chen: Cross-correlation data from Chen (2015)
In spatialEco: Spatial Analysis and Modelling Utilities
chen R Documentation
Cross-correlation data from Chen (2015)
Description
Urbanization and economic development data from Chen (2015)
compiled from, National Bureau of Statistics of China
Format
A list object with 3 elements:
- X
per capita GRP(yuan)
- Y
Level of urbanization percent
- M
Railway Distance (km) matrix of 29 Chinese regions
Source
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0126158
References
Chen, Y.G. (2012) On the four types of weight functions for spatial contiguity
matrix. Letters in Spatial and Resource Sciences 5(2):65-72
Chen, Y.G. (2013) New approaches for calculating Moran’s index of spatial
autocorrelation. PLoS ONE 8(7):e68336
Chen, Y.G. (2015) A New Methodology of Spatial Cross-Correlation Analysis.
PLoS One 10(5):e0126158. doi:10.1371/journal.pone.0126158
spatialEco documentation built on Nov. 18, 2023, 1:13 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| chen | R Documentation |
Cross-correlation data from Chen (2015)
Description
Urbanization and economic development data from Chen (2015) compiled from, National Bureau of Statistics of China
Format
A list object with 3 elements:
- X
per capita GRP(yuan)
- Y
Level of urbanization percent
- M
Railway Distance (km) matrix of 29 Chinese regions
Source
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0126158
References
Chen, Y.G. (2012) On the four types of weight functions for spatial contiguity matrix. Letters in Spatial and Resource Sciences 5(2):65-72
Chen, Y.G. (2013) New approaches for calculating Moran’s index of spatial autocorrelation. PLoS ONE 8(7):e68336
Chen, Y.G. (2015) A New Methodology of Spatial Cross-Correlation Analysis. PLoS One 10(5):e0126158. doi:10.1371/journal.pone.0126158
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.