Population Density GIS Database for 52 counties of Montana, Idaho, and Washington

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Wildlife Spatial Analysis Lab, The University of Montana

Publication_Date: March 14, 2002

Title:

Population Density GIS Database for 52 counties of Montana, Idaho, and Washington

Geospatial_Data_Presentation_Form: raster digital data

Description:

Abstract:

DASY52CO is a population density grid for a 52-county area around western USFS Region 1. It was produced via dasymetric mapping routine. Dasymetric mapping is a GIS process whereby the output mapped areas are not identical to the input enumeration unit. In this case, spatial population density is refined from the enumeration unit (Census Blocks) by use of other GIS filters. The numbers of people counted by the 2000 Census (at the finest Block level) were reassigned to smaller map units in a sequence of filtering steps. First the boundaries of inhabited areas were restricted by eliminating all public lands, Plum Creek Timberlands, water features, certain uninhabited land cover types, land of extremely steep slope, and other local lands designated by the Census itself as non-populated at the Block level (example: urban commercial zones). Excluding these areas in this dasymetric mapping process has the largest effect on the overall new densities in the final product, since density on a per area basis is then far different, particularly in areas where much public land ownership -- common in these 52 counties.
Actual population counts for each Census Block then were redistributed with relative weighting according to the underlying land cover/land use (classified from satellite imagery), and resulting densities were calculated. Population is redistributed on a per-area basis. This is very important: for example, you don't simply assign 35% of the count to Urban covertype region, even if there is just a sliver of Urban. Instead, the area of Urban is calculated and count is redistributed on a per-area basis with a relative formula.

Purpose:

Combine Census data with land ownership and natural resource layers in a GIS to overcome some of the limitations of Census data and more precisely display population density and patterns of human land use.
Produce a better population density model. Can be used for display maps or as input in other analyses such as for land planning, wildfire models, biological habitat models.

Supplemental_Information:

Output is raster format Arc/Info grid (30m resolution cell size), with attached Info database.
This is a region grid: Census blocks are broken up into multiple (up to 5 maximum) raster regions per Census block, for 5 general land cover classes: urban, forested, open, agriculture, uninhabited.
Extent is 34 counties of western/central Montana, 17 counties of northern/central Idaho, and Pend Oreille County, Washington (northeastern corner of WA, which includes portion of Region 1). The area includes all of Region 1 except eastern portion of Custer National Forest (Pryors, Ashland District, Dakotas Grasslands). Also includes central Idaho counties to cover all of Salmon-Selway Ecosystem.
The grid item attribute DENSITY is people per square mile. This is a floating point item, but it is also very easy for user to create an integer grid with density as VALUE (without all the other attached attributes), by using the ArcInfo Grid function: DENSITY_INT = int ( ceil ( dasy52co.density ))
CEIL is used so that it will not truncate numbers less than one-half to zero.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: Year 2000 Census

Currentness_Reference: publication date

Status:

Progress: Complete

Maintenance_and_Update_Frequency: As needed

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -117.679911

East_Bounding_Coordinate: -107.339521

North_Bounding_Coordinate: 49.264576

South_Bounding_Coordinate: 42.432366

Keywords:

Theme:

Theme_Keyword_Thesaurus: demographics

Theme_Keyword: population density

Theme_Keyword: dasymetric

Theme_Keyword: block

Theme_Keyword: Census

Theme:

Theme_Keyword_Thesaurus: dasymetric mapping

Place:

Place_Keyword_Thesaurus: Geographic Names Information System

Place_Keyword: Montana

Place_Keyword: Idaho

Access_Constraints:

This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than one produced by the University of Montana, Wildlife Spatial Analysis Lab.

Use_Constraints:

This data set is provided "as-is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of this data set for a specific application. In no event will the creators or The University of Montana be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or inability to use this data set. Use of this data requires the ability to read Arc/Info Grid data sets. Users must assume responsibility for determining the suitability of this data for their purposes. Not intended for use at scales greater than 1:100000, due to source scale of data inputs.

