Other packages > Find by keyword >

mlspatial  

Machine Learning and Mapping for Spatial Epidemiology
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mlspatial", "0.1.1")



Attach the package and use:
library("mlspatial")
Maintained by
Adeboye Azeez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-26
Latest Update: 2025-08-26
Description:
Provides tools for the integration, visualisation, and modelling of spatial epidemiological data using the method described in Azeez, A., & Noel, C. (2025). 'Predictive Modelling and Spatial Distribution of Pancreatic Cancer in Africa Using Machine Learning-Based Spatial Model' <doi:10.5281/zenodo.16529986> and <doi:10.5281/zenodo.16529016>. It facilitates the analysis of geographic health data by combining modern spatial mapping tools with advanced machine learning (ML) algorithms. 'mlspatial' enables users to import and pre-process shapefile and associated demographic or disease incidence data, generate richly annotated thematic maps, and apply predictive models, including Random Forest, 'XGBoost', and Support Vector Regression, to identify spatial patterns and risk factors. It is suited for spatial epidemiologists, public health researchers, and GIS analysts aiming to uncover hidden geographic patterns in health-related outcomes and inform evidence-based interventions.
How to cite:
Adeboye Azeez (2025). mlspatial: Machine Learning and Mapping for Spatial Epidemiology. R package version 0.1.1, https://cran.r-project.org/web/packages/mlspatial. Accessed 14 Mar. 2026.
Previous versions and publish date:
0.1.0 (2025-08-26 21:40)
Other packages that cited mlspatial R package
View mlspatial citation profile
Other R packages that mlspatial depends, imports, suggests or enhances
Complete documentation for mlspatial
Functions, R codes and Examples using the mlspatial R package
Full mlspatial package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
modelROC  
Model Based ROC Analysis
The ROC curve method is one of the most important and commonly usedmethods for model accuracy assess ...
Download / Learn more Package Citations See dependency  
BeviMed  
Bayesian Evaluation of Variant Involvement in Mendelian Disease
A fast integrative genetic association test for rare diseases based on a model for disease status gi ...
Download / Learn more Package Citations See dependency  
POV  
Partition of Variation Variance Component Analysis Method
An implementation of the Partition Of variation (POV) method as developed by Dr. Thomas A Little ...
Download / Learn more Package Citations See dependency  
IMmailgun  
Send Emails using 'Mailgun'
Send emails using the 'mailgun' api. To use this package you will need an account from ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,526

Author Associations

26,294

Publication Badges

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