IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v022i09.html
   My bibliography  Save this article

simecol: An Object-Oriented Framework for Ecological Modeling in R

Author

Listed:
  • Petzoldt, Thomas
  • Rinke, Karsten

Abstract

The simecol package provides an open structure to implement, simulate and share ecological models. A generalized object-oriented architecture improves readability and potential code re-use of models and makes simecol-models freely extendable and simple to use. The simecol package was implemented in the S4 class system of the programming language R. Reference applications, e.g. predator-prey models or grid models are provided which can be used as a starting point for own developments. Compact example applications and the complete code of an individual-based model of the water flea Daphnia document the efficient usage of simecol for various purposes in ecological modeling, e.g. scenario analysis, stochastic simulations and individual based population dynamics. Ecologists are encouraged to exploit the abilities of simecol to structure their work and to use R and object-oriented programming as a suitable medium for the distribution and share of ecological modeling code.

Suggested Citation

  • Petzoldt, Thomas & Rinke, Karsten, 2007. "simecol: An Object-Oriented Framework for Ecological Modeling in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i09).
  • Handle: RePEc:jss:jstsof:v:022:i09
    DOI: http://hdl.handle.net/10.18637/jss.v022.i09
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v022i09/v22i09.pdf
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v022i09/simecol_0.5-1.tar.gz
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v022i09/v22i09.R.zip
    Download Restriction: no

    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v022.i09?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jachner, Stefanie & Gerald van den Boogaart, K. & Petzoldt, Thomas, 2007. "Statistical Methods for the Qualitative Assessment of Dynamic Models with Time Delay (R Package qualV)," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i08).
    2. Cribari-Neto, Francisco & Zarkos, Spyros G, 1999. "R: Yet Another Econometric Programming Environment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 319-329, May-June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eline M. Krijkamp & Fernando Alarid-Escudero & Eva A. Enns & Hawre J. Jalal & M. G. Myriam Hunink & Petros Pechlivanoglou, 2018. "Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial," Medical Decision Making, , vol. 38(3), pages 400-422, April.
    2. James W Rudge & Piya Hanvoravongchai & Ralf Krumkamp & Irwin Chavez & Wiku Adisasmito & Pham Ngoc Chau & Bounlay Phommasak & Weerasak Putthasri & Chin-Shui Shih & Mart Stein & Aura Timen & Sok Touch &, 2012. "Health System Resource Gaps and Associated Mortality from Pandemic Influenza across Six Asian Territories," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-10, February.
    3. repec:jss:jstsof:33:i09 is not listed on IDEAS
    4. Petzoldt, Thomas & Rudolf, Lars & Rinke, Karsten & Benndorf, Jürgen, 2009. "Effects of zooplankton diel vertical migration on a phytoplankton community: A scenario analysis of the underlying mechanisms," Ecological Modelling, Elsevier, vol. 220(9), pages 1358-1368.
    5. Soetaert, Karline & Petzoldt, Thomas & Setzer, R. Woodrow, 2010. "Solving Differential Equations in R: Package deSolve," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i09).
    6. repec:jss:jstsof:22:i01 is not listed on IDEAS
    7. Kneib, Thomas & Petzoldt, Thomas, 2007. "Introduction to the Special Volume on "Ecology and Ecological Modeling in R"," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i01).
    8. Soetaert, Karline & Petzoldt, Thomas, 2010. "Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i03).
    9. Carus, Jana & Heuner, Maike & Paul, Maike & Schröder, Boris, 2017. "Which factors and processes drive the spatio-temporal dynamics of brackish marshes?—Insights from development and parameterisation of a mechanistic vegetation model," Ecological Modelling, Elsevier, vol. 363(C), pages 122-136.
    10. Martínez-López, Javier & Martínez-Fernández, Julia & Naimi, Babak & Carreño, María F. & Esteve, Miguel A., 2015. "An open-source spatio-dynamic wetland model of plant community responses to hydrological pressures," Ecological Modelling, Elsevier, vol. 306(C), pages 326-333.
    11. Langston, Amy K. & Kaplan, David A., 2020. "Modelling the effects of climate, predation, and dispersal on the poleward range expansion of black mangrove (Avicennia germinans)," Ecological Modelling, Elsevier, vol. 434(C).
    12. Tancredi Caruso & Jeff R Powell & Matthias C Rillig, 2012. "Compositional Divergence and Convergence in Local Communities and Spatially Structured Landscapes," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-10, April.
    13. repec:jss:jstsof:33:i03 is not listed on IDEAS
    14. Krug, Rainer M. & Richardson, David M., 2014. "Modelling the effect of two biocontrol agents on the invasive alien tree Acacia cyclops—Flowering, seed production and agent survival," Ecological Modelling, Elsevier, vol. 278(C), pages 100-113.