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Roland Redmond

Contact_Organization: Wildlife Spatial Analysis Lab, The University of Montana

Contact_Position: Principal Investigator

Contact_Address:

Address_Type: mailing and physical address

Address: 205 Botany Bldg.

City: Missoula

State_or_Province: MT

Postal_Code: 59812

Country: USA

Contact_Voice_Telephone: 406-243-5372

Contact_Electronic_Mail_Address: red@wru.umt.edu

Data_Set_Credit:

The Wildlife Spatial Analysis Laboratory for creation of the geospatial data set.

Native_Data_Set_Environment: ESRI Arc/Info v. 8.1

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report: unknown

Logical_Consistency_Report:

All grid attributes were checked for consistency of appropriate range values.

Completeness_Report: Data set is complete for this 45-county study area.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Not assessed. Numerous input sources were used, but in general, accuracy for 100,000 source scale is approx. 51m, assuming source data meets National Map Accuracy Standards.

Quantitative_Horizontal_Positional_Accuracy_Assessment:

Vertical_Positional_Accuracy:

Vertical_Positional_Accuracy_Report: Not assessed.

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: Wildlife Spatial Analysis Lab

Originator: National Land Cover Dataset

Publication_Date: 2001

Title: Land Cover Type Classification

Geospatial_Data_Presentation_Form: raster digital data

Publication_Information:

Publication_Place: Missoula, Montana

Publisher: The University of Montana

Other_Citation_Details:

The primary source for the general land cover types is here at WSAL, from landcover/land-use classification of multiple edge-matched Landsat TM satellite images. (Secondary source is NLCD, used to supplement data for urban cover type and cloud-obstructed areas in WSAL classification.)

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: land_cov

Source_Contribution: Land Cover Type Classification

Source_Information:

Source_Citation:

Citation_Information:

Originator: United States Geological Survey

Publication_Date: 2001

Title: 7 1/2 minute Digital Elevation Models (DEMs)

Geospatial_Data_Presentation_Form: raster digital data

Series_Information:

Series_Name: 7 1/2 minute DEM's

Publication_Information:

Publication_Place: Sioux Falls, SD

Publisher: EROS Data Center (USGS)

Source_Scale_Denominator: 24,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: DEMs

Source_Contribution:

This is the source of elevation models used to create slope grids. Source is latest current available 24k DEMs posted in SDTS format; of latest/highest quality with Level 2 as many as possible.

Source_Information:

Source_Citation:

Citation_Information:

Originator: United States Geological Survey

Title: 100k Hydrography Digital Line Graphs

Geospatial_Data_Presentation_Form: vector digital data

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: DLGs

Source_Contribution:

Provided 100k hydrography digital line graphs (DLGs) for excluding water features from inhabited lands. Supplements water features contained in WSAL land cover classification, and Census-designated non-populated Blocks.

Source_Information:

Source_Citation:

Citation_Information:

Originator: U.S. Census Bureau

Publication_Date: 2001

Title: Montana Census Blocks

Geospatial_Data_Presentation_Form: vector digital data

Publication_Information:

Publication_Place: Helena, MT

Publisher:

Montana State Library/Natural Resource Information System (NRIS)

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: MT_blocks

Source_Contribution:

Source of Census Blocks boundaries and data for state of Montana.

Source_Information:

Source_Citation:

Citation_Information:

Originator: U.S. Census Bureau

Publication_Date: 2001

Title: Idaho and Washington Census Blocks

Geospatial_Data_Presentation_Form: vector digital data

Series_Information:

Series_Name: Census Blocks

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: ID_WA_blocks

Source_Contribution:

Source of Census Blocks data for state of Idaho and Pend Oreille County, WA.

Source_Information:

Source_Citation:

Citation_Information:

Originator: Montana Natural Heritage Program

Publication_Date: 1/29/2002

Title: Montana Land Ownership/Stewardship

Geospatial_Data_Presentation_Form: vector digital data

Publication_Information:

Publication_Place: Helena, MT

Publisher: Montana Natural Heritage Program

Online_Linkage: <http://nris.state.mt.us/nsdi/nris/ab105/ownerse.html>

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: MT_stew

Source_Contribution:

Boundaries for stewardship classes (combines land ownership with management). Base land ownership was derived from BLM 1:100,000 digital layers, with additional land ownership digital files obtained from a variety of other agencies. This dataset includes Plum Creek Timber Co. lands, but not other smaller company timberlands.

