Pàgina d'en Martin

Journal publications before 2024 / Newsletters Josep Antoni Martín-Fernández Photo: BCN_2012

Journals before 2024 Back to Journals Back to main menu

2023

Martín-Fernández JA, Di Donato V, Pawlowsky-Glahn V, Egozcue JJ (2023). Insights in R-mode hierarchical clustering for compositional data. Mathematical Geosciences Open access DOI: https://doi.org/10.1007/s11004-023-10115-4.

Saperas-Riera J, Mateu-Figueras G, Martín-Fernández JA (2023). Lasso regression method for a compositional covariate regularised by the norm L1 pairwise logratio. Journal of Geochemical Exploration55, pp. 107327. DOI: https://doi.org/10.1016/j.gexplo.2023.107327.

Saperas-Riera J, Mateu-Figueras G, Martín-Fernández JA (2023). Fundamentals of Convex Optimization for Compositional Data. SORT 47-2, pp. 1-22. DOI: https://doi.org/10.57645/20.8080.02.11.

Cabrera A, Estremera E, Beneyto A, Biagi L, Contreras I, Martín-Fernádez JA, Vehí J (2023). Individualized prediction of blood glucose outcomes using Compositional Data analysis. Mathematics 11(21), 4517 . DOI: https://doi.org/10.3390/math11214517.

Nesrstová V, Wilms I, Palarea-Albaladejo J, Filzmoser P, Martín-Fernández JA, Friedecký D, Hron K (2023) Principal Balances of Compositional Data forRegression and Classification using Partial Least Squares. Journal of Chemometrics. 2023;e3518. doi:10.1002/cem.3518.

Cabrera A, Biagi L, Beneyto A, Estremera E, Contreras I, Giménez M, Conget I, Bondia J, Martín-Fernández JA, Vehí J (2023). Validation of a Probabilistic Prediction Model for Patients with Type 1 Diabetes using Compositional Data Analysis. Mathematics 11(5), 1241. DOI: https://doi.org/10.3390/math11051241

Özgen Karacan C, Erten O, Martín-Fernández JA (2023). Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA. Journal of Geochemical Exploration, Vol. 245. DOI: https://doi.org/10.1016/j.gexplo.2022.107142.

2022

Palarea-Albaladejo J, Martín-Fernández JA, Ruiz-Gazen A, Thomas-Agnan C (2022). lrSVD: an efficient imputation algorithm for incomplete high-throughput compositional data. Journal of Chemometrics 36(12). DOI: 10.1002/cem.3459.

Verswijveren S, Ridgers ND, Martín-Fernández JA, Chastin S, Cerin E, Chinapaw MJW, Arundell L, Brown H, Dunstan DW, Hume C, Della Gatta J, Salmon J (2022). Intervention effect on children?s movement behaviour accumulation as a result of the Transform-Us! school- and home-based cluster randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity.Jul 7;19(1):76. doi: 10.1186/s12966-022-01314-z. PMID: 35799258; PMCID: PMC9261108.

Engle MA, Nye CW, Neupane G, Quillinan SA, McLaughlin JF, McLing T, Martín-Fernández JA (2022) Predicting Rare Earth Element Potential in Produced and Geothermal Waters of the United States via Emergent Self-Organizing Maps. Energies, 15, 4555. https://doi.org/10.3390/en15134555

Di Donato V, Sgarrella F, Sprovieri R, Di Stefano E, Martín-Fernández JA, Incarbona A (2022). High-frequency modification in the Central Mediterranean bottom environment since the last glacial based on benthic foraminifera. Palaeogeography, Palaeoclimatology, Palaeoecology, 593(Article 110924). https://doi.org/10.1016/j.palaeo.2022.110924

Vives-Mestres M, Kenett RS, Thió-Henestrosa S, Martín-Fernández JA (2022) Measurement, selection and visualization of association rules: a compositional data perspective. Quality and Reliability Engineering International (https://doi.org/10.1002/qre.2910), 38(3):1327-1339

Verswijveren S, Lamb KE, Martín-Fernández JA, Winkler E, Leech RM, Timperio A, Salmon J, Daly RM, Cerin E, Dunstan DW, Telford RM, Telford RD, Olive LS, Ridgers ND (2022). Using compositional data analysis to explore associations between accumulation of sedentary behaviour and physical activity and biomarkers of cardiometabolic health in children and adolescents: A cross-sectional study. Journal of Sport and Health Science. DOI: 10.1016/j.jshs.2021.03.004

