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Article

Danylo, O., Bun, R., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Charkovska, N. (2019). High-resolution spatial distribution of greenhouse gas emissions in the residential sector. Mitigation and Adaptation Strategies for Global Change 24 (6), 941-967. 10.1007/s11027-019-9846-z.

Charkovska, N., Halushchak, M., Bun, R., Nahorski, Z., Oda, T., Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145 & Topylko, P. (2019). A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling. Mitigation and Adaptation Strategies for Global Change 24, 907-939. 10.1007/s11027-018-9836-6.

Bun, R., Nahorski, Z., Horabik-Pyzel, J., Danylo, O., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Charkovska, N., Topylko, P., Halushchak, M., Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Valakh, M. & Kinakh, V. (2018). Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources. Mitigation and Adaptation Strategies for Global Change, 1-28. 10.1007/s11027-018-9791-2.

Charkovska, N., Horabik-Pyzel, J., Bun, R., Danylo, O., Nahorski, Z., Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145 & Xiangyang, X. (2018). High resolution spatial distribution and associated uncertainties of greenhouse gas emissions from the agricultural sector. Mitigation and Adaptation Strategies for Global Change 23, 1-25. 10.1007/s11027-017-9779-3.

Book Section

Danylo, O., Bun, R., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Topylko, P., Xu, X., Charkovska, N. & Tymków, P. (2015). Accounting uncertainty for spatial modeling of greenhouse gas emissions in the residential sector: fuel combustion and heat production. In: Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland. pp. 193-200 Warsaw, Poland: Systems Research Institute, Polish Academy of Sciences. ISBN 83-894-7557-X

Horabik-Pyzel, J., Charkovska, N., Danylo, O., Nahorski, Z. & Bun, R. (2015). Conditionally autoregressive model for spatial disaggregation of activity data in GHG inventory: Application for agriculture sector in Poland. In: Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland. pp. 25-31 Warsaw, Poland: Systems Research Institute, Polish Academy of Sciences. ISBN 83-894-7557-X

Charkovska, N., Halushchak, M., Bun, R. & Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145 (2015). Uncertainty analysis of GHG spatial inventory from the industrial activity. A case study for Poland. In: Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland. pp. 57-63 Warsaw, Poland: Systems Research Institute, Polish Academy of Sciences. ISBN 83-894-7557-X

Bun, R., Nahorski, Z., Horabik-Pyzel, J., Danylo, O., Charkovska, N., Topylko, P., Halushchak, M., Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342 & Striamets, O. (2015). High resolution spatial inventory of GHG emissions emissions from stationary and mobile sources in Poland: summarized results and uncertainty analysis. In: Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland. pp. 41-48 Warsaw, Poland: Systems Research Institute, Polish Academy of Sciences. ISBN 83-894-7557-X

Book

Charkovska, N., Danylo, O., Topylko, P., Halushchak, M., Nahorski, Z. & Horabik-Pyzal, J. (2016). Spatial modeling of greenhouse gas emissions from stationary sources. Ukraine: PP Soroka T.B.. ISBN 978-966-2598-74-2

Data

Danylo, O., Bun, R., See, . ORCID: https://orcid.org/0000-0002-2665-7065 & Charkovska, N. (2019). High resolution spatial distribution of greenhouse gas emissions in the residential sector.