spatstat: Spatial Point Pattern analysis, modelfitting and simulation. R package version
نویسندگان
چکیده
Author Adrian Baddeley and Rolf Turner , with substantial contributions of code by Marie-Colette van Lieshout, Rasmus Waagepetersen, Kasper Klitgaard Berthelsen and Dominic Schuhmacher. Additional contributions by Ang Qi Wei, C. Beale, B. Biggerstaff, R. Bivand, F. Bonneu, J. Burgos, J.B. Chen, Y.C. Chin, M. de la Cruz, P.J. Diggle, S. Eglen, A. Gault, M. Genton, P. Grabarnik, C. Graf, J. Franklin, U. Hahn, M. Hering, M.B. Hansen, M. Hazelton, J. Heikkinen, K. Hornik, R. Ihaka, R. John-Chandran, D. Johnson, J. Laake, J. Mateu, P. McCullagh, X.C. Mi, J. Moller, L.S. Nielsen, E. Parilov, J. Picka, M. Reiter, B.D. Ripley, B. Rowlingson, J. Rudge, A. Sarkka, K. Schladitz, B.T. Scott, I.-M. Sintorn, M. Spiess, M. Stevenson, P. Surovy, B. Turlach, A. van Burgel, H. Wang and S. Wong.
منابع مشابه
spatstat: An R Package for Analyzing Spatial Point Patterns
spatstat is a package for analyzing spatial point pattern data. Its functionality includes exploratory data analysis, model-fitting, and simulation. It is designed to handle realistic datasets, including inhomogeneous point patterns, spatial sampling regions of arbitrary shape, extra covariate data, and ‘marks’ attached to the points of the point pattern. A unique feature of spatstat is its gen...
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This paper describes practical techniques for fitting stochastic models to spatial point pattern data using the statistical language R. The techniques are demonstrated with a detailed analysis of two real datasets. We have implemented the techniques as a package spatstat in the R language. Both spatstat and R are freely available from the R website [19]. Sections 2 and 3 introduce the spatstat ...
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The R package spatstat provides a very flexible and useful framework for analyzing spatial point patterns. A fundamental feature is a procedure for fitting spatial point process models depending on covariates. However, in practice one often faces incomplete observation of the covariates and this leads to parameter estimation error which is difficult to quantify. In this paper we introduce a Mon...
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