2021

Ozgen Karacan C, Martín-Fernández JA, Ruppert LF, Olea RA (2021). Insights on the characteristics and sources of gas from an underground coal mine using compositional data analysis. International Journal of Coal Geology 241 (2021) 103767. DOI: 10.1016/j.coal.2021.103767

Martín-Fernández JA, Egozcue JJ, Olea RA, Pawlowsky-Glahn V (2021). Units recovery methods in compositional data analysis. Natural Resources Research 30(4), 3045-3058. https://doi.org/10.1007/s11053-020-09659-7

Barceló-Vidal C, Martín-Fernández JA (2021). Factor Analysis of Compositional Data with a Total in Advances in Compositional Data Analysis. Festschrift in Honour of Vera Pawlowsky-Glahn (P. Filzmoser, K. Hron, J.A. Martín-Fernández, and J. Palarea-Albaladejo, eds.), Springer International Publishing, pages 125-142.

Dumuid D, Pedi?i? Z, Palarea-Albaladejo J, Martín-Fernández JA, Hron K, Olds T (2021). Compositional Data Analysis in Time-Use Epidemiology in Advances in Compositional Data Analysis. Festschrift in Honour of Vera Pawlowsky-Glahn (P. Filzmoser, K. Hron, J.A. Martín-Fernández, and J. Palarea-Albaladejo, eds.), Springer International Publishing, pages 383-404.

Olea RA, Martín-Fernández JA, Craddock WH (2021). Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers in Advances in Compositional Data Analysis. Festschrift in Honour of Vera Pawlowsky-Glahn (P. Filzmoser, K. Hron, J.A. Martín-Fernández, and J. Palarea-Albaladejo, eds.), Springer International Publishing, pages 303-327.

Martín-Fernández JA, Barceló-Vidal C (2021). Logcontrast and Orthonormal Logratio Coordinates for Compositional Data with a Total in Advances in Contemporary Statistics and Econometrics. Festschrift in Honour of Christine Thomas-Agnan (Daouia A., Ruiz-Gazen A., eds.), Springer International Publishing, https://doi.org/10.1007/978-3-030-73249-3_26

Biagi L, Bertachi A, Giménez M, Conget I, Bondia J, Martín-Fernández JA, Vehí J (2021) Probabilistic Model of Transition Between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach, Sensors, 21, 3593. DOI: https://doi.org/10.3390/s21113593

Dumuid D, Martín-Fernández JA, Ellul S, Kenett RS, Wakec M, Simmc P, Baurh L, Olds T (2021). Analysing body composition as compositional data: An exploration of the relationship between body composition, body mass and bone strength. Statistical Methods in Medical Research. 30(1):331?346 DOI: 10.1177/0962280220955221

Martín-Fernández JA (2021) ?Compositional Data Analysis in Practice? by Michael Greenacre Universitat Pompeu Fabra (Barcelona, Spain), Chapman and Hall/CRC, 2018. Journal of Classification 38: 109?111 https://doi.org/10.1007/s00357-020-09364-3

2020

Comas-Cufí M, Martín-Fernández JA, Mateu-Figueras G, Palarea-Albaladejo J (2020) Modelling count data using the logratio-normal-multinomial distribution. SORT 44(1): 99-126

Perujo N, Romani AM, Martín-Fernández JA (2020) Microbial community-level physiological profiles: new analysis by a compositional data approach. Ecological Indicators 117. https://doi.org/10.1016/j.ecolind.2020.106628.

Dumuid D, Pedi?i? Z, Palarea-Albaladejo J, Martín-Fernández JA, Hron K, Olds T (2020). Compositional data analysis in time-use epidemiology: what, why, how. International Journal of Environmental Research and Public Health 17, 2220; doi:10.3390/ijerph17072220

Di Donato V, Jamka J, Martín-Fernández JA (2020) Compositional Regression-Based Methods for SST Reconstruction. Alpine and Mediterranean Quaternary 33(1):1-11. https://doi.org/10.26382/AMQ.2020.02

Ritger AL, Fountain CT, Bourne K, Martín-Fernández JA, Pierotti MER (2020) Diet choice in a generalist predator, the invasive lionfish (Pterois volitans/miles) Journal of Experimental Marine Biology and Ecology 524: Art.153311

