RCIN and OZwRCIN projects

Object

Title: Bayesian Spatial Model for Analysis of Emission Inventory Data

Creator:

Horabik-Pyzel, Joanna ; Nahorski, Zbigniew (1945– )

Date issued/created:

2007

Resource type:

Text

Subtitle:

Raport Badawczy = Research Report ; RB/51/2007

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

11 pages ; 21 cm ; Bibliography p. 6-7

Abstract:

This paper aims to contribute to comparing gridded inventories of atmospheric emissions with different resolution. A hierarchical Bayesian model with high resolution emission assessments treated as dependent variable, and spatially explicit activity data treated as covariates is proposed. The results of the example suggest excluding from further analysis two initially considered covariates, and indicate existence of another spatially correlated factor. The point of the contribution is that including spacial scale helps to improve emission inventories.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

Report

Resource Identifier:

oai:rcin.org.pl:109532

Source:

RB-2007-51

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open

Object collections:

Last modified:

Oct 19, 2021

In our library since:

Jan 27, 2020

Number of object content downloads / hits:

32

All available object's versions:

https://www.rcin.org.pl/publication/137558

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