Krigsman, Lisa M., Yoklavich, Mary M., Cochrane, Guy R., and Golden, Nadine E., 2013, Short Sea Pens--Santa Barbara Channel, California:.This is part of the following larger work.
Krigsman, Lisa M., Yoklavich, Mary M., Cochrane, Guy R., and Golden, Nadine E., 2013, California State Waters Map Series Data Catalog: Data Series DS 781, U.S. Geological Survey, Reston, VA.Online Links:
This is a Raster data set. It contains the following raster data types:
The map projection used is WGS 1984 UTM Zone 11N.
Planar coordinates are encoded using coordinate pair
Abscissae (x-coordinates) are specified to the nearest 0.000000002220024164500956
Ordinates (y-coordinates) are specified to the nearest 0.000000002220024164500956
Planar coordinates are specified in Meter
The horizontal datum used is D WGS 1984.
The ellipsoid used is WGS 1984.
The semi-major axis of the ellipsoid used is 6378137.0.
The flattening of the ellipsoid used is 1/298.257223563.
Sequential unique whole numbers that are automatically generated.
Range of values | |
---|---|
Minimum: | 2.22045e-016 |
Maximum: | .705603 |
Sequential unique whole numbers that are automatically generated.
The authors would like to thank E.J. Dick (Fisheries Ecology Division, Southwest Fisheries Science Center, Santa Cruz, CA). He was a critical partner in the development of the predictive models used in this study.
(831) 420-3971 (voice)
(831) 420-3977 (FAX)
lisa.krigsman@noaa.gov
These data are intended for science researchers, students, policy makers, and the general public. The data can be used with geographic information systems (GIS) software to display oceanographic information.
Short 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_pen ~ 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 -1.4645 -0.7480 -0.3860 0.9540 2.9356 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -3.138e+00 6.630e-01 -4.733 2.21e-06 *** factor(Class)2 -9.053e+00 3.949e+00 -2.293 0.0219 * factor(Class)3 -1.622e+01 1.872e+03 -0.009 0.9931 Depth 1.337e-01 2.207e-02 6.059 1.37e-09 *** I(Depth^2) -1.420e-03 1.907e-04 -7.446 9.63e-14 *** factor(Block)2 -4.692e-01 5.494e-01 -0.854 0.3930 factor(Block)3 -5.054e+00 9.788e-01 -5.163 2.43e-07 *** factor(Class)2:Depth 1.005e-01 4.916e-02 2.045 0.0409 * factor(Class)3:Depth -1.080e-02 3.493e+01 -0.000309 0.9998 Depth:factor(Block)2 2.188e-02 8.514e-03 2.570 0.0102 * Depth:factor(Block)3 9.206e-02 1.755e-02 5.246 1.56e-07 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 1097.53 on 922 degrees of freedom Residual deviance: 861.56 on 912 degrees of freedom AIC: 883.56 Number of Fisher Scoring iterations: 16 Analysis of Deviance Table Model: binomial, link: logit Response: sea_pen Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev NULL 922 1097.53 factor(Class) 2 63.96 920 1033.57 Depth 1 15.64 919 1017.93 I(Depth^2) 1 78.00 918 939.92 factor(Block) 2 44.71 916 895.21 factor(Class):Depth 2 6.68 914 888.53 Depth:factor(Block) 2 26.97 912 861.56 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.
Pixel resolution 2 m.
On the order of 10 meters.
Please see SIM pamphlet, chapter 5, for
information about omissions, selection criteria, generalization,
definitions used, and other rules used to derive the data set.
Logical Consistency untested.
Are there legal restrictions on access or use of the data?
- Access_Constraints: None
- Use_Constraints:
- This information is not intended for navigational purposes.
Read and fully comprehend the metadata prior to data use. Uses of these data should not violate the spatial resolution of the data. Where these data are used in combination with other data of different resolution, the resolution of the combined output will be limited by the lowest resolution of all the data.
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This database has been approved for release and publication by the Director of the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use.
Although this Federal Geographic Data Committee-compliant metadata file is intended to document these data in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology.
(831) 420-3971 (voice)
(831) 420-3977 (FAX)
lisa.krigsman@noaa.gov