<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<SyncDate>20221006</SyncDate>
<SyncTime>10033100</SyncTime>
<ModDate>20221006</ModDate>
<ModTime>12183800</ModTime>
<CreaDate>20100125</CreaDate>
<CreaTime>09100000</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<PublishStatus>Published</PublishStatus>
<MetaID>{41B3D3CE-6FBC-4C5D-807A-18D90ED2C28B}</MetaID>
<ArcGISProfile>FGDC</ArcGISProfile>
<ArcGISFormat>1.0</ArcGISFormat>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">BuildingRestrictionLN</itemName>
<nativeExtBox>
<westBL Sync="TRUE">390113.988004</westBL>
<eastBL Sync="TRUE">407622.584004</eastBL>
<southBL Sync="TRUE">128081.230008</southBL>
<northBL Sync="TRUE">147505.670008</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</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/3.0.0'&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;-36747099.999995701&lt;/XOrigin&gt;&lt;YOrigin&gt;-29091499.9999924&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;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;2&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>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<editorSource>external</editorSource>
<editorDigest>3cf56e1fc8cc8205cbc5981374be7a2dd7af6e10</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE</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>
<displayName>GIS Data Coordinator</displayName>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20221006</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<dataIdInfo>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;These are lines beyond which property owners or others have no legal or vested rights to extend a building or any part thereof without approval of the proper authorities; ordinarily a line of demarcation between public and private property, but also applied to a building restriction line, when recorded in the records of the Surveyor.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Department of Buildings</idCredit>
<idStatus>
<ProgCd value="007"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="003"/>
</maintFreq>
</resMaint>
<themeKeys>
<keyword>Property</keyword>
<keyword>Land</keyword>
<keyword>Lot</keyword>
<keyword>planningCadastre</keyword>
<keyword>Square</keyword>
</themeKeys>
<searchKeys>
<keyword>DC</keyword>
<keyword>District of Columbia</keyword>
<keyword>Land</keyword>
<keyword>Lot</keyword>
<keyword>planning cadastre</keyword>
<keyword>Property</keyword>
<keyword>Square</keyword>
<keyword>vpmdata</keyword>
<keyword>Washington DC</keyword>
<keyword>DOB</keyword>
<keyword>building restriction</keyword>
<keyword>building</keyword>
</searchKeys>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<suppInfo>The Vector Property data was developed with the oversight of the Office of the Chief Technology Officer (OCTO) - DC GIS, Department of Buildings (DOB) - Office of the Surveyor (OS), and Office of Tax and Revenue (OTR) - Real Property Tax Administration (RPTA). This effort was undertaken with 2 primary goals: - Support and improve the daily business processes of the two DC agencies that originate and manage land record in the District of Columbia. - Provide important GIS base layers which will be used extensively by many DC government agencies and private companies. Below are the responsibilities which DC agencies have provided throughout the Vector Property data creation and maintenance application lifecycle. Office of the Surveyor- subject matter expertise, provides access and understanding of source documents, extensive resource support, and assists with Vector Property GDB and Maintenance requirements. RPTA- subject matter expertise, provides access and understanding of source documents, extensive resource and IT support, and assists with Vector Property GDB and Maintenance requirements. OCTO- Assists with Geodatabase and Maintenance requirements, QC and Program Management staffing. Vector Property database and Citrix Support. Project oversight. Air Rights (AirRightsLotsPT, AirRightsLotsLN, AirRightsLotsPLY) - Air right lots are established by RPTA to reflect a party’s right to construct an improvement above an existing area of land that is not owned by the constructor. They are a type of development right in real estate referring to the empty space about a property. These tax lot numbers start at 7000. There are approximately 704 air rights lots. Air rights are taxed in DC.