Source_Information:

Source_Citation:

Citation_Information:

Originator: Landscape Dynamics Lab

Publication_Date: 2001

Title: Idaho Land Stewardship

Geospatial_Data_Presentation_Form: vector digital data

Publication_Information:

Publication_Place: Moscow, ID

Publisher: Idaho Cooperative Fish and Wildlife Research Unit (IDCFWRU)

Online_Linkage: <http://www.wildlife.uidaho.edu/data/idstwrd.zip>

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: ID_stew

Source_Contribution:

Boundaries for stewardship classes (combines land ownership with management), for state of Idaho. Some minor editing of 1 small problem area done here at WSAL. This dataset does NOT include corporate timberlands ownership. Added to this data for Idaho was data for Plum Creek Timberlands Co. lands in Idaho, because it was being used in Montana also.

Source_Information:

Source_Citation:

Citation_Information:

Originator: Washington Dept. of Natural Resources

Publication_Date: 22-Aug-95

Title: Pend Oreille County Land Ownership

Geospatial_Data_Presentation_Form: vector digital data

Publication_Information:

Publisher: ICBEMP

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: WA_own

Source_Contribution:

Ownership source for northeast WA county of Pend Oreille, clipped from the state layer. Obtained from ICBEMP online data site, but dataset originally produced by WA DNR, Aug. 1995. This data does NOT include corporate timberlands.

Source_Information:

Source_Citation:

Citation_Information:

Originator: Montana State Library, from TIGER files

Publication_Date: 04/28/1993

Title: Montana Interstate Highways

Geospatial_Data_Presentation_Form: vector digital data

Publication_Information:

Publication_Place: Helena, MT

Publisher: Montana State Library

Online_Linkage: <http://nris.state.mt.us/nsdi/nris/e00/rd16.zip>

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: MT_int

Source_Contribution:

Interstate highways of Montana. Created here at WSAL by selecting from highway coverage obtained from MSL (based on 100k-scale 1990 TIGER files). Used to exclude corridor from interstate line as uninhabited.

Source_Information:

Source_Citation:

Citation_Information:

Originator: U.S. Geological Survey

Publication_Date: 19850101

Title: Idaho Interstate Highways

Geospatial_Data_Presentation_Form: vector digital data

Series_Information:

Series_Name: 100k DLGs

Publication_Information:

Publication_Place: Reston, Virginia

Publisher: USGS

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: ID_int

Source_Contribution:

Interstate highways of Idaho. Cover created here at WSAL by selecting from highway coverage obtained from Idaho Geographic Information Center (IGIC). Based on 100k-scale USGS DLGs. Used to exclude corridor from interstate line as uninhabited.

Source_Information:

Source_Citation:

Citation_Information:

Originator: U.S. Geological Survey

Publication_Date: Unknown

Title: Railroads

Geospatial_Data_Presentation_Form: vector digital data

Series_Information:

Series_Name: 100k DLGs

Publication_Information:

Publication_Place: Reston, Virginia

Publisher: USGS

Source_Scale_Denominator: 100,000

Type_of_Source_Media: online

Source_Time_Period_of_Content:

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: rr_DLGs

Source_Contribution:

Used to exclude corridors from railroad lines as uninhabited. Source is 100k DLGs. Some minor editing of small obvious mistakes done here at WSAL.

Process_Step:

Process_Description:

Create a GIS layer of land-use covertypes for populated vs. non-populated types, to filter out types such as water, mines/quarries, and high-elevation alpine types. Simplify the land cover/land use classification to five basic types of Urban, Agriculture, Wooded, Open, or Non-populated. Those simplified classes will be used to re-apportion population within Census Blocks (or excluded as non-populated).

