<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20251222</CreaDate>
<CreaTime>11071100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">RecAreaPly</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">390109.049300</westBL>
<eastBL Sync="TRUE">407712.331100</eastBL>
<southBL Sync="TRUE">127540.784800</southBL>
<northBL Sync="TRUE">147195.174000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Maryland_FIPS_1900</projcsn>
<peXml Sync="TRUE">&lt;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/3.1.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Maryland_FIPS_1900&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,400000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-77.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.3],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,39.45],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,37.66666666666666],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26985]]&lt;/WKT&gt;&lt;XOrigin&gt;-36747099.999499999&lt;/XOrigin&gt;&lt;YOrigin&gt;-29091499.999000002&lt;/YOrigin&gt;&lt;XYScale&gt;1000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.002&lt;/XYTolerance&gt;&lt;ZTolerance&gt;2&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;26985&lt;/WKID&gt;&lt;LatestWKID&gt;26985&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20240322</SyncDate>
<SyncTime>23382800</SyncTime>
<ModDate>20240322</ModDate>
<ModTime>23382800</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20240322</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="005"/>
</role>
</distorCont>
<distorOrdPrc>
<ordInstr>DC datasets can be downloaded from "https://opendata.dc.gov".</ordInstr>
</distorOrdPrc>
</distributor>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle>Recreation Areas</resTitle>
<date>
<pubDate>2024-03-22T00:00:00</pubDate>
</date>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<citRespParty>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
<displayName>Office of the Chief Technology Officer</displayName>
</citRespParty>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The perimeter of all public and private sport/recreation courts, including clay, grass, dirt, and paved surfaces are captured. Each court is delineated separately even if adjacent. Pavement around the recreation court is captured as sidewalk, not recreation court. Courts are defined as: Basketball Court: full outline of the court Tennis Court: full outline of the court Baseball Field: infield and outfield of a baseball area as one polygon if easily defined in aerial photo. Otherwise infield as the baseball field. Football Field: full outline of the field as best defined in aerial photo. Soccer Field: full outline of the field as best defined in aerial photo. Track: outline of track. Any recreation fields within tracks are captured and coded separately. Other Recreation Area: For areas that cannot be easily defined by function, they are captured as other recreation area, with full outline of the field as best defined in aerial photo.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>This dataset contains polygons representing planimetric recreation areas, created as part of the DC Geographic Information System (DC GIS) for the Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017, 2019, 2021 and 2023.</idPurp>
<idCredit>Office of the Chief of Technology Officer</idCredit>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<idPoC>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<placeKeys>
<keyword>District of Columbia</keyword>
<keyword>Washington DC</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Categories</resTitle>
</thesaName>
<keyword>society</keyword>
<keyword>imageryBaseMapsEarthCover</keyword>
</themeKeys>
<searchKeys>
<keyword>baseball field</keyword>
<keyword>basketball</keyword>
<keyword>District of Columbia</keyword>
<keyword>fields</keyword>
<keyword>fitness</keyword>
<keyword>OCTO</keyword>
<keyword>outdoor</keyword>
<keyword>recreation area</keyword>
<keyword>soccer field</keyword>
<keyword>sports</keyword>
<keyword>tennis court</keyword>
<keyword>Washington DC</keyword>
<keyword>dc</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This work is licensed under a &lt;/SPAN&gt;&lt;A href="https://creativecommons.org/licenses/by/4.0/" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Creative Commons Attribution 4.0 International License&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<resConst>
<LegConsts>
<useLimit>See access and use constraints information.</useLimit>
</LegConsts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<envirDesc>Esri ArcGIS 13.0.3.36057</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<exTypeCode>true</exTypeCode>
<westBL>-77.13</westBL>
<eastBL>-76.90</eastBL>
<northBL>39.01</northBL>
<southBL>38.78</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<exDesc>ground condition</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2021-03-31T00:00:00</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-77.114173</westBL>
<eastBL Sync="TRUE">-76.910975</eastBL>
<northBL Sync="TRUE">38.992694</northBL>
<southBL Sync="TRUE">38.815585</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<tpCat>