Condo Approval Lots - Condo lots are individual lots for each condominium. The lot numbers normally range from 2000-6999. These condo lots are not geographically defined other than being within a air rights, record, tax or a combination of lots that has one or more condo buildings within it. A condo regime number is assigned to each residential Condo application or Article of Confederation regardless of how many buildings there are at any one site. The Regime number starts with a 1, 2, or 3 depending upon where the condo is located and where they fall in the tri-annual assessment process of RPTA. All numbers after the first are consecutive. RPTA maintains the master list of Regime numbers for residential properties. Commercial condos are not associated with a Regime number and in order to properly track all condos, a unique Regime number was created. RPTA then establishes individual accounts for each condominium unit and assigns a condo lot number to that account. RPTA maintains the master list of Regime numbers and their relationship to approved condos. There are roughly 66571 condo lots and there associations are as follows: 49486 condos were approved for record lots, 16867 were approved for tax lots, 2817 were approved for air rights lots, and 2600 were approved for both air rights and tax lots. The CondoPly layer was created to assist users in visualizing the relationship between ground surface lots (Record Lots), overlay lots (Air Rights &amp; Tax Lots), and the associated Condos. When Condos are approved for ground lots, those lots remain in the production (active) layer and attributes updated to reflect the new condos. When Condos are approved for overlay lots, those lots are killed (dead lots) and archived to their respective history layer. Condo dwellings can also be queried city-wide via the individual VPM layers (active Record lots, dead Air Rights &amp; Tax lots) where the value in the “UNDERLIES_CONDO” field is equal to 1.
Parcel Lots (ParcelsLotsPT, ParcelsLotsLN, ParcelsLotsPLY) - There is still land within the District of Columbia that has never been subdivided into either Record or Tax Lots through the two offices that manage land records (OS &amp; RPTA), this land is referred to as Parcels, expressed as fractions (Ex Parcel 117/36). In this example, the number “36” would be the 36th out conveyance from original Parcel 117. The tracking of parcels was started in 1905 when, by Act of Congress, all the District’s unsubdivided properties which were mostly rural farms at the time were given parcel numbers. Their boundaries were also depicted (in many cases approximated), in large books in DOB's Office of the Surveyor. Until the late 1960s, building permits were routinely issued by the city for new construction on Parcels, but today all Parcels, like Tax Lots, must be converted into subdivision Lots of Record before permits will be issued for exterior work. Parcels are only found in the old “County of Washington,” north of Florida Ave and east of the Anacostia River. There are no Parcels found within the original city limits or Georgetown. Parcels are not in Squares. There are examples where parcel land may be physically located in the middle of a city Square, but Parcels are not considered part of a Square until they are duly subdivided by the D.C. Surveyor’s Office.
Record Lots - Record lots are defined by the Department of Buildings (DOB) – Office of the Surveyor (OS) - DC Surveyor. They are official, platted, recorded subdivision lots created by the D.C Surveyor’s Office in compliance with the Subdivision Ordinance of the District of Columbia (must have public street frontage, etc.). Typically, these lots are numbered 1 through 799 with no number being used more than once in a Square. Exceptions to this rule:
• When the 1-799 range has been exhausted within a square, the Surveyor’s Office assigns numbers from 1200 or may even use 8000 and above
• For reasons unknown, 42 Squares have record lot numbers greater than 799 but less than 1200 Additionally, in most case scenarios, a piece of property must be a Record Lot before a building permit will be issued for that site in the District of Columbia, and all proposed Record Lots are carefully reviewed by Zoning Administration officials for compliance with the city’s Zoning Ordinances. Other agencies that review new record lots besides OS are Office of Zoning, Office of Planning, the Dept. of Public Works, Historic Preservation, and DDOT.
Record lots are defined only when requested by property owners, normally when they are seeking a building permit. Record lots are recorded in Plat Books and Subdivision Books in the Office of the Surveyor. These documents are bound volumes of historical representations of the locations of property lines, and they include record dimensions, though typically no bearings of lines. These lots are located within squares, which usually correspond to one or two city blocks. Certain record lots can also be classified as “of-lots”. An "Of-Lot" is the D.C. Surveyor’s Office term for describing “Remaining/Part of Original Lot X”
In the record lot feature class, if a domain value of 1 resides in the “OF_LOT” field, you can assume that at one time the original lot was modified. Typically, any of these of-lots will also have a tax lot overlaying them since it is a piece or remainder of a Record Lot.