2019

Biagi L, Bertachi A, Giménez M, Conget I, Bondia J, Martín-Fernández JA, Vehí J (2019) Individual Categorisation of Glucose Profiles Using Compositional Data Analysis, Statistical Methods in Medical Research 28(12): 3550-3567

Martín-Fernández JA, Engle ME, Ruppert LF, Olea RA (2019) Advances in self-organizing maps for their application to compositional data. Stochastic Environmental Research and Risk Assessment (SERRA) 33:817-826. DOI 10.1007/s00477-019-01659-1

Graffelman J, Martín-Fernández JA (2019) Book review: Applied compositional data analysis: with worked examples in R by Filzmoser P, Hron K, Templ M (Springer Series in Statistics). Biometric Journal, 3 pages, DOI: 10.1002/bimj.201900263

Martín-Fernández JA (2019) Comments on: Compositional data: the sample space and its structure by Egozcue, J.J. and Pawlowsky-Glahn, V. TEST 28(3), 653-657. https://doi.org/10.1007/s11749-019-00672-4

Dumuid D, Pedisic Z, Stanford TE, Martín-Fernández JA, Hron K, Maher C, Lewis LK, Olds TS (2019) The Compositional Isotemporal Substitution Model: a Method for Estimating Changes in a Health Outcome for Reallocation of Time between Sleep, Sedentary Behaviour, and Physical Activity. Statistical Methods in Medical Research 28(3): 846-857 (DOI:10.1177/0962280217737805)

Comas-Cufí M, Martín-Fernández JA, Mateu-Figueras G (2019) Merging the components of a finite mixture using posterior probabilities. Statistical Modelling 19(2): 109-139 DOI: 10.1177/1471082X17735919

2018

Di Donato V, Martín-Fernández JA, Comas-Cufí M, Jamka J (2018) Palaeoenvironmental reconstructions through compositional data analysis, Alpine and Mediterranean Quaternary 31(1):59-73

Hron K, Martín-Fernández JA (eds.) (2018) CoDaWork 2017: special issue on compositional data analysis. Austrian Journal of Statistics 47(5)

Martín-Fernández JA, Olea RA, Ruppert LF (2018) Compositional Data Analysis of Coal Combustion Products with an Application to a Wyoming Power Plant. Mathematical Geosciences 50(6), 639-657 DOI: 10.1007/s11004-018-9736-z

Thiombane M, Martín-Fernández JA, Albanese S, Lima A, Doherty A, De Vivo B (2018) Exploratory analysis of multi-element geochemical patterns in soil from the Sarno River Basin (Campania region, southern Italy) through Compositional Data Analysis (CODA). Journal of Geochemical Exploration 195: 110-120

Dumuid D, Stanford TE, Pedisic Z, Martín-Fernández JA, Maher C, Lewis LK, Katzmarzyk PT, Chaput JP, Fogelholm M, Standage M, Tremblay MS, Olds T (2018) Adiposity and the Isotemporal Substitution of Physical Activity, Sedentary Time and Sleep among School-Aged Children: a Compositional Data Analysis Approach. BMC Public Health 18(1):art.no.311, DOI: 10.1186/s12889-018-5207-1

Dumuid D, Maher C, Lewis LK, Stanford TE, Martin-Fernandez JA, Ratcliffe J, Katzmarzyk PT, Barreira TV, Chaput JP, Fogelholm M, Hu G, Maia J, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Olds T (2018) Human development index, children?s health-related quality of life and movement behaviors: a compositional data analysis. Quality of Life Research 27(6):1473-1482

Dumuid D, Stanford TE, Martín-Fernández JA, Pedisic Z, Maher C, Lewis LK, Hron K, Katzmarzyk PT, Chaput JP, Fogelholm M, Hu G, Lambert EV, Maia J, Sarmiento OL, Standage M, Barreira TV, Broyles ST, Tudor-Locke C, Tremblay MS, Olds T (2018). Compositional data analysis for physical activity, sedentary time and sleep research. Statistical Methods in Medical Research 27(12):3726-3738

Martín-Fernández JA, Pawlowsky-Glahn V, Egozcue JJ, Tolosana-Delgado R (2018). Advances in principal balances for compositional data. Mathematical Geosciences 50(3):273?298. https://doi.org/10.1007/s11004-017-9712-z

Dumuid D, Olds T, Lewis LK, Martín-Fernández JA, Katzmarzyk P, Barreira T, Broyles S, Chaput JP, Fogelholm M, Hu G, Kuriyan R, Kurpad A, Lambert E, Maia J, Matsudo V, Onywera V, Sarmiento O, Standage M, Tremblay M, Tudor-Locke C, Zhao P, Gillison F, Maher C (2018). The adiposity of children is associated with their lifestyle behaviours: A cluster analysis of school-aged children from 12 nations. Pediatric Obesity: 13(2) 111-119, DOI: 10.0000/ijpo.12196

2017

Coenders G, Martín-Fernández JA, Ferrer-Rosell B (2017) When relative and absolute information matter. Compositional predictor with a total in generalized linear models. Statistical Modelling 17(6):494-512 (https://doi.org/10.1177/1471082X17710398)

Dumuid D, Olds T, Lewis LK, Martín-Fernández JA, Katzmarzyk PT, Barreira T, Broyles ST, Chaput JP, Fogelholm M, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maia J, Matsudo V, Onywera VO, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Gillison F, Maher C (2017) Health-related quality of life and lifestyle behaviour clusters in school-aged children from 12 countries. The Journal of Pediatrics 183:178-83

Dumuid D, Olds T, Lewis LK, Martín-Fernández JA, Cassidy L & Maher C (2017) Academic performance and lifestyle behaviours in Australian school children: a cluster analysis. Health Education & Behavior 44(6):918-927 (DOI: https://doi.org/10.1177/1090198117699508)

Pierotti ME, Martín-Fernández JA, Barceló-Vidal C (2017) The peril of proportions: robust niche indices for categorical data. Methods in Ecology and Evolution 8:232-240. (DOI: 10.1111/2041-210X.12656)

Edjabou ME, Martín-Fernández JA, Scheutz C, Astrup TF (2017) Statistical analysis of solid waste composition data: Arithmetic mean, standard deviation and correlation coefficients. Waste Management 69:13-23 (https://doi.org/10.1016/j.wasman.2017.08.036).

2016

Martín-Fernández, J.A. and Thió-Henestrosa, S. (Guest eds.), 2016. Compositional Data Analysis. Austrian Journal of Statistics, 45(4), p. 87. ISSN: 1026597X.

Martín-Fernández, J.A. and Thió-Henestrosa, S. (eds.), 2016. Compositional Data Analysis: CoDaWork, L?Escala, Spain, June 2015. Springer Proceedings in Mathematics & Statistics, 187. Springer International Publishing, New York (USA). ISBN: 978-3-319-44810-7.

Vives-Mestres, M., Martín-Fernández, J.A., and Kenett, R.S., 2016. Compositional Data Methods in Customer Survey Analysis. Quality and Reliability Engineering International. DOI: 10.1002/qre.2029.

Barceló-Vidal, C. and Martín-Fernández, J.A., 2016. The Mathematics of Compositional Analysis. Austrian Journal of Statistics, 45(4), 57-71. DOI: http://dx.doi.org/10.17713/ajs.v45i4.142.

Pivnenko, K., Eriksena, M.K., Martín-Fernández, J.A., Eriksson, E. and Astrup, T.F., 2016. Recycling of Plastic Waste: Presence of Phthalates in Plastics from Households and Industry. Waste Management, 54: 44?52.

Comas-Cufí, M., Martín-Fernández, J.-A., and Mateu-Figueras, G., 2016. Logratio methods in mixture models for compositional data sets. SORT, 40(2): 349-374.

Vives-Mestres, V., J. Daunis-i-Estadella, and J.A. Martín-Fernández, 2016. Signal Interpretation in Hotelling's T2 Control Chart for Compositional Data. IIE Transactions, 48(7): 661-672 (DOI: 10.1080/0740817X.2015.1125042).

2015

Martín-Fernández, J.A., Daunis-i-Estadella, J., and Mateu-Figueras, G., 2015. On the interpretation of differences between groups for compositional data. SORT, 39(2), 231-252.

Palarea-Albaladejo, J. and Martín-Fernández, J.A., 2015. zCompositions - R package for multivariate imputation of nondetects and zeros in compositional data sets. Chemometrics and Intelligent Laboratory Systems, 143, 85-96.

