landprice: Leased residential land parcels, from 2003 to 2009 in...
In HSAR: Hierarchical Spatial Autoregressive Model
Description
Usage
Format
References
See Also
Examples
Description
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.
Usage
1
Format
A data frame with 1117 observations on the following 11 variables.
- obs
An unique identifier for each land parcel.
- lnprice
The log of the leasing price per square metre of each residential land parcel (unit: RMB, Chinese yuan)
- dsubway
The log of the distance of each land parcel to the nearest railway station (unit:meters)
- dele
The log of the distance of each land parcel to the nearest elementary school (unit:meters)
- dpark
The log of the distance of each land parcel to the nearest green park (unit:meters)
- lnarea
The log of the size of each land parcel (unit: square meters).
- lndcbd
The log of the distance of each land parcel to the CBD (centre business district) in Beijing (unit:meters)
- year
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
- popden
The population density of each district (unit: 1000 persons per square kilometers)
- crimerate
The number of reported serious crimes committed in each district per 1000 persons.
- district.id
The identifier of the district where each land parcel is located.
References
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
See Also
Examples
1
2
HSAR documentation built on July 2, 2020, 3:13 a.m.
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Description Usage Format References See Also Examples
Description
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.
Usage
1 |
Format
A data frame with 1117 observations on the following 11 variables.
- obs
An unique identifier for each land parcel.
- lnprice
The log of the leasing price per square metre of each residential land parcel (unit: RMB, Chinese yuan)
- dsubway
The log of the distance of each land parcel to the nearest railway station (unit:meters)
- dele
The log of the distance of each land parcel to the nearest elementary school (unit:meters)
- dpark
The log of the distance of each land parcel to the nearest green park (unit:meters)
- lnarea
The log of the size of each land parcel (unit: square meters).
- lndcbd
The log of the distance of each land parcel to the CBD (centre business district) in Beijing (unit:meters)
- year
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
- popden
The population density of each district (unit: 1000 persons per square kilometers)
- crimerate
The number of reported serious crimes committed in each district per 1000 persons.
- district.id
The identifier of the district where each land parcel is located.
References
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
See Also
Examples
1 2 |
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