+* Words that throw a NOTE by DEBIAN and WINDOWS pre-tests as possibly misspelled but are OK: "geospatial"
* The win-builder oldrelease throws a NOTE that "Author field differs from that derived from Authors@R". The behavior is OK because ORCID has different formatting but same information
* Some tests and examples for `anthopolos()`, `atkinson()`, `bell()`, `bemanian_beyer()`, `bravo()`, `denton()`, `denton_cuzzort()`, `duncan()`, `duncan_cuzzort()`, `duncan_duncan()`, `gini()`, `hoover()`, `james_taeuber()`, `krieger()`, `lieberson()`, `massey()`, `massey_duncan()`, `messer()`, `powell_wiley()`, `sudano()`, `theil()`, `white()`, and `white_blau()` functions require a Census API key so they are skipped if NULL or not run
diff --git a/inst/CITATION b/inst/CITATION
index e2c9789..e0866b7 100755
--- a/inst/CITATION
+++ b/inst/CITATION
@@ -3,7 +3,7 @@ bibentry(bibtype = 'manual',
author = as.person('Ian D. Buller'),
publisher = 'The Comprehensive R Archive Network',
year = '2025',
- number = '0.2.0.',
+ number = '0.2.1.',
doi = '10.32614/CRAN.package.ndi',
url = 'https://cran.r-project.org/package=ndi',
@@ -11,7 +11,7 @@ bibentry(bibtype = 'manual',
paste('Ian D. Buller (2025)',
'ndi: Neighborhood Deprivation Indices.',
'The Comprehensive R Archive Network.',
- 'v0.2.0.',
+ 'v0.2.1.',
'DOI:10.32614/CRAN.package.ndi',
'Accessed by: https://cran.r-project.org/package=ndi'),
diff --git a/man/ndi-package.Rd b/man/ndi-package.Rd
index 1620169..b5a5770 100644
--- a/man/ndi-package.Rd
+++ b/man/ndi-package.Rd
@@ -33,7 +33,7 @@ Key content of the 'ndi' package include:\cr
\code{\link{sudano}} Computes the aspatial Location Quotient (\emph{LQ}) based on Merton (1939) \doi{10.2307/2084686} and Sudano et al. (2013) \doi{10.1016/j.healthplace.2012.09.015}.
-\code{\link{theil}} Computes the aspatial Entropy (\emph{H}) based on Theil (1972; ISBN-13:978-0-444-10378-9) and Theil & Finizza (1971) \doi{110.1080/0022250X.1971.9989795}.
+\code{\link{theil}} Computes the aspatial Entropy (\emph{H}) based on Theil (1972; ISBN-13:978-0-444-10378-9) and Theil & Finizza (1971) \doi{10.1080/0022250X.1971.9989795}.
\emph{Indices of Racial or Ethnic Residential Exposure}
@@ -71,7 +71,7 @@ Key content of the 'ndi' package include:\cr
\code{\link{morgan_massey}} Computes the aspatial Distance-Decay Isolation Index (\emph{DPxx\*}) based on Morgan (1986) \url{https://www.jstor.org/stable/20001935} and Massey & Denton (1988) \doi{10.1093/sf/67.2.281}.
-\code{\link{white_blau}} Computes an index of spatial proximity (\emph{SP}) based on White (1986) \doi{10.2307/3644339} \url{} and Blau (1977; ISBN-13:978-0-029-03660-0).
+\code{\link{white_blau}} Computes an index of spatial proximity (\emph{SP}) based on White (1986) \doi{10.2307/3644339} and Blau (1977; ISBN-13:978-0-029-03660-0).