Tyutyunnik, Yu. G., Blum, O.B., Daunis-i-Estadella, J., Martín-Fernández, J.A., 2015. Assessment of the Anthropogenic Load on Trostyanets Arboretum of the Nas of Ukraine by Biogeochemical Indication Method, Planet Introduction (ISSN 1605-6574), 2, 77-87.

Pfleger, M., Lichtenegger, H.I.M, Wurz, P., Lammer, H., Kallio, E., Alho, M., Mura, A., McKenna-Lawlor, S., Martín-Fernández, J.A., 2015. 3D-modeling of Mercury's solar wind sputtered surface-exosphere environment. Planetary and Space Science [ISSN: 0032-0633], 115, 90-101.

Russo Ermolli, E., Di Donato, V., Martín-Fernández, J.A., Orain, R., Lebreton, V., and Piovesan, G., 2015. Vegetation patterns in the Southern Apennines (Italy) during MIS 13: deciphering pollen variability along a NW-SE transect. Review of Palaeobotany and Palynology, 218, 167-183.

Martín-Fernández J.A., Buxeda-Garrigós, J., and Pawlowsky-Glahn, V., 2015. Logratio Analysis in Archeometry: Principles and Methods (Chapter 8). In: MATHEMATICS AND ARCHAEOLOGY, J.A. Barceló and Igor Bogdanovic (eds.). Science Publishers (an imprint of CRC Press, Taylor & Francis Group) (ISBN-13: 978-1482226812).

Martín-Fernández J.A., Hron K., Templ M., Filzmoser P,. and Palarea-Albaladejo J., 2015. Bayesian-multiplicative treatment of count zeros in compositional data sets. Statistical Modelling, 15(2), 134-158 (doi:10.1177/1471082X14535524).

Vives-Mestres, M. and Martín-Fernández, J.A., 2015. Some comments on compositional analysis in management and production engineering. Management and Production Engineering Review, 6(2), 63-72.

Di Donato, V., Daunis-i-Estadella J., Martín-Fernández, J.A., and Esposito P.,S., 2015. Size fraction effects on planktonic foraminifera assemblages: a compositional contribution to the golden sieve rush. Mathematical&Geosciences, 47, 455?470 (doi: 10.1007/s11004-014-9529-y).

2014

Tiutiunnik, Yu. G., Andreyev, M.P., Daunis-i-Estadella, J., Martín-Fernández, J.A., Blum, O.B., 2014. Biogeochemical studies of air pollution in South Shetland Islands (Antarctica). BIOSPHERE, 6(3), 275-284.

Palarea-Albaladejo, J., Martín-Fernández, J.A., Buccianti, A., 2014. Compositional methods for estimating concentrations below the limit of detection in practice using R. Journal of Geochemical Exploration, 141, 71-77.

Buccianti, A., Nisi, B., Martín-Fernández, J.A., Palarea-Albaladejo, J., 2014. Methods to investigate the chemistry of groundwaters with values for nitrogen compounds below the detection limit. Journal of Geochemical Exploration, 141, 78-88.

Vives-Mestres, V., J. Daunis-i Estadella, and J.A. Martín-Fernández, 2014. Individual T^2 Control Chart for Compositional Data. Journal of Quality Technology, 46(2), 127-139.

Vives-Mestres, V., J. Daunis-i Estadella, and J.A. Martín-Fernández, 2014. Out-of-Control Signals in 3-part Compositional T2 Control Chart. Quality and Reliability Engineering International, 30 (3), 337-346.

Palarea-Albaladejo, J., Martín-Fernández, J.A., and Olea, R.A., 2014. Bootstrap estimation of distributional statistics from compositional data with nondetects: a case study on coal ashes. Journal of Chemometrics, 28(7), 585-599.

2013

Bonany, J., Barceló-Vidal, C., Carbó, J., and Martín-Fernández, J.A., 2013. Compositional Analysis of correlations of weather paràmetres with russet on "Golden Delicious" apples. Journal of Horticultural Science & Biotechnology, 88 (5), pp. 624-630.

Geboy, N.J., Olea, R.A. Engle, M.A., Martín-Fernández, J.A., 2013. Using simulated maps to interpret the geochemistry and formation of the Blue Gem Coal Bed, Kentucky, USA. International Journal of Coal Geology, 112, pp. 26-35.

Palarea-Albaladejo, J. and Martín-Fernández, J.A., 2013. Values below detection limit in compositional chemical data. Analytica Chimica Acta 764, pp. 32-43.

