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    <title>topic Why do ArcGIS Reader/Desktop not function properly with Geopackage? in ArcReader Questions</title>
    <link>https://community.esri.com/t5/arcreader-questions/why-do-arcgis-reader-desktop-not-function-properly/m-p/534876#M648</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have noticed an interesting behavior with ArcMap Desktop 10.7.1 as well as ArcReader 10.7.1 when it comes to vector features stored in an OGC Geopackage database.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The data can be displayed, symbolized, filtered, attribute table explored, and otherwise interacted with fairly normally.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;However, two critical limitations are this:&lt;/P&gt;&lt;P&gt;1) The Identify Tool can not query these layers (in the screenshot below, only returning RGB values from a raster)&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;2) The Find Tool can not query these layers.&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;This exact same MXD loaded into ArcGIS Pro 2.4 does not present with these issues.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;1) Explore tool can return the values properly/as expected&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;2) When the layer is configured as a Locate Provider, it returns values properly/as expected&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'm wondering if anyone else has experienced this, or if anyone else has any direction on this issue. I find it a bit strange to be seeing this behavior considering that OGC Geopackage has been supported in ArcGIS Desktop since 2014 (10.2.x), and ESRI was a member of the steering committee that helped draft the OGC Geopackage standard.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;As this behavior currently stands, I can not store vector features in an OGC Geopackage and hope to have users with ArcGIS Desktop/Reader interact with these data successfully.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 10 Dec 2019 20:24:46 GMT</pubDate>
    <dc:creator>BrettCarlock</dc:creator>
    <dc:date>2019-12-10T20:24:46Z</dc:date>
    <item>
      <title>Why do ArcGIS Reader/Desktop not function properly with Geopackage?</title>
      <link>https://community.esri.com/t5/arcreader-questions/why-do-arcgis-reader-desktop-not-function-properly/m-p/534876#M648</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have noticed an interesting behavior with ArcMap Desktop 10.7.1 as well as ArcReader 10.7.1 when it comes to vector features stored in an OGC Geopackage database.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The data can be displayed, symbolized, filtered, attribute table explored, and otherwise interacted with fairly normally.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;However, two critical limitations are this:&lt;/P&gt;&lt;P&gt;1) The Identify Tool can not query these layers (in the screenshot below, only returning RGB values from a raster)&lt;/P&gt;&lt;P&gt;&lt;IMG src="data:image/png;base64,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" /&gt;&lt;/P&gt;&lt;P&gt;2) The Find Tool can not query these layers.&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;This exact same MXD loaded into ArcGIS Pro 2.4 does not present with these issues.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;1) Explore tool can return the values properly/as expected&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;2) When the layer is configured as a Locate Provider, it returns values properly/as expected&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'm wondering if anyone else has experienced this, or if anyone else has any direction on this issue. I find it a bit strange to be seeing this behavior considering that OGC Geopackage has been supported in ArcGIS Desktop since 2014 (10.2.x), and ESRI was a member of the steering committee that helped draft the OGC Geopackage standard.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;As this behavior currently stands, I can not store vector features in an OGC Geopackage and hope to have users with ArcGIS Desktop/Reader interact with these data successfully.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 10 Dec 2019 20:24:46 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcreader-questions/why-do-arcgis-reader-desktop-not-function-properly/m-p/534876#M648</guid>
      <dc:creator>BrettCarlock</dc:creator>
      <dc:date>2019-12-10T20:24:46Z</dc:date>
    </item>
    <item>
      <title>Re: Why do ArcGIS Reader/Desktop not function properly with Geopackage?</title>
      <link>https://community.esri.com/t5/arcreader-questions/why-do-arcgis-reader-desktop-not-function-properly/m-p/534877#M649</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Ping:&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.esri.com/migrated-users/3609"&gt;Satish Sankaran&lt;/A&gt;‌&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.esri.com/migrated-users/3408"&gt;Lance Shipman&lt;/A&gt;‌&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 13 Jan 2020 22:01:08 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcreader-questions/why-do-arcgis-reader-desktop-not-function-properly/m-p/534877#M649</guid>
      <dc:creator>BrettCarlock</dc:creator>
      <dc:date>2020-01-13T22:01:08Z</dc:date>
    </item>
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