20220531094852001.0ISO 19139 Metadata Implementation SpecificationFALSEMS_FireStations_2008331509.775871646596.0714111050193.9824841576424.53879010.027file://\\10.10.17.25\data1\MARISdata\Cultural\MS_FireStations_2008\MS_FireStations_2008.shpLocal Area Network002ProjectedGCS_North_American_1983Linear Unit: Meter (1.000000)NAD_1983_Mississippi_TM<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/10.8'><WKT>PROJCS["NAD_1983_Mississippi_TM",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",500000.0],PARAMETER["False_Northing",1300000.0],PARAMETER["Central_Meridian",-89.75],PARAMETER["Scale_Factor",0.9998335],PARAMETER["Latitude_Of_Origin",32.5],UNIT["Meter",1.0],AUTHORITY["EPSG",3814]]</WKT><XOrigin>-5122200</XOrigin><YOrigin>-12297100</YOrigin><XYScale>450339697.45066422</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102609</WKID><LatestWKID>3814</LatestWKID></ProjectedCoordinateSystem>202205310951510020220531095151001500000005000(NGA) National Geospatial-Intelligence Agency10.4Shapefileexternalc2402f738beee3ef55db479ab4f3ec61Steve WalkerMARISGIS Operations ManagerTrueSteve Walker0.0272011-01-11T00:00:00(NGA) National Geospatial-Intelligence Agency(NGA) National Geospatial-Intelligence AgencyBethesdahsip_team@nga.mil MS_FireStations_2008Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. An assessment of whether or not the total fire fighting capability in a given area is adequate. 2. A list of resources to draw upon by surrounding areas when local resources have temporarily been overwhelmed by a disaster - route analysis can determine those entities that are able to respond the quickest. 3. A resource for Emergency Management planning purposes. 4. A resource for catastrophe response to aid in the retrieval of equipment by outside responders in order to deal with the disaster. 5. A resource for situational awareness planning and response for Federal Government events. *** NOTE see attached .html for full metadata including feild descriptions ****<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Fire Stations in the United States Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire Departments not having a permanent location are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Fire fighting training academies are also included. TGS has made a concerted effort to include all fire stations in the United States and its territories. This dataset is comprised completely of license free data. The HSIP Freedom Fire Station dataset and the HSIP Freedom EMS dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Please see the process description for the breakdown of how the records were merged. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 01/03/2005 and the newest record dates from 01/11/2010.</SPAN></SPAN></P><P><SPAN>**** NOTE April 2017, MARIS extracted the MS portion of this data set for distribution ***</SPAN></P></DIV></DIV></DIV>HISP, TechniGraphics, Inc.Culturalfire stationsIf you are using this dataset as a shapefile, please be aware that it was converted from a Geodatabase. As a result, this shapefile may have attribution and metadata errors resulting from the conversion process. The following are known issues: null values may have been changed to 0s (zeros) or to blank values, numbers (including latitude and longitude) may have been rounded up or down, there may be issues with Unicode character strings, and time cannot be stored in a date field. Field names may have been truncated to no longer than 10 characters or completely changed, lengthy string attributes may have been truncated to 254 characters, and attribute columns may have been deleted. Shapefiles do not support coded domains and subtypes therefore the original file geodatabase attribution and metadata information for coded domains and subtypes could be incorrect or missing in the shapefile version. Please visit the following ESRI website for more information: caution-http://pro.arcgis.com/en/pro-app/tool-reference/appendices/geoprocessing-considerations-for-Shapefile-output.htm Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.283881-91.595412-88.14429734.99257030.234907MS_FireStations_2008Feature Class1010Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire Departments not having a permanent location are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Fire fighting training academies are also included.TGSFIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeShapeGeometry000Feature geometry.EsriCoordinates defining the features.OBJECTIDOBJECTIDInteger10100IDIDString5000NAMENAMEString25400TELEPHONETELEPHONEString1200ADDRESSADDRESSString8000ADDRESS2ADDRESS2String8000CITYCITYString12000STATESTATEString200ZIPZIPString500ZIPP4ZIPP4String400COUNTYCOUNTYString5000FIPSFIPSString500DIRECTIONSDIRECTIONSString25400EMERGTITLEEMERGTITLEString5000EMERGTELEMERGTELString1500EMERGEXTEMERGEXTString1000CONTDATECONTDATEDate800CONTHOWCONTHOWString1000GEODATEGEODATEDate800GEOHOWGEOHOWString1000HSIPTHEMESHSIPTHEMESString25400NAICSCODENAICSCODEString600NAICSDESCRNAICSDESCRString12000GEOLINKIDGEOLINKIDString1000XXDouble1900YYDouble1900ST_VENDORST_VENDORString1000ST_VERSIONST_VERSIONString1000GEOPRECGEOPRECString3200PHONELOCPHONELOCString300QC_QAQC_QAString300STATE_IDSTATE_IDString5000FDIDFDIDString3200FRST_MBRSFRST_MBRSDouble1900EMS_MBRSEMS_MBRSDouble1900TOTALPERSTOTALPERSDouble1900NUMTRKSNUMTRKSDouble1900NUMABULNUMABULDouble1900TOTAL_VEHITOTAL_VEHIDouble1900NBR_STANBR_STAInteger10100OWNEROWNERString5000LEVEL_LEVEL_String5000TYPETYPEString5000SPECIALTYSPECIALTYString25400EMSLICENSEEMSLICENSEString3200EMERPHONEEMERPHONEString1500EMSEMSString100PERM_IDPERM_IDString4000GNIS_IDGNIS_IDString3200datasetEPSG6.17.1(10.0.0)1010SimpleFALSE1010TRUEFALSE20220531/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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