80
R. Bruggemann et al.
Carlsen, L. (2008b). Partial ordering and prioritising polluted sites. In M. Pavan & R. Todeschini
(Eds.), Data handling in science and technology (Vol. 27, pp. 97–109). Elsevier B.V.
Carlsen, L. (2013). Assessing chemicals using partial order ranking methodology. Advances in
Combinational Chemistry & High Throughput Screening, 1, 3–35.
Carlsen, L. (2018). Happiness as a sustainability factor. The world happiness index: A posetic –
based data analysis. Sustainability Science, 13, 549–571.
Carlsen, L., & Bruggemann, R. (2011). Risk assessment of chemicals in the river Main (Germany):
Application of selected partial order ranking tools. Statistica & Applicazioni, Special Issue,
2011, 125–140.
Carlsen, L., & Bruggemann, R. (2014a). Partial order methodology: A valuable tool in chemometrics. Journal of Chemometrics, 28, 226–234.
Carlsen, L., & Bruggemann, R. (2014b). An analysis of the “failed states index” by partial order
methodology. Journal of Social Structure, 14, 1–31.
Davey, B. A., & Priestley, H. A. (1990). Introduction to lattices and order. Cambridge: Cambridge
University Press.
De Loof, K., De Meyer, H., & De Baets, B. (2006). Exploiting the lattice of ideals representation
of a poset. Fundamenta Informaticae, 71, 309–321.
De Loof, K., De Baets, B., & De Meyer, H. (2011). Approximation of average ranks in posets.
MATCH Communications in Mathematical and in Computer Chemistry, 66, 219–229.
De Loof, K., Rademaker, M., Bruggemann, R., De Meyer, H., Restrepo, G., & De Baets, B. (2012).
Order theoretical tools to support risk assessment of chemicals. MATCH Communications in
Mathematical and in Computer Chemistry, 67, 213–230.
Demiray, A. D., Yolcubal, I., Akyol, N. H., & Cobanoglu, G. (2012). Biomonitoring of airborne
metals using the lichen Xanthoria parietina in Kocaeli Province, Turkey. Ecological Indicators,
18, 632–643.
Fattore, M., & Maggino, F. (2014). Partial orders in socio-economics. A practical challenge for
poset theorists or a cultural challenge for social scientists? In R. Bruggemann, L. Carlsen, & J.
Wittmann (Eds.), Multi-indicator systems and modelling in partial order (pp. 197–214). New
York: Springer.
Fattore, M., Arcagni, A., & Maggino, F. (2019). Optimal scoring of partially ordered data, with
an application to the ranking of smart cities. Smart Statistics for Smart Applications Book of
Short Papers SIS 2019 – ISBN 9788891915108.
Ferretti, M., Innes, J. L., Jalkanen, R., Saurer, M., Schäffer, J., Spiecker, H., & von Wilpert,
K. (2002). Air pollution and environmental chemistry–what role for tree-ring studies? Dendrochronologia, 20, 159–174.
Frati, L., Caprasecca, E., Santoni, S., Gaggi, C., Guttova, A., Gaudino, S., Pati, A., Rosamilia, S.,
Pirintsos, S. A., & Loppi, S. (2006). Effects of NO 2 and NH 3 from road traffic on epiphytic
lichens. Environmental Pollution, 142(1), 58–64.
Galassi, S., Provini, A., & Halfon, E. (1996). Risk assessment for pesticides and their metabolites
in water. International Journal of Environmental Analytical Chemistry, 65, 331–344.
Grisoni, F., Consonni, V., Nembri, S., & Todeschini, R. (2015). How to weight Hasse matrices and
reduce incomparabilities. Chemometrics and Intelligent Laboratory Systems, 147, 95–104.
Grönlund, S. E. (2019). Indicators and methods to assess sustainability of wastewater sludge
management in the perspective of two systems ecology models. Ecological Indicators, 100,
45–54.
Halfon, E., & Reggiani, M. G. (1986). On ranking chemicals for environmental hazard. Environmental Science & Technology, 20, 1173–1179.
Hasse, H. (1967). Vorlesungen über Klassenkörpertheorie. Marburg: Physica-Verlag.
Helm, D. (2003). Bewertung von Monitoringdaten der Umweltprobenbank des Bundes mit der
Hasse-Diagramm-Technik. UWSF – Z Umweltchem Ökotox, 15, 85–94.
Jin, C., Nan, Z., Wang, H., & Jin, P. (2017). Plant growth and heavy metal bioavailability changes
in a loess subsoil amended with municipal sludge compost. Journal of Soils and Sediments, 17,
2797–2809.
