<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20241017</CreaDate>
        <CreaTime>11591900</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Map</resTitle>
        </idCitation>
        <idAbs>&lt;p&gt;&lt;span style='color:#2f4f4f;'&gt;The&amp;nbsp;&lt;strong&gt;Parks - Enhanced layer&lt;/strong&gt;&amp;nbsp;– first and foremost contains parks rather than separated park units plus some additional attributes because it combines park units where separated into parks. Some of these attributes can be found below. The primary reason for creating the layer is to assist sharing park information with the public that would prefer to see parks as a single feature in the layer rather than broken into units such as Sligo Creek Stream Valley Park compared to Sligo Creek SVU 1A, 2, 3, 4, 5 separately&lt;/span&gt;&lt;span style='color:rgb(47,79,79);'&gt;. It is the same exact parkland represented except it is not broken into separate units.&amp;nbsp;&lt;/span&gt;&lt;span style='color:#2f4f4f;'&gt;&lt;strong&gt;The layer solely contains the existing parks of Montgomery Parks (M-NCPPC) within Montgomery County, Maryland.&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Management Area&lt;/li&gt;&lt;li&gt;Management Region&lt;/li&gt;&lt;li&gt;Congressional Boundaries&lt;/li&gt;&lt;li&gt;Police Beats&lt;/li&gt;&lt;li&gt;Community Equity Index&lt;/li&gt;&lt;li&gt;Regional Service Areas&lt;/li&gt;&lt;li&gt;Agricultural Reserve&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;And many more.&lt;/p&gt;&lt;p&gt;Click &lt;a style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:&amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration:none; text-indent:0px; text-transform:none; word-spacing:0px;' target='_blank' href='https://mncppc.sharepoint.com/:x:/r/sites/MCP-DataAnalytics/Shared%20Documents/Documentation/GIS/Layers/Park%20Units%20-%20Enhanced%20Attributes.xlsx?d=w1afc0f6d1fdb4599a6ea0404849bf374&amp;amp;csf=1&amp;amp;web=1&amp;amp;e=65ao31' rel='nofollow ugc noopener noreferrer'&gt;here&lt;/a&gt;&lt;span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;&lt;span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'&gt;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;for the complete list of attributes.&amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;span style='color:#2f4f4f;'&gt;For information on how this layer was created click&amp;nbsp;&lt;/span&gt;&lt;a target='_blank' href='https://mncppc.sharepoint.com/sites/MCP-DataAnalytics/SitePages/Understanding-Automated-Analyses-for-GIS.aspx?xsdata=MDV8MDJ8fDhjMWFmYzBkMGI1ZjQ5ZTRkMzMwMDhkZDI1ZTdmNGFmfGE5MDYxZTBjMjRjYTRjMWNiZWZmMDM5YmI4YzA1ODE2fDB8MHw2Mzg3MDg0MDAzMjkzMTUxMjB8VW5rbm93bnxWR1ZoYlhOVFpXTjFjbWwwZVZObGNuWnBZMlY4ZXlKV0lqb2lNQzR3TGpBd01EQWlMQ0pRSWpvaVYybHVNeklpTENKQlRpSTZJazkwYUdWeUlpd2lWMVFpT2pFeGZRPT18MXxMMk5vWVhSekx6RTVPbUZoTnprNVlqUmtaVFpsTWpRME16aGlZVGcyT0dNek56TmpZVGxoTTJZNVFIUm9jbVZoWkM1Mk1pOXRaWE56WVdkbGN5OHhOek0xTWpRek1qTXhOekU1fDYyZGIwOWFiYjI5ZjRlZmFkMzMwMDhkZDI1ZTdmNGFmfDk2MjU4ZDNmNmFkMzQyMGRhNjAwZWEzZDI1YWEzMDkw&amp;amp;sdata=MVBOTjZwZ3Q2S3ZaaGl6ZE1OZnA3NUk5UDI1eG0wcEYvU1hDbWJOMjdIdz0%3D&amp;amp;ovuser=a9061e0c-24ca-4c1c-beff-039bb8c05816%2CKeegan.Clifford%40montgomeryparks.org&amp;amp;OR=Teams-HL&amp;amp;CT=1735264675712&amp;amp;clickparams=eyJBcHBOYW1lIjoiVGVhbXMtRGVza3RvcCIsIkFwcFZlcnNpb24iOiI0OS8yNDEyMDEwMDIxMSIsIkhhc0ZlZGVyYXRlZFVzZXIiOmZhbHNlfQ%3D%3D' rel='nofollow ugc noopener noreferrer'&gt;&lt;span style='color:#2f4f4f;'&gt;here&lt;/span&gt;&lt;/a&gt;&lt;span style='color:#2f4f4f;'&gt;.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='color:#2f4f4f;'&gt;&lt;strong&gt;&lt;u&gt;Notes&lt;/u&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;span style='color:#2f4f4f;'&gt;Contact the Data Analytics Section of Montgomery Parks for more information via email:&amp;nbsp;&lt;/span&gt;&lt;a href='mailto:dataanalytics@montgomeryparks.org' target='_blank' rel='nofollow ugc noopener noreferrer'&gt;&lt;span style='color:#2f4f4f;'&gt;dataanalytics@montgomeryparks.org&lt;/span&gt;&lt;/a&gt;&lt;span style='color:#2f4f4f;'&gt;.