TY - GEN A1 - Horabik-Pyzel, Joanna A1 - Nahorski, Zbigniew (1945– ) PB - Instytut Badań Systemowych. Polska Akademia Nauk PB - Systems Research Institute. Polish Academy of Sciences N1 - 16 pages ; 21 cm N1 - Bibliography p. 15-16 N2 - In the paper, linear regression with spatial random effect was used to model geographically distributed emission inventory data. The study presented is on N2O emission assessments for municipalities of southern Norway and on activities related to emissions (proxy data). Taking advantage of spatial dimension of the emission process, the method proposed is intended to improve inventory extension beyond its earlier coverage. For this, the proxy data are used. The conditional au­toregressive model is used to account for spatial correlation between municipalities. Parameter estimation is based on the maximum likelihood method and the optimal predictor is developed. The results indicate that inclusion of a spatial dependence component lead to improvement in both representation of the observed data set and prediction. L1 - http://www.rcin.org.pl/Content/109553/PDF/RB-2009-03.pdf M3 - Text CY - Warszawa J2 - Raport Badawczy = Research Report ; RB/3/2009 PY - 2009 KW - Rozproszone geograficznie wykazy emisji KW - Modele warunkowo autoregresyjne KW - Prognoza przestrzenna KW - Geographically distributed emission inventories KW - Conditionally autoregressive models KW - Spatial prediction T1 - A Statistical Model for Spatial Inventory Data: a Case Study of N2O Emissions in Municipalities of Southern Norway UR - http://www.rcin.org.pl/dlibra/publication/edition/109553 ER -