scholarly journals The cover time, the blanket time, and the Matthews bound

2002 ◽  
Author(s):  
J. Kahn ◽  
J.H. Kim ◽  
L. Lovasz ◽  
V.H. Vu
Keyword(s):  
Cover Time

scholarly journals Time Series Analysis of Climatic Variables in Peninsular Spain. Trends and Forecasting Models for Data between 20th and 21st Centuries

Climate ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 119
Author(s):  
Pitshu Mulomba Mukadi ◽  
Concepción González-García
Keyword(s):  
Time Series ◽  
Temperature Series ◽  
Climatic Variables ◽  
Monthly Precipitation ◽  
Agricultural Crops ◽  
Arima Models ◽  
Cover Time ◽  
Pests And Diseases ◽  
Historical Series ◽  
Preliminary Phase

Time series of mean monthly temperature and total monthly precipitation are two of the climatic variables most easily obtained from weather station records. There are many studies analyzing historical series of these variables, particularly in the Spanish territory. In this study, the series of these two variables in 47 stations of the provincial capitals of mainland Spain were analyzed. The series cover time periods from the 1940s to 2013; the studies reviewed in mainland Spain go up to 2008. ARIMA models were used to represent their variation. In the preliminary phase of description and identification of the model, a study to detect possible trends in the series was carried out in an isolated manner. Significant trends were found in 15 of the temperature series, and there were trends in precipitation in only five of them. The results obtained for the trends are discussed with reference to those of other, more detailed studies in the different regions, confirming whether the same trend was maintained over time. With the ARIMA models obtained, 12-month predictions were made by measuring errors with the observed data. More than 50% of the series of both were modeled. Predictions with these models could be useful in different aspects of seasonal job planning, such as wildfires, pests and diseases, and agricultural crops.

The cover time of the giant component of a random graph

2008 ◽  
Vol 32 (4) ◽  
pp. 401-439 ◽  
Author(s):  
Colin Cooper ◽  
Alan Frieze
Keyword(s):  
Random Graph ◽  
Giant Component ◽  
Cover Time

scholarly journals Multitarget search on complex networks: A logarithmic growth of global mean random cover time

2017 ◽  
Vol 27 (9) ◽  
pp. 093103 ◽  
Author(s):  
Tongfeng Weng ◽  
Jie Zhang ◽  
Michael Small ◽  
Ji Yang ◽  
Farshid Hassani Bijarbooneh ◽  
...  
Keyword(s):  
Complex Networks ◽  
Cover Time ◽  
Global Mean ◽  
Logarithmic Growth

scholarly journals Variability in Quasar Broad Absorption Line Outflows

2009 ◽  
Vol 5 (S267) ◽  
pp. 394-394
Author(s):  
Daniel M. Capellupo ◽  
Fred Hamann ◽  
Joseph C. Shields ◽  
Tom A. Barlow ◽  
Paola Rodriguez
Keyword(s):  
Physical Properties ◽  
Galaxy Evolution ◽  
High Velocity ◽  
Rest Frame ◽  
Structure Evolution ◽  
Cover Time ◽  
Broad Absorption ◽  
Broad Absorption Line ◽  
Quasar Spectra ◽  
Observation Period

Broad absorption lines (BALs) in quasar spectra identify high-velocity outflows that likely exist in all quasars and could play a major role in feedback to galaxy evolution (e.g., Di Matteo et al. 2005). Studying the variability in these BALs can help us understand the structure, evolution, and basic physical properties of these outflows. We are investigating BAL variability in a sample of 25 luminous quasars at 1.2 < z < 2.9 with multi-epoch observations that cover time scales from less than around a month to 7.7 years in the quasar rest-frame. We investigate changes in the C iv λ1549 BALs, and we see a variety of phenomena, including some BALs that either appeared or disappeared completely and other BALs that did not change at all over the whole observation period.

scholarly journals Socio-environmental land cover time series analysis of mining landscapes using Google Earth Engine and web-based mapping

2020 ◽  
pp. 100458
Author(s):  
Michelle Li Ern Ang ◽  
Dirk Arts ◽  
Danielle Crawford ◽  
Bonifacio V. Labatos ◽  
Khanh Duc Ngo ◽  
...  
Keyword(s):  
Time Series ◽  
Land Cover ◽  
Time Series Analysis ◽  
Google Earth ◽  
Cover Time ◽  
Web Based ◽  
Series Analysis ◽  
Google Earth Engine
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