{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T17:27:26Z","timestamp":1649006846315},"reference-count":10,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,12,23]],"date-time":"2015-12-23T00:00:00Z","timestamp":1450828800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Methods Appl"],"published-print":{"date-parts":[[2016,3]]},"DOI":"10.1007\/s10260-015-0347-2","type":"journal-article","created":{"date-parts":[[2015,12,23]],"date-time":"2015-12-23T19:49:39Z","timestamp":1450900179000},"page":"1-4","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Advanced methods for space\u2013time environmental data"],"prefix":"10.1007","volume":"25","author":[{"given":"Alessandro","family":"Fass\u00f2","sequence":"first","affiliation":[]},{"given":"Abdel","family":"El-Shaarawi","sequence":"additional","affiliation":[]},{"given":"Maria Giovanna","family":"Ranalli","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,12,23]]},"reference":[{"key":"347_CR1","author":"D Ambach","year":"2015","unstructured":"Ambach D, Croonenbroeck C (2015) Space-time short- to medium-term wind speed forecasting. Stat Methods Appl. doi: 10.1007\/s10260-015-0343-6","journal-title":"Stat Methods Appl"},{"key":"347_CR2","author":"M Bevilacqua","year":"2015","unstructured":"Bevilacqua M, Fass\u00f2 A, Gaetan C, Porcu E, Velandia D (2015) Covariance tapering for multivariate Gaussian random fields estimation. Stat Methods Appl. doi: 10.1007\/s10260-015-0338-3","journal-title":"Stat Methods Appl"},{"key":"347_CR3","author":"M Bohhorquez","year":"2015","unstructured":"Bohhorquez M, Giraldo R, Mateu J (2015) Optimal sampling for spatial prediction of functional data. Stat Methods Appl. doi: 10.1007\/s10260-015-0340-9","journal-title":"Stat Methods Appl"},{"key":"347_CR4","author":"H Boojari","year":"2015","unstructured":"Boojari H, Khaledi MJ, Rivaz F (2015) A non-homogeneous skew-Gaussian Bayesian spatial model. Stat Methods Appl. doi: 10.1007\/s10260-015-0331-x","journal-title":"Stat Methods Appl"},{"key":"347_CR5","author":"F Bruno","year":"2015","unstructured":"Bruno F, Fedele G, Ventrucci M (2015) Non-parametric regression on compositional covariates using Bayesian P-splines. Stat Methods Appl. doi: 10.1007\/s10260-015-0339-2","journal-title":"Stat Methods Appl"},{"key":"347_CR6","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.5194\/amt-7-1803-2014","volume":"7","author":"A Fass\u00f2","year":"2014","unstructured":"Fass\u00f2 A, Ignaccolo R, Madonna F, Demoz B, Franco-Villoria M (2014) Statistical modelling of collocation uncertainty in atmospheric thermodynamic profiles. Atmos Meas Tech 7:1803\u20131816","journal-title":"Atmos Meas Tech"},{"key":"347_CR7","author":"BR Gray","year":"2015","unstructured":"Gray BR, Lyubchich V, Gel YR, Rogala JT, Robertson DM, Wei X (2015) Estimation of river and stream temperature trends under haphazard sampling. Stat Methods Appl. doi: 10.1007\/s10260-015-0334-7","journal-title":"Stat Methods Appl"},{"key":"347_CR8","author":"Piairo H Menezes","year":"2015","unstructured":"Menezes Piairo H, Garcia-Soidan P, Sousa I (2015) Spatial-temporal modellization of the $$\\text{ NO }_2$$ NO 2 concentration data through geostatistical tools. Stat Methods Appl. doi: 10.1007\/s10260-015-0346-3","journal-title":"Stat Methods Appl"},{"key":"347_CR9","author":"MD Ruiz-Medina","year":"2015","unstructured":"Ruiz-Medina MD, Angulo JM, Christakos G, Fern\u00e1ndez-Pascual R (2015) New compactly supported spatiotemporal covariance functions from SPDEs. Stat Methods Appl. doi: 10.1007\/s10260-015-0333-8","journal-title":"Stat Methods Appl"},{"key":"347_CR10","author":"P Vetter","year":"2015","unstructured":"Vetter P, Schmid W, Schwarze R (2015) Spatio-temporal statistical analysis of the carbon budget of the terrestrial ecosystem. Stat Methods Appl. doi: 10.1007\/s10260-015-0342-7","journal-title":"Stat Methods Appl"}],"container-title":["Statistical Methods &amp; Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10260-015-0347-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10260-015-0347-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10260-015-0347-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T11:46:39Z","timestamp":1559130399000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10260-015-0347-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,23]]},"references-count":10,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,3]]}},"alternative-id":["347"],"URL":"https:\/\/doi.org\/10.1007\/s10260-015-0347-2","relation":{},"ISSN":["1618-2510","1613-981X"],"issn-type":[{"value":"1618-2510","type":"print"},{"value":"1613-981X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12,23]]}}}