    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.
    1. repec:jss:jstsof:22:i09 is not listed on IDEAS
    2. Courgeau, Daniel, 2012. "Probability and social science : methodologial relationships between the two approaches ?," MPRA Paper 43102, University Library of Munich, Germany.
    3. Zeileis, Achim, 2006. "Implementing a class of structural change tests: An econometric computing approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2987-3008, July.
    4. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    5. repec:jss:jstsof:11:i10 is not listed on IDEAS
    6. Zeileis, Achim & Koenker, Roger, 2008. "Econometrics in R: Past, Present, and Future," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i01).
    7. Christine Choirat & Raffello Seri, 2009. "Econometrics with Python," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 698-704.
    8. repec:jss:jstsof:22:i01 is not listed on IDEAS
    9. Barbosa, Carolina Cerqueira & Calijuri, Maria do Carmo & Anjinho, Phelipe da Silva & dos Santos, André Cordeiro Alves, 2023. "An integrated modeling approach to predict trophic state changes in a large Brazilian reservoir," Ecological Modelling, Elsevier, vol. 476(C).
    10. Francisco Cribari-Neto & Spyros Zarkos, 2003. "Econometric and Statistical Computing Using Ox," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 277-295, June.
    11. A. Talha Yalta & Riccardo Lucchetti, 2008. "The GNU|Linux platform and freedom respecting software for economists," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 279-286.
    12. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Erden, Lutfi & Ozkan, Ibrahim, 2014. "Determinants of international transmission of business cycles to Turkish economy," Economic Modelling, Elsevier, vol. 36(C), pages 383-390.
    14. repec:jss:jstsof:27:i01 is not listed on IDEAS
    15. Robert Finger, 2010. "Review of ‘Robustbase’ software for R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1205-1210, November/.
    16. Luca Grassetti & Enrico Gori & Simona Caterina Minotti, 2005. "Multilevel flexible specification of the production function in health economics," Working Papers 20050402, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica.
    17. Kneib, Thomas & Petzoldt, Thomas, 2007. "Introduction to the Special Volume on "Ecology and Ecological Modeling in R"," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i01).
    18. Christian Kleiber & Achim Zeileis, 2005. "Validating multiple structural change models-a case study," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 685-690.
    19. Jorge Belaire-Franch & Dulce Contreras, 2002. "How to compute the BDS test: a software comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 691-699.
    20. Piotr Boniecki & Małgorzata Idzior-Haufa & Agnieszka A. Pilarska & Krzysztof Pilarski & Alicja Kolasa-Wiecek, 2019. "Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm," IJERPH, MDPI, vol. 16(18), pages 1-9, September.
    21. Portell, Xavier & Gras, Anna & Ginovart, Marta, 2014. "INDISIM-Saccha, an individual-based model to tackle Saccharomyces cerevisiae fermentations," Ecological Modelling, Elsevier, vol. 279(C), pages 12-23.
    22. Achim Zeileis & Friedrich Leisch & Christian Kleiber & Kurt Hornik, 2005. "Monitoring structural change in dynamic econometric models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 99-121, January.
    23. Lisa De Mattéo & Yan Holtz & Vincent Ranwez & Sèverine Bérard, 2018. "Efficient algorithms for Longest Common Subsequence of two bucket orders to speed up pairwise genetic map comparison," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-19, December.
    24. Jeff Racine & Rob Hyndman, 2002. "Using R to teach econometrics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 175-189.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:jss:jstsof:v:022:i09. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.