docs: fix some links

README.Rmd

@@ -25,7 +25,7 @@ options(timeout = 2000)
 <!-- badges: end -->
 
 The goal of emodnet.wfs is to allow interrogation of and access to [EMODnet's, European Marine Observation and Data Network, geographic vector data](https://emodnet.ec.europa.eu/en/emodnet-web-service-documentation#inline-nav-3) in R though the [EMODnet Web Feature Services](https://emodnet.ec.europa.eu/en/data). 
-[Web Feature services (WFS)](https://www.ogc.org/standard/wfs/) represent a 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. 
+[Web Feature services (WFS)](https://www.ogc.org/publications/standard/wfs/) represent a 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. 
 emodnet.wfs aims at offering an user-friendly interface to this rich data.
 
 ## Installation and setup
@@ -184,7 +184,7 @@ 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/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/standard/wcs/). The R package [EMODnetWCS](https://github.com/EMODnet/EMODnetWCS) makes these data available in R.
+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.
 
 ## Citation
 

README.md

@@ -22,11 +22,12 @@ vector
 data](https://emodnet.ec.europa.eu/en/emodnet-web-service-documentation#inline-nav-3)
 in R though the [EMODnet Web Feature
 Services](https://emodnet.ec.europa.eu/en/data). [Web Feature services
-(WFS)](https://www.ogc.org/standard/wfs/) represent a 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. emodnet.wfs aims at offering
-an user-friendly interface to this rich data.
+(WFS)](https://www.ogc.org/publications/standard/wfs/) represent a
+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.
+emodnet.wfs aims at offering an user-friendly interface to this rich
+data.
 
 ## Installation and setup
 
@@ -448,11 +449,12 @@ 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/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/standard/wcs/).
-The R package [EMODnetWCS](https://github.com/EMODnet/EMODnetWCS) makes
-these data available in R.
+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.
 
 ## Citation
 

vignettes/emodnet.wfs.Rmd

@@ -26,7 +26,7 @@ pak::pak("EMODnet/emodnet.wfs")
 
 ### Explore the EMODnet WFS services with R
 
-For this tutorial we will make use of the `sf`,  `dplyr`  and `mapview` packages. The simple features `sf` package is a well known standard for dealing with geospatial vector data. The package `dplyr` is a strong library for data manipulation. This package also loads `magrittr`'s pipe operator `%>%` (you could also use the [base pipe](https://r4ds.hadley.nz/workflow-pipes.html)), which allows to write pipelines in R. To visualize geometries,  `mapview` will create quick interactive maps.
+For this tutorial we will make use of the `sf`,  `dplyr`  and `mapview` packages. The simple features `sf` package is a well known standard for dealing with geospatial vector data. The package `dplyr` is a strong library for data manipulation. This package also loads `magrittr`'s pipe operator `%>%` (you could also use the [base pipe](https://r4ds.hadley.nz/workflow-style.html#sec-pipes)), which allows to write pipelines in R. To visualize geometries,  `mapview` will create quick interactive maps.
 
 Run this line to install these packages:
 
@@ -37,7 +37,7 @@ install.packages(c("sf", "dplyr", "mapview"))
 
 
 
-With the emodnet.wfs package, we can explore and combine the data served by the [EMODnet lots ](https://www.emodnet.eu/en/portals) through [OGC Web Feature Services](https://en.wikipedia.org/wiki/Web_Feature_Service) or WFS.
+With the emodnet.wfs package, we can explore and combine the data served by the [EMODnet lots ](https://emodnet.ec.europa.eu/en/emodnet-themes) through [OGC Web Feature Services](https://en.wikipedia.org/wiki/Web_Feature_Service) or WFS.
 
 Imagine we are interested in seabed substrates. The first step is to choose what EMODnet lot can provide with these data. For that, we can check the services available with the `emodnet_wfs()` function.
 

vignettes/emodnet.wfs.Rmd.orig

@@ -32,7 +32,7 @@ pak::pak("EMODnet/emodnet.wfs")
 
 ### Explore the EMODnet WFS services with R
 
-For this tutorial we will make use of the `sf`,  `dplyr`  and `mapview` packages. The simple features `sf` package is a well known standard for dealing with geospatial vector data. The package `dplyr` is a strong library for data manipulation. This package also loads `magrittr`'s pipe operator `%>%` (you could also use the [base pipe](https://r4ds.hadley.nz/workflow-pipes.html)), which allows to write pipelines in R. To visualize geometries,  `mapview` will create quick interactive maps.
+For this tutorial we will make use of the `sf`,  `dplyr`  and `mapview` packages. The simple features `sf` package is a well known standard for dealing with geospatial vector data. The package `dplyr` is a strong library for data manipulation. This package also loads `magrittr`'s pipe operator `%>%` (you could also use the [base pipe](https://r4ds.hadley.nz/workflow-style.html#sec-pipes)), which allows to write pipelines in R. To visualize geometries,  `mapview` will create quick interactive maps.
 
 Run this line to install these packages:
 
@@ -42,7 +42,7 @@ install.packages(c("sf", "dplyr", "mapview"))
 
 
 
-With the emodnet.wfs package, we can explore and combine the data served by the [EMODnet lots ](https://www.emodnet.eu/en/portals) through [OGC Web Feature Services](https://en.wikipedia.org/wiki/Web_Feature_Service) or WFS.
+With the emodnet.wfs package, we can explore and combine the data served by the [EMODnet lots ](https://emodnet.ec.europa.eu/en/emodnet-themes) through [OGC Web Feature Services](https://en.wikipedia.org/wiki/Web_Feature_Service) or WFS.
 
 Imagine we are interested in seabed substrates. The first step is to choose what EMODnet lot can provide with these data. For that, we can check the services available with the `emodnet_wfs()` function.