nysp: 'SpatialPolygonsDataFrame' for New York leukemia data.

nyspR Documentation

SpatialPolygonsDataFrame for New York leukemia data.

Description

A SpatialPolygonsDataFrame object containing New York leukemia data. Methods for SpatialPolygonsDataFrame are provided by the sp package, which must be loaded to make full use of this data format.

The number of incident leukemia cases from 1978-1982 per census tract for an 8-county region of upstate New York.

This is the same data as in nydf in a different format.

Note that the coordinates in the polygons have been projected to a different coordinate system (UTM, zone 18) compared to nydf, but the order of the regions/polygons is the same as in nydf.

Usage

data(nysp)

Format

A SpatialPolygonsDataFrame with 281 rows and 17 columns:

areaname

The name of the region.

areakey

Census tract id.

xorig

x-coordinate associated with the centroid of each region on the ORIGINAL scale.

yirug

y-coordinate associated with the centroid of each region on the ORIGINAL scale.

pop8

The population (1980 census) of the region.

tractcas

The number of leukemia cases between 1978-1982, rounded to two decimal places.

propcas

The proportion of cases relative to population.

pctownhome

The percentage of homeowners in the tract.

pctage65p

The percentage of residents aged 65 or older.

Z

A transformation of exposure to TCE, specifically log(1000(TCE + 1)/pop8).

avgidist

Average inverse distance to the nearest TCE site.

pexpossure
cases

The number of leukemia cases between 1978-1982.

xm

A shifted version of x.

ym

A shifted version of y.

x

x-coordinate associated with the centroid of each region.

y

y-coordinate associated with the centroid of each region.

Source

Waller, L.A. and Gotway, C.A. (2005). Applied Spatial Statistics for Public Health Data. Hoboken, NJ: Wiley.

Bivand, R. S., Pebesma, E. J., Gomez-Rubio, V., and Pebesma, E. J. (2013). Applied Spatial Data Analysis with R, 2nd edition. New York: Springer.


jfrench/smerc documentation built on Oct. 27, 2024, 5:13 p.m.