def test_hex_area(self):
for i in range(0, 15):
self.assertTrue(isinstance(h3.hex_area(i), float))
self.assertTrue(isinstance(h3.hex_area(i, 'm^2'), float))
with pytest.raises(ValueError) as e_info:
h3.hex_area(5, 'ft^2')
self.assertTrue(isinstance(e_info.value, ValueError))
list_hex_edge_km = []
list_hex_edge_m = []
list_hex_perimeter_km = []
list_hex_perimeter_m = []
list_hex_area_sqkm = []
list_hex_area_sqm = []
for i in range(0, max_res + 1):
ekm = h3.edge_length(resolution=i, unit='km')
em = h3.edge_length(resolution=i, unit='m')
list_hex_edge_km.append(round(ekm, 3))
list_hex_edge_m.append(round(em, 3))
list_hex_perimeter_km.append(round(6 * ekm, 3))
list_hex_perimeter_m.append(round(6 * em, 3))
akm = h3.hex_area(resolution=i, unit='km^2')
am = h3.hex_area(resolution=i, unit='m^2')
list_hex_area_sqkm.append(round(akm, 3))
list_hex_area_sqm.append(round(am, 3))
df_meta = pd.DataFrame({
"edge_length_km": list_hex_edge_km,
"perimeter_km": list_hex_perimeter_km,
"area_sqkm": list_hex_area_sqkm,
"edge_length_m": list_hex_edge_m,
"perimeter_m": list_hex_perimeter_m,
"area_sqm": list_hex_area_sqm
})
df_meta[[
"edge_length_km", "perimeter_km", "area_sqkm", "edge_length_m",
import numpy
import sqlalchemy
from sqlalchemy.sql import func
import rasterio
import shapefile
from h3 import h3
import shapely.geometry as sgeom
from shapely.prepared import prep
from database import db
from raster_data import ecoregion_tile_from_geocoordinates
RESOLUTION: int = 5
AREA: float = h3.hex_area(RESOLUTION, "km^2")
# The resolution of our hexes should be about 450 km² following Gavin (2017)
assert h3.hex_area(RESOLUTION - 1, "km^2") > 450 > AREA
ARCMIN: float = 111.319 / 60. # km, at the equator.
SQUARE_OF_15_ARCSEC: float = (ARCMIN / 4.)**2 # km², at the equator
class Ecoregions:
cache = None
@classmethod
def ecoregions(cls):
"""
>>> eco = Ecoregions.ecoregions()
