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RCIN and OZwRCIN projects

Object

Title: Techniki informacyjne teoria i zastosowania * Wybrane problemy * Spatial disaggregation of air pollution data with conditional autoagressive model

Creator:

Horabik-Pyzel, Joanna

Date issued/created:

2013

Resource type:

Text

Subtitle:

Książka = Book ; KS/5/2013/15/P03

Publisher:

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

Place of publishing:

Warszawa

Description:

[2],39-53 pages ; 21 cm ; Bibliography p. 52

Type of object:

Book/Chapter

Abstract:

The purpose of this study is to develop a method for allocating pollutant concentrations to finer spatial scales conditional on covariate information observable in a fine grid. Spatial dependence is modeled with the conditional autoregressive structure. The maximum likelihood approach to inference is employed, and the optimal predictors are developed to assess missing concentrations in a fine grid. The method is developed for a practical application of an output from the dispersion model CALPUFF run for Warsaw agglomeration.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:217804

Source:

KS-2013-05-15-P03

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:

Oct 19, 2021

Number of object content downloads / hits:

24

All available object's versions:

https://rcin.org.pl./publication/255409

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