Showing 6 of total 6 results (show query)
walkerke
tidycensus:Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Maintained by Kyle Walker. Last updated 2 months ago.
55.0 match 647 stars 14.27 score 7.5k scripts 10 dependents
elipousson
getACS:Help Wrangling American Community Survey Data from tidycensus
A package with helper functions for working with Census data downloaded with the tidycensus package.
Maintained by Eli Pousson. Last updated 1 months ago.
american-community-surveytidycensus
18.0 match 4 stars 4.68 score 10 scripts
idblr
ndi:Neighborhood Deprivation Indices
Computes various geospatial indices of socioeconomic deprivation and disparity in the United States. Some indices are considered "spatial" because they consider the values of neighboring (i.e., adjacent) census geographies in their computation, while other indices are "aspatial" because they only consider the value within each census geography. Two types of aspatial neighborhood deprivation indices (NDI) are available: including: (1) based on Messer et al. (2006) <doi:10.1007/s11524-006-9094-x> and (2) based on Andrews et al. (2020) <doi:10.1080/17445647.2020.1750066> and Slotman et al. (2022) <doi:10.1016/j.dib.2022.108002> who use variables chosen by Roux and Mair (2010) <doi:10.1111/j.1749-6632.2009.05333.x>. Both are a decomposition of multiple demographic characteristics from the U.S. Census Bureau American Community Survey 5-year estimates (ACS-5; 2006-2010 onward). Using data from the ACS-5 (2005-2009 onward), the package can also compute indices of racial or ethnic residential segregation, including but limited to those discussed in Massey & Denton (1988) <doi:10.1093/sf/67.2.281>, and additional indices of socioeconomic disparity.
Maintained by Ian D. Buller. Last updated 7 months ago.
censuscensus-apicensus-datadeprivationdeprivation-statsdisparitygeospatialgeospatial-datametric-developmentprincipal-component-analysissegregation-measuressocio-economic-indicators
3.2 match 21 stars 6.67 score 7 scripts 1 dependents
marketbridge
zctaCrosswalk:Crosswalk Between 2020 Census ZIP Code Tabulation Areas (ZCTAs), States and Counties
Contains the US Census Bureau's 2020 ZCTA to County Relationship File, as well as convenience functions to translate between States, Counties and ZIP Code Tabulation Areas (ZCTAs).
Maintained by Ari Lamstein. Last updated 2 years ago.
3.8 match 5 stars 5.39 score 11 scripts 1 dependents
chris-prener
areal:Areal Weighted Interpolation
A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple variables in a single function call. These tools provide a full-featured workflow for validation and estimation that fits into both modern data management (e.g. tidyverse) and spatial data (e.g. sf) frameworks.
Maintained by Christopher Prener. Last updated 3 years ago.
1.3 match 93 stars 8.88 score 106 scripts 4 dependents
elbersb
segregation:Entropy-Based Segregation Indices
Computes segregation indices, including the Index of Dissimilarity, as well as the information-theoretic indices developed by Theil (1971) <isbn:978-0471858454>, namely the Mutual Information Index (M) and Theil's Information Index (H). The M, further described by Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> and Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008>, is a measure of segregation that is highly decomposable. The package provides tools to decompose the index by units and groups (local segregation), and by within and between terms. The package also provides a method to decompose differences in segregation as described by Elbers (2021) <doi:10.1177/0049124121986204>. The package includes standard error estimation by bootstrapping, which also corrects for small sample bias. The package also contains functions for visualizing segregation patterns.
Maintained by Benjamin Elbers. Last updated 1 years ago.
entropysegregationstatisticscpp
1.1 match 36 stars 6.44 score 51 scripts