Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Carmen Vega Orozco"'
Publikováno v:
Natural Hazards. 85:1489-1510
The spatial and temporal distribution of forest fires displays a complex pattern which strongly influences the forest landscape and the neighbouring anthropogenic development. Statistical methods developed for spatio-temporal stochastic point process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5c5ef2c23a5c46a8a3c9c75fa4491c6
https://doi.org/10.1007/s11069-016-2637-x
https://doi.org/10.1007/s11069-016-2637-x
Publikováno v:
Geoinformatica, vol. 16, pp. 653-673
Forest fire sequences can be modelled as a stochastic point process where events are characterized by their spatial locations and occurrence in time. Cluster analysis permits the detection of the space/time pattern distribution of forest fires. These
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da3487e53c150d52de3a0d74204d6a8e
http://doc.rero.ch/record/312198/files/10707_2012_Article_161.pdf
http://doc.rero.ch/record/312198/files/10707_2012_Article_161.pdf
Publikováno v:
Environmental Modelling & Software. 72:239-249
This study focuses on the use of space-time permutation scan statistics (STPSS) to assess both the existence and the statistical significance of clusters on aggregated datasets. The investigated case study is represented from the Portuguese Rural Fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a7ae010f29d893ab9f3906432c1cc72
https://doi.org/10.1016/j.envsoft.2015.05.016
https://doi.org/10.1016/j.envsoft.2015.05.016
Publikováno v:
Physica A: Statistical Mechanics and its Applications
In many fields, the spatial clustering of sampled data points has significant consequences. Therefore, several indices have been proposed to assess the degree of clustering affecting datasets (e.g. the Morisita index, Ripley’s K -function and Renyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69f09e77524d15a7a4215ce85d395bcf
http://www.sciencedirect.com/science/article/pii/S0378437114002659
http://www.sciencedirect.com/science/article/pii/S0378437114002659
Publikováno v:
Cybergeo: European Journal of Geography [Online] Section: Systems Modelling Geostatistics
Scopus-Elsevier
Cybergeo (2015)
Scopus-Elsevier
Cybergeo (2015)
Fractal geometry is a fundamental approach for describing the complex irregularities of the spatial structure of point patterns. The present research characterizes the spatial structure of the Swiss population distribution in the three Swiss geograph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0d9a7219d8a50d425574f62c2cb8bfc
Publikováno v:
ACM Computing Surveys. Mar2023, Vol. 55 Issue 2, p1-38. 38p. 5 Diagrams, 5 Charts.
Publikováno v:
Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards; Sep2022, Vol. 16 Issue 3, p536-554, 19p
Autor:
Vega Orozco, Carmen1 CarmenDelia.VegaOrozco@unil.ch, Tonini, Marj1, Conedera, Marco2, Kanveski, Mikhail1
Publikováno v:
GeoInformatica. Oct2012, Vol. 16 Issue 4, p653-673. 21p. 3 Charts, 3 Graphs, 5 Maps.
Publikováno v:
Natural Hazards; Feb2017, Vol. 85 Issue 3, p1489-1510, 22p
Publikováno v:
Geophysical Research Abstracts; 2010, Vol. 12, p1-14649, 14649p