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Adding remaining files for new dataset: Unique Property Reference Numbers (UPRN) in Trafford, derived from Ordnance Survey OS Open UPRN. Due to filesizes being large, commits are split to allow uploading to GitHub.
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‎unique_property_reference_numbers/README.md‎

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<table>
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<tr>
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<td>Dataset name</td>
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<td>Unique Property Reference Numbers in Trafford</td>
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</tr>
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<tr>
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<td>Dataset description</td>
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<td>An open dataset containing all the Unique Property Reference Numbers (UPRNs) within Trafford found in AddressBase Premium, with their respective geometries in British National Grid and Latitude, Longitude.</td>
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</tr>
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<tr>
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<td>Source</td>
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<td>Ordnance Survey OS Open UPRN</td>
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</tr>
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<tr>
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<td>Publisher</td>
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<td>Ordnance Survey</td>
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</tr>
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<tr>
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<td>Publisher URL</td>
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<td><a href="https://osdatahub.os.uk/downloads/open/OpenUPRN" target="_blank">https://osdatahub.os.uk/downloads/open/OpenUPRN</a></td>
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</tr>
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<tr>
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<td>Geography</td>
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<td>Points</td>
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</tr>
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<tr>
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<td>Geographic coverage</td>
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<td>Trafford</td>
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</tr>
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<tr>
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<td>Temporal coverage</td>
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<td>2024-11</td>
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</tr>
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<tr>
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<td>Update frequency</td>
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<td>Monthly</td>
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</tr>
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<tr>
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<td>Licence</td>
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<td><a href="http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" target="_blank">Open Government Licence</a></td>
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</tr>
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<tr>
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<td>Attribution</td>
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<td>OS Open UPRN provided by <a href="https://www.ordnancesurvey.co.uk/" target="_blank">Ordnance Survey</a></td>
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</tr>
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<tr>
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<td>Format</td>
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<td>CSV, GeoJSON</td>
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</tr>
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<tr>
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<td>Openness rating</td>
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<td>&#9733&#9733&#9733&#9734&#9734&nbsp; Structured data in open format (e.g. CSV)</td>
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</tr>
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<tr>
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<td>Last updated</td>
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<td>2024-12-12</td>
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</tr>
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<tr>
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<td>Notes</td>
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<td>The Unique Property Reference Number (UPRN) is a unique 12 digit number assigned to every unit of land and property recorded by local government. The UPRN uniquely and definitively identifies every addressable location in the country.</td>
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</tr>
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<tr>
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<td>Lab visualisation</td>
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<td>View data within the Lab's <a href="https://www.trafforddatalab.io/explore/#dataset=uprn">Explore application</a>.</td>
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</tr>
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</table>

‎unique_property_reference_numbers/index.Rmd‎

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---
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pagetitle: "Unique Property Reference Numbers in Trafford"
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lang: "en-GB"
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output:
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html_document:
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css: ../guidance/template/styles.css
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self_contained: TRUE
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---
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```{r setup, include=FALSE}
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knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)
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library(tidyverse) ; library(htmltools) ; library(DT)
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df <- read_csv("trafford_unique_property_reference_numbers.csv") %>%
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rename_all(. %>% str_to_title() %>% str_replace_all("_", " "))
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```
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<header>
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<span id="a11yNav"><a href="#downloads" class="themeBlockDark">Skip to downloads</a></span>
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<a href="https://www.trafforddatalab.io/data.html"><img src="https://www.trafforddatalab.io/assets/logo/trafforddatalab_logo.svg" alt="Trafford Data Lab" aria-label="Return to Trafford Data Lab data page" width="100" class="traffordDataLabLogo"/></a>
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<h1>Unique Property Reference Numbers in Trafford</h1>
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*The Unique Property Reference Number (UPRN) is a unique 12 digit number assigned to every unit of land and property recorded by local government. The UPRN uniquely and definitively identifies every addressable location in the country.*
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</header>
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<main>
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<h2>Metadata</h2>
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<table id="metadata" class="table table-condensed">
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<thead>
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<tr class="header">
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<th>Source</th>
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<th>Publisher</th>
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<th>Time period</th>
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<th>Geography</th>
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<th>Licence</th>
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<th>Attribution</th>
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<th>Last updated</th>
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</tr>
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</thead>
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<tr>
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<td><a href="https://osdatahub.os.uk/downloads/open/OpenUPRN" target="_blank">Ordnance Survey OS Open UPRN</a></td>
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<td><a href="https://www.ordnancesurvey.co.uk/" target="_blank">Ordnance Survey</a></td>
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<td>Monthly</td>
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<td>Point data</td>
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<td><a href="http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" target="_blank">Open Government Licence</a></td>
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<td>OS Open UPRN provided by <a href="https://www.ordnancesurvey.co.uk/" target="_blank">Ordnance Survey</a></td>
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<td><time datetime="2024-12-12">2024-12-12</time></td>
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</tr>
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</table>
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<h2>Preview</h2>
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Sort, filter and export a selection of the data using the table. An <a href="https://www.trafforddatalab.io/explore/#dataset=uprn" target="_blank">interactive map</a> is also available.
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```{r preview}
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datatable(df,
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class = 'cell-border stripe',
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rownames = FALSE,
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extensions = c('Scroller', 'Buttons', 'KeyTable'),
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options = list(
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keys = TRUE,
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search = list(regex = TRUE),
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searchHighlight = TRUE,
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dom = 'ftB',
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buttons = list(
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list(extend = "csv",
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text = "Download selection")),
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deferRender = TRUE,
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scrollX = TRUE,
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scrollY = 300,
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scroller = TRUE,
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autoWidth = TRUE,
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columnDefs = list(
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list(className = 'dt-left', targets = "_all")
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)))
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```
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<div id="tableFooterTitle">Unique Property Reference Numbers in Trafford</div>
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<h2>Data</h2>
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<span id ="downloads">Download the complete dataset using the following links:</span>
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|File name |Format |
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|---|---|
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|[trafford_unique_property_reference_numbers.csv](trafford_unique_property_reference_numbers.csv) |CSV |
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|[trafford_unique_property_reference_numbers.geojson](trafford_unique_property_reference_numbers.geojson) |GeoJSON |
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<h2>Pre-processing</h2>
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[The R script used to process the data](pre-processing.R) can be adapted to other areas. For information about R visit the <a href="https://cran.r-project.org" target="_blank">CRAN website</a>.
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</main>
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<script>
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// Fixes to dynamic elements created by DataTables to improve accessibility
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var removeElFn = setInterval(removeElement, 1000);
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function removeElement() {
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try {
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var el = document.getElementsByClassName("dataTables_scrollBody")[0].childNodes[0];
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el.removeChild(el.childNodes[0]); // Remove unwanted hidden text element from table - causing accessibility alert as it has no label
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el.parentNode.setAttribute('tabindex', '0'); // add attribute allowing keyboard users to access scrollable area
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clearInterval(removeElFn); // cancel any further calls to this function as we have completed all actions
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}
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catch(e) {
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// form element 'el' doesn't exist yet so setInterval will call the function again until it does
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}
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}
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</script>

