US Distance to Historic Hurricane

The US Distance to Wild Fire

API by GeoRiskServices.com allows you to calculate the distance of a given location to current and historical US hurricanes. Whether you are using geographic coordinates (latitude and longitude) or a physical address, this API provides flexibility and precision. Here’s how to use it effectively.

API Endpoint

The API can be accessed via the following endpoint:

https://www.allthingsdev.co/apimarketplace/endpoints/geo-risk-services/67b9249d563cbd684a8bf1fc

Understanding the JSON Schema

The API accepts input as a JSON object with the following schema:

Required Parameters

The API requires one of the following sets of parameters:

Latitude and Longitude:
- lat: Latitude (number, between -90 and 90)
- lon: Longitude (number, between -180 and 180)
Address:
- address: A string representing a physical address (e.g., “1600 Pennsylvania Ave NW, Washington, DC 20500”).

Optional Parameters

perf: Boolean – Enables performance metrics. Default: false.
dist_lines: Boolean – Returns additional distance line information. Default: false.
hurr_lines: Boolean – Returns additional hurricane track line information. Default: false.
season_start_year: number – Set the hurricane season start year, inclusive: Default: 2020.
season_end_year: number – Set the hurricane season end year, inclusive: Default: 2024.
override_buffer: Boolean -Override the Default Buffer Radius Calculation of US Category multiplied by 10000 meters: Default: false.
override_buffer_meters: number -Buffer Radius of The Hurricane Track Multiplied by the US Category if override_buffer = true.: Default: 80000.
max_distance : The Maximum Distance in Meters Relative to Hurricanes
anno: Boolean – Includes annotations in the response. Default: true.

Schema Example

{
"lat": 34.052235,
"lon": -118.243683,
"dist_lines": true ,
"hurr_lines": true ,
"season_start_year": 2018,
"season_end_year":2024,
"override_buffer": false ,
"override_buffer_meters": 15000,
"max_distance": 80000,
"perf" : true,
"anno" : true
}

Or using an address:

{
"address": "1205 Peregrine Dr, Charleston, SC, 29412",
"dist_lines": true ,
"hurr_lines": true ,
"season_start_year": 2018,
"season_end_year":2024,
"override_buffer": false ,
"override_buffer_meters": 15000,
"max_distance": 80000,
"perf" : true,
"anno" : true
}

Step-by-Step Guide to Using the API

Step 1: Prepare Your Request

Choose the method of input:

Use lat and lon if you have geographic coordinates.
or
Use address if you have a street address.
use dist_lines to return the geojson straight line representation.
use hurr_lines to return the geojson hurricane track line representation.
use season_start_year to set the hurricane season start year, inclusive.
use season_end_year to set the hurricane season end year, inclusive.
use override_buffer to select to override the default buffer.
use override_buffer_meters to set the override buffer in meters if override_buffer = true
use max_distance to return the distance from the location to search.
use perf to return the api and database performance metrics.
use anno to return the sources used in the api

Step 2: Send a POST Request

Make a POST request to the API endpoint with the prepared JSON payload. Here’s an example using curl:

Using Latitude and Longitude:

curl --location 'https://Geo-Risk-Services.proxy-production.allthingsdev.co/usdistance2hurr' \
--header 'Content-Type: application/json' \
--header 'x-apihub-key: fj1jXaBtgygVVeOXYx6F1mNcd70F00XmnLnbEvGnNr831j-t5f' \
--header 'x-apihub-host: Geo-Risk-Services.allthingsdev.co' \
--header 'x-apihub-endpoint: 414e7f97-91ed-4225-b566-3961ddc91690' \
--header 'Content-Type: application/json' \
--data '{ "lat":32.72170766766838,"lon":-79.95086341522955,"dist_lines":true,"hurr_lines":true,"season_start_year":2018,"season_end_year":2024,"override_buffer":false,"override_buffer_meters":15000,"max_distance":80000,"perf":true,"anno":true}'

Using an Address:

curl --location 'https://Geo-Risk-Services.proxy-production.allthingsdev.co/usdistance2hurr' \
--header 'Content-Type: application/json' \
--header 'x-apihub-key: fj1jXaBtgygVVeOXYx6F1mNcd70F00XmnLnbEvGnNr831j-t5f' \
--header 'x-apihub-host: Geo-Risk-Services.allthingsdev.co' \
--header 'x-apihub-endpoint: 414e7f97-91ed-4225-b566-3961ddc91690' \
--header 'Content-Type: application/json' \
--data '{
  "address": "1205 Peregrine Dr, Charleston, SC, 29412",
  "dist_lines": true,
  "hurr_lines": true,
  "season_start_year": 2018,
  "season_end_year": 2024,
  "override_buffer": false,
  "override_buffer_meters": 15000,
  "max_distance": 80000,
  "perf": true,
  "anno": true
}'

Step 3: Interpret the Response

The API will return a JSON response. For example:

{
“status”: “success”,
“db_perf_ms”: 345,
“api_perf_ms”: 2319,
“error”: “”,
“input_params”: {
“lat”: 32.72170766766838,
“lon”: -79.95086341522955,
“address”: “1205 Peregrine Dr, Charleston, SC, 29412”,
“perf”: true,
“dist_lines”: true,
“season_start_year”: 2018,
“season_end_year”: 2024,
“max_distance”: 80000,
“hurr_lines”: true,
“anno”: true,
“elev_ft”: 10.64295095737232,
“override_buffer”: false,
“override_buffer_meters”: 15000
},
“results”: [
{
“dist_m”: 58245.12906457,
“dist_km”: 58.24512906457,
“hurr_name”: “DORIAN”,
“hurr_year”: 2019,
“dist_miles”: 36.19,
“pt_to_hurr”: {
“type”: “LineString”,
“coordinates”: [
[
-79.950863415,
32.721707668
],
[
-79.394660973,
32.485810116
]
]
},
“hurr_buffer”: {
“type”: “MultiPolygon”,
“coordinates”: [
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},
“loc_10days_precip_tot_in”: “1.39 in”
},
{
“dist_m”: 61656.17743002,
“dist_km”: 61.656177430019994,
“hurr_name”: “ISAIAS”,
“hurr_year”: 2020,
“dist_miles”: 38.31,
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},
“loc_10days_precip_tot_in”: “5.62 in”
}
]
}

Common Use Cases

Real Estate Applications: Determine how close properties are to the coast.
Environmental Analysis: Assess vulnerability to coastal hazards.
Insurance Risk Analysis: Determine physical property risks.
Travel and Logistics: Plan routes or stops based on proximity to the coast.

Tips for Efficient Use

Use geographic coordinates (lat, lon) for more accurate results.
Enable perf only if you need performance metrics.
Test queries with different configurations of dist_lines and anno to customize the response.
Use override_buffer and override_buffer_meters to model the hurricane buffer shape to bigger or smaller depending on need
Use max_distance to set the maximum search distance to search for buffered hurricane shapes

This API is an excellent tool for various geospatial analysis needs. With its simple input structure and detailed response, it’s easy to integrate into your applications or workflow

Geo Risk Services