Taking into account the guide on "How to obtain site info?", here is offered two examples on how to aggregate information of many eLTER sites.
Through the 5 functions developed for get network information, access and download of some information of an entire eLTER network can be made.
Knowing the network elTER id (DEIMS ID of the Network, e.g. LTER-Italy https://deims.org/network/7fef6b73-e5cb-4cd2-b438-ed32eb1504b3), the get_network_sites
can download general info, such as name, DEIMS.iD and coordinates of the sites belonging to the network selected. A map of the sites can be returned.
library(dplyr) listItaSites <- ReLTER::get_network_sites( networkDEIMSID = "https://deims.org/network/7fef6b73-e5cb-4cd2-b438-ed32eb1504b3" ) %>% dplyr::filter(!grepl('^IT', title)) knitr::kable( listItaSites[1:10, ], caption = "The list of site for LTER-Italy network" ) listItaSitesMap <- leaflet::leaflet(listItaSites) %>% leaflet::addProviderTiles(provider = "CartoDB.PositronNoLabels", group = "Basemap", layerId = 123) %>% leaflet::addTiles("http://{s}.basemaps.cartocdn.com/light_only_labels/{z}/{x}/{y}.png") %>% leaflet::addCircleMarkers( data = listItaSites, radius = 3, weight = 2, opacity = 0.5, fill = TRUE, fillOpacity = 0.2 ) listItaSitesMap
Another 4 functions are been implemented to obtain network's sites information. Each functions get specific information:
get_network_envcharacts
get_network_observedProperties
get_network_related_resources
The following example perform the request to get all related resources (e.g. activities, datasets, etc.) of the network. The output is a table containing the title, id and time stamp of the last changes of the related resources shared by the network's sites.
listRelatedResources <- ReLTER::get_network_related_resources( networkDEIMSID = "https://deims.org/network/7fef6b73-e5cb-4cd2-b438-ed32eb1504b3" ) # Table of the network's related resources knitr::kable( listRelatedResources, caption = "The list of site for LTER-Italy network" )
Starting by the list of the LTER-Italy network's sites (see first example above), or by using any DEIMS ID list, through the get_site_info
function (already described here).
In the example below is proposed the selection, from the list of LTER-Italy sites, only the lakes environments and the map of these sites is made.
library(dplyr) sites <- as_tibble( listItaSites ) %>% filter(grepl("Lago", title)) %>% filter(!row_number() %in% c(1, 21, 22)) allSiteBound <- lapply( as.list( sites$uri ), ReLTER::get_site_info, category = "Boundaries" ) # Map sites_map <- leaflet::leaflet(allSiteBound) %>% leaflet::addProviderTiles(provider = "CartoDB.PositronNoLabels", group = "Basemap", layerId = 123) %>% leaflet::addTiles("http://{s}.basemaps.cartocdn.com/light_only_labels/{z}/{x}/{y}.png") groups <- length(allSiteBound) for (i in 1:groups) { site_polygon <- allSiteBound[[i]] sites_map <- sites_map %>% leaflet::addPolygons( data = site_polygon, popup = ~ title, group = i ) } sites_map
Using the same LTER-Italy sites list, the next example provide a contact list of all lake site managers.
library(dplyr) sites <- as_tibble( listItaSites ) %>% filter(grepl("Lago", title)) %>% filter(!row_number() %in% c(1, 21, 22)) allSiteContact <- lapply( as.list( sites$uri ), ReLTER::get_site_info, category = "Contacts" ) contacts <- tibble::tibble( siteName = NA, managerName = NA, managerEmail = NA, managerORCID = NA ) for (i in seq_len(length(allSiteContact))) { contacts <- contacts %>% tibble::add_row( siteName = allSiteContact[[i]]$title, managerName = allSiteContact[[i]]$generalInfo.siteManager[[1]]$name, managerEmail = allSiteContact[[i]]$generalInfo.siteManager[[1]]$email, managerORCID = allSiteContact[[i]]$generalInfo.siteManager[[1]]$orcid ) } # Contacts table knitr::kable( contacts, caption = "List of the contacts" )
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