Google announced that it has newly added geospatial data into BigQuery1. According to the announcement and an accompanying blog post the additions encompass:
- “Imagery Insights” data: This data applies “Vertex AI” to Google Street View imagery “to identify, detect, and see the condition of key infrastructure objects, like telephone poles, street signs, roads, and bridges.”
- “Places Insights” data: This data offers “customized, aggregated insights about many places (…) based on ratings, store hours, parking, wheelchair accessibility, and more.”
- “Roads Management Insights” data: This data allows users to “analyze traffic data and improve roads with historical and real-time traffic information.”
- Google Earth Engine data and analysis functions: This adds “a new geospatial function” (sic2) and 20 new ©datasets from Google Earth Engine to BigQuery.
Footnotes
Google’s data warehouse (DWH) Platform-as-a-Service offering↩︎
Digging deeper, this probably refers to a function called
ST_REGIONSTATS()
. Digging even deeper, it sounds likeST_REGIONSTATS()
is some kind of zonal statistics function, in GIS parlance, for Google Earth Engine data.↩︎