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https://github.com/rmendels/rerddapXtracto
xtractomactic using rerddap
https://github.com/rmendels/rerddapXtracto
Last synced: 3 months ago
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xtractomactic using rerddap
- Host: GitHub
- URL: https://github.com/rmendels/rerddapXtracto
- Owner: rmendels
- License: other
- Created: 2016-09-24T20:59:42.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2024-01-12T19:34:17.000Z (10 months ago)
- Last Synced: 2024-06-11T17:27:31.454Z (5 months ago)
- Language: R
- Size: 6.7 MB
- Stars: 14
- Watchers: 2
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.note
Awesome Lists containing this project
- awesome-erddap - rerddapXtracto - R language package that uses rerdddap to extract data from ERDDAP servers along a trajectory or inside a polygon. (ERDDAP Clients)
README
# rerddapXtracto (Version 1.2.1)
rerddapXtracto - R package for accessing environmental data using 'rerddap'
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`rxtracto()`now works in coordinate space for projected data
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`tidy_grid()`function to convert result of 'rxtracto_3D()' or 'rxtractogon()' to "tidy"" long-format
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`rxtracto()`option to use the ERDDAP "Interpolate service", which can greatly
speed up extracts for large tracks.
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`rxtracto()` major rewrite of this function to reduce the number of requests made to the ERDDAP server, and to improve overall speed.
******
`rerddapXtracto` is an R package developed to subset and extract satellite and other oceanographic related data from a remote ERDDAP server. The program can extract data for a moving point in time along a user-supplied set of longitude, latitude, time and depth points; in a 3D bounding box; or within a polygon (through time).
There are also two plotting functions, `plotTrack()` and `plotBox()` that make use of the `plotdap` package. See the new [rerdapXtracto vignette](https://rmendels.github.io/UsingrerddapXtracto.html).
There are three main data extraction functions in the `rerddapXtracto` package:
- `rxtracto <- function(dataInfo, parameter = NULL, xcoord = NULL, ycoord = NULL, zcoord = NULL, tcoord = NULL, xlen = 0., ylen = 0., zlen = 0., xName = 'longitude', yName = 'latitude', zName = 'altitude', tName = 'time', interp = NULL, verbose = FALSE, progress_bar = FALSE)`
- `rxtracto_3D <- function(dataInfo, parameter = NULL, xcoord = NULL, ycoord = NULL, zcoord = NULL, tcoord = NULL, xName = 'longitude', yName = 'latitude', zName = 'altitude', tName = 'time', verbose = FALSE)`
- `rxtractogon <- function(dataInfo, parameter, xcoord = NULL, ycoord = NULL, zcoord = NULL, tcoord = NULL, xName = 'longitude', yName = 'latitude', zName = 'altitude', tName = 'time', verbose = FALSE)`
and two functions for producing maps:
- `plotTrack <- function(resp, xcoord, ycoord, tcoord, plotColor = 'viridis', myFunc = NA,
mapData = NULL, crs = NULL,
animate = FALSE, cumulative = FALSE,
name = NA, shape = 20, size = .5)`
- `plotBBox <- function(resp, plotColor = 'viridis', time = NA, myFunc = NA,
mapData = NULL, crs = NULL,
animate = FALSE, cumulative = FALSE, name = NA,
maxpixels = 10000)`
and function to convert result of 'rxtracto_3D()' or 'rxtractogon()' to "tidy"" long-format:
- 'tidy_grid(response)`
For data requests that cross the dateline for datasets that are
on a (-180, 180) longitude grid, there are some important caveats:
- Request must be on a (0, 360) longitude grid
- Several of the checks that the request makes sense are disabled if the request
cross the dateline and the dataset is on a (-180, 180) longitude grid.
- User therefore has more responsibility to check that the request makes sense
for the dataset being accessed.
`rerddapXtracto` uses the `rerddap`, `ncdf4` , `parsedate`, `plotdap` and `sp` packages , and these packages (and the packages imported by these packages) must be installed first or `rerddapXtracto` will fail to install.
```{r install,eval=FALSE}
install.packages("ncdf4")
install.packages("parsedate")
install.packages("plotdap")
install.packages("rerddap")
install.packages("sp")
```
```
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