location string has changed from (lat, lon, lat, lon) to (lon, lat, lon, lat)!

To install the development releases of the package run the following

commands:

Get world soil values for a single site using the following format, specifying coordinates as a pair of latitude, longitude coordinates. Here all available soil layers are queried.

all<- ws_subset(

all<- ws_subset(

site="HWSD",

location= c(34,-81),

)

You can download gridded data by specifying a bounding box c(lat, lon, lat, lon) defined by a bottom left and top right coordinates. Here the call only extracts the top soil fraction of sand (% weight).

t_sand<- ws_subset(

t_sand<- ws_subset(

site="HWSD",

location= c(32,-81,34,-80),

param="T_SAND",

path= tempdir(),

)

By default all parameters are downloaded, a complete list of the individual parameters is provided on the ORNL webpage (<https://daac.ornl.gov/SOILS/guides/HWSD.html>). Alternatively you may find a similar list of data in the`hwsd_meta_data` dataset as provided by the package.

This is an experimental feature, awaiting an update of the ORNL DAAC API to version 2.0 of the HWSD database. Although functionally complete the procedure is more complex as it includes a bulk download of a base map.

The HWSD v2.0 data is distributed as a gridded spatial map where homogeneous regions are indicated with indices (integers). Although the underlying database is included in the package and can be accessed using`hwsdr::hwsd2`, the spatial data accompanying the database is too large for inclusion in the package. This spatial data needs to be downloaded explicitly to a desired path before any other functions will work.

```{r eval = FALSE}

Get world soil values for a single site using the following format, specifying coordinates as a pair of longitude, latitude coordinates (longitude, latitude). Here the call only extracts the top soil (layer = "D1") fraction of sand and silt (% weight) for one specific location. Note that you will need to specify the correct version to be used in processing.

```{r eval = FALSE}

You can grab gridded data by specifying a bounding box c(lon, lat, lon, lat) defined by a bottom left and top right coordinates. Here the call only extracts the top soil (D1 layer) fraction of sand (%).

```{r eval = FALSE}

Wieder, W.R., J. Boehnert, G.B. Bonan, and M. Langseth. 2014. Regridded Harmonized World Soil Database v1.2. Data set. Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA. (<https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1247>).

The HWSD v2.0 data is distributed as a spatial map wherehomogenous regions are indicated with indices (integers). Although the underlying database is included in the package and can be accessed using`hwsdr::hwsd2`, the spatial data accompanying the database is too large for inclusion in the package. This spatial data needs to be downloaded explicitly.

The HWSD v2.0 data is distributed as a spatial map wherehomogeneous regions are indicated with indices (integers). Although the underlying database is included in the package and can be accessed using`hwsdr::hwsd2`, the spatial data accompanying the database is too large for inclusion in the package. This spatial data needs to be downloaded explicitly.

Ideally, to speed up processing between sessions you download the data to a fixed location (directory) on your computer. The function`ws_download()` will download the data there. If successful the function will return the path where the data is located.

```{r eval = FALSE}

At this location we have a top soil fraction of sand of 78% weight and a silt fraction of 12 % weight! Data are returned as tidy data frames including basic meta-data of the query for later subsetting.

You can grab gridded data by specifying a bounding box c(lon, lat, lon, lat) defined by a bottom left and top right coordinates. Here the call only extracts the top soil (D1 layer) fraction of sand (%).

```{r eval = FALSE}