<TopicCatCd value="010"/>
</tpCat>
<tpCat>
<TopicCatCd value="016"/>
</tpCat>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="" type="DQConcConsis">
<measDesc>This report describes data originally captured in 2015. OCTO developed and operated a QA/QC program to check the deliverables. Generally, the program consists of various types of processes grouped into visual checks, automated procedures, edge-matching routines, specialized checks, and field verification. Through the application of these processes, the data's spatial and attribute accuracy, usability, data documentation adherence, and specialized characteristics are checked. Staff identified issues in a shapefile with appropriate descriptions for the vendor to fix. The data was delivered in preliminary format for a thorough review and identification of issues. The vendor fixed the data and delivered final data which OCTO checked to ensure the vendor made the fixes appropriately.</measDesc>
</report>
<report dimension="" type="DQCompOm">
<measDesc>The perimeter of all public and private sport/recreation courts, including clay, grass, dirt and paved surfaces will be captured. Each court will be delineated separately even if adjacent. Pavement around the recreation court should be captured as sidewalk, not recreation court. Courts will be defined as:
Basketball Court: Capture full outline of the court Tennis Court: Capture full outline of the court
Baseball Field: Capture infield and outfield of a baseball area as one polygon if easily defined in aerial photo. Otherwise capture infield as the baseball field.
Football Field: Capture full outline of the field as best defined in aerial photo
Soccer Field: Capture full outline of the field as best defined in aerial photo
Track: Capture outline of track. Any recreation fields within tracks will be captured and coded separately.
Other Recreation Area: For areas that cannot be easily defined by function, capture as other recreation area. Capture full outline of the field as best defined in aerial photo.</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>This process describes 2017 updates to planimetric data originally captured in 2015.
The planimetric dataset provided by DC OCTO on 5/22/2017 was used as the base dataset for update by Fugro. Following the Aerotriangulation of the imagery, stereo images were generated for the planimetric compilation to allow for full view of features that could be obscured by building lean in a 2D environment. Relative and absolute orientation for the stereo images will be achieved by importing the orientation parameters from the AT results.
The planimetrics were collected using MicroStation and KLT Atlas software packages and combined for final QC in ArcGIS in the final geodatabase format. Prior to the initiation of compilation, a data capture matrix was established based on the data dictionary and compilation guidelines provided by DC OCTO. Requirements for the 2017 planimetric collect included the addition of a feature class for features associated with airports called AirPly, crosswalks as a new feature to the sidewalk layer, and a complete recollection of data in areas around the White House and Capitol that was compiled in 2013 but not captured in the 2015 collect. Topology checks were run using the OCTO provided rule set. When running topology, flags were identified on the existing 2015 dataset and this topology check was submitted with the updated 2017 collect. Additionally, the inclusion of crosswalks in the sidewalk feature class has created flags in the topology due to overlapping with roads. A separate geodatabase was generated to run the topology check (DC_Planimetrics2017_TopologyChks.gdb) and temporary sets of all feature classes with deleted data were generated. The deleted data was removed in the temporary feature classes to reduce the number of false errors that had to be reviewed. Due to the large number of exceptions in the 2015 data for curbs that were not covered by roads, the 2015 exceptions were identified and excluded from the current review. This working topology dataset was used as a guide to make corrections to the final deliverable dataset (DC_Planimetrics2017.gdb). Both the working topology geodatabase and the final deliverable geodatabase were submitted to DC.</stepDesc>
<stepProc>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<country>US</country>
<eMailAdd>metadata@earthdata.com</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>All planimetric data within the scope of the 2015 project was newly collected by Sanborn using DAT/EM Summit Evolution digital photogrammetric workstations, with the exception of StreetCenterlineLn_2015 (street centerlines) and GeoControlPt_2015 (ground control.) The photogrammetric supervisor established the data collection conventions to be used for data capture, including the data schema, global origin and working units to be used for data collection. The vendor assigned collection areas to stereo-compilation technicians based on OCTO’s orthophoto tile layout. They collected and saved planimetric data to the designated network subdirectory.
