| EWHP {GWmodel} | R Documentation |
House price data set (DataFrame) in England and Wales
Description
A house price data set for England and Wales from 2001 with 9 hedonic (explanatory) variables.
Usage
data(EWHP)Format
A data frame with 519 observations on the following 12 variables.
- Easting
a numeric vector, X coordinate
- Northing
a numeric vector, Y coordinate
- PurPrice
a numeric vector, the purchase price of the property
- BldIntWr
a numeric vector, 1 if the property was built during the world war, 0 otherwise
- BldPostW
a numeric vector, 1 if the property was built after the world war, 0 otherwise
- Bld60s
a numeric vector, 1 if the property was built between 1960 and 1969, 0 otherwise
- Bld70s
a numeric vector, 1 if the property was built between 1970 and 1979, 0 otherwise
- Bld80s
a numeric vector, 1 if the property was built between 1980 and 1989, 0 otherwise
- TypDetch
a numeric vector, 1 if the property is detached (i.e. it is a stand-alone house), 0 otherwise
- TypSemiD
a numeric vector, 1 if the property is semi detached, 0 otherwise
- TypFlat
a numeric vector, if the property is a flat (or 'apartment' in the USA), 0 otherwise
- FlrArea
a numeric vector, floor area of the property in square metres
Author(s)
Binbin Lu binbinlu@whu.edu.cn
References
Fotheringham, A.S., Brunsdon, C., and Charlton, M.E. (2002), Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Chichester: Wiley.
Examples
###
data(EWHP)
head(ewhp)
houses.spdf <- SpatialPointsDataFrame(ewhp[, 1:2], ewhp)
####Get the border of England and Wales
data(EWOutline)
plot(ewoutline)
plot(houses.spdf, add = TRUE, pch = 16)