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spData  

Datasets for Spatial Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spData", "2.3.3")



Attach the package and use:
library("spData")
Maintained by
Jakub Nowosad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-23
Latest Update: 2023-07-06
Description:
Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
How to cite:
Jakub Nowosad (2017). spData: Datasets for Spatial Analysis. R package version 2.3.3, https://cran.r-project.org/web/packages/spData. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.2.2 (2017-07-23 19:37), 0.2.5.0 (2017-08-27 18:21), 0.2.6.0 (2017-10-07 18:17), 0.2.6.2 (2017-10-28 15:56), 0.2.6.4 (2017-11-12 16:17), 0.2.6.7 (2017-11-28 15:09), 0.2.6.8 (2017-12-17 23:55), 0.2.6.9 (2018-01-03 14:28), 0.2.7.0 (2018-01-29 20:19), 0.2.7.4 (2018-02-11 16:21), 0.2.8.1 (2018-03-10 17:13), 0.2.8.3 (2018-03-25 17:11), 0.2.9.0 (2018-06-17 19:02), 0.2.9.3 (2018-08-01 18:20), 0.2.9.4 (2018-09-16 00:40), 0.2.9.6 (2018-12-03 20:40), 0.3.0 (2019-01-07 18:00), 0.3.2 (2019-09-19 14:10), 0.3.3 (2020-02-11 14:00), 0.3.5 (2020-04-06 12:50), 0.3.8 (2020-07-03 19:00), 0.3.10 (2021-06-18 11:40), 2.0.1 (2021-10-14 17:40), 2.2.0 (2022-08-31 10:50), 2.2.1 (2022-11-15 20:30), 2.2.2 (2023-03-01 10:10), 2.3.0 (2023-07-06 02:10), 2.3.1 (2024-05-31 17:10)
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