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sfhotspot  

Hot-Spot Analysis with Simple Features
View on CRAN: Click here


Download and install sfhotspot package within the R console
Install from CRAN:
install.packages("sfhotspot")

Install from Github:
library("remotes")
install_github("cran/sfhotspot")

Install by package version:
library("remotes")
install_version("sfhotspot", "0.8.0")



Attach the package and use:
library("sfhotspot")
Maintained by
Matt Ashby
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-14
Latest Update: 2023-09-19
Description:
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) ), analysis of spatial association (Getis and Ord (1992) ) and hot-spot classification (Chainey (2020) ISBN:158948584X).
How to cite:
Matt Ashby (2022). sfhotspot: Hot-Spot Analysis with Simple Features. R package version 0.8.0, https://cran.r-project.org/web/packages/sfhotspot. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.2.0 (2022-02-14 11:10), 0.7.0 (2022-09-12 00:00), 0.7.1 (2023-02-10 21:40)
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