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    <title>topic Large decimal degree values when calculating geometry for latitude and longitude in ArcGIS Pro Questions</title>
    <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171936#M7699</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Often we need to edit a polygon feature and recalculate a longitude and latitude field for the centroid of the feature.&amp;nbsp; Historically, we have been doing this editing calculation within arcmap, but have been trying it out in ArcGIS pro.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Unfortunately when we try and calculate the centroid x-coordinate and centroid y-coordinate for longitude and latitude in decimal degrees we are getting very large values as compared to the workflow used in arcmap.&amp;nbsp; It looks like the format is being displayed in meters.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Below are the setting we are using:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;IMG height="368" 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" width="293" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is the output of (Lat,Lon) for a test feature that was created.&lt;/P&gt;&lt;P&gt;&lt;IMG src="data:image/png;base64,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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Any ideas on how to reproduce the calculate geometry function from arcmap?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 24 Sep 2020 18:19:55 GMT</pubDate>
    <dc:creator>BrentDavis</dc:creator>
    <dc:date>2020-09-24T18:19:55Z</dc:date>
    <item>
      <title>Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171936#M7699</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Often we need to edit a polygon feature and recalculate a longitude and latitude field for the centroid of the feature.&amp;nbsp; Historically, we have been doing this editing calculation within arcmap, but have been trying it out in ArcGIS pro.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Unfortunately when we try and calculate the centroid x-coordinate and centroid y-coordinate for longitude and latitude in decimal degrees we are getting very large values as compared to the workflow used in arcmap.&amp;nbsp; It looks like the format is being displayed in meters.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Below are the setting we are using:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;IMG height="368" 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" width="293" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is the output of (Lat,Lon) for a test feature that was created.&lt;/P&gt;&lt;P&gt;&lt;IMG src="data:image/png;base64,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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Any ideas on how to reproduce the calculate geometry function from arcmap?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 18:19:55 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171936#M7699</guid>
      <dc:creator>BrentDavis</dc:creator>
      <dc:date>2020-09-24T18:19:55Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171937#M7700</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;what are you using to calculate the values?&amp;nbsp; It looks like your data are in a projected coordinate system or it has been defined incorrectly as geographic when it is indeed projected&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 18:41:07 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171937#M7700</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2020-09-24T18:41:07Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171938#M7701</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dan thanks for your reply.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am not sure where to find this out. These are the spatial reference properties of the feature layer in question.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 18:47:39 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171938#M7701</guid>
      <dc:creator>BrentDavis</dc:creator>
      <dc:date>2020-09-24T18:47:39Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171939#M7702</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;right-click on the layer, select properties, look for spatial reference.&lt;/P&gt;&lt;P&gt;Again, what did you use/do to calculate the values for the coordinates?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 19:21:10 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171939#M7702</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2020-09-24T19:21:10Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171940#M7703</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;We are right clicking a field in the attribute table for the layer and clicking on 'Calculate Geometry'. I believe this is the same thing as using the 'Calculate Geometry Attributes' geoprocessing tool.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I've screenshot two images: The Calculate Geometry tool and the Spatial Reference information for the layer.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 19:33:57 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171940#M7703</guid>
      <dc:creator>BrentDavis</dc:creator>
