20250706
15414100
1.0
FALSE
fsTree
-102.832057
-102.723973
46.861654
46.923177
1
002
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20261103
07584100
20261103
07584100
250000
2500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Daryl Hochhalter
City of Dickinson, ND
GIS Specialist
Daryl Hochhalter
38 1st Street West
Dickinson
ND
58601
US
701-456-7019
Ryan Fell
City of Dickinson, ND
GIS Technician
Ryan Fell
38 1st Street West
Dickinson
ND
58601
US
701-456-5647
Feature
SQL 2022
Daryl Hochhalter
City of Dickinson, ND
GIS Specialist
Daryl Hochhalter
38 1st Street West
Dickinson
ND
58601
US
701-456-7019
Ryan Fell
City of Dickinson, ND
GIS Technician
Ryan Fell
38 1st Street West
Dickinson
ND
58601
US
701-456-5647
2020-01-01T00:00:00
fsTree
fsTree FacilitiesStreets Simple Point for the <a href="https://www.dickinsongov.com" target="_blank" STYLE="text-decoration:underline;"><span>City of Dickinson,ND.</span></a>
Features related to transportation.
This spatial dataset contains features currently available in a suitable digital format. The dataset may not include all the features that exist and some features may not be accurately located. The layers are edited routinely to make corrections and include missing features and attributes as time and available documentation allow.
This digital data is an approximate representation of actual physical assets, boundaries, and other information intended to assist in carrying out activities beneficial to the City of Dickinson and the public it serves. It is useful for visualization and analysis, but does not represent, replace or preclude any legally binding document or survey.
The information contained herein is furnished as a public service by the City of Dickinson. The City of Dickinson makes no warranties, either expressed or implied, concerning the accuracy, completeness, reliability, or suitability of the information for any other particular use. The City disclaims any responsibility for interpretations or decisions based on the data. Furthermore, the City of Dickinson assumes no liability associated.
City of Dickinson, ND <a href="https://www.dickinsongov.com/development-services" target="_blank" STYLE="text-decoration:underline;"><span>Community Development Department</span></a> - GIS
GIS
Dickinson
ND
Features
Facilities
Streets
Utilities
Electric
Fiber
Lights
Poles
Signs
FacilitiesStreets fsTree in or near the <a href="https://www.dickinsongov.com" target="_blank" STYLE="text-decoration:underline;"><span>City of Dickinson,ND.</span></a>
Esri ArcGIS 13.5.9.57366
0.000000
0.000000
1
-102.832057
-102.723973
46.923177
46.861654
City of Dickinson in Stark County North Dakota
City of Dickinson in Stark County North Dakota
fsTree
Feature Class
7971
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FACILITYID
Facility ID
String
50
0
0
LOCATIONID
Location Identifier
String
50
0
0
TREEID
Tree Address ID
String
50
0
0
PROPNUM
Property Number
String
50
0
0
PROPST
Property Street
String
50
0
0
TREEST
Tree Street
String
50
0
0
GENUS
Tree Genus
String
50
0
0
SPECIES
Tree Species
String
50
0
0
CULTIVAR
Tree Cultivar
String
50
0
0
COMNAME
Tree Common Name
String
50
0
0
TREEDESC
Tree Description
String
300
0
0
TREECOND
Tree Condition
String
20
0
0
TREEZONE
Tree Zone
String
20
0
0
PLANTED
Date Planted
Date
8
0
0
MARKED
Marked for Removal
Date
8
0
0
REMOVED
Date Removed
Date
8
0
0
TRUNK
Trunk Diameter (in)
Integer
4
10
0
HEIGHT
Tree Height (ft)
Integer
4
10
0
CANOPY_EW
Canopy Spread EW (ft)
Integer
4
10
0
CANOPY_NS
Canopy Spread NS (ft)
Integer
4
10
0
DED
Dutch Elm Disease
SmallInteger
2
5
0
DEDHAZ
Dutch Elm Hazard
SmallInteger
2
5
0
EAB
Emerald Ash Bore
SmallInteger
2
5
0
WETWOOD
Wetwood
SmallInteger
2
5
0
HEARTROT
Heart Rot
SmallInteger
2
5
0
FECHLOR
Iron Chlorosis
SmallInteger
2
5
0
FREEZE
Freeze Back
SmallInteger
2
5
0
DIEBACK
Die Back
SmallInteger
2
5
0
DWPRUNE
Dead Wood Prune
Date
8
0
0
DRPRUNE
Directional Prune
Date
8
0
0
CLPRUNE
Clearance Prune
Date
8
0
0
THPRUNE
Therapeutic Prune
Date
8
0
0
WEED_BR
Weed Barrier
SmallInteger
2
5
0
WATER
Years Watered
SmallInteger
2
5
0
GAURDS
Gaurds/Shelter
SmallInteger
2
5
0
FERTILIZER
Fertilizer
String
50
0
0
INSECTICIDE
Insecticide
String
50
0
0
HERBICIDE
Herbicide
String
50
0
0
FUNGICIDE
Fungiicide
String
50
0
0
WE_DAMAGE
Weed Eater Damage
Date
8
0
0
OH_WIRES
Overhead Wires
SmallInteger
2
5
0
UG_LINES
Underground Lines
SmallInteger
2
5
0
UTILDESC
Utility Description
String
300
0
0
BLVDSIZE
Boulevard Width (ft)
Integer
4
10
0
FEATTYPE
Feature Type
String
60
0
0
FEATSUBTYPE
Pole Subtype
String
50
0
0
ELEVATION
Elevation
Double
8
38
8
OWNEDBY
Owned By
SmallInteger
2
5
0
MAINTBY
Managed By
SmallInteger
2
5
0
LASTUPDATE
Last Update Date
Date
8
0
0
LASTEDITOR
Last Editor
String
50
0
0
CREATIONDATE
Date Created
Date
8
0
0
CREATOR
Creator
String
50
0
0
ESRIGNSS_RECEIVER
Receiver Name
String
50
0
0
ESRIGNSS_H_RMS
Horizontal Accuracy (m)
Double
8
38
8
ESRIGNSS_V_RMS
Vertical Accuracy (m)
Double
8
38
8
ESRIGNSS_LATITUDE
Latitude
Double
8
38
8
ESRIGNSS_LONGITUDE
Longitude
Double
8
38
8
ESRIGNSS_ALTITUDE
Altitude
Double
8
38
8
ESRIGNSS_PDOP
PDOP
Double
8
38
8
ESRIGNSS_HDOP
HDOP
Double
8
38
8
ESRIGNSS_VDOP
VDOP
Double
8
38
8
ESRIGNSS_CORRECTIONAGE
Correction Age
Double
8
38
8
ESRIGNSS_FIXTYPE
Fix Type
SmallInteger
2
5
0
ESRIGNSS_NUMSATS
Number of Satellites
SmallInteger
2
5
0
ESRIGNSS_FIXDATETIME
Fix Time
Date
8
0
0
ESRIGNSS_AVG_H_RMS
Average Horizontal Accuracy (m)
Double
8
38
8
ESRIGNSS_AVG_V_RMS
Average Vertical Accuracy (m)
Double
8
38
8
ESRIGNSS_AVG_POSITIONS
Averaged Positions
Integer
4
10
0
ESRIGNSS_H_STDDEV
Standard Deviation (m)
Double
8
38
8
ESRIGNSS_STATIONID
ESRIGNSS_STATIONID
SmallInteger
2
5
0
GlobalID
GlobalID
GlobalID
38
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
dataset
EPSG
6.2(3.0.1)
7971
Simple
FALSE
7971
TRUE
FALSE
20261103