This function retrieves a filtered dataset from the specified Overture dataset type,
optionally within a bounding box, and converts it to an sf object.
Arguments
- overture_type
Character. Required. The type of feature to select. Examples include 'building', 'place', etc. To learn more, run
get_all_overture_types().- bbox
Numeric vector. Optional. A bounding box specified as c(xmin, ymin, xmax, ymax). It is recommended to use a bounding box to limit the dataset size and processing time. Without a bounding box, processing the entire dataset (e.g., buildings over 2 billion) can be time-consuming.
Examples
# \donttest{
# Example usage with a bounding box takes > 20 secs
sf_bbox <- c(-122.5, 37.7, -122.3, 37.8)
result <- record_batch_reader(overture_type = 'place', bbox = sf_bbox)
#> OGR: Unsupported geometry type
#> OGR: Unsupported geometry type
#> OGR: Unsupported geometry type
print(result)
#> Simple feature collection with 34384 features and 14 fields (with 10 geometries empty)
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -122.5 ymin: 37.70001 xmax: -122.3003 ymax: 37.79999
#> Geodetic CRS: WGS 84
#> # A tibble: 34,384 × 15
#> id geometry bbox$xmin version update_time sources
#> * <chr> <POINT [°]> <dbl> <int> <chr> <list<>
#> 1 08f283094059… (-122.4964 37.70068) -122. 0 2024-05-10T00:0… [1 × 4]
#> 2 08f28309462d… (-122.494 37.70005) -122. 0 2024-05-10T00:0… [6 × 4]
#> 3 08f283094290… (-122.4918 37.70196) -122. 0 2024-05-10T00:0… [1 × 4]
#> 4 08f283094290… (-122.4905 37.70099) -122. 0 2024-05-10T00:0… [1 × 4]
#> 5 08f283094291… (-122.4889 37.70062) -122. 0 2024-05-10T00:0… [1 × 4]
#> 6 08f28309429a… (-122.4885 37.70176) -122. 0 2024-05-10T00:0… [1 × 4]
#> 7 08f283094282… (-122.4919 37.70281) -122. 0 2024-05-10T00:0… [1 × 4]
#> 8 08f283094282… (-122.492 37.7029) -122. 0 2024-05-10T00:0… [2 × 4]
#> 9 08f283094282… (-122.492 37.7029) -122. 0 2024-05-10T00:0… [1 × 4]
#> 10 08f283094282… (-122.4919 37.70293) -122. 0 2024-05-10T00:0… [1 × 4]
#> # ℹ 34,374 more rows
#> # ℹ 12 more variables: bbox$xmax <dbl>, $ymin <dbl>, $ymax <dbl>,
#> # names <tibble[,3]>, categories <tibble[,2]>, confidence <dbl>,
#> # websites <list<character>>, socials <list<character>>,
#> # emails <list<character>>, phones <list<character>>, brand <tibble[,2]>,
#> # addresses <list< tbl_df< freeform: character locality: character postcode: character region : character country : character >>>
# }