      <dc:date>2020-09-24T19:33:57Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171941#M7704</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;You do have a projected coordinate system, it seems that the long/lat output request isn't being supported&lt;/P&gt;&lt;P&gt;Use&lt;/P&gt;&lt;P&gt;&lt;A class="link-titled" href="https://pro.arcgis.com/en/pro-app/tool-reference/data-management/add-geometry-attributes.htm" title="https://pro.arcgis.com/en/pro-app/tool-reference/data-management/add-geometry-attributes.htm"&gt;Add Geometry Attributes (Data Management)—ArcGIS Pro | Documentation&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;to compare&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 19:39:16 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171941#M7704</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2020-09-24T19:39:16Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171942#M7705</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Attached is the settings used for Add Geometry Attribute and what attributes were created for a selected feature.&amp;nbsp; Looks like I'm getting the same values.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 19:46:44 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171942#M7705</guid>
      <dc:creator>BrentDavis</dc:creator>
      <dc:date>2020-09-24T19:46:44Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171943#M7706</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;So confirmed that the data are in a projected coordinate system.&lt;/P&gt;&lt;P&gt;Now try to get them calculated in a GCS NAD83 (geographic coordinate system) to get them in decimal degrees,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You might have missed the help section....&lt;/P&gt;&lt;BLOCKQUOTE class="jive_macro_quote jive-quote jive_text_macro"&gt;&lt;P&gt;&lt;SPAN style="color: #4c4c4c; background-color: #ffffff;"&gt;If a coordinate system is specified, the length and area calculations will be in the units of that coordinate system unless different units are selected in the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN class="" style="color: #4c4c4c; background-color: #ffffff; font-weight: bold;"&gt;Length Unit&lt;/SPAN&gt;&lt;SPAN style="color: #4c4c4c; background-color: #ffffff;"&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;and&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN class="" style="color: #4c4c4c; background-color: #ffffff; font-weight: bold;"&gt;Area Unit&lt;/SPAN&gt;&lt;SPAN style="color: #4c4c4c; background-color: #ffffff;"&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;parameters.&lt;/SPAN&gt;&lt;/P&gt;&lt;/BLOCKQUOTE&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 20:40:32 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171943#M7706</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2020-09-24T20:40:32Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171944#M7707</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;O.k. GCS NAD83 did work for the coordinate system.&amp;nbsp; Thank you.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Is this because I was using a PCS for my coordinate system but decimal degrees should be using a GCS? &amp;nbsp;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 21:16:41 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171944#M7707</guid>
      <dc:creator>BrentDavis</dc:creator>
      <dc:date>2020-09-24T21:16:41Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171945#M7708</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Yes... GCS (geographic coordinate systems) are in decimal degrees.&amp;nbsp;&lt;/P&gt;&lt;P&gt;PCS (projected coordinate systems) are usually in meters, but&amp;nbsp;a few countries opt for feet (international or U.S.)&lt;/P&gt;&lt;P&gt;Datums are a whole different issue... basically describing Earth's shape (simply) so if those fundamentals change, then&amp;nbsp;coordinate values will change for a fixed location on Earth... hence, referred to as "datum shift".&lt;/P&gt;&lt;P&gt;There are tons (or tonnes) of great references out there&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 24 Sep 2020 22:27:18 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/171945#M7708</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2020-09-24T22:27:18Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/1103637#M46203</link>
      <description>&lt;P&gt;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/215600"&gt;@DanPatterson&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I know this post is from over a year ago, but it is the only one that is similar to what I am dealing with currently in a model that I have built for calculating geometry attributes in an acreage field for our parcel polygons.&amp;nbsp; I have another post out there where a gentleman is trying to assist me, but he isn't clarifying on how or where to effectively round the decimal to 2 in my model script.&amp;nbsp; Could you possibly assist me with this Dan?&amp;nbsp; Any help you can offer will be GREATLY appreciated!&amp;nbsp; See the model script in the python window below.&lt;/P&gt;&lt;LI-CODE lang="python"&gt;# -*- coding: utf-8 -*-
"""
Generated by ArcGIS ModelBuilder on : 2021-09-30 10:58:27
"""
import arcpy

