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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# plotdap
The `plotdap` package makes it easy to map data acquired via the `rerddap` functions `tabledap()` or `griddap()`.
## Installation
You can install the released version of plotdap from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("plotdap")
```
The development version is available from Github and can be installed with:
```r
devtools::install_github('ropensci/plotdap')
```
## Functions
**plotdap** has four main functions and can produce plots in both base graphics
and `ggplot2` graphics, though certain features ony work wih `ggplot2`:
- `plotdap()` which sets up the base map:
+ `plotdap(method = c("ggplot2", "base"), mapData = maps::map("world",
plot = FALSE, fill = TRUE), crs = NULL, datum = sf::st_crs(4326),
mapTitle = NULL, mapFill = "gray80", mapColor = "gray90", ...)`
- `add_tabledap()` which adds the results from a `rerddap::tabledap()` call:
+ `add_tabledap(plot, table, var, color = c("#132B43", "#56B1F7"),
size = 1.5, shape = 19, animate = FALSE,
cumulative = FALSE, ...)`
- `add_griddap()` which adds the results from a `rerddap::griddap()` call:
+ `add_griddap(plot, grid, var, fill = "viridis", maxpixels = 10000,
time = mean, animate = FALSE, cumulative = FALSE, ...)`
- `add_ggplot()` allows customization of the plot when `ggplot2` is used:
+ `add_ggplot(plot, ...)`
## Examples
Extensive examples are gven in the vignette, which can also be viewed at:
https://rmendels.github.io/Using_plotdap.html