
In this paper, we evaluate the possibility of using historical data from 2003 to 2017 of active fire detections (NASA's MODIS MCD14ML C6) and time series forecasting methods to estimate global fire season severity (FSS), here defined as the accumulated fire detections in a season.
Applications
2 code implementations • 8 Feb 2019 • Leonardo N. Ferreira, Nicole C. R. Ferreira, Maria Livia L. M. Gava, Liang Zhao, Elbert E. N. Macau
In this context, functional climate networks can be constructed using a spatiotemporal climate dataset and a suitable time series distance function.
Data Analysis, Statistics and Probability Atmospheric and Oceanic Physics
1 code implementation • 19 Aug 2015 • Leonardo N. Ferreira, Liang Zhao
In this paper, we propose a technique for time series clustering using community detection in complex networks.