{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T11:34:25Z","timestamp":1771068865013,"version":"3.50.1"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,9,30]],"date-time":"2015-09-30T00:00:00Z","timestamp":1443571200000},"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\/s10260-015-0340-9","type":"journal-article","created":{"date-parts":[[2015,9,30]],"date-time":"2015-09-30T06:52:46Z","timestamp":1443595966000},"page":"39-54","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Optimal sampling for spatial prediction of functional data"],"prefix":"10.1007","volume":"25","author":[{"given":"Martha","family":"Bohorquez","sequence":"first","affiliation":[]},{"given":"Ram\u00f3n","family":"Giraldo","sequence":"additional","affiliation":[]},{"given":"Jorge","family":"Mateu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,9,30]]},"reference":[{"issue":"6","key":"340_CR1","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1007\/PL00009784","volume":"14","author":"J Angulo","year":"2000","unstructured":"Angulo J, Bueso M, Alonso F (2000) A study on sampling design for optimal prediction of space\u2013time stochastic processes. Stoch Environ Res Risk Assess 14(6):412\u2013427","journal-title":"Stoch Environ Res Risk Assess"},{"issue":"4","key":"340_CR2","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1007\/s00477-013-0797-8","volume":"28","author":"M Bohorquez","year":"2014","unstructured":"Bohorquez M, Mateu J, Diaz L (2014) A note on smoothness measures for space\u2013time surfaces. Stoch Environ Res Risk Assess 28(4):1011\u20131022","journal-title":"Stoch Environ Res Risk Assess"},{"key":"340_CR3","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-1154-9","volume-title":"Linear processes in function spaces: theory and applications","author":"D Bosq","year":"2000","unstructured":"Bosq D (2000) Linear processes in function spaces: theory and applications, vol 149. Springer, Berlin"},{"issue":"2","key":"340_CR4","doi-asserted-by":"crossref","first-page":"241","DOI":"10.2307\/2348448","volume":"44","author":"S Brooks","year":"1995","unstructured":"Brooks S, Morgan B (1995) Optimization using simulated annealing. Statistician 44(2):241\u2013257","journal-title":"Statistician"},{"issue":"4","key":"340_CR5","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/0167-7152(84)90020-8","volume":"2","author":"W Caselton","year":"1984","unstructured":"Caselton W, Zidek J (1984) Optimal monitoring network designs. Stat Probab Lett 2(4):223\u2013227","journal-title":"Stat Probab Lett"},{"key":"340_CR6","volume-title":"Nonparametric functional data analysis: theory and practice","author":"F Ferraty","year":"2006","unstructured":"Ferraty F, Vieu P (2006) Nonparametric functional data analysis: theory and practice. Springer, Berlin"},{"key":"340_CR7","first-page":"1","volume":"2","author":"R Giraldo","year":"2014","unstructured":"Giraldo R (2014) Cokriging based on curves, prediction and estimation of the prediction variance. InterStat 2:1\u201330","journal-title":"InterStat"},{"issue":"1","key":"340_CR8","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1007\/s13253-009-0012-z","volume":"15","author":"R Giraldo","year":"2010","unstructured":"Giraldo R, Delicado P, Mateu J (2010) Continuous time-varying kriging for spatial prediction of functional data: an environmental application. J Agric Biol Environ Stat 15(1):66\u201382","journal-title":"J Agric Biol Environ Stat"},{"issue":"3","key":"340_CR9","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/s10651-010-0143-y","volume":"18","author":"R Giraldo","year":"2011","unstructured":"Giraldo R, Delicado P, Mateu J (2011) Ordinary kriging for function-valued spatial data. Environ Ecol Stat 18(3):411\u2013426","journal-title":"Environ Ecol Stat"},{"key":"340_CR10","doi-asserted-by":"crossref","DOI":"10.1002\/9780470057339.vnn051","volume-title":"Kriging for functional data","author":"R Giraldo","year":"2013","unstructured":"Giraldo R, Mateu J (2013) Kriging for functional data. Wiley, Hoboken"},{"key":"340_CR11","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1007\/978-94-011-1739-5_64","volume-title":"Geostatistics Tr\u00f3ia\u201992","author":"M Goulard","year":"1993","unstructured":"Goulard M, Voltz M (1993) Geostatistical interpolation of curves: a case study in soil science. In: Soares A (ed) Geostatistics Tr\u00f3ia\u201992, vol 2. Springer, Berlin, pp 805\u2013816"},{"issue":"419","key":"340_CR12","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1080\/01621459.1992.10475274","volume":"87","author":"DA Harville","year":"1992","unstructured":"Harville DA, Jeske DR (1992) Mean squared error of estimation or prediction under a general linear model. J Am Stat Assoc 87(419):724\u2013731","journal-title":"J Am Stat Assoc"},{"key":"340_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4614-3655-3","volume-title":"Inference for functional data with applications","author":"L Horvath","year":"2012","unstructured":"Horvath