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Service Description: Many of the BLM National Datasets cannot be taken offline due to the number of vertices in the dataset. In addition, displaying the data using a Feature Service crashes ArcGIS Server due to complex geometries (ie Godzilla polygons). As a result, it became imperative to generalize the Feature Classes so that they can be used in a Feature Service as well as being taken offline.
Using configuration settings, the user may choose between using a Smoothing algorithm or Simplification algorithm to perform generalization.
Documentation on the Smoothing algorithm can be found here: https://pro.arcgis.com/en/pro-app/latest/tool-reference/cartography/smooth-polygon.htm
Documentation on the Simplification algorithm can be found here: https://pro.arcgis.com/en/pro-app/latest/tool-reference/cartography/simplify-polygon.htm
Note: At the time of this writing, only polygon smoothing/simplification is tested. However, Linear datasets are also supported (FEATURE_TYPE)
*Each of the features were generalized except for the labels (anno) and the point feature class in the admu blm webpub dataset. To keep the naming convention the same, we added the _gen after each feature class so this service and the data layers won’t get confused with the other admu services. This service and the underlying data will be kept “in-sync” with national replication.
Feature level Dataset for the BLM Administrative Unit Boundaries Data Standard. This feature dataset includes both BLM administrative land areas and office locations. Land areas are depicted with polygons for the smallest administrative unit (field offices). Larger administrative units, such as district offices, and administrative states may be derived from these polygons. Office locations at each level are depicted with points.
Map Name: BLM Natl AdminUnit Generalized
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Description: Many of the BLM National Datasets cannot be taken offline due to the number of vertices in the dataset. In addition, displaying the data using a Feature Service crashes ArcGIS Server due to complex geometries (ie Godzilla polygons). As a result, it became imperative to generalize the Feature Classes so that they can be used in a Feature Service as well as being taken offline.
Using configuration settings, the user may choose between using a Smoothing algorithm or Simplification algorithm to perform generalization.
Documentation on the Smoothing algorithm can be found here: https://pro.arcgis.com/en/pro-app/latest/tool-reference/cartography/smooth-polygon.htm
Documentation on the Simplification algorithm can be found here: https://pro.arcgis.com/en/pro-app/latest/tool-reference/cartography/simplify-polygon.htm
Note: At the time of this writing, only polygon smoothing/simplification is tested. However, Linear datasets are also supported (FEATURE_TYPE)
*Each of the features were generalized except for the labels (anno) and the point feature class in the admu blm webpub dataset. To keep the naming convention the same, we added the _gen after each feature class so this service and the data layers won’t get confused with the other admu services. This service and the underlying data will be kept “in-sync” with national replication.
Feature level Dataset for the BLM Administrative Unit Boundaries Data Standard. This feature dataset includes both BLM administrative land areas and office locations. Land areas are depicted with polygons for the smallest administrative unit (field offices). Larger administrative units, such as district offices, and administrative states may be derived from these polygons. Office locations at each level are depicted with points.
Copyright Text: Bureau of Land Management, Headquarters (HQ)
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
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YMin: 3103346.2098040027
XMax: -7793703.055816646
YMax: 7653234.791368695
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.99423088961E7
YMin: 2801774.6000999995
XMax: 2.0012451780199997E7
YMax: 1.1536765394599997E7
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: BLM Natl Admin Units Generalized
Author:
Comments: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>Many of the BLM National Datasets cannot be taken offline due to the number of vertices in the dataset. In addition, displaying the data using a Feature Service crashes ArcGIS Server due to complex geometries (ie Godzilla polygons). As a result, it became imperative to generalize the Feature Classes so that they can be used in a Feature Service as well as being taken offline.</SPAN></P><P><SPAN /></P><P><SPAN>Using configuration settings, the user may choose between using a Smoothing algorithm or Simplification algorithm to perform generalization. </SPAN></P><P><SPAN /></P><P><SPAN>Documentation on the Smoothing algorithm can be found here: https://pro.arcgis.com/en/pro-app/latest/tool-reference/cartography/smooth-polygon.htm</SPAN></P><P><SPAN /></P><P><SPAN>Documentation on the Simplification algorithm can be found here: https://pro.arcgis.com/en/pro-app/latest/tool-reference/cartography/simplify-polygon.htm</SPAN></P><P><SPAN /></P><P><SPAN>Note: At the time of this writing, only polygon smoothing/simplification is tested. However, Linear datasets are also supported (FEATURE_TYPE)</SPAN></P><P><SPAN /></P><P><SPAN>*Each of the features were generalized except for the labels (anno) and the point feature class in the admu blm webpub dataset. To keep the naming convention the same, we added the _gen after each feature class so this service and the data layers won’t get confused with the other admu services. This service and the underlying data will be kept “in-sync” with national replication. </SPAN></P><P /><P><SPAN>Feature level Dataset for the BLM Administrative Unit Boundaries Data Standard. This feature dataset includes both BLM administrative land areas and office locations. Land areas are depicted with polygons for the smallest administrative unit (field offices). Larger administrative units, such as district offices, and administrative states may be derived from these polygons. Office locations at each level are depicted with points.</SPAN></P></DIV></DIV></DIV>
Subject: This dataset has been generalized in an effort to meet program performance requests and/or requirements within a feature service. The generalized geometry may not reflect the original data perfectly and should be taken into account when running certain analysis types. Changes to the current generalized process are ongoing and this service should not be considered final. This dataset captures and establishes the geographic areas in which the organizational units of the BLM have distinct jurisdictional responsibility for land and resource management activities occurring on the public lands, the maintained rights of the United States (i.e. mineral estate) and actions relating to the Trust responsibilities of the U.S. Government as stipulated in Law or Treaty. Particularly, this data pertains to the following BLM groups and their purposes: BLM State, District, and Field Office Personnel; most programs and national applications within the BLM; other agencies and the public.
Category:
Keywords: Administrative Units,BLM,Bureau of Land Management,Jurisdiction,Public Lands
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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