The residential land parcel data leased to real estate developers from the government during 2003 to 2009. The data contains price information and a range of locational and neighbourhood characteristics for each land parcel. There are 1117 samples in the data after dropping those without price information.
A data frame with 1117 observations on the following 11 variables.
An unique identifier for each land parcel.
The log of the leasing price per square metre of each residential land parcel (unit: RMB, Chinese yuan)
The log of the distance of each land parcel to the nearest railway station (unit:meters)
The log of the distance of each land parcel to the nearest elementary school (unit:meters)
The log of the distance of each land parcel to the nearest green park (unit:meters)
The log of the size of each land parcel (unit: square meters).
The log of the distance of each land parcel to the CBD (centre business district) in Beijing (unit:meters)
The year when each land parcel was leased with values of 0,1,2,3,4,5,6 representing year 2003,2004,2005,2006,2007,2008,2009
The population density of each district (unit: 1000 persons per square kilometers)
The number of reported serious crimes committed in each district per 1000 persons.
The identifier of the district where each land parcel is located.
Harris, R., G.P. Dong, and W.Z. Zhang. (2013).Using Contextualised Geographically Weighted Regression to model the Spatial Heterogeneity of Land Prices in Beijing, China. Transaction in GIS 17(6), 901-19.
Dong G, Harris R, Jones K, Yu J (2015) Multilevel Modelling with Spatial Interaction Effects with Application to an Emerging Land Market in Beijing, China. PLoS ONE 10(6): e0130761. doi:10.1371/journal.pone.0130761
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