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https://github.com/nowosad/spdata

Datasets for spatial analysis
https://github.com/nowosad/spdata

datasets r raster sf sp spatial spdep

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Datasets for spatial analysis

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README

        

---
output:
github_document
---

```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "figure/",
fig.height = 1
)
```

# spData

[![GitHub action build status](https://github.com/Nowosad/spData/workflows/pkgdown/badge.svg)](https://github.com/Nowosad/spData/actions)
[![CRAN version](https://www.r-pkg.org/badges/version/spData)](https://cran.r-project.org/package=spData)
[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/spData)](https://cran.r-project.org/package=spData)
[![CRAN RStudio total mirror downloads](https://cranlogs.r-pkg.org/badges/grand-total/spData)](https://cran.r-project.org/package=spData)

Datasets for spatial analysis (from version 2.3.4, ESRI Shapefile datasets have been dropped, use the provided GeoPackage files instead)

### **sf**

- `alaska` - Alaska multipolygon
- `aggregating_zones` - See `congruent`
- `congruent` - Sample of UK administrative zones that have shared borders with `aggregating_zones` (`incongruent` does not have shared borders) for teaching the concept of spatial congruence
- `cycle_hire` - Cycle hire points in London
- `cycle_hire_osm` - Cycle hire points in London from OSM
- `hawaii` - Hawaii multipolygon
- `incongruent` - See `congruent`
- `lnd` - The boroughs of London
- `nz` - The regions of New Zealand
- `nz_height` - High points in New Zealand
- `seine` - Small river network in France
- `urban_agglomerations` - Major urban areas worldwide
- `us_states` - US states polygons
- `world` - World country polygons

### **sp**

- `auckland` - Marshall's infant mortality in Auckland dataset
- `elect80` - 1980 Presidential election results
- `house` - Lucas county OH housing
- `SplashDams` - Data for Splash Dams in western Oregon
- `state.vbm` - US State Visibility Based Map

### **spdep**

- `afcon` - Spatial patterns of conflict in Africa 1966-78
- `boston` - Boston Housing Data
- `columbus` - Columbus OH spatial analysis data set
- `eire` - Eire data sets
- `nc.sids` - North Carolina SIDS data
- `NY_data` - New York leukemia data
- `used.cars` - US 1960 used car prices

### **raster**

- `elev.tif` - Small raster dataset representing elevation values
- `grain.tif` - Small raster dataset representing grain size classes

### misc

- `baltimore` - House sales prices, Baltimore, MD 1978
- `coffee_data` - World coffee production statistics by country, 2016 and 2017
- `getisord` - Getis-Ord remote sensing example data
- `hopkins` - Hopkins burnt savanna herb remains
- `huddersfield` - Prevalence of respiratory symptoms
- `jenks71` - Illinois 1959 county gross farm product value per acre
- `us_states_df` - Selected American Community Survey (ACS) data
- `wheat` - Mercer and Hall wheat yield data
- `worldbank_df` - Selected World Bank data
- `depmunic` and `properties` - Athens properties data set from **HSAR**

## Installation

Get the released version from CRAN:

```R
install.packages("spData")
```

Get the development version from github:

```R
devtools::install_github("nowosad/spData")
```

## spDataLarge

This package interacts with data available through the **spDataLarge** package, which is available in a 'drat' repository.
To access this data package, run:

```R
install.packages("spDataLarge", repos = "https://nowosad.github.io/drat/", type = "source")
```

The size of the **spDataLarge** package is approximately 20 MB.
Learn more about the **spDataLarge** package at https://github.com/Nowosad/spDataLarge.

## Contributions

[Feel free to submit issues and enhancement requests.](https://github.com/Nowosad/spData/issues)