def GeometryCalc():  # GeometryCalc

    # To allow overwriting outputs change overwriteOutput option to True.
    arcpy.env.overwriteOutput = False

    arcpy.ImportToolbox(r"c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx")
    # Model Environment settings
    with arcpy.EnvManager(scratchWorkspace=r"C:\Users\abishop\AppData\Local\Temp\ArcGISProTemp10544\1ba0f558-c873-4c6c-be6d-dc08393016c0\Default.gdb", workspace=r"C:\Users\abishop\AppData\Local\Temp\ArcGISProTemp10544\1ba0f558-c873-4c6c-be6d-dc08393016c0\Default.gdb"):
        mcpagis_DBO_Parcels = "K:\\GIS_TOOLS\\DB\\merlin.sde\\mcpagis.DBO.Cadastre__Features\\mcpagis.DBO.Parcels"

        # Process: Make Feature Layer (Make Feature Layer) (management)
        DBO_Parcels_Layer = "DBO.Parcels_Layer"
        with arcpy.EnvManager(scratchWorkspace=r"C:\Users\abishop\AppData\Local\Temp\ArcGISProTemp8392\0686a1b7-5a62-4965-97f7-463b179295c6\Default.gdb", workspace=r"C:\Users\abishop\AppData\Local\Temp\ArcGISProTemp8392\0686a1b7-5a62-4965-97f7-463b179295c6\Default.gdb"):
            arcpy.management.MakeFeatureLayer(in_features=mcpagis_DBO_Parcels, out_layer=DBO_Parcels_Layer, where_clause="GIS_ACRES = 0 Or GIS_ACRES IS NULL", workspace="", field_info="OBJECTID OBJECTID VISIBLE NONE;PARCEL PARCEL VISIBLE NONE;PREFIX PREFIX VISIBLE NONE;SUFFIX1 SUFFIX1 VISIBLE NONE;SUFFIX2 SUFFIX2 VISIBLE NONE;GIS_ACRES GIS_ACRES VISIBLE NONE;KIND KIND VISIBLE NONE;ANGLE ANGLE VISIBLE NONE;SIZE_ SIZE_ VISIBLE NONE;DATE_CREATED DATE_CREATED VISIBLE NONE;DATE_UPDATED DATE_UPDATED VISIBLE NONE;SHAPE SHAPE VISIBLE NONE;SHAPE.area SHAPE.area VISIBLE NONE;SHAPE.len SHAPE.len VISIBLE NONE")

        # Process: Calculate Geometry Attributes (Calculate Geometry Attributes) (management)
        with arcpy.EnvManager(scratchWorkspace=r"C:\Users\abishop\AppData\Local\Temp\ArcGISProTemp8392\0686a1b7-5a62-4965-97f7-463b179295c6\Default.gdb", workspace=r"C:\Users\abishop\AppData\Local\Temp\ArcGISProTemp8392\0686a1b7-5a62-4965-97f7-463b179295c6\Default.gdb"):
            DBO_Parcels_Layer_2_ = arcpy.management.CalculateGeometryAttributes(in_features=DBO_Parcels_Layer, geometry_property=[["GIS_ACRES", "AREA"]], length_unit="", area_unit="ACRES", coordinate_system="PROJCS[\"NAD_1983_StatePlane_Florida_West_FIPS_0902_Feet\",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\",656166.6666666665],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"Central_Meridian\",-82.0],PARAMETER[\"Scale_Factor\",0.9999411764705882],PARAMETER[\"Latitude_Of_Origin\",24.33333333333333],UNIT[\"Foot_US\",0.3048006096012192]]", coordinate_format="SAME_AS_INPUT")[0]

if __name__ == '__main__':
    GeometryCalc()&lt;/LI-CODE&gt;</description>
      <pubDate>Thu, 30 Sep 2021 17:40:49 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/1103637#M46203</guid>
      <dc:creator>ABishop</dc:creator>
      <dc:date>2021-09-30T17:40:49Z</dc:date>
    </item>
    <item>
      <title>Re: Large decimal degree values when calculating geometry for latitude and longitude</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/1284013#M68566</link>
      <description>&lt;P&gt;Hi Dan,&lt;/P&gt;&lt;P&gt;When &lt;STRONG&gt;calculating geometry&lt;/STRONG&gt; for latitude and longitude fields, ArcGIS Pro 3.03 gives me eight decimals:&amp;nbsp; DDMMSS.ssssssss&lt;/P&gt;&lt;P&gt;I guess someone in the world wants that, but we just want DDD° MM' SSS.sss (like the good old days in ArcGIS Desktop).&amp;nbsp;&amp;nbsp;Choosing WGS84 vs. a state plane coordinate system does not appear to affect this.&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We are choosing the following option for coordinate format:&amp;nbsp; (Degrees Minutes Seconds (DDD° MM' SSS.ss" &amp;lt;N|S|E|W&amp;gt;)&lt;/P&gt;&lt;P&gt;While I am asking, perhaps there is a way to add these fields so that they automatically update when points are added to the table?&lt;/P&gt;</description>
      <pubDate>Fri, 28 Apr 2023 17:58:23 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/large-decimal-degree-values-when-calculating/m-p/1284013#M68566</guid>
      <dc:creator>SUSANMYERS</dc:creator>
      <dc:date>2023-04-28T17:58:23Z</dc:date>
    </item>
  </channel>
</rss>

