Skip to main content
Log in

Two-way layout factorial experiments of spatial point pattern responses in mineral flotation

  • Original Paper
  • Published:
TEST Aims and scope Submit manuscript

Abstract

Factorial experiments are well-understood when the given observations are outcomes of random variables. However, when we observe spatial point patterns in each combination of factors cells, the methodology is much less developed. Motivated by a real problem of locations of bubbles in a mineral flotation experiment where the interest is analysing if the spatial distribution might be affected by frother concentrations and volumetric airflow rates, we develop an approach for statistical testing of two-way factorial experiments for spatial point patterns. We describe the point patterns through the K-function, a second-order summary statistic, and develop a set of new Fisher-based statistics using weighted means. For inference by Monte Carlo, we use random permutations of weighted residuals depending on the null hypothesis. We conduct simulation experiments to demonstrate the performance of the new test statistics and present the results of the real problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abramovich F, Angelini C (2006) Testing in mixed-effects FANOVA models. J Stat Plan Inference 136(12):4326–4348

    MathSciNet  MATH  Google Scholar 

  • Anderson M, Braak CT (2003) Permutation tests for multi-factorial analysis of variance. J Stat Comput Simul 73(2):85–113

    MathSciNet  MATH  Google Scholar 

  • Baddeley A, Boyde A, Reid S, Howard C (1987) Three-dimensional analysis of the spatial distribution of particles using the tandem-scanning reflected light microscope. Acta Stereol 6(supplement II):87–100

    Google Scholar 

  • Baddeley A, Moyeed R, Howard C, Boyde A (1993) Analysis of a three-dimensional point pattern with replication. J Roy Stat Soc Ser C (Appl Stat) 42(4):641–668

    MathSciNet  MATH  Google Scholar 

  • Baddeley A, Møller J, Waagepetersen R (2000) Non- and semi-parametric estimation of interaction in inhomogeneous point patterns. Stat Neerl 54:329–350

    MathSciNet  MATH  Google Scholar 

  • Baddeley A, Rubak E, Turner R (2015) Spatial point patterns: methodology and applications with R. Chapman & Hall Interdisciplinary Statistics Series. CRC Press, Boca Raton

    MATH  Google Scholar 

  • Bagchi R, Illian JB (2015) A method for analysing replicated point patterns in ecology. Methods Ecol Evol 6(4):482–490

    Google Scholar 

  • Besag J (1977) Contribution to the discussion of Dr Ripley’s paper. J R Stat Soc Ser B (Stat Methodol) 39:193–195

    MathSciNet  Google Scholar 

  • Chen F, Gomez C, Finch J (2001) Technical note bubble size measurement in flotation machines. Miner Eng 14(4):427–432

    Google Scholar 

  • Chiu SN, Stoyan D, Kendall WS, Mecke J (2013) Stochastic geometry and its applications. Wiley series in probability and statistics, 3rd edn. Wiley, Chichester

    MATH  Google Scholar 

  • Choi E, Hall P (1999) Nonparametric approach to analysis of space-time data on earthquake occurrences. J Comput Graph Stat 8:733–748

    MathSciNet  Google Scholar 

  • Cressie NAC (1993) Statistics for spatial data, revised. Wiley, New York

    MATH  Google Scholar 

  • Cuevas A, Febrero M, Fraiman R (2004) An ANOVA test for functional data. Comput Stat Data Anal 47(1):111–122

    MathSciNet  MATH  Google Scholar 

  • Daley D, Vere-Jones D (2003) An introduction to the theory of point processes: volume I: elementary theory and methods, 2nd edn. Springer, New York

    MATH  Google Scholar 

  • Diggle PJ (2013) Statistical analysis of spatial and spatio-temporal point patterns. Chapman & Hall monographs on statistics & applied probability, 3rd edn. CRC Press, Boca Raton

    Google Scholar 

  • Diggle PJ, Lange N, Beneš FM (1991) Analysis of variance for replicated spatial point patterns in clinical neuroanatomy. J Am Stat Assoc 86(415):618–625

    Google Scholar 

  • Diggle PJ, Mateu J, Clough H (2000) A comparison between parametric and non-parametric approaches to the analysis of replicated spatial point patterns. Adv Appl Prob 32(2):331–343

    MathSciNet  MATH  Google Scholar 

  • Efron B (1979) Bootstrap methods: another look at the jackknife. Ann Stat 7(1):1–26

    MathSciNet  MATH  Google Scholar 

  • Emery X, Kracht W, Egaña Á, Garrido F (2012) Using two-point set statistics to estimate the diameter distribution in Boolean models with circular grains. Math Geosci 44(7):805–822

    MATH  Google Scholar 

  • Ferraty F, Vieu P, Viguier-Pla S (2007) Factor-based comparison of groups of curves. Comput Stat Data Anal 51(10):4903–4910

    MathSciNet  MATH  Google Scholar 

  • Gomez C, Finch J (2007) Gas dispersion measurements in flotation cells. Int J Miner Process 84(1):51–58

    Google Scholar 

  • Gómez C, Mesías J, Álvarez J (2016) Bubble surface area flux and performance in laboratory flotation testing. In: XXVIII international mineral processing congress proceedings. Canadian Institute of Mining, Metallurgy and Petroleum

