ColOpenData is a package designed to access curatedand wrangled Colombian demographic, geospatial, climate and populationprojections data, retrieved from various open Colombian data sources.The package addresses the challenge of scattered Colombian data acrossmultiple web sources by providing functions that enable users to selectand load desired datasets without the need for extensive dataacquisition processes. Additionally, the tidy data structure offered fordemographic and climate data facilitates analysis and visualization.
ColOpenData is developed atUniversidad de Los Andes as partof theEpiverse-TRACEprogram.
You can install the CRAN version of ColOpenData with:
install.packages("ColOpenData")You can also install the development version of ColOpenData fromGitHub with:
# install.packages("pak")pak::pak("epiverse-trace/ColOpenData")ColOpenData contains data from two public datasources: Departamento Administrativo Nacional de Estadística (DANE), andInstituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM).The available data is divided in four categories:
Demographic: Demographic and Socioeconomic datapresents information from the National Population and Dwelling Census(CNPV) of 2018. The CNPV data corresponds to the most recent censusavailable to date and the information is presented as an answer to threequestions: How many are we?, Where are we? and How do we live?
Geospatial: This data is retrieved from theNational Geostatistical Framework (MGN), which includes maps and asummarized version of the 2018 CNPV, aggregated to spatial geometries.The data is available at different aggregation levels including: Blocks,Urban and Rural Sections, Urban and Rural Sectors, Urban Areas,Municipalities and Departments.
Climate: Climate data is recovered from backupinformation provided by IDEAM, containing historical data from the firststation in the country (January 1st 1920) until May 31st 2023. Thisbackup includes temperature, precipitation, sunshine duration, winddirection, among others.
Population projections: Population Projectionsdata contains the population projections and back projections from 1950to 2070, considering the post COVID-19 update, which was calculatedbased on the results of 2018 CNPV.
Documentation and vignettes are available for the modules in theuservignettes.
Similar R packages are offered for international communities,allowing the user to download census, geospatial and climate data.
ColOpenData stores and distributes open data originally obtained fromDepartamento Administrativo Nacional de Estadística (DANE), andInstituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM). Itis important to note that the data retrieved from these sources has beenprocessed, transformed, and adapted to meet the functional requirementsof this package. These modifications may result in changes to thestructure, format, or content of the original data, and as such, thedata provided by this package does not represent the official datasetsas maintained by IDEAM or DANE. The development of this package iscompletely independent of these institutions, and neither IDEAM, DANE,nor any other Colombian government body endorses, sponsors, or isinvolved in the creation or maintenance of this package. Consequently,they bear no responsibility for the data as presented within thispackage. Furthermore, the authors of the ColOpenData assume no liabilityfor any outcomes resulting from the use or misuse of the data provided.The user is solely responsible for how they utilize the data, and anyconclusions drawn, analyses performed, or actions taken based on thisdata are the user’s responsibility. This package and its authors make noclaims to represent or act on behalf of IDEAM, DANE, or any otherofficial entity.
This package is currentlystable, as defined by theRECON softwarelifecycle. Therefore, this is a functional package and it isdocumented and tested. However, it still may change over time.
Contributions are welcome viapullrequests.
Please note that the ColOpenData project is released with aContributorCode of Conduct. By contributing to this project, you agree to abideby its terms.
This work is part of the TRACE-LAC research project funded by theInternational Research Centre (IDRC) Ottawa, Canada.[109848-001-].