Tax Lots (TaxLotsPT, TaxLotsLN, TaxLotsPLY) - RPTA defines assessment and taxation lots, often referred to as A&amp;T lots or simply tax lots. These lots are strictly for real estate taxation purposes and normally defined under two circumstances: • When property owners ask for their real property tax bills to be consolidated, after they have bought several contiguous record lots; this is called a combine;
• When part of a record lot is sold, but no new record lot is yet defined; this is called a split request. Tax lots are not determined by survey, and are therefore not official lots in the same way record lots are. These lots are normally numbered between 800 and 1999 within a square to differentiate them from record lots on the property tax maps. When a tax lot is established by RPTA, an A&amp;T Plat is generated by RPTA and forwarded to the surveyor’s office. These A&amp;T Plats are not reviewed but simply filed by the Surveyor; they do not comply with the standards required of subdivision plats, and are not recorded. Tax Lots are not normally acceptable when applying for building permits and must be converted to Record Lots through the normal subdivision process involving the D.C. Surveyor’s Office before permits will be issued. The only exception is if the lot does not face a public street. Furthermore, at the time of their creation and platting, there is no review made of tax lots for compliance with D.C. Zoning, Subdivisions or any other ordinances. These lots are simply pieces of property, owned by somebody, described in deeds, for which tax bills are sent and real estate taxes are collected by the city. Some Record Lots also function in this capacity. Geographically, tax lots typically overlay layers such as record lots or sometimes reservations. There are known instances where tax lots do not overlay these types of layers. Up until approximately 1972, A&amp;T lots were only created by the Tax Assessor out of lands that had been previously Record Lots at some point in their history. For a short period of time in the early to mid 1970s, a decision was made to start eliminating fractional parcels (see definition below) and make them all into A&amp;T lots. The intent was to do away with Parcels altogether and have all properties in the city be either tax lots or record lots. By doing this, they converted unsubdivided parcels into A&amp;T lots where no underlying record lot exists. There is often little or no historical source information about these types of transactions therefore vectorizing them often required vast amounts of research.
Reservations - U.S. Reservations are lands acquired for use by the Federal Government after the original founding of the city. These were all acquired by the Federal Government through purchase, condemnation, dedication, or gift and almost all of the U.S. Reservations in Washington are under the Jurisdiction of the National Park Service. Unlike Appropriations, U.S. Reservations are found throughout the city. The National Park Service also has information for every U.S. Reservation and Appropriation in addition to DOB Office of the Surveyor having some detailed information on transactional history. It should be noted that RPTA has converted some reservations to tax lots for land tracking purposes however the federal government still maintains ownership in many of these cases.
Squares (SquaresPT, SquaresLN, SquaresPLY) - Squares are calculated by the outer extents of the record or tax lots within a defined area (typically a city block). There are roughly 4896 active squares. A Square is similar to a city block. Squares were numbered starting at 1 and are currently in the 6000 series. Not all squares are active. A common cause of squares becoming inactive has been through street closing and combining squares. When the squares are combined usually the lower square number is killed and the higher square number is used for the combined square. For example if squares 1 and 2 are combined, square 1 is killed and the combination becomes square 2.
Spatial Location of Squares
Each Square is an Island, alone unto itself. There is not now, and has never been, any citywide Survey Coordinate System in D.C. Most squares are unrelated to other Squares by “Measured.” They are related by Record. Street width is approximate. You cannot rely on the published official street widths to set up property lines or determine right-of-way. There is digital scan information available from DDOT regarding Right-of-Way. Some Squares are divided by streets. That is, the same Square continues on the other side of the street. Since there is no citywide Survey Coordinate System, squares were placed in their approximate location. This process is known as “best fit”.
Appropriations - U.S Appropriations are lands set aside at the time of the original founding and platting of the city for use by the U.S. Federal Government. The White House, for instance, Treasury Building, Ellipse, and Lafayette Square all sit on Appropriation No. 1. D.C General Hospital is on Appropriation No.13 (with the consent of the Federal Government). Appropriations are often confused with U.S Reservations but the two terms are not interchangeable. There are 17 U.S Appropriations in Washington, D.C., all of which are located within the limits of the Original City and, by definition; there can never be any more.
OwnerPly - Is a single polygon feature class that is built from various polygon feature classes of the Vector Property Mapping Program. The purpose of the layer is to represent all lands that are outside right-of-way. The Office of Tax and Revenue maintains a database known as Information Tax System (ITS) that contains the accounts for the real property taxes. ITS records reference record lots, tax lots, parcels, condominiums and federally owned lands such as reservations. Information from ITS is conflated to OwnerPly features by SSL (Square, Suffix and Lot). This ownership layer has a point for all properties including condominiums and un-taxed federal properties with selected tax assessment information attached as attributes. NOTE: the OwnerPly does not include condo records. These can be found in condo relate tables. This layer is regenerated WEEKLY with an automated algorithm using the latest Pubic Extract information for attribution. In March and September, the ITS Public Extract file is frozen for 4-5 weeks for processing during billing periods.
