Tile Historic Event

Tile Historic Event Method

tile.get_historic_event(
    coordinate, 
    event_id,
    image=False,
    output_dir='/output'
)

Provides a 256x256 map tile that represents flood inundation with 5 depth thresholds (1-15cm (0-6in), 16-30cm (6-12in), 31-61cm (12-24in), 62- 91cm (24-36in), 92+cm (36+in)) from the historic event.

In addition to a zoom level and x,y coordinates based on the Mercator projection, this function requires an eventId. Max zoom is level 18. The map provided here can be used to find the coordinates at a specified zoom level.

This method returns an array of Historic Event Tile product for the given coordinates, and optionally creates an image file.

(More information on the Tile Historic Event product can be found on the Historic Event Page on the First Street Foundation API Data Dictionary)

Arguments:

search_items: list of tuple of int [(z, x, y)], coordinates to retrieve tile historic event.
event_id: int, the event ID to retrieve the tile for.
image: bool, whether to create an image for the retrieved data.
output_dir: string, location to output the created image (if image is True).

Example (Command Line):

Call tile.get_historic_event on a list with 2 coordinates

python -m firststreet -p tile.get_historic_event -s (12,932,1715);(12,942,1715) -eid 10
python -m firststreet -p tile.get_historic_event -s (12,932,1715);(12,942,1715) -eid 14

Call tile.get_historic_event on a list with 2 coordinates

python -m firststreet -p tile.get_historic_event -s sample_coordinate.txt -eid 10
python -m firststreet -p tile.get_historic_event -s sample_coordinate.txt -eid 14

Example (Python File):

# Contents of sample.py
# Create a `FirstStreet` object.  
import firststreet
fs = firststreet.FirstStreet("api-key")

# Call tile.get_historic_event on a list with 1 county FSID
tile_probability_depth = fs.tile.get_historic_event(search_items=[(12,932,1715), (12,942,1715)], event_id=10)

# Call tile.get_historic_event on a file of SearchItems
tile_probability_depth = fs.tile.get_historic_event(search_items="sample_coordinates.txt", csv=True)