memphis_population

A dataset containing records of populations associated with the centroids of
census blocks in Memphis, Tennessee, in 2020.

datasets

Identify and understand clusters of points (typically representing
the locations of places or events) stored in simple-features (SF) objects.
This is useful for analysing, for example, hot-spots of crime events. The
package emphasises producing results from point SF data in a single step
using reasonable default values for all other arguments, to aid rapid data
analysis by users who are starting out. Functions available include kernel
density estimation (for details, see Yip (2020)
<doi:10.22224/gistbok/2020.1.12>), analysis of spatial association (Getis
and Ord (1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>) and hot-spot
classification (Chainey (2020) ISBN:158948584X).

Matt Ashby

sfhotspot

Hot-Spot Analysis with Simple Features

memphis_population function

A simple-features tibble with 10,393 rows and three variables:<dl>
<dt>geoid</dt>
<dd>the census GEOID for each block</dd><dt>population</dt>
<dd>the number of people residing in each block</dd><dt>geometry</dt>
<dd>the co-ordinates of the centroid of each block, stored in
simple-features point format</dd>
</dl>

Format

Populations of census blocks in Memphis in 2020 — memphis_population

A simple-features tibble with 10,393 rows and three variables:<dl>
<dt>geoid</dt>
<dd>the census GEOID for each block</dd>

<dt>population</dt>
<dd>the number of people residing in each block</dd>

<dt>geometry</dt>
<dd>the co-ordinates of the centroid of each block, stored in
simple-features point format</dd>


</dl>

memphis_population: Populations of census blocks in Memphis in 2020

Description

Usage

Arguments

Format