AlleyLns (AlleyLN, AlleyPLY) - Alley widths/ street frontages were captured during the vector property effort and reside in their own feature class. 99% of the time, these features should be coincident with the square boundary. The exceptions to this are internal alleys that might be overlaid by a tax lot. They were captured largely to enable continuity within each square. Alley Polygon does not exist. They could be created with this data by using an automated routine which searches linear feature of the Record, Tax and Parcel Lots feature classes where Line_Classification = 3, 4 and 6, then turning these selected lines into polys, another method would be clipping a square boundary with the tax and record lots.
Building Restriction Lns - These are lines beyond which property owners or others have no legal or vested rights to extend a building or any part thereof without approval of the proper authorities; ordinarily a line of demarcation between public and private property, but also applied to a building restriction line, when recorded in the records of the Surveyor.
Highway Planning Lns - There are lines that occurred on the city’s 1901-1905 set of master plans for all proposed roads. If a highway planning line crosses a particular property, that land cannot become a Record Lot by subdivision, even if the proposed street is no longer needed or will never be built. However there is a procedure through which a proposed road can be removed from the Highway Plan freeing up affected land for subdivision or development.
Public Easement Lns (PublicEasementsLN) - These are not to be confused with utility or private easements. They are often placed after an alley closing for traffic or access.</suppInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.0.2.36056</envirDesc>
<idCitation>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<resTitle>Building Restriction Lines</resTitle>
<date>
<reviseDate>2026-04-04T11:31:55</reviseDate>
<pubDate>2005-01-01T00:00:00</pubDate>
</date>
<citRespParty>
<rpOrgName>Department of Buildings</rpOrgName>
<rpPosName>Chief Building Official</rpPosName>
<displayName>&lt;FULL AGENCY NAME WITHOUT ACRONYM&gt;</displayName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-77.114121</westBL>
<eastBL Sync="TRUE">-76.912008</eastBL>
<northBL Sync="TRUE">38.995491</northBL>
<southBL Sync="TRUE">38.820454</southBL>
</GeoBndBox>
</geoEle>
<exDesc>Washington DC</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2005-01-01T00:00:00</tmBegin>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<idPurp>This data is used for the planning and management of Washington, D.C. by local government agencies.</idPurp>
<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:443/licenses/by/4.0/" target="_blank" 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>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idPoC>
<rpOrgName>Department of Buildings</rpOrgName>
<rpPosName>Chief Building Official</rpPosName>
<displayName>&lt;FULL AGENCY NAME WITHOUT ACRONYM&gt;</displayName>
<role>
<RoleCd value="006"/>
</role>
</idPoC>
<idPoC>
<editorSource>external</editorSource>
<editorDigest>3cf56e1fc8cc8205cbc5981374be7a2dd7af6e10</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE</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>
<displayName>GIS Data Coordinator</displayName>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintNote>Last metadata review date: 09/21/2022</maintNote>
</mdMaint>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<dataLineage>
<prcStep>
<stepDesc>-Corrections to some data anomalies -Approx. 283 of the 800 maintenance transactions completed to bring data current. This equates to the retiring of 614 tax and record lots (these are in the history feature classes) and the creation of 364 new tax and record lots. - 49 new Parcels -Updated Maintenance transaction table</stepDesc>
<stepProc>
<rpIndName>GIS Data Coordinator</rpIndName>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>202-727-5660</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20001</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30am - 5:30pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>1.) Scan all index cards in the Office of the Surveyor The index cards show lot history and indicate which subdivision (Book and Page) or Assessment and Taxation (A&amp;T) plat the lot was recorded. 2.) Digitally image all source material. Plats that were needed and necessary to construct active lots (Subdivisions, A&amp;T etc) were digitally imaged and indexed for easy retrieval. 3.) Build "Comp Sheet" of each square. Comp sheets are a paper representation of each square with lots and dimensional information, lot number, and other specifications. Since each square contains multiple source documents, comp sheets allow staff to see the sqaure as one, pasted together map. This expedited the COGO stage. 4.) COGO Lots. Using customized COGO application, build linear features for each square that maintain much of the attribution seen on the plats. 5.) Post Process the data Customized process to dissolve on duplicate lines, build poly's and point, attach attribution, topology, and other attributes.</stepDesc>
<stepProc>
<rpOrgName>D.C. Office of the Chief Technology Officer</rpOrgName>
<role>
<RoleCd value="009"/>
</role>
<rpIndName>GIS Data Coordinator</rpIndName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</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>
<displayName>GIS Data Coordinator</displayName>
</stepProc>
</prcStep>
<dataSource type="">
<srcDesc>location</srcDesc>
<srcMedName>
<MedNameCd value="018"/>
</srcMedName>
<srcCitatn>
<resTitle>Assessment and Taxation plats</resTitle>