2012

Martín-Fernández, J. A., Hron, K., Templ, M., Filzmoser, P. and Palarea-Albaladejo, J., 2012. Model-based replacement of rounded zeros in compositional data: classical and robust approach. Computational Statistics & Data Analysis 56, pp. 2688-2704.

Santangelo, N., Daunis-i-Estadella, J., Di Crescenzo, G., Di Donato, V., Faillace, P.I., Martín-Fernández, J.A., Romano, P., Santo, A., and Scorpio, V., 2012. Topographic constraints on susceptibility to alluvial fan flooding in the Southern Apennines. Earth Surface Processes and Landforms 37, pp. 803-817.

Tyutyunnik, Yu. G., Daunis-i-Estadella, J., Blyum, O. B. and Martín-Fernández, J. A., 2012. Study of genetically different fields of pollution in the protected areas: geostatistical analysis of bioindication data. Geoecología. Ingeniería Geológica. Hidrogeología. Geocriología 4, pp. 336-343.

Palarea-Albaladejo, J., Martín-Fernández, J.A. and Soto, J.A., 2012. Dealing with Distances and Transformations for Fuzzy C-Means Clustering of Compositional Data, Journal of Classification 29(2), pp. 144-169.

2011

Martín-Fernández, J.A., Pawlowsky-Glahn, V., and Lammer, H., 2011. La geología de los planetas: análisis estadístico de datos composicionales al servicio de la planetología. Enseñanza de las Ciencias de la Tierra, 19.2, p. 222-223.

Martín-Fernández, J.A., Palarea-Albaladejo, J., y Barceló-Vidal, C., 2011. Técnicas composicionales para concentraciones geoquímicas por debajo del límite de detección, Boletín Instituto Geológico y Minero de España, 122 (4): 459-468.

Barceló-Vidal, C., Aguilar, L. and Martín-Fernández, J.A., 2011. Compositional VARIMA Time Series. In: Pawlowsky, V. and Buccianti, A. (eds) Compositional Data Analysis: Theory and Applications. Chichester (UK), John Wiley & Sons. Chapter 7, p. 87-103.(ISBN: 978-0-470-71135-4; 378p.)

Barceló-Vidal, C., Martín-Fernández, J.A. and Mateu-Figueras, G., 2011. Compositional Differential Calculus on the Simplex. In: Pawlowsky, V. and Buccianti, A. (eds) Compositional Data Analysis: Theory and Applications. Chichester (UK), John Wiley & Sons. Chapter 13, p. 176-190. (ISBN: 978-0-470-71135-4; 378p.)

Egozcue, J.J., Barceló-Vidal, C., Martín-Fernández, J.A., Jarauta-Bragulat, E., Díaz-Barrero, J.L. and Mateu-Figueras, G., 2011. Elements of Simplicial Linear Algebra and Geometry. In: Pawlowsky, V. and Buccianti, A. (eds) Compositional Data Analysis: Theory and Applications. Chichester (UK), John Wiley & Sons. Chapter 11, p. 141-157. (ISBN: 978-0-470-71135-4; 378p.)

Martín-Fernández, J.A., Palarea-Albaladejo, J. and Olea, R.A., 2011. Dealing with Zeros. In: Pawlowsky, V. and Buccianti, A. (eds) Compositional Data Analysis: Theory and Applications. Chichester (UK), John Wiley & Sons. Chapter 4, p. 43-58. (ISBN: 978-0-470-71135-4; 378p.)

Lammer, H., Wurz, P., Martín-Fernández, J.A. and Lichtenegger, H.I.M., 2011. Compositional Data Analysis in Planetology: the Surfaces of Mars and Mercury. In: Pawlowsky, V. and Buccianti, A. (eds) Compositional Data Analysis: Theory and Applications. Chichester (UK), John Wiley & Sons. Chapter 19, p.267-281 . (ISBN: 978-0-470-71135-4; 378p.)

Pierotti, M.E.R. and Martín-Fernández, J.A., 2011. Compositional Analysis in Behavioural and Evolutionary Ecology. In: Pawlowsky, V. and Buccianti, A. (eds) Compositional Data Analysis: Theory and Applications. Chichester (UK), John Wiley & Sons. Chapter 16, p. 218-234. (ISBN: 978-0-470-71135-4; 378p.)

