Comparison of the areas in km2 estimated for the four buffalo GPS collar sets of data (n points) by the 95% and 100% isopleths for nonparametric (LoCoH) and parametric kernela methods.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Comparison_of_the_areas_in_km_2_estimated_for_the_four_buffalo_GPS_collar_sets_of_data_n_points_by_the_95_and_100_isopleths_for_nonparametric_LoCoH_and_parametric_kernel_a_methods_/623936
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For the k, r, and a-LoCoH methods the parameters used, as described in the text, are the heuristic values k1, r1, and a1 and the MSHC value â (given in parentheses).aImplemented in Animal Movement Extension for ArcView 3.x [29] using Silverman's ad-hoc method for selecting the smoothing parameter h[14].
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2015-12-02
