Solving the general map overlay problem using a fuzzy inference system designed for spatial disaggregation
Author
Abstract
Suggested Citation
DOI: 10.1007/s11027-018-9823-y
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Khrystyna Boychuk & Rostyslav Bun, 2014. "Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty," Climatic Change, Springer, vol. 124(3), pages 561-574, June.
- Gotway C.A. & Young L.J., 2002. "Combining Incompatible Spatial Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 632-648, June.
- Matthias Jonas & Gregg Marland & Volker Krey & Fabian Wagner & Zbigniew Nahorski, 2014. "Uncertainty in an emissions-constrained world," Climatic Change, Springer, vol. 124(3), pages 459-476, June.
- Jörg Verstraete, 2014. "Solving the map overlay problem with a fuzzy approach," Climatic Change, Springer, vol. 124(3), pages 591-604, June.
- Maya G. Hutchins & Jeffrey D. Colby & Gregg Marland & Eric Marland, 2017. "A comparison of five high-resolution spatially-explicit, fossil-fuel, carbon dioxide emission inventories for the United States," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(6), pages 947-972, August.
- Olgierd Hryniewicz & Zbigniew Nahorski & Jörg Verstraete & Joanna Horabik & Matthias Jonas, 2014. "Compliance for uncertain inventories via probabilistic/fuzzy comparison of alternatives," Climatic Change, Springer, vol. 124(3), pages 519-534, June.
- Joanna Horabik & Zbigniew Nahorski, 2014. "Improving resolution of a spatial air pollution inventory with a statistical inference approach," Climatic Change, Springer, vol. 124(3), pages 575-589, June.
- Peter Rafaj & Markus Amann & José Siri & Henning Wuester, 2014. "Changes in European greenhouse gas and air pollutant emissions 1960–2010: decomposition of determining factors," Climatic Change, Springer, vol. 124(3), pages 477-504, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Rostyslav Bun & Zbigniew Nahorski & Joanna Horabik-Pyzel & Olha Danylo & Linda See & Nadiia Charkovska & Petro Topylko & Mariia Halushchak & Myroslava Lesiv & Mariia Valakh & Vitaliy Kinakh, 2019. "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, Springer, vol. 24(6), pages 853-880, August.
- Nadiia Charkovska & Mariia Halushchak & Rostyslav Bun & Zbigniew Nahorski & Tomohiro Oda & Matthias Jonas & Petro Topylko, 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, Springer, vol. 24(6), pages 907-939, August.
- Khrystyna Boychuk & Rostyslav Bun, 2014. "Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty," Climatic Change, Springer, vol. 124(3), pages 561-574, June.
- Nadiia Charkovska & Joanna Horabik-Pyzel & Rostyslav Bun & Olha Danylo & Zbigniew Nahorski & Matthias Jonas & Xu Xiangyang, 2019. "High-resolution spatial distribution and associated uncertainties of greenhouse gas emissions from the agricultural sector," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 881-905, August.
- Tomohiro Oda & Rostyslav Bun & Vitaliy Kinakh & Petro Topylko & Mariia Halushchak & Gregg Marland & Thomas Lauvaux & Matthias Jonas & Shamil Maksyutov & Zbigniew Nahorski & Myroslava Lesiv & Olha Dany, 2019. "Errors and uncertainties in a gridded carbon dioxide emissions inventory," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1007-1050, August.
- Peter Rafaj & Markus Amann, 2018. "Decomposing Air Pollutant Emissions in Asia: Determinants and Projections," Energies, MDPI, vol. 11(5), pages 1-14, May.
- KURKALOVA, Lyubov A. & WADE, Tara R., 2013. "Aggregated Choice Data And Logit Models: Application To Environmental Benign Practices Of Conservation Tillage By Farmers In The State Of Iowa," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 119-128.
- Jörg Verstraete, 2014. "Solving the map overlay problem with a fuzzy approach," Climatic Change, Springer, vol. 124(3), pages 591-604, June.
- Boris A. Portnov, 2011. "The Change of Support Problem (COSP) and its Implications for Urban Analysis: Some Evidence from a Study of the European Urban System," ERSA conference papers ersa10p106, European Regional Science Association.
- Riccardo Borgoni & Piero Quatto & Giorgio Somà & Daniela Bartolo, 2010. "A geostatistical approach to define guidelines for radon prone area identification," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 255-276, June.
- Reynal-Querol, Marta & GarcÃa-Montalvo, José, 2017. "Ethnic Diversity and Growth: Revisiting the Evidence," CEPR Discussion Papers 12400, C.E.P.R. Discussion Papers.
- Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2017.
"R&D policy regimes in France: New evidence from a spatio-temporal analysis,"
Working Papers
hal-01559041, HAL.
- Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2017. "R&D Policy regimes in France: New Evidence from a spatio-temporal Analysis," GREDEG Working Papers 2017-22, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Montmartin, B. & Herrera, M. & Massard, N., 2017. "R&D policy regimes in France: New evidence from spatio-temporal analysis," Working Papers 2017-06, Grenoble Applied Economics Laboratory (GAEL).
- Montmartin, B. & Herrera, M. & Massard, N., 2015.
"R&D policies in France: New evidence from a NUTS3 spatial analysis,"
Working Papers
2015-11, Grenoble Applied Economics Laboratory (GAEL).
- Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2015. "R&D Policies in France: New Evidence from a NUTS3 Spatial Analysis," GREDEG Working Papers 2015-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Burger, M.J. & van Oort, F.G. & van der Knaap, G.A., 2008. "A Treatise on the Geographical Scale of Agglomeration Externalities and the Modifiable Areal Unit Problem," ERIM Report Series Research in Management ERS-2008-076-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
- Joana Portugal-Pereira & Alexandre Koberle & André F. P. Lucena & Pedro R. R. Rochedo & Mariana Império & Ana Monteiro Carsalade & Roberto Schaeffer & Peter Rafaj, 2018. "Interactions between global climate change strategies and local air pollution: lessons learnt from the expansion of the power sector in Brazil," Climatic Change, Springer, vol. 148(1), pages 293-309, May.
- Chen, Zhuo & Gotway Crawford, Carol A., 2012. "The role of geographic scale in testing the income inequality hypothesis as an explanation of health disparities," Social Science & Medicine, Elsevier, vol. 75(6), pages 1022-1031.
- Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Spatial scale in land use models: application to the Teruti-Lucas survey," TSE Working Papers 16-667, Toulouse School of Economics (TSE).
- Chen, Zhuo & Roy, Kakoli & Haddix, Anne C. & Thacker, Stephen B., 2010. "Factors associated with differences in mortality and self-reported health across states in the United States," Health Policy, Elsevier, vol. 94(3), pages 203-210, March.
- Kazuyuki Miyazaki & Kevin Bowman, 2023. "Predictability of fossil fuel CO2 from air quality emissions," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Roger Bivand, 2017. "Revisiting the Boston data set - Changing the units of observation affects estimated willingness to pay for clean air," REGION, European Regional Science Association, vol. 4, pages 109-127.
More about this item
Keywords
Fuzzy inference system; Fuzzy spatial reasoning; Map overlay problem; Gridded data; Ill-aligned grids;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:masfgc:v:24:y:2019:i:6:d:10.1007_s11027-018-9823-y. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.