NYC Planimetric Database: Hydrography

pjs3-c3z5Environment8 columns

Planimetric basemap layer containing hydrography. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

View on NYC Open Data

Quality

B84.2 / 100

From a 500-row sample across 8 columns.

completeness99/ 25% weight

consistency69/ 20% weight

accuracy89/ 20% weight

timeliness72/ 15% weight

usability85/ 20% weight

· No obvious temporal column — limits time-series joins

Related datasets

NYC Planimetric Database: Pavement Edge0.71
joins onshape_lengstatusthe_geom+3
NYC Planimetric Database: Sidewalk0.71
joins onshape_lengstatusthe_geom+4
NYC Planimetric Database: Transportation Structures0.71
joins onshape_lengstatusname+5
NYC Planimetric Database: Hydrography Structures0.70
joins onshape_lengstatusthe_geom+4

Sample rows

the_geom	name	source_id	feat_code	sub_code	status	shape_leng	shape_area
{"type":"MultiPolygon","coordinates":[[[[-74.04707890052428,40.69049105653108],[-74.04709155999066,40.69051738686291],[-74.04710555086434,40.69054270357087],[-74.04710823300978,40.6905730893936],[-74.04711091812992,40.69060600745825],[-74.04711160340018,40.690634874031666],[-74.04711228412953,40.69065563868882],[-74.04711762099046,40.69067589445068],[-74.04710355527466,40.690675304969496],[-74.04700387822231,40.69055750185455],[-74.04699017363362,40.690533795135195],[-74.04707890052428,40.69049105653108]]]]}	unset	19265000031.0	2650	265000	Unchanged	162.458070583	1178.09277425
{"type":"MultiPolygon","coordinates":[[[[-73.89995885477707,40.89759588458431],[-73.89996510237336,40.89759547037243],[-73.89997284653484,40.89759893764465],[-73.90000683243503,40.89765719151421],[-73.90003297477514,40.89769287784299],[-73.90005535607138,40.897723239946814],[-73.90006002617217,40.897736464902955],[-73.90006643340105,40.897783012889995],[-73.90006240982422,40.89779362882026],[-73.90004756796934,40.897810536074026],[-73.90002461878247,40.89782081414233],[-73.90000207438267,40.897825493344385],[-73.89997785302936,40.897824710551255],[-73.89995272028725,40.89781602611254],[-73.89993555497036,40.89780362957381],[-73.89992069464391,40.897783914992495],[-73.89991887543309,40.89776811261436],[-73.89993464836205,40.897713725318525],[-73.89994767100733,40.89768101660151],[-73.89995032066128,40.89764023775628],[-73.89995135349203,40.89762185796184],[-73.89994971584323,40.897607636091394],[-73.89995885477707,40.89759588458431]]]]}

Columns

8 queryable · 7 profiled

The machine field names SoQL needs, with the publisher's own description of each.

Field	Type	Description	Null	Values
`the_geom`	unknown	Geometry field used for mapping. Geometry Type: Polygon	—	—
`name`	text	Name of Waterbody or Watercourse.	16%	`unsetMARSHNO NAME`
`source_id`	integer	Unique feature Identification Number.	0%	`0.02264000230.016263000262.0`
`feat_code`	categorical	Feature Code Indicates the type of feature.	0%	`261026402630`of 7
`sub_code`	categorical	Sub Feature Code (where applicable) indicates a subset of features within a given “Feature_Code” set.

Query this from your own app

GET /api/datasets/pjs3-c3z5
GET /api/datasets/pjs3-c3z5/quality
GET /api/datasets/pjs3-c3z5/related
GET /api/columns?dataset=pjs3-c3z5