Other packages > Find by keyword >

geocomplexity  

Mitigating Spatial Bias Through Geographical Complexity
View on CRAN: Click here


Download and install geocomplexity package within the R console
Install from CRAN:
install.packages("geocomplexity")

Install from Github:
library("remotes")
install_github("cran/geocomplexity")

Install by package version:
library("remotes")
install_version("geocomplexity", "0.2.1")



Attach the package and use:
library("geocomplexity")
Maintained by
Wenbo Lv
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-24
Latest Update: 2024-11-11
Description:
The geographical complexity of individual variables can be characterized by the differences in local attribute variables, while the common geographical complexity of multiple variables can be represented by fluctuations in the similarity of vectors composed of multiple variables. In spatial regression tasks, the goodness of fit can be improved by incorporating a geographical complexity representation vector during modeling, using a geographical complexity-weighted spatial weight matrix, or employing local geographical complexity kernel density. Similarly, in spatial sampling tasks, samples can be selected more effectively by using a method that weights based on geographical complexity. By optimizing performance in spatial regression and spatial sampling tasks, the spatial bias of the model can be effectively reduced.
How to cite:
Wenbo Lv (2024). geocomplexity: Mitigating Spatial Bias Through Geographical Complexity. R package version 0.2.1, https://cran.r-project.org/web/packages/geocomplexity. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:42), 0.1.0 (2024-09-24 21:10), 0.2.0 (2024-10-03 10:00), 0.2.1 (2024-11-11 12:30)
Other packages that cited geocomplexity R package
View geocomplexity citation profile
Other R packages that geocomplexity depends, imports, suggests or enhances
Complete documentation for geocomplexity
Functions, R codes and Examples using the geocomplexity R package
Full geocomplexity package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

qdapTools  
Tools for the 'qdap' Package
A collection of tools associated with the 'qdap' package that may be useful outside of the context ...
Download / Learn more Package Citations See dependency  
unikn  
Graphical Elements of the University of Konstanz's Corporate Design
Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides col ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
electionsBR  
R Functions to Download and Clean Brazilian Electoral Data
Offers a set of functions to easily download and clean Brazilian electoral data from the Superior E ...
Download / Learn more Package Citations See dependency  
NScluster  
Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extension ...
Download / Learn more Package Citations See dependency  
mixl  
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Specification and estimation of multinomial logit models. Large datasets and complex models are su ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA