通过

geo_geohash_neighbors()

  • 项目

适用于：✅Azure 数据资源管理器✅Azure Monitor✅Microsoft Sentinel

计算 Geohash 邻居。

阅读有关 geohash 的详细信息。

语法

geo_geohash_neighbors(geohash)

详细了解语法约定。

参数

客户 类型​​ 必需 说明
geohash string ✔️ 由 geo_point_to_geohash() 计算得出的 geohash 值。 geohash 字符串必须介于 1 到 18 个字符之间。

返回

Geohash 邻居的数组。 如果 Geohash 无效，则查询会生成 null 结果。

示例

以下示例计算 Geohash 邻居。

print neighbors = geo_geohash_neighbors('sunny')

输出

neighbors
["sunnt","sunpj","sunnx","sunpn","sunnv","sunpp","sunnz","sunnw"]

以下示例计算包含其邻居的输入 Geohash 的数组。

let geohash = 'sunny';
print cells = array_concat(pack_array(geohash), geo_geohash_neighbors(geohash))

输出

单元格
["sunny","sunnt","sunpj","sunnx","sunpn","sunnv","sunpp","sunnz","sunnw"]

以下示例计算 Geohash 多边形 GeoJSON 几何图形集合。

let geohash = 'sunny';
print cells = array_concat(pack_array(geohash), geo_geohash_neighbors(geohash))
| mv-expand cells to typeof(string)
| project polygons = geo_geohash_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"))

输出

geojson
{"type": "Feature","geometry": {"type": "GeometryCollection","geometries": [
{"type":"Polygon","coordinates":[[[42.451171875,23.6865234375],[42.4951171875,23.6865234375],[42.4951171875,23.73046875],[42.451171875,23.73046875],[42.451171875,23.6865234375]]]},
{"type":"Polygon","coordinates":[[[42.4072265625,23.642578125],[42.451171875,23.642578125],[42.451171875,23.6865234375],[42.4072265625,23.6865234375],[42.4072265625,23.642578125]]]},
{"type":"Polygon","coordinates":[[[42.4072265625,23.73046875],[42.451171875,23.73046875],[42.451171875,23.7744140625],[42.4072265625,23.7744140625],[42.4072265625,23.73046875]]]},
{"type":"Polygon","coordinates":[[[42.4951171875,23.642578125],[42.5390625,23.642578125],[42.5390625,23.6865234375],[42.4951171875,23.6865234375],[42.4951171875,23.642578125]]]},
{"type":"Polygon","coordinates":[[[42.451171875,23.73046875],[42.4951171875,23.73046875],[42.4951171875,23.7744140625],[42.451171875,23.7744140625],[42.451171875,23.73046875]]]},
{"type":"Polygon","coordinates":[[[42.4072265625,23.6865234375],[42.451171875,23.6865234375],[42.451171875,23.73046875],[42.4072265625,23.73046875],[42.4072265625,23.6865234375]]]},
{"type":"Polygon","coordinates":[[[42.4951171875,23.73046875],[42.5390625,23.73046875],[42.5390625,23.7744140625],[42.4951171875,23.7744140625],[42.4951171875,23.73046875]]]},
{"type":"Polygon","coordinates":[[[42.4951171875,23.6865234375],[42.5390625,23.6865234375],[42.5390625,23.73046875],[42.4951171875,23.73046875],[42.4951171875,23.6865234375]]]},
{"type":"Polygon","coordinates":[[[42.451171875,23.642578125],[42.4951171875,23.642578125],[42.4951171875,23.6865234375],[42.451171875,23.6865234375],[42.451171875,23.642578125]]]}]},
"properties": {"name": "polygons"}}

以下示例计算表示 Geohash 及其邻居的多边形联合。

let h3cell = 'sunny';
print cells = array_concat(pack_array(h3cell), geo_geohash_neighbors(h3cell))
| mv-expand cells to typeof(string)
| project polygons = geo_geohash_to_polygon(cells)
| summarize arr = make_list(polygons)
| project polygon = geo_union_polygons_array(arr)

输出

polygon
{"type":"Polygon","coordinates":[[[42.4072265625,23.642578125],[42.451171875,23.642578125],[42.4951171875,23.642578125],[42.5390625,23.642578125],[42.5390625,23.686523437500004],[42.5390625,23.730468750000004],[42.5390625,23.7744140625],[42.4951171875,23.7744140625],[42.451171875,23.7744140625],[42.407226562499993,23.7744140625],[42.4072265625,23.73046875],[42.4072265625,23.6865234375],[42.4072265625,23.642578125]]]}

以下示例由于 Geohash 令牌输入无效而返回 true。

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

输出

无效
1