Quantitative Methods in Environmental and Climate Research

This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty source...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Cameletti, Michela (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Finazzi, Francesco (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Quantitative Methods in Environmental and Climate Research  |h [electronic resource] /  |c edited by Michela Cameletti, Francesco Finazzi. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a VII, 136 p. 30 illus., 23 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 1 Fast Bayesian classification for disease mapping and the detection of disease clusters -- 2 A Novel Hierarchical Multinomial Approach to Modelling Age-specific Harvest Data -- 3 Detection of change points in spatiotemporal data in presence of outliers and heavy-tailed observations -- 4 Modelling spatiotemporal mismatch for Aerosol profiles -- 5 A SPATIOTEMPORAL APPROACH FOR PREDICTING WIND SPEED ALONG THE COAST OF VALPARAISO, CHILE -- 6 Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998-2016 -- 7 A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data. 
520 |a This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data. . 
650 0 |a Statistics . 
650 0 |a Ecology . 
650 0 |a Climate change. 
650 0 |a Environmental monitoring. 
650 1 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.  |0 http://scigraph.springernature.com/things/product-market-codes/S17020 
650 2 4 |a Theoretical Ecology/Statistics.  |0 http://scigraph.springernature.com/things/product-market-codes/L19147 
650 2 4 |a Climate Change.  |0 http://scigraph.springernature.com/things/product-market-codes/U12007 
650 2 4 |a Statistical Theory and Methods.  |0 http://scigraph.springernature.com/things/product-market-codes/S11001 
650 2 4 |a Climate Change/Climate Change Impacts.  |0 http://scigraph.springernature.com/things/product-market-codes/313000 
650 2 4 |a Monitoring/Environmental Analysis.  |0 http://scigraph.springernature.com/things/product-market-codes/U1400X 
700 1 |a Cameletti, Michela.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Finazzi, Francesco.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783030015831 
776 0 8 |i Printed edition:  |z 9783030015855 
856 4 0 |u https://doi.org/10.1007/978-3-030-01584-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)