\strong{Additional Indices of Socioeconomic Disparity}
diff --git a/man/theil.Rd b/man/theil.Rd
index a9e11df..c78bd9f 100644
--- a/man/theil.Rd
+++ b/man/theil.Rd
@@ -42,7 +42,7 @@ An object of class 'list'. This is a named list with the following components:
Compute the aspatial Entropy (Theil) of selected racial or ethnic subgroup(s) and U.S. geographies
}
\details{
-This function will compute the aspatial Entropy (\emph{H}) of selected racial or ethnic subgroups and U.S. geographies for a specified geographical extent (e.g., the entire U.S. or a single state) based on Theil (1972; ISBN-13:978-0-444-10378-9) and Theil & Finizza (1971) \doi{110.1080/0022250X.1971.9989795}. This function provides the computation of \emph{H} for any of the U.S. Census Bureau race or ethnicity subgroups (including Hispanic and non-Hispanic individuals).
+This function will compute the aspatial Entropy (\emph{H}) of selected racial or ethnic subgroups and U.S. geographies for a specified geographical extent (e.g., the entire U.S. or a single state) based on Theil (1972; ISBN-13:978-0-444-10378-9) and Theil & Finizza (1971) \doi{10.1080/0022250X.1971.9989795}. This function provides the computation of \emph{H} for any of the U.S. Census Bureau race or ethnicity subgroups (including Hispanic and non-Hispanic individuals).
The function uses the \code{\link[tidycensus]{get_acs}} function to obtain U.S. Census Bureau 5-year American Community Survey characteristics used for the aspatial computation. The yearly estimates are available for 2009 onward when ACS-5 data are available (2010 onward for \code{geo_large = 'cbsa'} and 2011 onward for \code{geo_large = 'place'}, \code{geo_large = 'csa'}, or \code{geo_large = 'metro'}) but may be available from other U.S. Census Bureau surveys. The twenty racial or ethnic subgroups (U.S. Census Bureau definitions) are:
\itemize{
diff --git a/vignettes/ndi2.Rmd b/vignettes/ndi2.Rmd
index 9ff9f92..dbd0cb4 100644
--- a/vignettes/ndi2.Rmd
+++ b/vignettes/ndi2.Rmd
@@ -41,7 +41,7 @@ Since version v0.1.1, the [*ndi*](https://CRAN.R-project.org/package=ndi) packag
* `james_taeuber()` function that computes the Dissimilarity Index (*D*) based on [James & Taeuber (1985)](https://doi.org/10.2307/270845)
* `gini()` function that computes the Gini Index (*G*) based on [Gini (1921)](https://doi.org/10.2307/2223319)
- * `theil()` function that computes Entropy (*H*) based on Theil (1972; ISBN:978-0-444-10378-9) and [Theil & Finizza (1971)](https://doi.org/110.1080/0022250X.1971.9989795)
+ * `theil()` function that computes Entropy (*H*) based on Theil (1972; ISBN:978-0-444-10378-9) and [Theil & Finizza (1971)](https://doi.org/10.1080/0022250X.1971.9989795)
* `atkinson()` function that computes the Atkinson Index (*A*) based on [Atkinson (1970)](https://doi.org/10.1016/0022-0531(70)90039-6)
* `duncan()` function that computes the Dissimilarity Index (*D*) based on [Duncan & Duncan (1955a)](https://doi.org/10.2307/2088328)
* `sudano()` function that computes the Location Quotient (*LQ*) based on [Merton (1939)](https://doi.org/10.2307/2084686) and [Sudano et al. (2013)](https://doi.org/10.1016/j.healthplace.2012.09.015)
@@ -198,7 +198,7 @@ ggplot() +
#### Compute Entropy (*H*)
-Compute racial or ethnic *H* (2010-2014 5-year ACS) for census tracts within metropolitan divisions of Pennsylvania. This metric is based on Theil (1972; ISBN:978-0-444-10378-9) and [Theil & Finizza (1971)](https://doi.org/110.1080/0022250X.1971.9989795). *H* is a measure of the evenness of racial or ethnic residential segregation when comparing smaller geographical units to larger ones within which the smaller geographical units are located. *H* can range in value from 0 to 1 and represents the (weighted) average deviation of each smaller geographical unit from the larger geographical unit's "entropy" or racial and ethnic diversity, which is greatest when each group is equally represented in the larger geographical unit. *H* varies between 0, when all smaller geographical units have the same racial or ethnic composition as the larger geographical area (i.e., maximum integration), to a high of 1, when all smaller geographical units contain one group only (maximum segregation).
