demography

Predict age and gender from a first name

demography package for R

Trait-Driven Models of Ecology and Evolution 🌲

Access UK official statistics from the Nomis database through R.

[Meta R-package on CRAN] Analyse forest diversity and dynamics

Tools for estimating, measuring and working with migration data.

R Package - Analysis of Archaeological Mortality Data

Fit and compare the most popular human mortality laws - R package

KAPSARC OpenData has energy critical datasets for sixteen themes namely Crude Oil & Refined Products, Natural Gas, Coal, Renewable & Alternative Fuels Nuclear, Oil & Gas, Electricity, Coal, Nuclear, Transportation, Industry, Residential, Agriculture Electricity, Environment, Economy, Demography, Trade, Water and Policies.

material for a review on capture-recapture methods and questions

Research compedium for "Approaching Prehistoric Demography: Proxies, Scales and Scope of the Cologne Protocol in European contexts" including a manual of the Cologne Protocol

R code for reproducing age-structured models of ancient humans entering Sahul

R package to manage ACS files

Biblioteca para el análisis municipal, estatal y nacional de los datos demográficos abiertos sobre COVID-19 en México

Check how pythonic a Github user is.

Indirect Estimation Methods for Measurement of Demographic Indicators - R package

Spark data source example: connecting to an open-data API

Standard tools to compare and evaluate mortality forecasting methods

Location-Scale Models in Demography: A Useful Re-parameterization of Mortality Models

[R-package on CRAN] Analyze fgeo data.

Research compedium for "Approaching Prehistoric Demography: Proxies, Scales and Scope of the Cologne Protocol in European contexts" including a manual of the Cologne Protocol for QGIS 3.10

Excel sheets, Stata do files and other resources related to the article 'Pathways to Low Fertility' by Ian Timaeus and Tom Moultrie

CoalQC:Quality assessment of genomic datasets for Coalescent inferences

Eddie's Brass Relational Logit Mortality Model Code

This article introduces artificial neural networks as a computational tool to utilize legacy archaeological data for precisely and accurately estimating dates of residential site occupation. The implementation of this deep learning algorithm can provide high-resolution demographic reconstructions of a study area from non-collection, non-invasive, and non-destructive data collection methods that only record frequencies of artifact types on the contemporary ground surface. The utility of this deep learning algorithm is presented through an example from the central Mesa Verde region in the northern US Southwest. Results show a properly trained artificial neural network predicts annual residential occupation with an average 93.5% accuracy from AD 450–1300. An annual demographic reconstruction of the central Mesa Verde region is also presented.

Eddie's Stochastic Population Forecast Code

Flexibly implement Integral Projection Models (IPMs)

Forecast mortality using Compositional Data Lee-Carter model - R Package

An Individual-based Forest VOC Emission Model built on top of the state-of-the-art Forest Gap Model UVAFME