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Range of values | |
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Minimum: | 2.22045e-016 |
Maximum: | .705603 |
tall sea pen taxa~Class + Depth + I(Depth^2) + Block + Class:Depth + Depth:Block, # Class + Depth + I(Depth^2) + Block + Class:Depth + Depth:Block tryCatch(taxa39.glm <- glm(taxa~Class + Depth + I(Depth^2) + Block + Class:Depth + Depth:Block, family=binomial(link="logit"), data=taxa.df), warning = function(x) { output.df[39,"flag"] <<- 1 }, finally = taxa39.glm <- glm(taxa~Class + Depth + I(Depth^2) + Block + Class:Depth + Depth:Block, family=binomial(link="logit"), data=taxa.df) ) summary(taxa39.glm) MODEL SUMMARY: ============== Call: glm(formula = sea_whip ~ factor(Class) + Depth + I(Depth^2) + factor(Block) + factor(Class):Depth + Depth:factor(Block), family = binomial(link="logit"), data = na.omit(d)) Deviance Residuals: Min 1Q Median 3Q Max -2.6752 -0.4688 0.2572 0.7440 2.4073 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -6.5020723 0.8018151 -8.109 5.10e-16 *** factor(Class)2 1.1795472 1.0172347 1.160 0.246227 factor(Class)3 2.0205740 1.4088511 1.434 0.151515 Depth 0.1701365 0.0217273 7.831 4.86e-15 *** I(Depth^2) -0.0006330 0.0001684 -3.759 0.000171 *** factor(Block)2 2.1135103 0.7460851 2.833 0.004614 ** factor(Block)3 0.5578155 0.9309282 0.599 0.549037 factor(Class)2:Depth -0.0228452 0.0141944 -1.609 0.107518 factor(Class)3:Depth -0.0796149 0.0216159 -3.683 0.000230 *** Depth:factor(Block)2 -0.0528564 0.0118935 -4.444 8.83e-06 *** Depth:factor(Block)3 -0.0458373 0.0162593 -2.819 0.004815 ** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 1277.16 on 922 degrees of freedom Residual deviance: 724.72 on 912 degrees of freedom AIC: 746.72 Number of Fisher Scoring iterations: 6 Analysis of Deviance Table Model: binomial, link: logit Response: sea_whip Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev NULL 922 1277.16 factor(Class) 2 52.31 920 1224.84 Depth 1 391.71 919 833.13 I(Depth^2) 1 33.91 918 799.22 factor(Block) 2 41.53 916 757.70 factor(Class):Depth 2 10.41 914 747.29 Depth:factor(Block) 2 22.57 912 724.72 resample to 10 metersKrigsman, L.M., M.M. Yoklavich, E.J. Dick, and G.R. Cochrane (2012) Models and maps: predicting the distribution of corals and other benthic macro-invertebrates in shelf habitats. Ecosphere 3:1-16.
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Access_Constraints | None |
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Use_Constraints | USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey and NOAA National Marine Fisheries as the originator(s) of the dataset and in products derived from these data. This information is not intended for navigation purposes. |
Data format: | TIFF (version 9.3.1) Arcinfo grid Size: 877 |
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Network links: |
https://pubs.usgs.gov/ds/781/SantaBarbaraChannel/data/TallSeaPens_SantaBarbaraChannel.zip https://pubs.usgs.gov/ds/781/SantaBarbaraChannel/data_catalog_SantaBarbaraChannel.html https://pubs.usgs.gov/ds/781/ |