Source_Used_Citation_Abbreviation: land_cov

Process_Date: 2001

Process_Step:

Process_Description:

Create a layer for slope from USGS 7.5' DEMs, to be used to limit populated lands for Open and Wooded covertype classes to lands less than or equal to 30% slope, assuming no residential development on lands greater than 30%. This is done to exclude very steep lands that are uninhabited. 30% is chosen as limit based on analyses of numerous sample point data sets. Roughly 70,000 sample points assembled from a few different areas of both east and west sides were analyzed for slope value and then 30% break chosen for full area. At 30%, this included approximately 98% of sample points, +/- approx. 1% for the sample sets. All Urban and Agricultural lands are assumed populated and not limited by slope.

Source_Used_Citation_Abbreviation: DEMs

Process_Date: 2002

Process_Step:

Process_Description:

Create a simplified layer of ownership types for populated vs. uninhabited, to exclude uninhabited areas such as public lands or land trusts/preserves. (Also included Plum Creek Timberlands Co. in Idaho, because they were already included in the Montana state stewardship coverage. Obtained from PCTC.)

Source_Used_Citation_Abbreviation: MT_stew

Source_Used_Citation_Abbreviation: ID_stew

Source_Used_Citation_Abbreviation: WA_own

Process_Date: 2002

Process_Step:

Process_Description:

Create a layer of water features from USGS 100k hydrography DLGs to exclude as uninhabited. This layer supplements covertype and ownership layers to add additional information - features too small to be included in the other layers or additional features such as wetlands.

Source_Used_Citation_Abbreviation: DLGs

Process_Date: 2002

Process_Step:

Process_Description:

Create a layer of Census Blocks designated as non-populated by the U.S. Census, which supplements the other layers by excluding features such as commercial/industrial, or small city parks within cities, as uninhabited.

Source_Used_Citation_Abbreviation: MT_blocks

Source_Used_Citation_Abbreviation: ID_WA_blocks

Process_Date: 2002

Process_Step:

Process_Description:

Using the above input layers, along with Interstate highways and railroads corridors, create the final overall layer of populated vs. non-populated lands.

Source_Used_Citation_Abbreviation: land_cov

Source_Used_Citation_Abbreviation: DEMs

Source_Used_Citation_Abbreviation: DLGs

Source_Used_Citation_Abbreviation: MT_blocks

Source_Used_Citation_Abbreviation: ID_WA_blocks

Source_Used_Citation_Abbreviation: MT_stew

Source_Used_Citation_Abbreviation: ID_stew

Source_Used_Citation_Abbreviation: WA_own

Source_Used_Citation_Abbreviation: MT_int

Source_Used_Citation_Abbreviation: ID_int

Source_Used_Citation_Abbreviation: rr_DLGs

Process_Date: 2002

Process_Step:

Process_Description:

Attach desired 2000 Census population count variable to each of the Block processed regions, by relating Census data files to the unique Block boundary ID number.

Source_Used_Citation_Abbreviation: MT_blocks

Source_Used_Citation_Abbreviation: ID_WA_blocks

Process_Date: 2002

Process_Step:

Process_Description:

Create dasymetric regions of Blocks by using attached covertype code, calculating areas of each covertype, and weighting output to redistribute population and density based on covertype. For any of the 4 general inhabited land cover classes within a Block (urban, forested, open, or agriculture), population count is split up and redistributed for up to 4 regions (or less). Thus, population is redistributed ON A PER-AREA BASIS (very important).
Establishment of relative weighting proportions is based on sample point data sets. Over 100,000 points from a number of point data sets in the region were analyzed to find proportions of the underlying 4 inhabited land cover classes. Proportions differ between the more heavily forested lands in the west and the more open lands in the eastern counties. Thus, 2 sets of weighting proportions are established, split by the Continental Divide, with 1 proportion for the 29 western counties and 1 for 23 eastern counties.
Actual proportions used on a percentage basis for westside-eastside are as follows.
WESTSIDE: urban-open-wooded-agric 35-30-25-10
EASTSIDE: urban-open-wooded-agric 35-45-10-10
Program is run for each and then counties merged back together for full area grid layer.