After the data for the tile was collected, the technician visually reviewed the planimetric information for completeness and accuracy. The data was then passed on to GIS staff.
GIS staff performed a preliminary review of the planimetric data. Omissions or errors that were found were communicated to stereo-compilation staff, who then updated the corresponding stereo-compilation file. The corrected data was then passed on to GIS staff.
GIS staff then merged all data per delivery block. Polyline features that were required by OCTO not to have pseudo nodes were dissolved. Following the dissolve, all point and polyline features were appended to a template geodatabase in their respective feature classes and attributed as defined in OCTO’s Data Dictionary.
Polylines that participated in building polygons were placed into a working dataset, and topology built to locate gaps in the lines where polygons would not properly build. A technician closed those gaps. Then, polygons were built from these polylines in a working feature class. Based on centroids collected during the stereo-compilation process, polygons were then assigned their appropriate feature code based on OCTO’s Data Dictionary. Once all polygons were assigned their feature codes based on their corresponding centroid codes, the polygons remaining were then checked against the 2015 orthophoto imagery. Any unclassified polygons that were erroneously not given a feature code (because the stereo-compiler omitted a centroid that was not caught in a previous review) were then coded with the proper feature code. Also, at this point an additional review for proper code was performed, and incorrect codes changed to correct codes. Then, all remaining un-coded polygons were removed from the working polygon feature class.
Polygons for each feature class were selected from the working feature class and appended to their appropriate feature classes based on OCTO’s Data Dictionary specifications.
Once all features were put into their proper location in the geodatabase and attribution populated, a topology was established to locate geometry errors. GIS technicians corrected errors then removed the topology from the geodatabase. The geodatabase was then compacted.
There are two isolated pockets of data that were not collected by Sanborn in the 2015 project, which are located around the White House and Capitol. Much of these two pockets have no 2015 stereo-photo coverage because the flying height required to collect imagery suitable for 3” pixel resolution orthophotos was too low relative to the no-fly zones over these areas. To avoid splitting a large number of planimetric features between differing imagery dates, the stereo-imagery voids were generally expanded to the center of the closest street (coincident with street centerlines where possible) to produce the final void areas. Inside these voids in the 2015 data, OCTO’s existing planimetrics (updated in 2013) were appended to the 2015 data for all feature classes except BarrierLn and CurbLn.</stepDesc>
<stepDateTm>2016-03-28</stepDateTm>
<stepProc>
<rpOrgName>EarthData International, Inc</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<country>US</country>
<eMailAdd>metadata@earthdata.com</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>2019 Planimetric Data Capture Update
Original data was captured in 2015 and updated in 2017 and 2019. Digital planimetric mapping was collected in strict accordance with the feature types and formats specified in the RFP. The planimetric information was collected using SSK and KLT Atlas workstations. Quality control (QC) and editing tasks were performed in the MicroStation environment with a final review in ArcGIS. Production workflow was designed specifically to maintain the 3D elements and topology of the planimetric mapping once data is migrated to the ESRI personal geodatabase environment keeping the needed attribute information. Draping was done on the data to view in stereo. Topology checks were run using the OCTO provided rule set.</stepDesc>
<stepDateTm>2019-04-23</stepDateTm>
<stepProc>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<country>US</country>
<eMailAdd>metadata@earthdata.com</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>2021 Planimetric Data Capture Update
The planimetric dataset provided by DC OCTO on 6/15/2021 was used as the base dataset for update by Fugro. Following the Aerotriangulation of the imagery, stereo images were generated for the planimetric compilation to allow for full view of features that could be obscured by building lean in a 2D environment. Relative and absolute orientation for the stereo images will be achieved by importing the orientation parameters from the AT results.
The planimetrics were collected using MicroStation and KLT Atlas software packages and combined for final QC in ArcGIS in the final geodatabase format. Prior to the initiation of compilation, a data capture matrix was established based on the data dictionary and compilation guidelines provided by DC OCTO.
