Population Experimental Design (PopED) in R
Tools for estimating, measuring and working with migration data.
Random Forest-informed Population Disaggregation R package
Original data from Bairoch, Batou, Chevre (1988)
Project Population Development
Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖
Repo for development and production of the population estimates app. See also https://www2.gov.bc.ca/gov/content/data/statistics/people-population-community/population
Currently Obsolete as of 1/2025 - A way to Create an EJSCREEN-style dataset
A new tool for detecting changes in dynamic rules in population time series data
Age-structured stochastic population model to simulate feral pig control and eradication scenarios on Kangaroo Island, South Australia
The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.
R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection
R package for creating simulated integral/matrix population models. Developed as part of my PhD
Built-Settlement Growth Model interpolation (BSGMi) is an interpolative model that allows for the spatial prediction of annual built-settlement (B-S) extents given observed extents at two different time points. Published article DOI 10.1016/j.compenvurbsys.2019.101444
The dataset provides demographic, economic, environmental, and health data by county to determine retirement location. All United States counties are included.
Repo for development and production of the population projections app. See also https://www2.gov.bc.ca/gov/content/data/statistics/people-population-community/population
A Bayesian reconstruction of a historical population in Finland 1647-1850
Modeling the impact of population aging on demand for healthcare. Project code: 1045.
Simulation framework for realistic large-scale individual-level health data generation
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