GNAT.StreamBranchesTool.pyt.xml

<metadata xml:lang="en"><Esri><CreaDate>20150811</CreaDate><CreaTime>12245200</CreaTime><ArcGISFormat>1.0</ArcGISFormat><SyncOnce>TRUE</SyncOnce><ModDate>20180209</ModDate><ModTime>9250400</ModTime><scaleRange><minScale>150000000</minScale><maxScale>5000</maxScale></scaleRange><ArcGISProfile>ItemDescription</ArcGISProfile></Esri><dataIdInfo><idCitation><resTitle>Generate Stream Branches</resTitle></idCitation><idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The &lt;/SPAN&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Generate Stream Branches &lt;/SPAN&gt;&lt;SPAN&gt;tool can dissolve a stream network polyline feature class based on a stream name (e.g. GNIS Name) and stream order to generate unique stream branch IDs for reaches in the stream network.  The stream branches can then be used when segmenting the network into same-length segments.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs><searchKeys><keyword>GNAT</keyword><keyword>stream</keyword><keyword>network</keyword><keyword>branch</keyword></searchKeys><idCredit>Kelly Whitehead, Jesse Langdon, South Fork Research, Inc.</idCredit></dataIdInfo><distInfo><distributor><distorFormat><formatName>ArcToolbox Tool</formatName></distorFormat></distributor></distInfo><tool name="StreamBranchesTool" displayname="Generate Stream Branches" toolboxalias="GNAT" xmlns=""><parameters><param name="InputStreamNetwork" displayname="Input Stream Network (with Stream Order)" type="Required" direction="Input" datatype="Feature Layer" expression="InputStreamNetwork"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Stream network polyline feature class with a stream order attribute (from &lt;/SPAN&gt;&lt;A href="https://github.com/SouthForkResearch/gnat/wiki/Calculate-Stream-Order"&gt;&lt;SPAN&gt;Calculate Stream Order &lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;tool). Can be a shapefile or geodatabase feature class.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference></param><param name="InputNetworknodes" displayname="Input Stream Network Nodes" type="Optional" direction="Input" datatype="Feature Layer" expression="{InputNetworknodes}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Point feature class representing nodes within the input stream network.  Ideally, this should be the point feature class which is produced by the &lt;/SPAN&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Generate Network Attributes&lt;/SPAN&gt;&lt;SPAN&gt; tool (i.e. the shapefile with "_node" added to the file name).  The tool requires that this feature class includes the "_nodetype_" attribute field.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference></param><param name="fieldStreamName" displayname="Primary Stream Name Field (i.e. GNIS Name)" type="Required" direction="Input" datatype="String" expression="fieldStreamName"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Attribute field with stream names, such as the GNIS_Name field. Not all stream reaches need to have a stream name - the tool will use stream order for reaches without a stream name.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference></param><param name="fieldStreamOrder" displayname="Stream Order Field" type="Optional" direction="Input" datatype="String" expression="{fieldStreamOrder}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Attribute field containing the stream order for each polyline feature in the input stream network polyline feature class.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference></param><param name="outputStreamOrderFC" displayname="Output Line Network with Branch ID" type="Required" direction="Output" datatype="Feature Class" expression="outputStreamOrderFC"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Output polyline feature class which will include stream branch IDs as an attribute. The tool will overwrite existing data files. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference></param><param name="boolDissolve" displayname="Dissolve Output Network by BranchID?" type="Optional" direction="Input" datatype="Boolean" expression="{boolDissolve}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;`Checked`: The output stream network polyline feature class will contain all features dissolved by the `BranchID`. Other feature attributes will be dropped due to the dissolve.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;`Unchecked`: The output stream network will retain its original features and attributes, with the addition of the `BranchID` field.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference></param><param name="InputTempWorkspace" displayname="Scratch Workspace" type="Optional" direction="Input" datatype="Workspace" expression="{InputTempWorkspace}"><dialogReference>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Can be a file geodatabase or folder. Will be used for saving temporary processing data files.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;If a workspace is not explicitly designated, the tool will use the "in_memory" workspace. Temporary data will not be accessible, but processing speeds will increase.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</dialogReference></param></parameters><summary>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The &lt;/SPAN&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Generate Stream Branches &lt;/SPAN&gt;&lt;SPAN&gt;tool can dissolve a stream network polyline feature class based on a stream name (e.g. GNIS Name) and stream order to generate unique stream branch IDs for reaches in the stream network.  The stream branches can then be used when segmenting the network into same-length segments.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</summary><arcToolboxHelpPath>c:\program files (x86)\arcgis\desktop10.4\Help\gp</arcToolboxHelpPath></tool><mdHrLv><ScopeCd value="005"/></mdHrLv><Binary><Enclosure rel="side-panel-help"><Data EsriPropertyType="Image" OriginalFileName="thumbnail.jpg">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data></Enclosure></Binary></metadata>