diff --git a/README.Rmd b/README.Rmd index 22a2658..15020f7 100644 --- a/README.Rmd +++ b/README.Rmd @@ -174,36 +174,44 @@ If you get an unexpected error, - Look up the [EMODnet monitor](https://monitor.emodnet.eu/resources?lang=en&resource_type=OGC:WFS); - Open an issue in this [repository](https://github.com/EMODnet/emodnet.wfs/issues). -## Other web services +## Unlock the Full Potential of the EMODnet Web Services: Access Raster and Gridded datasets. -There are three ways to access EMODnet data at the moment, that complement each other. +EMODnet hosts a wealth of marine and maritime data distributed through three complementary web services: WFS, WCS, and ERDDAP. Web services allow users to retrieve data programmatically from remote servers, eliminating the need for manual downloads. This is particularly useful for handling large datasets or conducting dynamic analyses. These services are tailored to different data types and research needs, but together, they ensure seamless access to all EMODnet vector, raster, and gridded datasets. Vector data, such as shipwrecks or boundaries, are accessible through `emodnet.wfs` via Web Feature Services (WFS). Complementary, raster and gridded datasets are available through Web Coverage Services (WCS) and ERDDAP respectively. -### EMODnet ERDDAP server +### Access EMODnet raster data through Web Coverage Services with `EMODnetWCS` in R -Some EMODnet data are also published in an [ERDDAP server](https://erddap.emodnet.eu). You can access these data in R using the [rerddap R package](https://docs.ropensci.org/rerddap/): +EMODnet raster datasets, such as habitat maps or bathymetry, are available through [Web Coverage Services (WCS)](https://wikipedia.org/wiki/Web_Coverage_Service). These data are continuous, gridded, and often used for spatial visualization or environmental modeling. The EMODnetWCS R package provides tools to retrieve and process these raser datasets, in a similar fashion as `emodnet.wfs`. Extensive documentation is available at the [EMODnetWCS website](https://emodnet.github.io/EMODnetWCS/). +### Access EMODnet gridded and tabular datasets through the ERDDAP Server and `rerddap` in R + +Both WFS and WCS EMODnet services are based on a federated system: each EMODnet thematic lot manages their servers and data, ensuring that their data are exposed both via WFS and WCS. The twin R packages `emodnet.wfs` and `EMODnetWCS` simplify the access to all the entry points by collecting them in single places, which are the packages themselves. + +In contrast, the [EMODnet ERDDAP Server](https://erddap.emodnet.eu) is centrally managed by the EMODnet Central Portal, offering a single access point to all gridded and tabular datasets. ERDDAP simplifies access to datasets such as digital terrain models, vessel density or environmental data. It is particularly suited for large-scale, multidimensional data analysis. In R, the `rerddap` package allows users to query and subset ERDDAP data programmatically, enabling efficient analysis and integration into workflows. For example, researchers can retrieve datasets on vessel density. + ```{r rerddap} # install.packages("rerrdap") library(rerddap) +# This is the url where the EMODnet ERDDAP server is located erddap_url <- "https://erddap.emodnet.eu/erddap/" -rerddap::ed_datasets(url = erddap_url) +# Inspect all available datasets +ed_datasets(url = erddap_url) -rerddap::ed_search(query = "vessel density", url = erddap_url) +# Find datasets with the key words "vessel density" +ed_search(query = "vessel density", url = erddap_url) -human_activities_data_info <- rerddap::info(datasetid = "humanactivities_9f8a_3389_f08a", url = erddap_url) +# Inspect more info about the vessel density dataset, using its identifier +human_activities_data_info <- info(datasetid = "humanactivities_9f8a_3389_f08a", url = erddap_url) human_activities_data_info +# Retrieve the vessel density at a particular time period year_2020_gridded_data <- griddap(datasetx = human_activities_data_info, time = c("2020-03-18", "2020-03-19")) head(year_2020_gridded_data$data) ``` - -### EMODnetWCS: Access EMODnet Web Coverage Service data - -This package emodnet.wfs uses [Web Feature Services](https://www.ogc.org/publications/standard/wfs/), hence it is limited to getting vector data. EMODnet also hosts raster data that can be accessed via [Web Coverage Services (WCS)](https://www.ogc.org/publications/standard/wcs/). The R package [EMODnetWCS](https://github.com/EMODnet/EMODnetWCS) makes these data available in R. +More functionalities are available through `rerddap`. Feel free to explore the [rerddap website](https://docs.ropensci.org/rerddap/) to find out what else can you do with the EMODnet datasets in ERDDAP. ## Citation @@ -216,3 +224,4 @@ citation(package = "emodnet.wfs") ## Acknowledgements This package was started by the Sheffield University during the EMODnet Biology WP4 data products workshop in June 2020. + diff --git a/README.md b/README.md index 5e714ab..b338a5e 100644 --- a/README.md +++ b/README.md @@ -26,9 +26,11 @@ Services](https://emodnet.ec.europa.eu/en/data-0). [Web Feature services change in the way geographic information is created, modified and exchanged on the Internet and offer direct fine-grained access to geographic information at the feature and feature property level. -Features are *observations* and feature properties are *variables*. -emodnet.wfs aims at offering an user-friendly interface to this rich -data. +Features are representation of geographic entities, such as a +coastlines, marine protected areas, offshore platforms, or fishing +areas. In WFS, features have geometry (spatial information) and +attributes (descriptive data). emodnet.wfs aims at offering an +user-friendly interface to this rich data. ## Installation and setup @@ -76,7 +78,7 @@ All available data sources, called services, are contained in the library(emodnet.wfs) services <- emodnet_wfs() class(services) -#> [1] "tbl_df" "tbl" "data.frame" +#> [1] "data.frame" names(services) #> [1] "service_name" "service_url" services$service_name @@ -102,7 +104,12 @@ services$service_name To explore available services you can use `View()` or your usual way to explore `data.frames`. -## Connect to a data source: Create a service client +## Initialise a WFS Service Client + +A WFS service client is responsible for sending requests to a WFS server +and processing the responses to retrieve, display, or analyze geospatial +features. As such, initialising a client is the first step to +interacting with an EMODnet Web Feature Services. Specify the service using the `service` argument. @@ -121,10 +128,16 @@ wfs_bio #> ....|-- capabilities ``` -## List contents of a data source: Get layer information from a service client +## List contents of a WFS: Get layer information from a service client + +In the context of a Web Feature Service (WFS), a layer refers to a +logical grouping of geographic features that share the same schema +(i.e., the same feature type, geometry, and attributes). Layers are the +units of data that clients can query, retrieve, and manipulate through a +WFS. -You can get metadata about the datasets, called layers, available from a -service. +You can access information (metadata) about each layer available from an +EMODnet WFS with `emodnet_get_wfs_info()` ``` r emodnet_get_wfs_info(service = "biology") @@ -246,8 +259,9 @@ emodnet_get_layers(wfs = wfs_bio, layers = layers) #> 10 mediseh_posidonia_nodata.84 0 2.817453 MULTICURVE (LINESTRING (15.... ``` -You can change the output `crs` (“projection”) through the argument -`crs`. +You can change the output Coordinate Reference System (CRS), which +defines how geographic data is mapped to the Earth’s surface, through +the argument `crs`. ``` r emodnet_get_layers(wfs = wfs_bio, layers = layers, crs = 3857) @@ -398,16 +412,48 @@ If you get an unexpected error, - Open an issue in this [repository](https://github.com/EMODnet/emodnet.wfs/issues). -## Other web services - -There are three ways to access EMODnet data at the moment, that -complement each other. - -### EMODnet ERDDAP server - -Some EMODnet data are also published in an [ERDDAP -server](https://erddap.emodnet.eu). You can access these data in R using -the [rerddap R package](https://docs.ropensci.org/rerddap/): +## Unlock the Full Potential of the EMODnet Web Services: Access Raster and Gridded datasets. + +EMODnet hosts a wealth of marine and maritime data distributed through +three complementary web services: WFS, WCS, and ERDDAP. Web services +allow users to retrieve data programmatically from remote servers, +eliminating the need for manual downloads. This is particularly useful +for handling large datasets or conducting dynamic analyses. These +services are tailored to different data types and research needs, but +together, they ensure seamless access to all EMODnet vector, raster, and +gridded datasets. Vector data, such as shipwrecks or boundaries, are +accessible through `emodnet.wfs` via Web Feature Services (WFS). +Complementary, raster and gridded datasets are available through Web +Coverage Services (WCS) and ERDDAP respectively. + +### Access EMODnet raster data through Web Coverage Services with `EMODnetWCS` in R + +EMODnet raster datasets, such as habitat maps or bathymetry, are +available through [Web Coverage Services +(WCS)](https://wikipedia.org/wiki/Web_Coverage_Service). These data are +continuous, gridded, and often used for spatial visualization or +environmental modeling. The EMODnetWCS R package provides tools to +retrieve and process these raser datasets, in a similar fashion as +`emodnet.wfs`. Extensive documentation is available at the [EMODnetWCS +website](https://emodnet.github.io/EMODnetWCS/). + +### Access EMODnet gridded and tabular datasets through the ERDDAP Server and `rerddap` in R + +Both WFS and WCS EMODnet services are based on a federated system: each +EMODnet thematic lot manages their servers and data, ensuring that their +data are exposed both via WFS and WCS. The twin R packages `emodnet.wfs` +and `EMODnetWCS` simplify the access to all the entry points by +collecting them in single places, which are the packages themselves. + +In contrast, the [EMODnet ERDDAP Server](https://erddap.emodnet.eu) is +centrally managed by the EMODnet Central Portal, offering a single +access point to all gridded and tabular datasets. ERDDAP simplifies +access to datasets such as digital terrain models, vessel density or +environmental data. It is particularly suited for large-scale, +multidimensional data analysis. In R, the `rerddap` package allows users +to query and subset ERDDAP data programmatically, enabling efficient +analysis and integration into workflows. For example, researchers can +retrieve datasets on vessel density. ``` r # install.packages("rerrdap") @@ -416,9 +462,11 @@ library(rerddap) #> method from #> print.cache_info httr +# This is the url where the EMODnet ERDDAP server is located erddap_url <- "https://erddap.emodnet.eu/erddap/" -rerddap::ed_datasets(url = erddap_url) +# Inspect all available datasets +ed_datasets(url = erddap_url) #> # A tibble: 8 × 16 #> griddap Subset tabledap Make.A.Graph wms files Title Summary FGDC ISO.19115 #> @@ -433,7 +481,8 @@ rerddap::ed_datasets(url = erddap_url) #> # ℹ 6 more variables: Info , Background.Info , RSS , #> # Email , Institution , Dataset.ID -rerddap::ed_search(query = "vessel density", url = erddap_url) +# Find datasets with the key words "vessel density" +ed_search(query = "vessel density", url = erddap_url) #> # A tibble: 16 × 2 #> title dataset_id #> @@ -454,7 +503,8 @@ rerddap::ed_search(query = "vessel density", url = erddap_url) #> 15 Vessel traffic density, 2019, Tug and Towing EMODPACE_VD_07_Tug #> 16 Vessel traffic density, 2019, Unknown EMODPACE_VD_12_Unk… -human_activities_data_info <- rerddap::info(datasetid = "humanactivities_9f8a_3389_f08a", url = erddap_url) +# Inspect more info about the vessel density dataset, using its identifier +human_activities_data_info <- info(datasetid = "humanactivities_9f8a_3389_f08a", url = erddap_url) human_activities_data_info #> humanactivities_9f8a_3389_f08a #> Base URL: https://erddap.emodnet.eu/erddap @@ -467,6 +517,7 @@ human_activities_data_info #> vd: #> Units: seconds +# Retrieve the vessel density at a particular time period year_2020_gridded_data <- griddap(datasetx = human_activities_data_info, time = c("2020-03-18", "2020-03-19")) #> info() output passed to x; setting base url to: https://erddap.emodnet.eu/erddap head(year_2020_gridded_data$data) @@ -479,15 +530,9 @@ head(year_2020_gridded_data$data) #> 6 -617500 7034500 2020-04-01T00:00:00Z NA ``` -### EMODnetWCS: Access EMODnet Web Coverage Service data - -This package emodnet.wfs uses [Web Feature -Services](https://www.ogc.org/publications/standard/wfs/), hence it is -limited to getting vector data. EMODnet also hosts raster data that can -be accessed via [Web Coverage Services -(WCS)](https://www.ogc.org/publications/standard/wcs/). The R package -[EMODnetWCS](https://github.com/EMODnet/EMODnetWCS) makes these data -available in R. +More functionalities are available through `rerddap`. Feel free to +explore the [rerddap website](https://docs.ropensci.org/rerddap/) to +find out what else can you do with the EMODnet datasets in ERDDAP. ## Citation