L, Kokoszka P (2012) Inference for functional data with applications. Springer, Berlin"},{"issue":"2","key":"340_CR14","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s10260-015-0297-8","volume":"24","author":"M Hubert","year":"2015","unstructured":"Hubert M, Rousseeuw P, Segaert P (2015) Multivariate functional outlier detection. Stat Methods Appl 24(2):177\u2013202","journal-title":"Stat Methods Appl"},{"issue":"1","key":"340_CR15","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s10651-012-0210-7","volume":"20","author":"R Ignaccolo","year":"2013","unstructured":"Ignaccolo R, Ghigo S, Bande S (2013) Functional zoning for air quality. Environ Ecol Stat 20(1):109\u2013127","journal-title":"Environ Ecol Stat"},{"issue":"5","key":"340_CR16","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1007\/s00477-013-0806-y","volume":"28","author":"R Ignaccolo","year":"2014","unstructured":"Ignaccolo R, Mateu J, Giraldo R (2014) Kriging with external drift for functional data for air quality monitoring. Stoch Environ Res Risk Assess 28(5):1171\u20131186","journal-title":"Stoch Environ Res Risk Assess"},{"key":"340_CR17","volume-title":"Statistical analysis of environmental space\u2013time processes","author":"N Le","year":"2006","unstructured":"Le N, Zidek J (2006) Statistical analysis of environmental space\u2013time processes. Springer, Berlin"},{"key":"340_CR18","volume-title":"Collecting spatial data: optimum design of experiments for random fields","author":"W M\u00fcller","year":"2007","unstructured":"M\u00fcller W (2007) Collecting spatial data: optimum design of experiments for random fields. Springer, Berlin"},{"issue":"3","key":"340_CR19","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/BF01032887","volume":"14","author":"D Myers","year":"1982","unstructured":"Myers D (1982) Matrix formulation of co-kriging. Math Geol 14(3):249\u2013257","journal-title":"Math Geol"},{"issue":"2","key":"340_CR20","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.jmva.2009.03.005","volume":"101","author":"D Nerini","year":"2010","unstructured":"Nerini D, Monestiez P, Mant\u00e9 C (2010) Cokriging for spatial functional data. J Multivar Anal 101(2):409\u2013418","journal-title":"J Multivar Anal"},{"key":"340_CR21","doi-asserted-by":"crossref","DOI":"10.1002\/0470013192.bsa239","volume-title":"Functional data analysis","author":"J Ramsay","year":"2005","unstructured":"Ramsay J, Silverman B (2005) Functional data analysis. Springer, New York"},{"key":"340_CR22","volume-title":"Statistical methods for spatial data analysis","author":"O Schabenberger","year":"2004","unstructured":"Schabenberger O, Gotway C (2004) Statistical methods for spatial data analysis. CRC Press, Boca Raton"},{"issue":"2","key":"340_CR23","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/s10260-014-0294-3","volume":"24","author":"P Secchi","year":"2015","unstructured":"Secchi P, Vantini S, Vitelli V (2015) Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of milan. Stat Methods Appl 24(2):279\u2013300","journal-title":"Stat Methods Appl"},{"key":"340_CR24","unstructured":"Secretaria Distrital de Ambiente de Bogot\u00e1 (SDA) (2015) Informe anual de calidad del aire de bogot\u00e1 2014. Alcald\u00eda Mayor de Bogot\u00e1. http:\/\/201.245.192.252:81\/"},{"key":"340_CR25","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-03550-4","volume-title":"Multivariate geostatistics: an introduction with applications","author":"H Wackernagel","year":"1998","unstructured":"Wackernagel H (1998) Multivariate geostatistics: an introduction with applications. Springer, Berlin"},{"issue":"1","key":"340_CR26","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1198\/108571106X99751","volume":"11","author":"Z Zhu","year":"2006","unstructured":"Zhu Z, Stein M (2006) Spatial sampling design for prediction with estimated parameters. J Agric Biol Environ Stat 11(1):24\u201344","journal-title":"J Agric Biol Environ Stat"},{"issue":"6","key":"340_CR27","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1002\/env.769","volume":"17","author":"D Zimmerman","year":"2006","unstructured":"Zimmerman D (2006) Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction. Environmetrics 17(6):635\u2013652","journal-title":"Environmetrics"}],"container-title":["Statistical Methods &amp; Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10260-015-0340-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10260-015-0340-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10260-015-0340-9","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\/s10260-015-0340-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,30]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,3]]}},"alternative-id":["340"],"URL":"https:\/\/doi.org\/10.1007\/s10260-015-0340-9","relation":{},"ISSN":["1618-2510","1613-981X"],"issn-type":[{"value":"1618-2510","type":"print"},{"value":"1613-981X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9,30]]}}}