+Compute racial or ethnic *H* (2010-2014 5-year ACS) for census tracts within metropolitan divisions of Pennsylvania. This metric is based on Theil (1972; ISBN:978-0-444-10378-9) and [Theil & Finizza (1971)](https://doi.org/10.1080/0022250X.1971.9989795). *H* is a measure of the evenness of racial or ethnic residential segregation when comparing smaller geographical units to larger ones within which the smaller geographical units are located. *H* can range in value from 0 to 1 and represents the (weighted) average deviation of each smaller geographical unit from the larger geographical unit's "entropy" or racial and ethnic diversity, which is greatest when each group is equally represented in the larger geographical unit. *H* varies between 0, when all smaller geographical units have the same racial or ethnic composition as the larger geographical area (i.e., maximum integration), to a high of 1, when all smaller geographical units contain one group only (maximum segregation).
```{r theil_prep, results = 'hide'}
theil2014PA <- theil(
@@ -848,7 +848,7 @@ ggplot() +
Compute the racial or ethnic *ACE* values (2013-2017 5-year ACS) for census block groups within census-designated places of Connecticut. This metric is based on Duncan, Cuzzort, & Duncan (1961; LC:60007089) and [Massey & Denton (1988)](https://doi.org/10.1093/sf/67.2.281). *ACE* is a measure of the degree to which racial or ethnic populations within smaller geographical units are located near the center of a larger geographical unit. *ACE* is a measure of concentration of racial or ethnic populations within smaller geographical units that are located within larger geographical units. *ACE* can range from 0 to 1 and represents the relative amount of physical space occupied by a racial or ethnic subgroup in a larger geographical unit. A value of 1 indicates that a racial or ethnic subgroup has achieved the maximum spatial concentration possible (all racial or ethnic subgroup members live in the smallest of the smaller geographical units). A value of 0 indicates the maximum deconcentration possible (all racial or ethnic subgroup members live in the largest of the smaller geographical units).
-Note: The original metric used the location of the central business district (CBD) to compute the metric, but the U.S. Census Bureau has not defined CBDs for U.S. cities since the [1982 Census of Retail Trade](http://www.census.gov/geo/www/cbd.html). Therefore, this function uses the the centroids of each larger geographical unit as the 'centre', but may not represent the current CBD.
+Note: The original metric used the location of the central business district (CBD) to compute the metric, but the U.S. Census Bureau has not defined CBDs for U.S. cities since the [1982 Census of Retail Trade](https://www.census.gov/data/tables/1982/econ/arts/annual-report.html). Therefore, this function uses the the centroids of each larger geographical unit as the 'centre', but may not represent the current CBD.
```{r duncan_cuzzort_prep, results = 'hide'}
duncan_cuzzort2017CT <- duncan_cuzzort(
@@ -905,7 +905,7 @@ ggplot() +
Compute the racial or ethnic *RCE* values (2013-2017 5-year ACS) for census block groups within census-designated places of Connecticut. This metric is based on [Duncan & Duncan (1955b)](https://doi.org/10.1086/221609) and [Massey & Denton (1988)](https://doi.org/10.1093/sf/67.2.281). *RCE* is a measure of the degree to which racial or ethnic populations within smaller geographical units are located near the center of a larger geographical unit. *RCE* can range in value from -1 to 1 and represents the spatial distribution of racial or ethnic populations within smaller geographical units relative to the compared to the distribution of the referent racial or ethnic population around the center of a larger geographical unit. Positive values indicate a tendency for racial or ethnic populations to reside closer to the center of a larger geographical unit than the referent racial or ethnic population, while negative values indicate the racial or ethnic population is distributed farther from the center of a larger geographical unit than the referent racial or ethnic population. A score of 0 means that racial or ethnic populations have a uniform distribution throughout a larger geographical unit. *RCE* gives the proportion of racial or ethnic populations required to change residence to match the degree of centralization of the referent racial or ethnic population.