  • Górecki T, Smaga Ł (2015) A comparison of tests for the one-way ANOVA problem for functional data. Comput Stat 30(4):987–1010

    MathSciNet  MATH  Google Scholar 

  • Hahn U (2012) A studentized permutation test for the comparison of spatial point patterns. J Am Stat Assoc 107(498):754–764

    MathSciNet  MATH  Google Scholar 

  • Hahn U, Vedel Jensen EB (2016) Hidden second-order stationary spatial point processes. Scand J Stat 43(2):455–475

    MathSciNet  MATH  Google Scholar 

  • Ho LP, Chiu SN (2006) Testing the complete spatial randomness by Diggle’s test without an arbitrary upper limit. J Stat Comput Simul 76(7):585–591

    MathSciNet  MATH  Google Scholar 

  • Illian J, Penttinen P, Stoyan H, Stoyan D (2008) Statistical analysis and modelling of spatial point patterns. Statistics in practice. Wiley, London

    MATH  Google Scholar 

  • Kracht W, Emery X, Paredes C (2013) A stochastic approach for measuring bubble size distribution via image analysis. Int J Miner Process 121:6–11

    Google Scholar 

  • Landau S, Everall IP (2008) Nonparametric bootstrap for K-functions arising from mixed-effects models with applications in neuropathology. Stat Sin 18(4):1375–1393

    MathSciNet  MATH  Google Scholar 

  • Laskowski J (2001) Coal flotation and fine coal utilization. Developments in mineral processing. Elsevier Science, Amsterdam

    Google Scholar 

  • McCullagh P, Nelder JA (1989) Generalized linear models. Chapman & Hall monographs on statistics and applied probability, 2nd edn. CRC Press, Boca Raton

    Google Scholar 

  • Miskovic S, Luttrell G (2012) Comparison of two bubble sizing methods for performance evaluation of mechanical flotation cells. In: Young CA, Luttrell GH (eds) Separation technologies for minerals, coal, and earth resources. Society for Mining, Metallurgy, and Exploration, Englewood

    Google Scholar 

  • Møller J, Waagepetersen RP (2004) Statistical inference and simulation for spatial point processes. Chapman & Hall monographs on statistics & applied probability. CRC Press, Boca Raton

    Google Scholar 

  • Mrkvička T, Dvořák J, González JA, Mateu J (2020a) Revisiting the random shift approach for testing in spatial statistics. Spat Stat. https://doi.org/10.1016/j.spasta.2020.100430

  • Mrkvička T, Myllymäki M, Jílek M, Hahn U (2020b) A one-way ANOVA test for functional data with graphical interpretation. Kybernetika 56(3):432–458

  • Myllymäki M, Särkkä A, Vehtari A (2014) Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates. Spat Stat 8:104–121

    MathSciNet  Google Scholar 

  • Penttinen A, Stoyan D, Henttonen HM (1992) Marked point processes in forest statistics. For Sci 38(4):806–824

    Google Scholar 

  • Ramón P, de la Cruz M, Chacón-Labella J, Escudero A (2016) A new non-parametric method for analyzing replicated point patterns in ecology. Ecography 39(11):1109–1117

    Google Scholar 

  • Ramsay JO, Silverman BW (2005) Functional data analysis, 2nd edn. Springer, New York

    MATH  Google Scholar 

  • Ripley BD (1977) Modelling spatial patterns (with discussion). J R Stat Soc Ser B (Stat Methodol) 39(2):172–212

    Google Scholar 

  • Ripley BD (1988) Statistical inference for spatial processes. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Schlesinger ME, King MJ, Sole KC, Davenport WG (2011) Extractive metallurgy of copper, 5th edn. Elsevier Science, Amsterdam

    Google Scholar 

  • van Lieshout MNM, Baddeley AJ (1996) A nonparametric measure of spatial interaction in point patterns. Stat Neerl 50(3):344–361

    MathSciNet  MATH  Google Scholar 

  • Wilson HE (1998) Statistical analysis of replicated spatial point patterns. PhD thesis. Lancaster University

  • Zhang JT (2013) Analysis of variance for functional data. Chapman & Hall monographs on statistics & applied probability. CRC Press, Boca Raton

    Google Scholar 

Download references

Acknowledgements

We are indebted to Dr Aila Särkkä and Dr Edith Gabriel for their careful comments on an earlier draft. We would like to thank Project CORFO, SMI-ICE-CHILE 13CE12-21844-F1-L1-P3, “Frother Roles Characterization in a Laboratory Mechanical Flotation Cell”, for their kindness in providing the data set analysed. Jonatan A. González and Jorge Mateu are partially funded by Grant MTM2016-78917-R from the Spanish Ministry of Science and Education. Bernardo Lagos-Álvarez thanks VRID Grant 216.014.026-1.0, from University of Concepción.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jonatan A. González.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

González, J.A., Lagos-Álvarez, B.M. & Mateu, J. Two-way layout factorial experiments of spatial point pattern responses in mineral flotation. TEST 30, 1046–1075 (2021). https://doi.org/10.1007/s11749-021-00768-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11749-021-00768-w

Keywords

Mathematics Subject Classification

Navigation