cancensus - Access, Retrieve, and Work with Canadian Census Data and Geography

Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016; 2021).

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9.42 score 89 stars 572 scripts 1.1k downloads

airportr - Convenience Tools for Working with Airport Data

Provides tools to work with airport data including lookup functions to translate between airport codes (IATA, ICAO) and names, as well as distance calculation functions using the Haversine formula. Airport data is sourced from OpenFlights and licensed under the ODC Open Database License (ODbL).

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6.41 score 11 stars 4 dependents 39 scripts 349 downloads

bayesiansurpriser - Bayesian Surprise for De-Biasing Thematic Maps

Implements Bayesian Surprise methodology for data visualization, based on Correll and Heer (2017) <doi:10.1109/TVCG.2016.2598839> "Surprise! Bayesian Weighting for De-Biasing Thematic Maps". Provides tools to weight event data relative to spatio-temporal models, highlighting unexpected patterns while de-biasing against known factors like population density or sampling variation. Integrates seamlessly with 'sf' for spatial data and 'ggplot2' for visualization. Supports temporal/streaming data analysis.

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5.30 score 570 downloads

griddy - Geospatial Distribution Dynamics for Simple Features

Tools for exploratory geospatial distribution dynamics with 'sf' objects and tidy data. Provides pooled and time-specific classification of longitudinal spatial values, classic discrete Markov transition matrices, spatial Markov matrices conditioned on spatial-lag classes, endpoint and adjacent rank mobility summaries, and 'ggplot2' visualizations. Methods follow Rey (2001) <doi:10.1111/j.1538-4632.2001.tb00444.x> and Rey et al. (2016) <doi:10.1007/s10109-016-0234-x>; design is inspired by the Python 'PySAL' 'giddy' package <https://pysal.org/giddy/>.

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4.18 score

acsmoe - Propagate Uncertainty for ACS Tabular Estimates

Utilities for propagating uncertainty in American Community Survey tabular workflows that use published estimates and margins of error, following U.S. Census Bureau derived-estimate guidance and complementing 'tidycensus' margin-of-error workflows. Includes covariance-aware derived estimates, simulation helpers, geographic aggregation, confidence-interval conversion, and reliability diagnostics.

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4.18 score