Topology checks were run using the OCTO provided rule set. When running topology, flags were identified on the existing 2019 dataset and this topology check was submitted with the updated 2021 collect.</stepDesc>
<stepDateTm>2021-03-11</stepDateTm>
<stepProc>
<rpIndName>Fugro Geospatial. Inc.</rpIndName>
<rpCntInfo>
<cntPhone>
<voiceNum>(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21794</postCode>
<country>US</country>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>Digital planimetric mapping was collected in strict accordance with the feature types and formats specified in the RFP. Fugro captured planimetric information using SSK and KLT Atlas workstations. Quality control (QC) and editing tasks are performed in the MicroStation environment with a final review in ArcGIS. Fugro has a proven production workflow that was designed specifically to maintain the 3D elements and topology of the planimetric mapping once data is migrated to the ESRI personal geodatabase environment keeping the needed attribute information. Draping was done on the data to view in stereo, the data was delivered in 2D. Features updated are AIRPLY, BARRIERLN, BLDGPLY, BRGTUNPLY, CURBLN, GEOCONTROLPT, GRATEPT, HYDROLN, OBSAREAPLY, RAILRDLN, RECAREAPLY, ROADPLY, SIDEWALKPLY, ROADWAYCENTERLINELN, SWMPOOLPLY, and WATERPLY. This data went through a pilot and final QA/QC protocol which ensured that the topology was checked and amended if necessary.</stepDesc>
<stepDateTm>2023-03-31T00:00:00</stepDateTm>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="RecAreaPly">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="RecAreaPly">
<enttyp>
<enttypl>DCGIS.RecAreaPly</enttypl>
<enttypd>Recreation area features.</enttypd>
<enttypds>OCTO</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>GIS_ID</attrlabl>
<attrdef>OCTO GIS sequential identifier.</attrdef>
<attrdefs>OCTO</attrdefs>
<attalias Sync="TRUE">GIS Identifier</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>FEATURECODE</attrlabl>
<attrdef>Feature code.</attrdef>
<attrdefs>OCTO</attrdefs>
<attrdomv>
<edom>
<edomv>3110</edomv>
<edomvd>BASKETBALL COURT</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3120</edomv>
<edomvd>TENNIS COURT</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3130</edomv>
<edomvd>BASEBALL FIELD</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3140</edomv>
<edomvd>FOOTBALL FIELD</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3150</edomv>
<edomvd>SOCCER FIELD</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3160</edomv>
<edomvd>TRACK</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3170</edomv>
<edomvd>OTHER RECREATIONAL AREA</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3180</edomv>
<edomvd>OTHER RECRECREATION COURT</edomvd>
<edomvds>OCTO</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">Feature Code</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">5</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DESCRIPTION</attrlabl>
<attrdef>Description of feature code.</attrdef>
<attrdefs>OCTO</attrdefs>
<attalias Sync="TRUE">Description</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CAPTUREYEAR</attrlabl>
<attrdef>Capture date.</attrdef>
<attrdefs>OCTO</attrdefs>
<attalias Sync="TRUE">Capture Year</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CAPTUREACTION</attrlabl>
<attrdef>Type of edit performed on the feature.</attrdef>
<attrdefs>OCTO</attrdefs>
<attrdomv>
<edom>
<edomv>A</edomv>
<edomvd>Add</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>D</edomv>
<edomvd>Delete</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>E</edomv>
<edomvd>Existing</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>U</edomv>
<edomvd>Update</edomvd>
<edomvds>OCTO</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">Capture Action</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SE_ANNO_CAD_DATA</attrlabl>
<attalias Sync="TRUE">SE_ANNO_CAD_DATA</attalias>
<attrtype Sync="TRUE">Blob</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.AREA</attrlabl>
<attalias Sync="TRUE">SHAPE.AREA</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.LEN</attrlabl>
<attalias Sync="TRUE">SHAPE.LEN</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26985"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="RecAreaPly">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
