https://github.com/curycu/valuemap

Quick & easy visualization with sf polygons & data.frame with H3 address
https://github.com/curycu/valuemap

geospatial leaflet r sf

Last synced: about 2 months ago
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Quick & easy visualization with sf polygons & data.frame with H3 address

• Host: GitHub
• URL: https://github.com/curycu/valuemap
• Owner: Curycu
• License: gpl-3.0
• Created: 2020-06-27T08:28:50.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-10-07T04:58:57.000Z (about 2 years ago)
• Last Synced: 2024-10-24T09:22:11.917Z (2 months ago)
• Topics: geospatial, leaflet, r, sf
• Language: R
• Homepage:
• Size: 11 MB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# valuemap

[![CRAN](https://www.r-pkg.org/badges/version/valuemap)](https://cran.r-project.org/package=valuemap)

[![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/valuemap)](https://www.r-pkg.org/pkg/valuemap)

The goal of valuemap is to save data analysts' efforts & time with pre-set sf polygon visualization.  

You can also visualize with plain data.frame based on H3 addresses  

## Installation  

To install the stable version from CRAN, simply run the following from an R console:

```{r, eval = FALSE}

install.packages('valuemap')

```

To install the latest development builds directly from GitHub, run this instead:

```{r, eval = FALSE}

if (!require('remotes')) install.packages('remotes')

remotes::install_github('Curycu/valuemap')

```

## How to Use?

**Your data must have two columns named as `name` & `value`**  

  - `name` column is used for mouse over popup information  

  - `value` column is used for mouse over popup information & color polygons & display center number of polygons  

  

```{r}

library(valuemap)

data('seoul')

seoul

```

#### Example 1

##### Quick & easy visualization of sf polygons with value  

```{r, eval = FALSE}

valuemap(seoul)

```

![](example_1.PNG)

#### Example 2

##### Emphasize greater or equal to 20 polygons (>= 20, < 20 : two level only)  

```{r, eval = FALSE}

valuemap(seoul, legend.cut=c(20))

```

![](example_2.PNG)

#### Example 3

##### Visualize without center number on polygons  

```{r, eval = FALSE}

valuemap(seoul, legend.cut=c(15,17,20), show.text=FALSE)

```

![](example_3.PNG)

#### Example 4

##### Change color palette & center number on polygons text color, format & change background map  

```{r, eval = FALSE}

valuemap(

  seoul, map=leaflet::providers$Stamen.Toner, palette='YlOrRd',

  text.color='blue', text.format=function(x) paste(x,'EA')

)

```

![](example_4.PNG)

 

#### Example 5

##### You can visualize based on plain data.frame with h3 address 

```{r}

data('seoul_h3')

seoul_h3

```

```{r, eval = FALSE}

valuemap_h3(seoul_h3, legend.cut=1:6, show.text=FALSE)

```

![](example_5.PNG)