This data set is sampled from a house price data set provided by the Nationwide Building Society of the UK, and combined with various hedonic variables.
data(LNHP)A “SpatialPointsDataFrame” object named “LN.prop”.
In this data set, attributes are interpreted as follows:
PURCHASE: sale price in GBP
FLOORSZ: floor size of the property in square metres;
BATH2: 1 if the property has 2 or more bathrooms, 0 otherwise;
BEDS2: 1 if the property has 2 or more bedrooms, 0 otherwise;
CENTHEAT: 1 if the property has central heating, 0 otherwise;
GARAGE1: 1 if the property has one or more garages, 0 otherwise;
BLDPWW1: 1 if the property was built prior to 1914, 0 otherwise;
BLDINTW: is 1 if the property was built between 1914 and 1939, 0 otherwise;
BLD60S: 1 if the property was built between 1960 and 1969, 0 otherwise;
BLD70S: 1 if the property was built between 1970 and 1979, 0 otherwise;
BLD80S: 1 if the property was built between 1980 and 1989, 0 otherwise;
BLD90S: 1 if the property was built between 1990 and 2000, 0 otherwise;
TYPEDETCH: 1 if the property is detached (i.e. it is stand-alone), 0 otherwise;
TYPETRRD: 1 if the property is in a terrace of similar houses, 0 otherwise;
TYPEFLAT: 1 if the property is a flat or apartment, 0 otherwise;
PROF: percentage of the workforce in professional or managerial occupations in the census enumeration district in which the house is located.
UNEMPLOY: percentage of unemployment in the census enumeration district in which the house is located.
X: X coordinate.
Y: Y coordinat.
Lu, B., M. Charlton, P. Harris & A. S. Fotheringham (2014) Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data. International Journal of Geographical Information Science, 28, 660-681.