-Note: The original metric used the location of the central business district (CBD) to compute the metric, but the U.S. Census Bureau has not defined CBDs for U.S. cities since the [1982 Census of Retail Trade](http://www.census.gov/geo/www/cbd.html). Therefore, this function uses the the centroids of each larger geographical unit as the 'centre', but may not represent the current CBD.
+Note: The original metric used the location of the central business district (CBD) to compute the metric, but the U.S. Census Bureau has not defined CBDs for U.S. cities since the [1982 Census of Retail Trade](https://www.census.gov/data/tables/1982/econ/arts/annual-report.html). Therefore, this function uses the the centroids of each larger geographical unit as the 'centre', but may not represent the current CBD.
```{r duncan_duncan_prep, results = 'hide'}
duncan_duncan2017CT <- duncan_duncan(
diff --git a/vignettes/ndi2.html b/vignettes/ndi2.html
index 6c7905f..887bad0 100644
--- a/vignettes/ndi2.html
+++ b/vignettes/ndi2.html
@@ -12,7 +12,7 @@
-
+
2. Racial or Ethnic Residential Segregation Indices
@@ -341,7 +341,7 @@
2. Racial or Ethnic Residential Segregation
Indices
Ian D. Buller (GitHub: @idblr)
-2025-08-29
+2025-09-04
@@ -372,8 +372,8 @@ Racial or Ethnic Residential Segregation Indices
(G) based on Gini
(1921)
theil() function that computes Entropy (H)
-based on Theil (1972; ISBN:978-0-444-10378-9) and Theil &
-Finizza (1971)
+based on Theil (1972; ISBN:978-0-444-10378-9) and Theil & Finizza
+(1971)
atkinson() function that computes the Atkinson Index
(A) based on Atkinson
(1970)
@@ -679,10 +679,10 @@ The racial or ethnic Gini Index (G)
Compute Entropy (H)
Compute racial or ethnic H (2010-2014 5-year ACS) for census
tracts within metropolitan divisions of Pennsylvania. This metric is
-based on Theil (1972; ISBN:978-0-444-10378-9) and Theil &
-Finizza (1971). H is a measure of the evenness of racial or
-ethnic residential segregation when comparing smaller geographical units
-to larger ones within which the smaller geographical units are located.
+based on Theil (1972; ISBN:978-0-444-10378-9) and Theil & Finizza
+(1971). H is a measure of the evenness of racial or ethnic
+residential segregation when comparing smaller geographical units to
+larger ones within which the smaller geographical units are located.
H can range in value from 0 to 1 and represents the (weighted)
average deviation of each smaller geographical unit from the larger
geographical unit’s “entropy” or racial and ethnic diversity, which is
@@ -1452,10 +1452,10 @@
Compute Absolute Centralization (ACE)
the smaller geographical units).
Note: The original metric used the location of the central business
district (CBD) to compute the metric, but the U.S. Census Bureau has not
-defined CBDs for U.S. cities since the 1982 Census of Retail
-Trade. Therefore, this function uses the the centroids of each
-larger geographical unit as the ‘centre’, but may not represent the
-current CBD.
+defined CBDs for U.S. cities since the 1982
+Census of Retail Trade. Therefore, this function uses the the
+centroids of each larger geographical unit as the ‘centre’, but may not
+represent the current CBD.
duncan_cuzzort2017CT <- duncan_cuzzort(
geo_large = 'place',
geo_small = 'cbg',
@@ -1528,10 +1528,10 @@ Compute Relative Centralization (RCE)
population.
Note: The original metric used the location of the central business
district (CBD) to compute the metric, but the U.S. Census Bureau has not
-defined CBDs for U.S. cities since the 1982 Census of Retail
-Trade. Therefore, this function uses the the centroids of each
-larger geographical unit as the ‘centre’, but may not represent the
-current CBD.
+defined CBDs for U.S. cities since the 1982
+Census of Retail Trade. Therefore, this function uses the the
+centroids of each larger geographical unit as the ‘centre’, but may not
+represent the current CBD.
duncan_duncan2017CT <- duncan_duncan(
geo_large = 'place',
geo_small = 'cbg',