The goal of the popmex package is to provide spatial population dataset at different levels of resolution.
hdx_pop2023. Population Density for 400m H3 Hexagons of Mexico for 2023
hdx_pop2022. Population Density for 400m H3 Hexagons of Mexico for
hdx_pop2021. Population Density for 400m H3 Hexagons of Mexico for
LandScan. 2003-2024.
LandScan (https://landscan.ornl.gov) is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move.
pop2020. Population by municipality from ITER 2020.
pop2010. Population by municipality from ITER 2010.
The population data by total number and sex for each municipality were obtained from the dataset of territorial indicators known as ITER (Indicadores Territoriales), which is a database derived from the 2020 Population and Housing Census generated by Instituto Nacional de Estadística y Geografía of Mexico (INEGI).
The development version of the densnv package is hosted on GitHub and can be installed in R with several packages: devtools, remotes, renv and pak.
# install.packages("pak")
#pak::pkg_install("fdzul/popmex")The spatial dataset provided in the package were accessed from the HUMANITARIAN DATA EXCHANGE [HDX] page (https://data.humdata.org)
This project is licensed under the MIT license - see the file LICENSE.md for more details.
The spatial dataset provided by the package were inspired by the need to contribute to decision making in programs of Vector Transmitted Diseases (VTE) and Arthropod Venom Intoxication (IVA) of the CENAPRECE of the Secretary of Health of Mexico
If you find a bug in the code, please submit a minimal reproducible example on github. For questions and other discussions, do not hesitate to contact me (felipe.dzul.m@gmail.com)
Please note that this project is published with a Code of Conduct. By participating in this project you agree to comply with its terms.