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output: github_document
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```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# brclimr

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R package to fetch zonal weather indicators for Brazilian municipalities.

This package fetches zonal statistics from weather indicators created for each Brazilian municipality with data from the BR-DWGD and TerraClimate projects. For each municipality and weather indicator, zonal statistics were calculated considering the data cells that intersects the municipality, like mean, max, min, sd and sum. 

Details about the used methodology to calculate the zonal statistics are available at *Articles > Methodology*.

## Installation

``` r
remotes::install_github(repo = "rfsaldanha/brclimr")
```

## Example

For the BR-DWGD project, the following indicators and zonal statistics can be retrieved.

```{r}
library(brclimr)

product_info(product = "brdwgd")
```

To fetch data for a specific product, indicator and statistic, use the fetch_data function. For example, lets consider the Rio de Janeiro, RJ municipality (IBGE code number 3304557), data product "brdwgd", average relative humidity, from 2010-10-15 to 2010-10-20.

```{r}
fetch_data(
    code_muni = 3304557,
    product = "brdwgd",
    indicator = "rh",
    statistics = "mean",
    date_start = as.Date("2010-10-15"),
    date_end = as.Date("2010-10-20")
  )
```

If you need to query several municipalities, indicators and zonal statistics, we recommend to download and locally query the parquet files using the `arrow` package. A list of URLs of the parquet files created for this project is available at *Articles > Parquet files*.

## Another example

```{r}
tmax <- fetch_data(
  code_muni = 3303401,
  product = "brdwgd",
  indicator = "tmax",
  statistics = "mean",
  date_start = as.Date("2010-01-01"),
  date_end = as.Date("2012-01-01")
)

tmin <- fetch_data(
  code_muni = 3303401,
  product = "brdwgd",
  indicator = "tmin",
  statistics = "mean",
  date_start = as.Date("2010-01-01"),
  date_end = as.Date("2012-01-01")
)

pr <- fetch_data(
  code_muni = 3303401,
  product = "brdwgd",
  indicator = "pr",
  statistics = "sum",
  date_start = as.Date("2010-01-01"),
  date_end = as.Date("2012-01-01")
)

tmax$name <- "Tmax_avg"
tmin$name <- "Tmin_avg"
```

```{r}
library(ggplot2)

ggplot(data = rbind(tmax, tmin), aes(x = date, y = value, color = name)) +
  geom_line() +
  scale_x_date(date_breaks = "2 months", date_labels =  "%m/%y") +
  ylim(0, NA) +
  labs(
    title = "Nova Friburgo, RJ",
    x = "Date", 
    y = "Temperature (average)",
    color = ""
  ) +
  theme_bw() +
  theme(legend.position = "bottom", legend.direction = "horizontal")
```

```{r}
ggplot(data = pr, aes(x = date, y = value)) +
  geom_line(color = "blue") +
  scale_x_date(date_breaks = "2 months", date_labels =  "%m/%y") +
  ylim(0, NA) +
  labs(
    title = "Nova Friburgo, RJ",
    x = "Date", 
    y = "Precipitation (sum)",
    color = ""
  ) +
  theme_bw() +
  theme(legend.position = "bottom", legend.direction = "horizontal")
```