R. Bruggemann et al.
Carlsen, L. (2008b). Partial ordering and prioritising polluted sites. In M. Pavan & R. Todeschini
(Eds.), Data handling in science and technology (Vol. 27, pp. 97–109). Elsevier B.V.
Carlsen, L. (2013). Assessing chemicals using partial order ranking methodology. Advances in
Combinational Chemistry & High Throughput Screening, 1, 3–35.
Carlsen, L. (2018). Happiness as a sustainability factor. The world happiness index: A posetic –
based data analysis. Sustainability Science, 13, 549–571.
Carlsen, L., & Bruggemann, R. (2011). Risk assessment of chemicals in the river Main (Germany):
Application of selected partial order ranking tools. Statistica & Applicazioni, Special Issue,
2011, 125–140.
Carlsen, L., & Bruggemann, R. (2014a). Partial order methodology: A valuable tool in chemometrics. Journal of Chemometrics, 28, 226–234.
Carlsen, L., & Bruggemann, R. (2014b). An analysis of the “failed states index” by partial order
methodology. Journal of Social Structure, 14, 1–31.
Davey, B. A., & Priestley, H. A. (1990). Introduction to lattices and order. Cambridge: Cambridge
University Press.
De Loof, K., De Meyer, H., & De Baets, B. (2006). Exploiting the lattice of ideals representation
of a poset. Fundamenta Informaticae, 71, 309–321.
De Loof, K., De Baets, B., & De Meyer, H. (2011). Approximation of average ranks in posets.
MATCH Communications in Mathematical and in Computer Chemistry, 66, 219–229.
De Loof, K., Rademaker, M., Bruggemann, R., De Meyer, H., Restrepo, G., & De Baets, B. (2012).
Order theoretical tools to support risk assessment of chemicals. MATCH Communications in
Mathematical and in Computer Chemistry, 67, 213–230.
Demiray, A. D., Yolcubal, I., Akyol, N. H., & Cobanoglu, G. (2012). Biomonitoring of airborne
metals using the lichen Xanthoria parietina in Kocaeli Province, Turkey. Ecological Indicators,
18, 632–643.
Fattore, M., & Maggino, F. (2014). Partial orders in socio-economics. A practical challenge for
poset theorists or a cultural challenge for social scientists? In R. Bruggemann, L. Carlsen, & J.
Wittmann (Eds.), Multi-indicator systems and modelling in partial order (pp. 197–214). New
York: Springer.
Fattore, M., Arcagni, A., & Maggino, F. (2019). Optimal scoring of partially ordered data, with
an application to the ranking of smart cities. Smart Statistics for Smart Applications Book of
Short Papers SIS 2019 – ISBN 9788891915108.
Ferretti, M., Innes, J. L., Jalkanen, R., Saurer, M., Schäffer, J., Spiecker, H., & von Wilpert,
K. (2002). Air pollution and environmental chemistry–what role for tree-ring studies? Dendrochronologia, 20, 159–174.
Frati, L., Caprasecca, E., Santoni, S., Gaggi, C., Guttova, A., Gaudino, S., Pati, A., Rosamilia, S.,
Pirintsos, S. A., & Loppi, S. (2006). Effects of NO 2 and NH 3 from road traffic on epiphytic
lichens. Environmental Pollution, 142(1), 58–64.
Galassi, S., Provini, A., & Halfon, E. (1996). Risk assessment for pesticides and their metabolites
in water. International Journal of Environmental Analytical Chemistry, 65, 331–344.
Grisoni, F., Consonni, V., Nembri, S., & Todeschini, R. (2015). How to weight Hasse matrices and
reduce incomparabilities. Chemometrics and Intelligent Laboratory Systems, 147, 95–104.
Grönlund, S. E. (2019). Indicators and methods to assess sustainability of wastewater sludge
management in the perspective of two systems ecology models. Ecological Indicators, 100,
45–54.
Halfon, E., & Reggiani, M. G. (1986). On ranking chemicals for environmental hazard. Environmental Science & Technology, 20, 1173–1179.
Hasse, H. (1967). Vorlesungen über Klassenkörpertheorie. Marburg: Physica-Verlag.
Helm, D. (2003). Bewertung von Monitoringdaten der Umweltprobenbank des Bundes mit der
Hasse-Diagramm-Technik. UWSF – Z Umweltchem Ökotox, 15, 85–94.
Jin, C., Nan, Z., Wang, H., & Jin, P. (2017). Plant growth and heavy metal bioavailability changes
in a loess subsoil amended with municipal sludge compost. Journal of Soils and Sediments, 17,
2797–2809.