ISO 19115 Topic Category
boundaries
Safety
Emergency
St. Johns County
Florida
Southeast
United States
North America
St. Augustine
None
Intended only for St. Johns County Fire Rescue Department and St. Johns County GIS Division Staff.
Information from the St. Johns County Geographic Information System Division is provided for general reference purposes only and is not to be construed as a survey or legal document. Errors from non-coincidence of features from different sources may be present. The St. Johns County Geographic Information System makes every reasonable effort to ensure that the information provided herein is current and accurate. However, St. Johns County provides no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.
St. Johns County GIS Division
mailing and physical address
500 San Sebastian Vw
St. Augustine
Florida
32084
USA
904-209-0778
904-209-0779
7:30 am To 4:30 pm M-F
gis@sjcfl.us
St. Johns County GIS Division
Unpublished Material
Emergency Service Number Zone
sde.GEODATA.esn_zone
vector digital data
As needed
Restricted
Intended only for St. Johns County Fire Rescue Department and St. Johns County GIS Division Staff.
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.3.1.1850
en
This feature class represents the Emergency Service Number Zones for St. Johns County Fire Rescue Department.
The Emergency Service Number Zone is an administrative index of areas within St. Johns County which is assigned and grouped to generate service zones such as Fire, EMS, Fire second, Fire third, EMS second, EMS third, and Automatic Aid service zones.
publication date
3/24/2009
-81.691923
-81.212946
30.253362
29.621687
437699.755344
588508.341194
1923000.961116
2152133.730868
SDE Feature Class
St. Johns County GIS Division
Tom Tibbitts
mailing and physical address
St. Augustine
Florida
32084
USA
500 San Sebastian Vw
904-209-0784
904-209-0785
ttibbitts@sjcfl.us
7:30 am To 4:30 pm M-F
20090623
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
none
Contact GIS Division via email or phone to place order.
2 business days after request is made
St. Johns County GIS Division
mailing and physical address
500 San Sebastian Vw
St. Augustine
Florida
32084
USA
904-209-0778
904-209-0779
gis@sjcfl.us
7:30 am To 4:30 pm M-F
The St. Johns County GIS Division provides this data "as is" and makes no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.
Restricted Data
20240625
14485900
{9A35B54E-AF3B-444F-8FC4-410140F3CBCD}
20090324
13293800
FALSE
20240625
14485900
esn_zone
002
file://\\atlas\gisoffice\bob\station11\data.gdb
Local Area Network
324589.443346
588508.341196
1923000.960957
2273676.500582
1
Projected
GCS_North_American_1983_HARN
NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_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/3.2.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",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",-81.0],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",24.33333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2881]],VERTCS["NAVD_1988",VDATUM["North_American_Vertical_Datum_1988"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0],AUTHORITY["EPSG",5703]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>6096.0121920243837</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2881</WKID><LatestWKID>2881</LatestWKID><VCSWKID>5703</VCSWKID><LatestVCSWKID>5703</LatestVCSWKID></ProjectedCoordinateSystem>
Linear Unit: Foot_US (0.304801)
CopyFeatures "Database Connections\Orion.sde.ettibbitts.sde\sde.GEODATA.esn_zone" "Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.importer\GISDL.GEODATA.esn_zone" # 0 0 0
ChangePrivileges 'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.basin_catchment';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.basin_mitigation';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cemetery';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.county';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.electric_utility';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.esn_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.evac_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.lighting_district';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.NPDES_Permit_Zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pvedra_msd';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.solid_waste_collection';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.wind_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.zoning_dist' ettibbitts GRANT GRANT
ChangePrivileges 'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_point';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.VALIDATIONERROR_HISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.VALIDATIONERRORS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.VALIDATIONHISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STREETEXTRACT';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_NOMATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANSUFTYPE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.StructureStatus';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_COMPARE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_ERRORS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_MATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.solid_waste_collection';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANNAME';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANPREDIR';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANPRETYPE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANSUFDIR';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.StreetClass';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.test';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_site';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.wind_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.zoning_dist';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.zroad_old';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pt_interest';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pvedra_msd';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.railroad';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.RARA';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pc_sketch';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pc_public_land';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_poly';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_point';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_SITEVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_SALESVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_PARCELVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.Parcel_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_LEGALLINEVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_info';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.nursinghome_alf';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.NPDES_Permit_Zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_UPDATES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_TEMP2';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_TEMP';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_REPORT_HISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_PERMANENT';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_ONLINE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_NOMATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_MATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_LOOKUPS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_GIS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_ERRORS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_EXCEPTIONS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.mile_marker';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_COMPARE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MAXUNIQUEID';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.mc_rara';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.mc_sketch';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.inspector_zones';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.lighting_district';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MAPSAG_SETTINGS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.footprint';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.impact_fee';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.IMPORTINFO';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.emer_turn';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.esn_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.evac_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.exits';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINSUFDIRS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINSUFTYPES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINZIPCODES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.electric_utility';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINCOMMUNITIES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINPREDIRS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINPRETYPES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINSTREETNAMES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_lomr';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_lomr_maprevision';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_panel';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ConnectivityErrors';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.county';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_bfe';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_cobra';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cccl_prm';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cdd';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cemetery';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.CHHA';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cb_boat_ramp';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cb_sketch';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cccl_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cccl_poly';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.atlas_pageindex';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.basin_catchment';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.basin_mitigation';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.billboard';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALI_REPORT_HISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALIASES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_2000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_3000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.AdjacentCountySubmittal';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.Airport_Runway';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALI_COMPARE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALI_NOMATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.importer';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MapSAG';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.topology_lab';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ADDRESSCHANGEREPORT' GIS_Viewer GRANT #
ChangePrivileges 'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ADDRESSCHANGEREPORT';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ADDRESSCHANGEREPORT';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.AdjacentCountySubmittal';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.Airport_Runway';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALI_COMPARE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALI_NOMATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALI_REPORT_HISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.ALIASES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_2000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_3000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.atlas_pageindex';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.basin_catchment';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.basin_mitigation';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.billboard';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.boat_ramp';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cb_boat_ramp';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cb_sketch';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cccl_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cccl_poly';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cccl_prm';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cdd';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.cemetery';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.CHHA';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.code_enf_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.comm_redev_area';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.county';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.county_facility';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