geo_s2cell_neighbors()

Calcula os vizinhos da célula S2.

Syntax

geo_s2cell_neighbors(s2cell)

Saiba mais sobre as convenções de sintaxe.

Parâmetros

Nome Tipo Obrigatório Descrição
s2cell string ✔️ Valor do token de célula S2 conforme foi calculado por geo_point_to_s2cell(). O comprimento máximo da cadeia de caracteres do token de célula S2 é de 16 caracteres.

Retornos

Uma matriz de vizinhos de célula S2. Se a célula S2 for inválida, a consulta produzirá um resultado nulo.

Observação

As bordas da célula S2 são geodésicas esféricas.

Exemplos

O exemplo a seguir calcula os vizinhos da célula S2.

print neighbors = geo_s2cell_neighbors('89c259')

Saída

Vizinhos
["89c25d","89c2f9","89c251","89c257","89c25f","89c25b","89c2f7","89c2f5"]

O exemplo a seguir calcula uma matriz de célula S2 de entrada com seus vizinhos.

let s2cell = '89c259';
print cells = array_concat(pack_array(s2cell), geo_s2cell_neighbors(s2cell))

Saída

células
["89c259","89c25d","89c2f9","89c251","89c257","89c25f","89c25b","89c2f7","89c2f5"]

O exemplo a seguir calcula a coleção de geometria GeoJSON dos polígonos de células S2.

let s2cell = '89c259';
print cells = array_concat(pack_array(s2cell), geo_s2cell_neighbors(s2cell))
| mv-expand cells to typeof(string)
| project polygons = geo_s2cell_to_polygon(cells)
| summarize arr = make_list(polygons)
| project geojson = bag_pack("type", "Feature","geometry", bag_pack("type", "GeometryCollection", "geometries", arr), "properties", bag_pack("name", "polygons"))

Saída

geojson
{"type": "Feature","geometry": {"type": "GeometryCollection","geometries": [
{"type": "Polygon","coordinates": [[[ -74.030012249838478, 40.8012684339439],[ -74.030012249838478, 40.7222262918358],[ -73.935982114337421, 40.708880489804564],[ -73.935982114337421, 40.787917134506841],[ -74.030012249838478, 40.8012684339439]]},
{"type": "Polygon","coordinates": [[[ -73.935982114337421, 40.708880489804564],[ -73.935982114337421, 40.629736433321796],[ -73.841906340776248, 40.616308079144915],[ -73.841906340776248, 40.695446474556284],[ -73.935982114337421, 40.708880489804564]]},
{"type": "Polygon","coordinates": [[[ -74.1239959854733, 40.893471289549765],[ -74.1239959854733, 40.814531536204242],[ -74.030012249838478, 40.8012684339439],[ -74.030012249838478, 40.880202851376716],[ -74.1239959854733, 40.893471289549765]]},
{"type": "Polygon","coordinates": [[[ -74.1239959854733, 40.735483949993387],[ -74.1239959854733, 40.656328734184143],[ -74.030012249838478, 40.643076628676461],[ -74.030012249838478, 40.7222262918358],[ -74.1239959854733, 40.735483949993387]]},
{"type": "Polygon","coordinates": [[[ -74.1239959854733, 40.814531536204242],[ -74.1239959854733, 40.735483949993387],[ -74.030012249838478, 40.7222262918358],[ -74.030012249838478, 40.8012684339439],[ -74.1239959854733, 40.814531536204242]]},
{"type": "Polygon","coordinates": [[[ -73.935982114337421, 40.787917134506841],[ -73.935982114337421, 40.708880489804564],[ -73.841906340776248, 40.695446474556284],[ -73.841906340776248, 40.774477568182071],[ -73.935982114337421, 40.787917134506841]]]},
{"type": "Polygon","coordinates": [[[ -74.030012249838478, 40.7222262918358],[ -74.030012249838478, 40.643076628676461],[ -73.935982114337421, 40.629736433321796],[ -73.9359821114337421, 40.708880489804564],[ -74.030012249838478, 40.7222262918358]]},
{"type": "Polygon","coordinates": [[[ -74.030012249838478, 40.880202851376716],[ -74.030012249838478, 40.8012684339439],[ -73.935982114337421, 40.787917134506841],[ -73.935982114337421, 40.866846163445771],[ -74.030012249838478, 40.880202851376716]]},
{"type": "Polygon","coordinates": [[[ -73.935982114337421, 40.866846163445771],[ -73.935982114337421, 40.787917134506841],[ -73.841906340776248, 40.774477568182071],[ -73.841906340776248, 40.853401155678846],[ -73.935982114337421, 40.866846163445771]]]}]},
"properties": {"name": "polygons"}}

O exemplo a seguir calcula uniões de polígonos que representam a célula S2 e seus vizinhos.

let s2cell = '89c259';
print cells = array_concat(pack_array(s2cell), geo_s2cell_neighbors(s2cell))
| mv-expand cells to typeof(string)
| project polygons = geo_s2cell_to_polygon(cells)
| summarize arr = make_list(polygons)
| project polygon = geo_union_polygons_array(arr)

Saída

polygon
{"type": "Polygon","coordinates": [[[-73.841906340776248,40.695446474556284],[-73.841906340776248,40.774477568182071],[-73.841906340776248,40.853401155678846],[-73.935982114337421,40.866846163445771],[-74.030012249838478,40.880202851376716],[-74.1239959854733,40.893471289549758],[-74.1239959854733,40.814531536204242],[-74.1239959854733,40.735483949993387],[-74.1239959854733,40.656328734184143],[-74.030012249838478,40.643076628676461],[- 73.935982114337421,40.629736433321796],[-73.841906340776248,40.616308079144915],[-73.841906340776248,40.695446474556284]]]}

O exemplo a seguir retorna true devido à entrada de token de célula S2 inválida.

print invalid = isnull(geo_s2cell_neighbors('a'))

Saída

inválido
1