Data format: ArcInfo Coverage
File or table name: mwc_feis
Coordinate system: Universal Transverse Mercator
Theme keywords: Bureau of Land Management, BLM, National Park Service, NPS, Wilderness, Wilderness characteristics, Society, Recreation
| Areas with Wilderness Characteristics Proposed Plan | |
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Data format: ArcInfo Coverage File or table name: mwc_feis Coordinate system: Universal Transverse Mercator Theme keywords: Bureau of Land Management, BLM, National Park Service, NPS, Wilderness, Wilderness characteristics, Society, Recreation |
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Abstract:
These data represent those polygons selected by management staff to be included in Proposed Plan, Arizona Strip, Final Environmental Impact Statement (FEIS) to be managed to contain wilderness characteristics. These data originated from the wild_nat, wild_sol, wild_primrec, and lwc data sets, which represent the following characteristics of wilderness: naturalness, solitude, and opportunities for primitive/unconfined recreation. |
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Metadata elements shown with blue text are defined in the Federal Geographic Data Committee's (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM). Elements shown with green text are defined in the ESRI Profile of the CSDGM. Elements shown with a green asterisk (*) will be automatically updated by ArcCatalog. ArcCatalog adds hints indicating which FGDC elements are mandatory; these are shown with gray text.
These data represent those polygons selected by management staff to be included in Proposed Plan, Arizona Strip, Final Environmental Impact Statement (FEIS) to be managed to contain wilderness characteristics. These data originated from the wild_nat, wild_sol, wild_primrec, and lwc data sets, which represent the following characteristics of wilderness: naturalness, solitude, and opportunities for primitive/unconfined recreation.
For regional analysis and display at 1:45,000. This dataset was prepared/acquired for use in the ASDO resource management planning process. These data establish a layer that spatially represents those acres on the Arizona Strip District that contain two or more of the wilderness characteristics of naturalness, solitude, and primitive/unconfined recreation, and have been selected by management staff to be included in Proposed Plan in the 2007 FEIS.
Dataset locally known as mwc_feis. This dataset and other datasets in the Arizona Strip District Office Geographic Information Database (ASDOGID) represent data for the BLM Arizona Strip District Office, and may include the Arizona Strip Field Office, Vermilion Cliffs National Monument (VCNM) and/or the Grand Canyon-Parashant National Monument (GCPNM or PARA). The Grand Canyon-Parashant National Monument is managed jointly by the BLM and the National Park Service (NPS)._
ground condition
This data should not be used at a scale larger than 1:45,000. The data and corresponding attributes are only as accurate as the source maps from which they were obtained, and may vary depending on the data and method of acquisition. This data is suitable for regional planning, management decision support at intermediate scales (i.e. 1:45,000 or smaller), and cartographic purposes. The data is not suitable for analysis at scales larger than 1:45,000. If the Receiving Agency (RA) has modified the data in any way, they are obligated to describe the types of modifications they have performed on hardcopy maps utilizing the data. RA specifically agrees not to misrepresent ASDOGID datasets or to imply that any changes made were approved by BLM ASDO or NPS. No warranty is made by the BLM/NPS for use of the data for purposes not intended by BLM/NPS. This information may be updated without notification.
345 East Riverside Dr.
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Feature attributes were taken from source material. Code assignments are believed to be representative of the source document.
Data was reviewed for correct topological structure. Duplicate lines have been removed.
This dataset covers the entire BLM Arizona Strip District. It is constantly being reviewed and added to as additional information becomes available.
The data was developed by screen digitizing polygons using a variety of field maps, photos, and other data sets. Coarse polygons were drawn in the field on maps printed with land status, transportation, and 1:24,000 or 1:100,000 digital raster graphs (DRG). These field maps were drawn to correspond with the wilderness characteristics evaluations that were written while in the field. In the office, information on the field maps was screen digitized using the same data sets in the background that were used in the field maps. Horizontal accuracy is not greater than 1:45,000. Positional accuracy was tested by visual comparison of the source data with the hard copy field maps.
The data set was developed as part of identifying areas where wilderness characteristics would be maintained by Arizona Strip District recreation staff.
Field data collected and presented by the Arizona Wilderness Coalition (AWC) were reviewed.
345 East Riverside Dr.
Field trips were made to evaluate the AWC proposal. Notes were taken, photos were taken, and evaluations were written.
345 East Riverside Dr.
In the office, polygons were screen digitized to correspond with field collected data. This resulted in the data sets wild_nat, wild_sol, and wild_primrec, which represent the wilderness characteristics of naturalness, solitude, and primitive/unconfined recreation. These data were then analyzed by staff and used to create the data set lwc (lands with wilderness characteristics).
345 East Riverside Dr.
The alternative development process was then used to create this data set. This process is described in detail in the Arizona Strip DEIS, Appendix 3D, beginning on page 6.
345 East Riverside Dr.
Original digital data file was created by local GIS staff by converting mwc_alte data to reflect proposed plan changes resulting from public review and comment.
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Internal feature number.
ESRI
Feature geometry.
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Internal node number for the beginning of an arc (from-node).
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Internal node number for the end of an arc (to-node).
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Internal node number for the left polygon.
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Internal node number for the right polygon.
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Length of feature in internal units.
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Internal feature number.
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User-defined feature number.
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Internal feature number.
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Feature geometry.
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Area of feature in internal units squared.
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Perimeter of feature in internal units.
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Internal feature number.
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User-defined feature number.
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Defines the geographic name assigned to each unique wilderness characteristic unit.