Chacón, J.E., Mateu-Figueras, G., and Martín-Fernández, J.A., 2011. Gaussian kernels for density estimation with compositional data, Computer&Geosciences 37, 702-711. (http://dx.doi.org/10.1016/j.cageo.2009.12.011)

2010

Montero-Serrano, J.C., Palarea-Albaladejo, J., Martín-Fernández, J.A., Martínez-Santana, M., and Gutiérrez-Martín, J.V., 2010. Sedimentary chemofacies characterization by means of multivariate analysis, Sedimentary Geology , 228 (3-4), pp. 218--228.

Prados, F., Boada, I., Prats, A., Martín-Fernández, J. A., Feixas, M., Blasco, G., Puig, J., Pedraza, S., 2010. Analysis of New Diffusion Tensor Imaging Anisotropy Measures in the 3P-plot, Journal of Magnetic Resonance Imaging, 31(6), pp. 1435 -- 1444

Wurz, P., Whitby, J.A., Rohner, U., Martín-Fernández, J.A., Lammer, H. and Kolb, C., 2010. Self-consistent modelling of Mercury's exosphere by sputtering, micrometeorite impact and photonstimulated desorption, Planetary and Space Science, 58(12), pp. 1599--1616.

2009

Pierotti, M. E.R., Martín-Fernández, J.A., and Seehausen, O., 2009, A Mapping individual variation in male mating preference space: multiple choice in a colour polymorphic cichlid fish, Evolution, Vol. 63(9), pp. 2372-2388.

2008

Palarea-Albaladejo, J., Martín-Fernández, J. A., 2008, A modified EM alr-algorithm for replacing rounded zeros in compositional data sets, Computers&Geosciences, vol. 34(8), pp. 902-917.

2007

Palarea-Albaladejo, J., Martín-Fernández, J. A., Gómez-García, J.A., 2007, Parametric Approach for Dealing with Compositional Rounded Zeros, Mathematical Geology , vol. 39(7), pp. 625-645.

Wurz, P., Rohner, U., Whitby, J.A., Kolb, C., Lammer, H., Dobnikar, P. and Martín-Fernández, J.A., 2007, The Lunar Exosphere: The Sputtering Contribution: Icarus, v. 191(2), pp. 486-496.

Tyutyunnik Yu, G., Martín-Fernández, J.A., and Daunis-i-Estadella, J., 2007, Assessing air pollution at ground level in urban areas using state-of-the-art methods of mathematical statistics: Geography and natural resources, v. 4, pp. 146-153.

2006

Gómez-García, J., Palarea-Albaladejo, J., Martín-Fernández, J. A., 2006, Métodos de inferencia estadística con datos faltantes. Estudio de simulación sobre los efectos en las estimaciones, Revista Estadística Española, vol. 48, n. 162, pp. 241-270.

Ó.Kovács, L., Kovács, G.P., Martín-Fernández, J.A., and Barceló-Vidal, C., 2006, Major-oxide compositional discrimination in Cenozoic volcanites of Hungary, Compositional Data Analysis in the Geosciences: from Theory to Practice, Geological Society, London, Special Publications, vol. 264, pp. 11-23.

Thió-Henestrosa, S. and Martín-Fernández, J.A., 2006, Detailed guide of CoDaPack: a freeware compositional software, Compositional Data Analysis in the Geosciences: from Theory to Practice, Geological Society, London, Special Publications, vol. 264, pp. 101-118.

Martín-Fernández, J.A. and Thió-Henestrosa, S., 2006, Rounded zeros: some practical aspects for compositional data, Compositional Data Analysis in the Geosciences: from Theory to Practice, Geological Society, London, Special Publications, vol. 264, pp. 191-201.

Kolb, C., J. A. Martín-Fernández, R. Abart, H. Lammer, 2006, The chemical variability at the surface of Mars, Icarus, v. 183(1), pp. 10-29.

2005

Martín-Fernández, J. A., Barceló-Vidal, C., Pawlowsky-Glahn, V., Ó.Kovács, L., Kovács, G. P., 2005, Subcompositional patterns in Cenozoic volcanic rocks of Hungary. Mathematical Geology, vol. 37(7), pp. 729-752.

Thió-Henestrosa, S. and Martín-Fernández, J.A., 2005, Dealing with compositional data: the freeware CoDaPack. Mathematical Geology, vol. 37(7), pp. 773-793.

