sealPolys: A polygon file with data on harbor seal trends in southeast...

In jayverhoef/ZVHdata: Data Sets for Spatial Linear Models for Environmental Data

A polygon file with data on harbor seal trends in southeast Alaska, USA.

Description

A polygon file for southeast Alaska, USA, of object type sf. The data.frame contains 306 polygons with estimated trends of harbor seals for each polygon, and 157 polygons with missing data.

Usage

data(sealPolys)

Format

A sf object. The projection is in Alaska Alber, EPSG:3338. The data.frame has 463 records and 7 variables:

polyid

A factor variable with 1307 levels for all harbor seal polygons in Alaska. Only 463 of these occur in southeast Alaska. Each polygon has a unique polyid.

stockid

An integer from 8 to 12. There are 5 distinct genetic stocks for harbor seals in southeast Alaska, and each polygon is associated with one of the 5 stocks. Numbers 1 to 7, and 13, are stocks elsewhere in Alaska

stockname

A factor variablewith 13 levels, which are the names of the stocks.

Estimate

The estimated trend of harbor seal abundance in each polygon, which was a linear estimate on the log scale using Poisson regression. We treat this as the response variable. 157 polygons have missing data on trends.

StdErr

The estimated standard error of the estimated trend (on the log scale). We ignore this for demonstration purposes.

x

x-coordinate of the polygon centroid.

y

y-coordinate of the polygon centroid.

Source

These data were collected by the Polar Ecosystem Program of the Marine Mammal Laboratory of the Alaska Fisheries Science Center of NOAA Fisheries. The data were used in the publication given below.

The data and code for the analyses were permanently archived as an R package at link to: Zenodo. Here, we simplified the data into a single SpatialPolygonsDataFrame. It was subsequently converted to sf using st_as_sf function.

References

Ver Hoef, J.M., Peterson, E. E., Hooten, M. B., Hanks, E. M., and Fortin, M.-J. 2018. Spatial Autoregressive Models for Statistical Inference from Ecological Data. Ecological Monographs, 88: 36-59. DOI: 10.1002/ecm.1283
Link to:link to: Spatial Autoregressive Models for Statistical Inference from Ecological Data..

Examples

library(ZVHdata)
library(sf)
data(sealPolys)
names(sealPolys)
summary(sealPolys)
plot(sealPolys)
boxplot(Estimate ~ as.factor(stockid), data = sealPolys)
summary(lm(Estimate ~ as.factor(stockid), data = sealPolys))

jayverhoef/ZVHdata documentation built on Oct. 22, 2022, 8:35 p.m.