<resAltTitle>Assessment and Taxation plats</resAltTitle>
<date>
<pubDate>2006-01-01</pubDate>
</date>
<citRespParty>
<rpOrgName>Office of the Chief Financial Officer - Real Property Tax Administration</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="006"/>
</presForm>
<presForm>
<fgdcGeoform>map</fgdcGeoform>
</presForm>
<citOnlineRes>
<linkage>http://ocfo.dc.gov</linkage>
</citOnlineRes>
</srcCitatn>
</dataSource>
<dataSource type="">
<srcDesc>location</srcDesc>
<srcMedName>
<MedNameCd value="018"/>
</srcMedName>
<srcCitatn>
<resTitle>subdivision map</resTitle>
<resAltTitle>subdivision maps</resAltTitle>
<date>
<pubDate>2006-01-01</pubDate>
</date>
<citRespParty>
<rpOrgName>Department of Consumer and Regulatory Affairs - Office of Surveyor</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="006"/>
</presForm>
<presForm>
<fgdcGeoform>map</fgdcGeoform>
</presForm>
<citOnlineRes>
<linkage>http://dcra.dc.gov</linkage>
</citOnlineRes>
</srcCitatn>
</dataSource>
<prcStep>
<stepDesc>- Appropriations: 10 of the 17 have been captured - Parcels: 81 new parcels. - Air Rights Lots: several additional lots retired and captured - Hundreds of new and retired record and tax lots (retired lots located in history layers) - Improved best fits around Grant Circle, parkland and railroads.</stepDesc>
<stepDateTm>2007-08-31</stepDateTm>
<stepProc>
<rpIndName>GIS Data Coordinator</rpIndName>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>202-727-5660</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20001</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30am - 5:30pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="BuildingRestrictionLN">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">70717</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<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>
<eainfo>
<detailed Name="BuildingRestrictionLN">
<attr>
<attrlabl Sync="TRUE">RECORDATION_DT</attrlabl>
<attalias Sync="FALSE">Recordation Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Recordation_DT is the date when a feature class were legally recorded. If the affected feature class is never recorded, this value should match the creation date. The initial vectorization has the same creation date and recordation date of roll out for all feature classes. Recordation date is meaningless for the feature classes that do not have a history such as all point features.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">NARRATIVE</attrlabl>
<attalias Sync="FALSE">Narrative</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">200</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This attribute stores general comments about the feature.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">EXPIRATION_DT</attrlabl>
<attalias Sync="FALSE">Expiration Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lot Expiration Date</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">STATUS</attrlabl>
<attalias Sync="FALSE">Status</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The status value is always set to 1 which is the only value in the STATUS_CURRENT coded value domain. The value of this attribute is constant for a class. It denotes whether the information is considered current or historical. This attribute is primarily used by applications.</attrdef>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>Feature is part of active layer</edomvd>
</edom>
</attrdomv>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SQUARE</attrlabl>
<attalias Sync="FALSE">Square</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Square value from the SSL identifier.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SUFFIX</attrlabl>
<attalias Sync="FALSE">Suffix</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Suffix value from the SSL identifier.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<enttyp>
<enttypl Sync="FALSE">BuildingRestrictionLN</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">70717</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<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>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">CREATION_DT</attrlabl>
<attalias Sync="FALSE">Creation Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Timestamp for when the record was created (posted to the database). The initial vectorization has the same creation date and recordation date of roll out for all feature classes.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attrdef>Feature geometry</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="FALSE">Shape</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">KILL_DT</attrlabl>
<attalias Sync="FALSE">Kill Date</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Lot Date Killed</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">OFFSET</attrlabl>
<attalias Sync="FALSE">Offset</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lot Offset</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.LEN</attrlabl>
<attalias Sync="FALSE">SHAPE.LEN</attalias>
<attrtype Sync="TRUE">Blob</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Feature geometry</attrdef>
<attrdefs>Esri</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LOT</attrlabl>
<attalias Sync="FALSE">Lot</attalias>
<attrtype Sync="TRUE">Blob</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lot number</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
</detailed>
</eainfo>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="BuildingRestrictionLN">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="3"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">70717</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