Defines the total numeric value placed on an individual wilderness characteristic unit. The criteria values are as follows: 1. Overlaps with an additional (third) wilderness characteristic polygon. 12 points; 2. Is contiguous to an existing designated wilderness or an NPS proposed wilderness area. 8 points; 3. Any portion of the polygon area is coincidental with a corresponding Semi-Primitive Non-Motorized ROS polygon. 5 points; 4. Contains listed species or other critical T and E plant/wildlife habitat that would be enhanced/protected by MWC status. 3 points; 5. Contains known cultural sites or areas that would be enhanced/protected by MWC status. 2 points; 6. Any portion of the polygon area is coincidental with VRM inventory class 2. 2 points; 7. Contains specific geologic, biologic, or other natural features that are distinctive or exceptional. 2 points
Defines the risk level of each individual wilderness characteristic polygon. Example: the closer the polygon to an urban interface, the greater the risk of losing those wilderness characteristics. A yes answer to any of the statements in this section results in the listed point total for that statement: 1. This area is considered to be at high risk. This may be due to one or more of the following conditions: -a.- The area is in close proximity to a community interface zone (generally less than ten miles) -b.- The area is outside national monument, existing ACEC boundaries, other protective withdrawals, or special designations. -c.- The topography is generally low relief and/or has large sections along the boundary that are conducive to unauthorized motorized access. -d.- The area has high potential for increased visitation over the next twenty years.10 points; 2. This area is considered to be at moderate risk. This may be due to one or more of the following conditions: -a.- The area is within moderate proximity to a community interface zone (generally between 10 and 25 miles); -b.- The area may be either inside or outside national monument, existing ACEC boundaries, other protective withdrawals, or special designations. -c.- The topography is generally low to moderate relief and/or has some sections along the boundary that are conducive to unauthorized motorized access. -d.- The area has moderate potential for increased visitation over the next twenty years. 6 Points; 3. This area is considered to be at low risk. This may be due to one or more of the following conditions: -a.- The area is a considerable distance from a community interface zone (generally more than 25 miles) -b.- The area may be either inside or outside national monument, existing ACEC boundaries, other protective withdrawals, or special designations. -c.- The topography is generally moderate to high relief and/or has few sections along the boundary that are conducive to unauthorized motorized access. -d.- The area has low potential for increased visitation over the next twenty years. 3 Points; 4. This area is considered to be at low risk. This may be due to one or more of the following conditions: -a.- The area is a considerable distance from a community interface zone (generally more than 25 miles) -b.- The area is inside a national monument, existing ACEC boundary, other protective withdrawal, or special designation. -c.- The topography is generally moderate to high relief and/or has no sections along the boundary that are conducive to unauthorized motorized access. -d.- The area has very low potential for increased visitation over the next twenty years.1 Point
Defines the manageability level of each individual wilderness characteristic polygon. Example: a polygon that has few natural barriers to motorized intrusion would have a lower manageability score. A yes answer to any of the statements in this section results in the listed point total for that statement. A yes answer to any of the statements in this section results in the listed point total for that statement. 1. Management of this area is the most efficient and effective, due to one or more of the following conditions: -a.- Topographic or vegetative features provide natural barriers to vehicular intrusions. -b.- Vehicular access to the perimeter is limited by natural barriers and parking is clustered in areas considered easy to manage. -c.- Current use patterns are well known and are not expected to place additional stress on the resources required to manage the area. -d.- Future use patterns and outdoor trends are not expected to place additional stress on the resources required to manage area. -e.- Budget constraints are not expected to affect the resources required for adequate management of the area. -f.- Enforcement activities are expected to be minimal.10 Points; 2. Management of this area is efficient and effective, due to one or more of the following conditions: -a.- Topographic or vegetative features provide some natural barriers to vehicular intrusions, but portions of the area may be more difficult to manage. -b.- Vehicular access to a majority of the perimeter is limited by natural barriers and a most of the parking is clustered in areas considered easy to manage, but may be scattered in other areas. -c.- Current use patterns are known or can be predicted and are expected to place a minimal amount of additional stress on the resources required to manage the area. -d.- Future use patterns and outdoor trends are expected to place a minimal amount of additional stress on the resources required to manage the area. -e.- Budget constraints are expected to have a minimal effect on the resources required for adequate management of the area. -f.- Enforcement activities are expected to be minimal to moderate. 6 Points; 3. Management of this area is moderately efficient and effective, due to one or more of the following conditions: -a.- Topographic or vegetative features provide few natural barriers to vehicular intrusions, and portions of the area may be difficult to manage. -b.- Vehicular access to most of the perimeter is not limited by natural barriers and most of the parking is dispersed over the perimeter. -c.- Current use patterns may or may not be well known and are expected to place a moderate amount of stress on the resources required to manage the area. -d.- Future use patterns and outdoor trends are expected to place a moderate amount of stress on the resources required to manage the area. -e.- Budget constraints may have a negative effect on the resources required for adequate management of the area.-f.- Enforcement activities are expected to be moderate. 3 Points; 4. Management of this area is the least efficient and effective, due to one or more of the following conditions: -a.- Topographic or vegetative features provide almost no natural barriers to vehicular intrusions, and portions of the area may be very difficult to manage.-b.- Vehicular access to most of the perimeter is unlimited and parking areas are widely dispersed. -c.- Current use patterns may or may not be known and are expected to place a significant amount of stress on the resources required to manage the area .-d.- Future use patterns and outdoor trends are expected to place a significant amount of stress on the resources required to manage the area.-e.- Budget constraints will negatively affect adequate management of the area.-f.- Enforcement activities are expected to be significant.1 Points
The management area in which the polygon is located.
Defines the area of each management area in acres
Attribute items are in typical ArcInfo point, line and polygon format.
345 East Riverside Dr.
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BLM-ASDO and NPS provide this data "as is" without liability. No warranty is made by the Bureau of Land Management or National Park Service as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data.
ESRI ArcInfo Coverage
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345 East Riverside Drive