&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;span style='color:#2f4f4f;'&gt;&lt;strong&gt;&lt;u&gt;Update&amp;nbsp;Cycle&lt;/u&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='color:#2f4f4f;'&gt;Layer is updated every Monday and Thursday morning on an automated basis. The Analytics Team programs the Azure cloud to source data from the data incorporated and ArcGIS Data Pipelines pulls said data back into this layer on an automated basis.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='color:#2f4f4f;'&gt;&lt;strong&gt;&lt;u&gt;Benefits&lt;/u&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;span style='color:#2f4f4f;'&gt;&lt;strong&gt;Foundational for Key Applications&lt;/strong&gt;&amp;nbsp;- The comprehensive Parks layer serves as core data for various mapping applications such as the Parks &amp;amp; Trails Atlas, enhancing public engagement across multiple platforms.&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span style='color:#2f4f4f;'&gt;&lt;strong&gt;Improved Analysis&lt;/strong&gt;&amp;nbsp;– The Parks layer contains numerous valuable attributes for analysis purposes and is the product of many common analyses involving the Parks.&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;</idAbs>
        <idPurp>The existing parks of Montgomery Parks (M-NCPPC) within Montgomery County, Maryland. This does not separate parks into separate units and is primarily for public consumption.</idPurp>
        <idCredit>Data Source: Montgomery County property boundaries for parkland boundaries. The EAM system for EAM sourced data. Data Steward: For existing and pending parkland, the steward is Real Estate Section, the Real Estate Management Assistant and/or the Real Estate Management Supervisor. For proposed parkland, the steward is the Park Planning Section, the Park Planning Supervisor and/or the Parks Planner Coordinator. For EAM sourced data, the EAM system is the source of truth with the Parks Asset Coordinator being the steward.</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;div style='font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;&lt;div style='margin-bottom:3rem;'&gt;&lt;div&gt;&lt;div style='overflow:auto; padding-bottom:0.375rem; max-width:100%; display:inherit;'&gt;&lt;div style='margin-bottom:3rem;'&gt;&lt;div style='overflow:auto; padding-bottom:0.375rem; max-width:100%; display:inherit;'&gt;&lt;div style='margin-bottom:3rem;'&gt;&lt;div style='overflow:auto; padding-bottom:0.375rem; max-width:100%; display:inherit;'&gt;This data is provided “AS IS” without warranty of any kind, either expressed or implied. The Maryland National Capital Park and Planning Commission (M-NCPPC) assumes no responsibility for errors or omissions in this data or other documents which are referenced by or linked to this data. In no event shall M-NCPPC be liable for any special, incidental, indirect, or consequential damages of any kind, or any damages whatsoever, including, without limitation, those resulting from loss of use, data, or profits, whether or not advised of the possibility of damage, and on any theory of liability, arising out of or in connection with the user or performance of this information. This data could contain technical or other inaccuracies or typographical errors. The M-NCPPC may make improvements and/or changes in the product(s) and/or the program(s) described in this publication at any time.&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
            </Consts>
        </resConst>
    <searchKeys><keyword>Parks</keyword><keyword>Parkland</keyword><keyword>Azure</keyword></searchKeys><dataExt><geoEle><GeoBndBox><westBL>-77.48970617879957</westBL><eastBL>-76.90882428818794</eastBL><northBL>39.32011867516885</northBL><southBL>38.93623610774783</southBL></GeoBndBox></geoEle></dataExt></dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
</metadata>