Results 81 to 90 of about 65,415 (265)

Multiscale recurrence analysis of spatio-temporal data

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2015
The description and analysis of spatio-temporal dynamics is a crucial task in many scientific disciplines. In this work, we propose a method which uses the mapogram as a similarity measure between spatially distributed data instances at different time points.
M. Riedl, N. Marwan, J. Kurths
openaire   +3 more sources

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data

Journal of Statistical Software
Multivariate spatio-temporal data refers to multiple measurements taken across space and time. For many analyses, spatial and time components can be separately studied: for example, to explore the temporal trend of one variable for a single spatial ...
H. Sherry Zhang, Dianne Cook, Ursula Laa, Nicolas Langrené, Patricia Menéndez   +4 more
doaj   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

spatio-temporal analysis of fires in South Africa

South African Journal of Science, 2016
The prevalence and history of fires in Africa has led to the continent being named ‘the fire continent’. Fires are common on the continent and lead to a high number of annual fire disasters which result in many human fatalities and considerable financial loss.
Sheldon Strydom, Michael J. Savage
openaire   +4 more sources

PondNet – towards a global network of experiments on the effects of climate change on aquatic ecosystems

Ecography, EarlyView.
Global change is reshaping the distribution of biodiversity and the functioning of ecosystems. Predicting the long‐term consequences of such changes remains a challenge due to a need for a clear understanding of the mechanisms underpinning ecosystem‐level responses, as well as the role of geographical and environmental contingencies.
Miguel G. Matias, Dominique Gravel, Jonathan M. Chase, Carla Pinto‐ Cruz, David García‐ Callejas, M. Thomas P. Gilbert, Mathew A. Leibold, Dora Neto, Cátia L. Pereira, Carlos Ramos, Pedro M. Raposeiro, Alejandro Rozenfeld, Katarzyna Sroczynska, David R. Vieites, Guy Woodward, Miguel B. Araújo   +15 more
wiley   +1 more source

Spatio-Temporal Analysis of Urban Leisure Consumption Activities Based on Autoencoder and Multi-Source Data: A Case Study of Chongqing, China

IEEE Access
Urban leisure consumption activities (ULCA) are key indicators of urban vitality, and analyzing their spatio-temporal distribution is essential for understanding the structure and dynamics of urban spaces.
Ziyu Hu, Moran Zhang, Li Liu, Haijia Wu
doaj   +1 more source

Changing patterns of colonisation and persistence during the wolf recolonisation of the human‐dominated Italian alpine region

Ecography, EarlyView.
Dynamic occupancy models are fundamental for understanding complex species recolonisation processes, as they allow the assessment of both colonisation and persistence probabilities over time. Using a dynamic occupancy model and a large‐scale multi‐year dataset on wolf presence collected in the Italian alpine region between 2014 and 2020, we analysed ...
M. V. Boiani, P. Dupont, R. Bischof, O. Friard, F. Bisi, G. Bombieri, S. Calderola, S. Carolfi, C. Chioso, L. Corlatti, U. Fattori, P. Ferrari, S. Filacorda, M. Geary, P. Molinari, E. Pernechele, D. Righetti, M. Tomasella, F. Truc, E. Avanzinelli, A. von Hardenberg, F. Marucco   +21 more
wiley   +1 more source

Temporal convolutional network architectures: a novel simultaneous spatio-temporal model for comparative analysis

Frontiers in Signal Processing
IntroductionConventional temporal-based deep learning models often fail to extract inter- channel information from electromyographic (EMG) signals. Existing spatio-temporal approaches typically sequentially combine spatial and temporal networks, but this
Milad Jabbari, Eisa Aghchehli, Chenfei Ma, Kianoush Nazarpour   +3 more
doaj   +1 more source

Spatio-Temporal Analysis and Mapping of Malaria in Thailand

, 2014
This paper proposes a GLMM with spatial and temporal effects for malaria data in Thailand. A Bayesian method is used for parameter estimation via Gibbs sampling MCMC. A conditional autoregressive (CAR) model is assumed to present the spatial effects. The temporal correlation is presented through the covariance matrix of the random effects.
Krisada Lekdee, Sunee Sammatat, Nittaya Boonsit   +2 more
openaire   +14 more sources