_bfe';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_cobra';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_lomr';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_lomr_maprevision';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_panel';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.dfirm_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINCOMMUNITIES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINPREDIRS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINPRETYPES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINSTREETNAMES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINSUFDIRS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINSUFTYPES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.DOMAINZIPCODES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.electric_utility';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.emer_turn';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.esn_zone_Final_Edits';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.evac_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.exits';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.footprint';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.golfcourse';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.golfcourse_point';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.golfhole';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.impact_fee';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.IMPORTINFO';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.inspector_zones';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.lighting_district';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MAPSAG_SETTINGS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.marina';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MAXUNIQUEID';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.mc_rara';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.mc_sketch';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.mile_marker';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.mosquito_district';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_COMPARE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_ERRORS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_EXCEPTIONS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_GIS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_LOOKUPS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_MATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_NOMATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_ONLINE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_PERMANENT';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_REPORT_HISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_TEMP';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_TEMP2';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.MSAG_UPDATES';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.NPDES_Permit_Zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.nursinghome_alf';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_info';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_LEGALLINEVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.Parcel_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_PARCELVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_SALESVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.parcel_SITEVIEW';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_point';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_poly';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_trail';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pc_public_land';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pc_sketch';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pt_interest';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pvedra_msd';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.railroad';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.RARA';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.scenic_hwy';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.slow_wake';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.solid_waste_collection';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANNAME';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANPREDIR';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANPRETYPE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANSUFDIR';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STANSUFTYPE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.StreetClass';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.STREETEXTRACT';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.StructureStatus';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.sunshine_bus_route';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.test';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_site';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_COMPARE';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_ERRORS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_MATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.USPS_NOMATCH';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.VALIDATIONERROR_HISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.VALIDATIONERRORS';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.VALIDATIONHISTORY';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.wind_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.zoning_dist' GIS_Viewer GRANT #
ChangePrivileges 'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.esn_zone' mapsag_editor GRANT GRANT
CalculateField GISDL.GEODATA.esn_zone FIRE 18 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE 18 VB #
CalculateField GISDL.GEODATA.esn_zone AutoAid_Agency "Jacksonville" VB #
CalculateField GISDL.GEODATA.esn_zone AutoAid_Agency "Clay County" VB #
CalculateField GISDL.GEODATA.esn_zone AutoAid_Agency "St Augustine" VB #
CalculateField GISDL.GEODATA.esn_zone AutoAid_Agency "St Johns County" VB #
CalculateField GISDL.GEODATA.esn_zone AutoAid_Agency "St Johns County" VB #
CalculateField GISDL.GEODATA.esn_zone AutoAid_Agency "St Johns County" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION_R [BATTALION] VB #
CalculateField GISDL.GEODATA.esn_zone ATU_1ST_R [ATU_1ST] VB #
CalculateField GISDL.GEODATA.esn_zone ATU_2ND_R [ATU_2ND] VB #
CalculateField GISDL.GEODATA.esn_zone DESTINATION_R [DESTINATION] VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION [BATTALION_R] VB #
