Post by Jane, Geography and Technology, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
Continue readingPost by Jane, Geography and Technology, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
Continue readingDarllenwch y dudalen hon yn Gymraeg
We recently published a new and improved version of our International goods trade: interactive dashboard, presenting regional trade statistics (RTS) from HMRC. It includes a trade summary, maps, charts and tables of trade with specific countries and by product and time series charts.
Continue readingPost by Indeg, Cymraeg 2050 Team, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
When we published the Welsh language technology action Plan in 2018, our aim was to create technological advances that would enable us to use more Welsh in a wide range of situations. In February 2024, the then Minister for Education and Welsh Language published the final report on this Plan, looking back at our progress, including advancements in AI.
Continue readingDarllenwch y dudalen hon yn Gymraeg
The last Welsh Index of Multiple Deprivation (WIMD) was published in 2019. As set out in our index update blog last year, an updated index will be published in late 2025 or early 2026. We are aiming for late 2025 and currently refer to the planned update as WIMD 2025.
Continue readingDarllenwch y dudalen hon yn Gymraeg.
We are working on a new and improved platform for StatsWales to keep up with technological updates and user needs. As a consequence, and as explained in our first blog, our OData service has not been available since the end of August. We provided an update last month covering our plans for the temporary arrangements until the new StatsWales service is in place in 2025.
This post provides a further update on the availability of data files to temporarily replace OData.
Continue readingPost by Evie, Data Science Unit, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
There are many areas of Wales where woodland clearance has taken place, especially since the 19th century. We define ‘lost historic woodland’ as areas of woodland that existed on historic maps but no longer exist today. These areas may be suitable for re-planting because the original soil is well suited for tree growth having an established root network and ecosystem. Finding these areas and targeting them could improve success rates of woodland creation or regeneration schemes and support delivery of key government targets, such as the National Forest for Wales. This blog describes how the Data Science Unit is using computer vision (a type of AI that works with images) to do this.
Continue readingDarllenwch y dudalen hon yn Gymraeg.
We are working on a new and improved platform for StatsWales to keep up with technological updates and user needs. As a consequence, and as explained in our previous blog, our OData service will not be available from the end of August.
This post provides an update on the temporary arrangements we are putting in place to replace OData until the new StatsWales service is in place in 2025.
Continue readingBlog by Peter, Digital Infrastructure, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
It’s been over a year since my last blog which covered how LoRaWAN is helping to fight crime and tackle climate change.
Since then, we have seen the Smart Towns programme flourish, with the team undertaking a significant amount of engagement, and hosting what is understood to be the first “Smart” conference focusing on towns, hosted in Wrexham (which ironically is a city!).
Continue readingDarllenwch y dudalen hon yn Gymraeg
LSOAs are geographical areas of similar population size used for reporting small area statistics. There are 1,917 LSOAs in Wales. Each LSOA contains between 400 and 1,200 households with a resident population between 1,000 and 3,000 people.
Continue readingPost by Steven, Data Science Unit, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
Data science is a key skill to transforming our work in Welsh Government, as we use it to modernise and automate data processes and help us to work efficiently, transparently and accurately. The data science unit has always been keen to help staff learn and improve their data science skills, and we have recently started two new initiatives to support this goal.
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