Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Alexander Kolovos"'
Autor:
Jose Angulo, Hwa-Lung Yu, Andrea Langousis, Alexander Kolovos, Jinfeng Wang, Ana Esther Madrid, George Christakos
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e72168 (2013)
This paper is concerned with the modeling of infectious disease spread in a composite space-time domain under conditions of uncertainty. We focus on stochastic modeling that accounts for basic mechanisms of disease distribution and multi-sourced in s
Externí odkaz:
https://doaj.org/article/f0e881135e734636aaed790ca3c3a29f
Autor:
Jose Angulo, Hwa-Lung Yu, Andreas Langousis, Alexander Kolovos, Jinfeng Wang, Ana Esther Madrid, George Christakos
Publikováno v:
PLoS ONE, Vol 8, Iss 10 (2013)
Externí odkaz:
https://doaj.org/article/5dd6cbbe06184c4b8f1a0fea28428b99
Autor:
Junyu He, Alexander Kolovos
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 32:859-877
The present paper reviews the conceptual framework and development of the Bayesian Maximum Entropy (BME) approach. BME has been considered as a significant breakthrough and contribution to applied stochastics by introducing an improved, knowledge-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c1a759f53009c1b9d4ea0fc39438e1a
https://doi.org/10.1007/s00477-017-1419-7
https://doi.org/10.1007/s00477-017-1419-7
Publikováno v:
Spatial Statistics. 18:300-317
The abundance of spatial and space–time data in many research fields has led to an increasing interest in the analytics of spatial data information. This development has renewed the attention to predictive spatial methodologies and advancing geosta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a31c415d7f45ce01cb39913fb0b09c88
https://doi.org/10.1016/j.spasta.2016.05.005
https://doi.org/10.1016/j.spasta.2016.05.005
Autor:
Darren K. Hayunga, Alexander Kolovos
Publikováno v:
International Journal of Geographical Information Science. 30:2339-2354
Mapping spatial processes at a small scale is a challenge when observed data are not abundant. The article examines the residential housing market in Fort Worth, Texas, and builds price indices at the inter-and intra-neighborhood levels. To accomplis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69a6da8d0215b6a1849e5fa38aaa21ff
https://doi.org/10.1080/13658816.2016.1165820
https://doi.org/10.1080/13658816.2016.1165820
Publikováno v:
Renewable Energy. 80:153-165
Time-resolved characterization of solar irradiance at the ground level is a critical element in solar energy analysis. Siting of nodes in a network of solar irradiance monitoring stations (MS) is a multi-faceted problem that directly affects the dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::057143b3f2985daf3249d6d7a37f56c5
https://doi.org/10.1016/j.renene.2015.01.046
https://doi.org/10.1016/j.renene.2015.01.046
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 30:665-679
In recent years, there has been a fast growing interest in the space–time data processing capacity of Geographic Information Systems (GIS). In this paper we present a new GIS-based tool for advanced geostatistical analysis of space–time data; it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9de92c5e6c116644db34888b86e4b84d
https://doi.org/10.1007/s00477-015-1078-5
https://doi.org/10.1007/s00477-015-1078-5
Autor:
K. Modis, George Christakos, Alexander Kolovos, José M. Angulo, George Papantonopoulos, Jinfeng Wang
Publikováno v:
Environmental Monitoring and Assessment. 185:815-831
Known conceptual and technical limitations of mainstream environmental health data analysis have directed research to new avenues. The goal is to deal more efficiently with the inherent uncertainty and composite space-time heterogeneity of key attrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ed9100d5545f54f8d0f272ad3b36f1
https://doi.org/10.1007/s10661-012-2593-1
https://doi.org/10.1007/s10661-012-2593-1
Publikováno v:
Advances in Water Resources. 27:815-830
Environmental processes (e.g., groundwater contaminants, air pollution patterns, air–water and air–soil energy exchanges) are characterized by variability and uncertainty. Spatiotemporal random fields are used to represent correlations between fl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::087197cea079e99e409905957bdb8b72
https://doi.org/10.1016/j.advwatres.2004.04.002
https://doi.org/10.1016/j.advwatres.2004.04.002
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 42:991-1008
Atmospheric studies often require the generation of high-resolution maps of ozone distribution across space and time. The high natural variability of ozone concentrations and the different levels of accuracy of the algorithms used to generate data fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::484c0bc31bcae2ed1eb3ecb00f412b5b
https://doi.org/10.1109/tgrs.2003.822751
https://doi.org/10.1109/tgrs.2003.822751