2003

Martín-Fernández, J.A., Barceló-Vidal, C., and Pawlowsky-Glahn, V., 2003, Dealing with Zeros and Missing Values in Compositional Data Sets, Mathematical Geology, Vol. 35(3), pp. 253-278.

2002

Barceló-Vidal, C. and Martín-Fernández, J.A., 2002, Differential Calculus on the simplex, Terra Nostra, Schriften der Alfred-Wegener- Stiftung (ISSN 0946-8978), vol. 03/2002, pp. 393-398.

Mateu-Figueras, G.; Pawlowsky-Glahn, V. and Martín-Fernández, J.A., 2002, Normal in R+ vs lognormal in R, Terra Nostra, Schriften der Alfred-Wegener- Stiftung (ISSN 0946-8978), vol. 03/2002, pp. 305-310.

Thió-Henestrosa, S.; Barceló-Vidal, C.; Martín-Fernández, J.A. and Pawlowsky-Glahn, V., 2002, CoDaPack. A Userfriendly Freeware, Terra Nostra, Schriften der Alfred-Wegener- Stiftung (ISSN 0946-8978), vol. 03/2002, pp. 429-434.

< 2002

Martín-Fernández, J.A., Olea-Menseses, R., and Pawlowsky-Glahn, V., 2001, Criteria to Compare Estimation Methods of Regionalized Compositions, Mathematical Geology, Vol. 33(8), pp. 889-909.

Aitchison, J., Barceló-Vidal, C., Martín-Fernández, J.A., and Pawlowsky-Glahn, V., 2001, Reply to letter to the editor by S. Rehder and U. Zier on ?Logratio analysis and compositional distance? by J. Aitchison, C. Barceló-Vidal, J. A. Martín-Fernández and V. Pawlowsky-Glahn, Mathematical Geology, Vol. 33(7), pp. 849-860.

Aitchison, J., Barceló-Vidal, C., Martín-Fernández, J.A., and Pawlowsky-Glahn, V., 2000, Logratio analysis and compositional distance, Mathematical Geology, Vol. 32(3), pp. 271-275.

Barceló-Vidal, C., Martín-Fernández, J.A., and Pawlowsky-Glahn, V., 1999, Comment on ?Singularity and Nonnormality in the Classification of Compositional Data? by G.C. Bohiling et al., Mathematical Geology, Vol. 31(5), pp. 581-586.

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Martín-Fernández, J.A., 2001, John's last talk in Girona. IAMG Newsletter, nº 62.

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Journal of Mathematical Geology (IAMG)

Publisher: Springer Netherlands
ISSN: 0882-8121 (Print) 1573-8868 (Online)
Subject Collection: Earth and Environmental Science
Subjects: Earth and Environmental Science, Mathematics and Statistics, Geosciences, Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences, Math. Applications in Geosciences, Hydrogeology and Geotechnical Engineering.

Computer and Geosciences (IAMG)

Publisher: Elsevier

ISSN: 0098-3004

Subject Collection: Computer Science.

Subjects: spatial analysis, geomathematics, modelling, simulation, statistical and artificial intelligence methods, e-geoscience, geoinformatics, geomatics, geocomputation, image analysis, remote sensing, and geographical information science, geology, geophysics, geochemistry, oceanography, environmental science, atmosphere and planetary science, hydrology, and physical geography.

Journal of Classification (CSNA-IFCS)

Publisher: Springer New York

ISSN: 0176-4268 (Print) 1432-1343 (Online)

Subject Collection: Mathematics and Statistics

Subjects: Computer Science, Mathematics and Statistics, Pattern Recognition, Psychometrics, Statistics, Bioinformatics, Statistical Theory and Methods, Signal,Image and Speech Processing and Marketing.

Journal of the Royal Statistical Society Serie C-Applied Statistics.

Publisher: Blackwell Publishing
ISSN: 0035-9254
Subject Collection: Statistics and Probability
Subjects: statistical applications in agriculture, genetics, industry, medicine and the physical sciences, and on design issues.

Computational Statistics & Data Analysis.

Publisher: Elsevier
ISSN: 0167-9473
Subject Collection: Statistics and Probability
Subjects: dissemination of methodological research and applications in the areas: Computational Statistics, Statistical Methodology for Data Analysis, and Special Applications.

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