20250520
17570500
1.0
FALSE
VegetationSpray
002
446629.348871
638384.980123
1204240.125023
1396075.508740
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Florida_West_FIPS_0902_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/10.7'><WKT>PROJCS["NAD_1983_StatePlane_Florida_West_FIPS_0902_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",656166.6666666665],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-82.0],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",24.33333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2237]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102659</WKID><LatestWKID>2237</LatestWKID></ProjectedCoordinateSystem>
20250523
13153800
20250523
13201000
150000000
5000
NAP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==
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
VegetationSpray
2025-05-23T00:00:00
1
-82.650378
-82.054926
28.174296
27.645129
SAFETY
INFRASTURCTURE
LOCATION
PLANNING
TRANSPORTATION
ASSET
PUBLIC WORKS
VEGETATION
SPRAY
Hillsborough County, FL
This dataset tacks vegetation control spray routes along roadways and rights-of-way within Hillsborough County for maintenance scheduling and transportation asset inventory purposes.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This line dataset representing routes where herbicide or vegetation management treatments are applied.within Hillsborough County.</SPAN></P></DIV></DIV></DIV>
<DIV STYLE="text-align:Left;"><P><SPAN>Hillsborough County makes no warranty, representation or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the information provided herein. The reader should not rely on the data provided herein for any reason. Hillsborough County explicitly disclaims any representations and warranties, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. Hillsborough County shall assume no liability for: 1. Any errors, omissions, or inaccuracies in the information provided regardless of how caused; or 2. Any decision made or action taken or not taken by any person in reliance upon any information or data furnished hereunder. This dataset is provided by Hillsborough County for informational purposes and Hillsborough County does not guarantee the accuracy or content of the data. Hillsborough County is not liable for any deficiencies in the dataset or analyses/applications using the dataset. This data should not be construed as legal advice or legal opinion on any specific facts or circumstances. The contents are intended for general information purposes only, and you are urged to consult your own lawyer concerning your own situation and any specific questions you may have. Infrastructure records, drawings, and other documents have been gathered over many decades, using differing standards for quality control, documentation and verification. All of the data provided represents current information in a readily available format. While the data is generally believed to be accurate, occasionally it proves to be incorrect; thus its accuracy is not warranted. Prior to making any property purchases or investments, or taking any other action based in full or in part upon the material provided, it is specifically advised that you independently field verify the information contained in county records.</SPAN></P></DIV>
Feature Class
dataset
EPSG
5.3(9.0.0)
493
Simple
FALSE
493
TRUE
FALSE
VegetationSpray
Feature Class
493
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
STREET
STREET
String
50
0
0
FRSTNM
FRSTNM
String
25
0
0
TOSTNM
TOSTNM
String
25
0
0
SERV_UNIT
SERV_UNIT
String
3
0
0
BLOCK
BLOCK
String
6
0
0
MOW_TYPE
MOW_TYPE
String
20
0
0
MILES
MILES
Double
8
38
8
OFF_CNTR
OFF_CNTR
String
5
0
0
STREET_ID
STREET_ID
String
8
0
0
GlobalID
GlobalID
GlobalID
38
0
0
SHAPE
SHAPE
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
SHAPE.STLength()
SHAPE.STLength()
Double
0
0
0
20250523
3826518F-9FBF-4709-B2CD-9E425A50FD43
external
6024ebf0cf071db5e21bfbd536ee577a
Hillsborough County
Performance, Data, & Analytics Department
Information & Innovation Office
601 E. Kennedy Blvd.
Tampa
FL
33602
GIS-Support@hillsboroughcounty.org
True
Hillsborough County