‎unique_property_reference_numbers/index.html‎

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‎unique_property_reference_numbers/pre-processing.R‎

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# Unique Property Reference Numbers (UPRN) in Trafford
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# Source: https://osdatahub.os.uk/downloads/open/OpenUPRN
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# Licence: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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# Load required packages ---------
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library(tidyverse); library(httr); library(sf); library(lubridate)
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# Download and extract the data ---------
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# The data is available updated monthly, so enter the version in the format YYYYMM (you can check the version from the Source URL above)
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data_version <- "202411"
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# The URL shouldn't change from the API
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data_url <- "https://api.os.uk/downloads/v1/products/OpenUPRN/downloads?area=GB&format=CSV&redirect"
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download.file(data_url, destfile = paste0("osopenuprn_", data_version, "_csv.zip"), timeout = 5000)
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unzip(paste0("osopenuprn_", data_version, "_csv.zip"), exdir = ".", files = paste0("osopenuprn_", data_version, ".csv"))
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# Read in the data for the whole of GB
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df_uprn_gb <- read_csv(paste0("osopenuprn_", data_version, ".csv"))
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# Tidy-up removing the files we no longer need
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file.remove(paste0("osopenuprn_", data_version, "_csv.zip"))
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file.remove(paste0("osopenuprn_", data_version, ".csv"))
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# Extract just the data that lies within Trafford's boundary ---------
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# Load in Trafford's boundary as a spatial object
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sf_trafford <- st_read("https://www.trafforddatalab.io/council_open_data/boundaries/local_authority_district.geojson")
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# Convert the UPRN dataset into a spatial file using the LATITUDE and LONGITUDE variables
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sf_uprn_gb <- df_uprn_gb %>%
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# Make copies of the lat/lon coordinates to use later in the dataset as the originals will become the geometry
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mutate(lat = LATITUDE,
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lon = LONGITUDE) %>%
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st_as_sf(coords = c("LONGITUDE", "LATITUDE"),
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crs = "+proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0")
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# Perform spatial join to extract just those UPRNs within Trafford
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sf_uprn_trafford <- st_join(sf_uprn_gb, sf_trafford, join = st_within, left = FALSE)
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# Tidy the resultant spatial dataset for Trafford, renaming variables for clarity and adding version date ---------
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sf_uprn_trafford_tidy <- sf_uprn_trafford %>%
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mutate(version_date = paste(month(ymd(paste0(substring(data_version, 1, 4), "-", substring(data_version, 5, 6), "-01")), label = TRUE, abbr = FALSE), substring(data_version, 1, 4))) %>%
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rename(uprn = UPRN,
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easting = X_COORDINATE,
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northing = Y_COORDINATE,
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latitude = lat,
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longitude = lon) %>%
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select(uprn, latitude, longitude, easting, northing, area_code, area_name, version_date, geometry)
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# Create the output files ---------
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# Convert to a non-spatial dataset in order to output as CSV
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df_uprn_trafford <- sf_uprn_trafford_tidy %>%
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st_set_geometry(value = NULL)
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write_csv(df_uprn_trafford, "trafford_unique_property_reference_numbers.csv")
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st_write(sf_uprn_trafford_tidy, "trafford_unique_property_reference_numbers.geojson", driver = "GeoJSON")
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