CalculateField GISDL.GEODATA.esn_zone ATU_1ST [ATU_1ST_R] VB #
CalculateField GISDL.GEODATA.esn_zone ATU_2ND [ATU_2ND_R] VB #
CalculateField GISDL.GEODATA.esn_zone DESTINATION [DESTINATION_R] VB #
Append esn_zone GISDL.GEODATA.esn_zone TEST # #
CalculateField GISDL.GEODATA.esn_zone TANKER 0 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE 5 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE_2IN 5 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE_3IN 14 VB #
CalculateField GISDL.GEODATA.esn_zone EMS 5 VB #
CalculateField GISDL.GEODATA.esn_zone EMS_2IN 51 VB #
CalculateField GISDL.GEODATA.esn_zone EMS_3IN 14 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE 40 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE 40 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE 41 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE_2IN 40 VB #
CalculateField GISDL.GEODATA.esn_zone FIRE_3IN 41 VB #
DeleteFeatures "Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.esn_zone"
Append G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final "Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.esn_zone" NO_TEST "ESN_ZONE "ESN_ZONE" true true false 2 Short 0 5 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,ESN_ZONE,-1,-1;FIRE "FIRE" true true false 2 Short 0 5 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,FIRE,-1,-1;FIRE_2IN "FIRE_2IN" true true false 2 Short 0 5 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,FIRE_2IN,-1,-1;FIRE_3IN "FIRE_3IN" true true false 2 Short 0 5 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,FIRE_3IN,-1,-1;EMS "EMS" true true false 2 Short 0 5 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,EMS,-1,-1;EMS_2IN "EMS_2IN" true true false 2 Short 0 5 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,EMS_2IN,-1,-1;EMS_3IN "EMS_3IN" true true false 2 Short 0 5 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,EMS_3IN,-1,-1;AutoAid "AutoAid" true true false 8 Text 0 0 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,AUTOAID,-1,-1;AutoAid_Agency "AutoAid_Agency" true true false 20 Text 0 0 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,AUTOAID_AGENCY,-1,-1;BATTALION "BATTALION" true true false 20 Text 0 0 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,BATTALION,-1,-1;ATU_1ST "ATU_1ST" true true false 10 Text 0 0 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,ATU_1ST,-1,-1;ATU_2ND "ATU_2ND" true true false 10 Text 0 0 ,First,#,G:\Public_Safety\esn_zone_regions.gdb\esn_zone_motorola_final,ATU_2ND,-1,-1;DESTINATION "DESTINATION" true true false 20 Text 0 0 ,First,#;TANKER "TANKER" true true false 2 Short 0 5 ,First,#;Shape.area "Shape.area" false false true 0 Double 0 0 ,First,#;Shape.len "Shape.len" false false true 0 Double 0 0 ,First,#" #
CalculateField GISDL.GEODATA.esn_zone STROKE_GROUND !STROKE_GROUND!.strip() PYTHON_9.3 #
CalculateField GISDL.GEODATA.esn_zone STROKE_AIR !STROKE_AIR!.strip() PYTHON_9.3 #
CalculateField GISDL.GEODATA.esn_zone TRAUMA_GROUND !TRAUMA_GROUND!.strip() PYTHON_9.3 #
CalculateField GISDL.GEODATA.esn_zone TRAUMA_AIR !TRAUMA_AIR!.strip() PYTHON_9.3 #
CalculateField GISDL.GEODATA.esn_zone BATTALION "4 – North West Battalion" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "4–North West Battalion" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "4 – North West" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "[BATTALION] + " East"" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "4 - North West" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "1 - Northeast" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "4 - Northwest" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "3 - Central" VB #
CalculateField GISDL.GEODATA.esn_zone BATTALION "4 - Northwest" VB #
CalculateField GISDL.GEODATA.esn_zone ATU_1ST "LF" VB #
CalculateField GISDL.GEODATA.esn_zone TANKER 18 VB #
CalculateField GISDL.GEODATA.esn_zone ANIMAL [BATTALION] VB #
CalculateField GISDL.GEODATA.esn_zone ANIMAL "2 - Southeast" VB #
CalculateField GISDL.GEODATA.esn_zone ANIMAL "5 - Southwest" VB #
CalculateField GISDL.GEODATA.esn_zone ANIMAL "5 - Southwest" VB #
CalculateField GISDL.GEODATA.esn_zone ANIMAL "2 - Southeast" VB #
CopyFeatures C:\Users\bcarberry\AppData\Roaming\Esri\ArcGISPro\Favorites\Orion.intranet.co.st-johns.fl.us.sde\GISDL.GEODATA.esn_zone I:\bob\station11\data.gdb\esn_zone # # # #
20240625
Metadata imported.
G:\GISDL_Management\Metadata\MetaData_Template\MetadataTemplate.xml
20090324
13293800
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.2.0.49743
ESN Zones proposed
437699.755344
588508.341194
2152133.730868
1923000.961116
1
-81.691923
-81.212946
30.253362
29.621687
1
002
1
-82.053705
-81.212946
30.587552
29.619365
This feature class represents the Emergency Service Number Zones for St. Johns County Fire Rescue Department.
ESN Zones proposed
ESN Zones proposed
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
002
Server=Orion; Service=5151; Database=sde; User=geodata; Version=sde.DEFAULT
ArcSDE Connection
SDE Feature Class
File Geodatabase Feature Class
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_Florida_East_FIPS_0901_Feet
coordinate pair
survey feet
0.000164
0.000164
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
1.000000
NAD_1983_StatePlane_Florida_East_FIPS_0901_Feet
EPSG
6.3(9.0.0)
0
esn_zone
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
ESN_ZONE
ESN_ZONE
SmallInteger
2
0
0
Emergency Service Zone Number
FIRE
FIRE
SmallInteger
2
0
0
Primary Fire Response Zone
FIRE_2IN
FIRE_2IN
SmallInteger
2
0
0
Fire Response Zone - Level 2
FIRE_3IN
FIRE_3IN
SmallInteger
2
0
0
Fire Response Zone - Level 3
EMS
EMS
SmallInteger
2
0
0
Emergency Medical Service Zone Number
EMS_2IN
EMS_2IN
SmallInteger
2
0
0
EMS Response Zone - Level 2
EMS_3IN
EMS_3IN
SmallInteger
2
0
0
EMS Response Zone - Level 3
Shape
Shape
Geometry
0
0
0
Feature geometry.
ESRI
Coordinates defining the features.
AutoAid
AutoAid
String
8
0
0
Participates in Automatic Aid agreements
Yes, No
AutoAid_Agency
AutoAid_Agency
String
20
0
0
Automatic Aid agreement provider
BATTALION
BATTALION
String
20
0
0
ATU_1ST
ATU_1ST
String
10
0
0
ATU_2ND
ATU_2ND
String
10
0
0
TANKER
TANKER
SmallInteger
2
0
0
SQUAD
SQUAD
SmallInteger
2
0
0
TRAUMA_AIR
TRAUMA_AIR
String
25
0
0
TRAUMA_GROUND
TRAUMA_GROUND
String
25
0
0
STROKE_AIR
STROKE_AIR
String
25
0
0
STROKE_GROUND
STROKE_GROUND
String
25
0
0
ANIMAL
ANIMAL
String
20
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.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