Show simple item record

2012-11-12Masterarbeit DOI: 10.18452/14178
Flexible spatial models on the example of temperature in China
dc.contributor.authorTetereva, Anastasija
dc.date.accessioned2017-06-18T02:35:26Z
dc.date.available2017-06-18T02:35:26Z
dc.date.created2012-11-19
dc.date.issued2012-11-12
dc.identifier.urihttp://edoc.hu-berlin.de/18452/14830
dc.description.abstractSpatial modeling of temperature is of crucial importance for agriculture, industry and ecology. This work presents interpolation methods for the daily average temperature in China in the time period from 1957 to 2009. Due to complex topography and diverse climate of the country flexibility of the spatial models is of great importance. This study attempts to develop techniques which are able to minimize the spatial prediction error and to capture temperature extremes. The current research extends copula-based interpolation method and proposes the innovative IDW-GEV model. Spatial regression, kriging and inverse distance interpolation are used as a benchmark to evaluate the performance of suggested techniques.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectcopulaeng
dc.subjectinterpolationeng
dc.subjectkrigingeng
dc.subjectinverse distance interpolationeng
dc.subjectgeneralized extreme value distributioneng
dc.subject.ddc330 Wirtschaft
dc.titleFlexible spatial models on the example of temperature in China
dc.typemasterThesis
dc.identifier.urnurn:nbn:de:kobv:11-100205811
dc.identifier.doihttp://dx.doi.org/10.18452/14178
dc.identifier.alephidBV040549077
dc.contributor.refereeOkhrin, Ostap
dc.contributor.refereeHärdle, Wolfgang Karl
local.edoc.pages61
local.edoc.type-nameMasterarbeit
local.edoc.institutionWirtschaftswissenschaftliche Fakultät

Show simple item record