Zucchini, Walter; Erdelmeier, Martin; Borchers, David A wildlife simulation package (WiSP). (English) Zbl 1439.62049 Härdle, Wolfgang (ed.) et al., COMPSTAT. Proceedings in computational statistics. 15th symposium, Berlin, Germany, August 24–28, 2002. Heidelberg: Physica-Verlag. 141-146 (2002). Summary: WiSP is an R library of functions designed as a teaching tool to illustrate methods used to estimate the abundance of closed wildlife populations. It enables users to generate animal populations having realistically complex spatial and individual characteristics, to generate survey designs for a variety of survey techniques, to survey the populations and to estimate the abundance. It can be used to assess properties of estimators when the model assumptions are violated.For the entire collection see [Zbl 1023.00020]. MSC: 62-08 Computational methods for problems pertaining to statistics 62P12 Applications of statistics to environmental and related topics 62-04 Software, source code, etc. for problems pertaining to statistics Keywords:WiSP; statistical software; wildlife; abundance estimation Software:R; WiSP PDF BibTeX XML Cite \textit{W. Zucchini} et al., in: COMPSTAT. Proceedings in computational statistics. 15th symposium, Berlin, Germany, August 24--28, 2002. Heidelberg: Physica-Verlag. 141--146 (2002; Zbl 1439.62049) Full Text: DOI References: [1] Borchers, D.L., Buckland, S.T. & Zucchini W. (2002). Estimating Animal Abundance: closed populations, Springer-Verlag (in press). · Zbl 1002.62091 [2] Hornik (2002), “The R FAQ”, http://www.gnu.org/copyleft/gpl.html [3] Ihaka, Ross and Gentleman, Robert (1996), R: A Language for Data Analysis and Graphics, Journal of Computational and Graphical Statistics, 5(3), 299-314. [4] Seber, G. This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.