000077258 001__ 77258
000077258 005__ 20200221144314.0
000077258 0247_ $$2doi$$a10.1080/13658816.2016.1155712
000077258 0248_ $$2sideral$$a95016
000077258 037__ $$aART-2016-95016
000077258 041__ $$aeng
000077258 100__ $$0(orcid)0000-0001-5333-2285$$aPeña-Angulo, D.$$uUniversidad de Zaragoza
000077258 245__ $$aA new climatology of maximum and minimum temperature (1951–2010) in the Spanish mainland: a comparison between three different interpolation methods
000077258 260__ $$c2016
000077258 5060_ $$aAccess copy available to the general public$$fUnrestricted
000077258 5203_ $$aThis study presents a new climatology of monthly temperature for mainland Spain (1951–2010), performed with the highest quality and spatially dense, up-to-date monthly temperature dataset available in the study area (MOTEDAS). Three different interpolation techniques were evaluated: the Local Weighted Linear Regression (LWLR), the Regression-Kriging (RK) and the Regression-Kriging with stepwise selection (RKS), a modification of RK. The performances of the different models were evaluated by the leave-one-out validation procedure, comparing the results from the models with the original data and calculating different error measurements. The three techniques performed better for Tmax than for Tmin, and for the cold, rather than warmer months, also at lower altitude than highland areas. The best results were achieved with LWLR applied for the first time on temperatures in the Spanish mainland. This method improved the accuracy of the temperature reconstruction with respect to RK and RKS. We present a collection of Tmax and Tmin monthly charts, using the same temperature legend to prevent any visual bias in the interpretation of the results. The dataset is available upon request.
000077258 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/H38$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27574-C02-01$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2014-52135-C3-3-R
000077258 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000077258 590__ $$a2.502$$b2016
000077258 591__ $$aGEOGRAPHY$$b14 / 78 = 0.179$$c2016$$dQ1$$eT1
000077258 591__ $$aINFORMATION SCIENCE & LIBRARY SCIENCE$$b15 / 85 = 0.176$$c2016$$dQ1$$eT1
000077258 591__ $$aGEOGRAPHY, PHYSICAL$$b19 / 49 = 0.388$$c2016$$dQ2$$eT2
000077258 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b46 / 146 = 0.315$$c2016$$dQ2$$eT1
000077258 592__ $$a1.149$$b2016
000077258 593__ $$aGeography, Planning and Development$$c2016$$dQ1
000077258 593__ $$aLibrary and Information Sciences$$c2016$$dQ1
000077258 593__ $$aInformation Systems$$c2016$$dQ1
000077258 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000077258 700__ $$aBrunetti, M.
000077258 700__ $$aCortesi, N.
000077258 700__ $$0(orcid)0000-0002-8518-9177$$aGonzalez-Hidalgo, J.$$uUniversidad de Zaragoza
000077258 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000077258 773__ $$g30, 11 (2016), 2109-2132$$pInt. j. geogr. inf. sci.$$tINTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE$$x1365-8816
000077258 8564_ $$s857306$$uhttps://zaguan.unizar.es/record/77258/files/texto_completo.pdf$$yPostprint
000077258 8564_ $$s29338$$uhttps://zaguan.unizar.es/record/77258/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000077258 909CO $$ooai:zaguan.unizar.es:77258$$particulos$$pdriver
000077258 951__ $$a2020-02-21-13:38:44
000077258 980__ $$aARTICLE