Process_Date: 2002

Process_Step:

Process_Description:

Merge all the processed Blocks back together into whole counties - single spatial files with database for each county. Program set up to create unique code number with which to merge database together (attribute MERGECODE). Likewise, merge all the counties into one area-wide file with database and desired attributes.

Process_Date: March 2002

Process_Step:

Process_Description:

Create a new final grid with VALUE item ranging from 1 to 214852 (the number of unique raster regions). VALUE then is just 6 digits, rather than 8 digits produced in previous step from merging with MERGECODE item. Many softwares can handle a grid with value of 6 digits much easier than 8 digits.

Process_Date: March 2002

Cloud_Cover: Zero

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Grid Cell

Row_Count: 24374

Column_Count: 25178

Vertical_Count: 1

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: Albers Conical Equal Area

Albers_Conical_Equal_Area:

Standard_Parallel: 46.000000

Standard_Parallel: 48.000000

Longitude_of_Central_Meridian: -109.500000

Latitude_of_Projection_Origin: 44.250000

False_Easting: 600000.000000

False_Northing: 0.000000

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: row and column

Coordinate_Representation:

Abscissa_Resolution: 30.000000

Ordinate_Resolution: 30.000000

Planar_Distance_Units: meters

Geodetic_Model:

Horizontal_Datum_Name: North American Datum of 1927

Ellipsoid_Name: Clarke 1866

Semi-major_Axis: 6378206.400000

Denominator_of_Flattening_Ratio: 294.978698

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: dasy52co.vat

Entity_Type_Definition: Grid Cell Value Attribute Table

Attribute:

Attribute_Label: Value

Attribute_Definition:

grid cell value: unique region identification number; links spatial and attribute data. The item VALUE is required by Arc/Info software and should not be changed, unless making a new grid.

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1

Range_Domain_Maximum: 214852

Attribute:

Attribute_Label: Count

Attribute_Definition:

Number of 30 sq.meter pixels in each region; value calculated by Arc/Info and should not be changed.

Attribute:

Attribute_Label: Mergecode

Attribute_Definition:

Unique 8-digit region identification number. Created from a concatenation of a code number for the state (1 or 3 or 5), county FIPS code, plus a unique 4-digit number (no county has greater than 4 digits of records, and the 8 digit total is minimum needed). Created as a code number with which to use for merging Blocks together.

Attribute:

Attribute_Label: STFID

Attribute_Definition:

numeric FIPS code identifier (although represented as character item, as most data sources use), for each Census block; concatenation of FIPS codes state-county-tract-block; needed if desiring to attach other Census variables later (identical to data sources). All U.S. Census Blocks are identified by this unique 15-digit ID number (summary tape file ID).

Attribute:

Attribute_Label: Statecode

Attribute_Definition:

1-digit code for State: 1=Idaho, 3=Montana, 5=Wash. This originates from the first digit of the state FIPS code.

Attribute:

Attribute_Label: Countyfips

Attribute_Definition:

3-digit County FIPS code. Identifies the county of each record. See a list of FIPS codes; but to list the 52 counties here:
Beaverhead, Benewah, Blaine, Boise, Bonner, Boundary, Broadwater, Camas, Carbon, Cascade, Chouteau, Clearwater, Custer, Deerlodge, Elmore, Fergus, Flathead, Gallatin, Glacier, Golden Valley, Granite, Idaho, Jefferson, Judith Basin, Kootenai, Lake, Latah, Lemhi, Lewis, Lewis & Clark, Lincoln, Madison, Meagher, Mineral, Missoula, Musselshell, Nez Perce, Park, Pend Oreille, Pondera, Powell, Ravalli, Sanders, Shoshone, Silver Bow, Stillwater, Sweet Grass, Teton, Toole, Valley, Wheatland, Yellowstone

Attribute:

Attribute_Label: Totalpop

Attribute_Definition:

Total number of persons counted by 2000 Census in the whole Block (not just in each unique region).

Attribute:

Attribute_Label: Covtypecode

Attribute_Definition: code number for general land cover class of the raster region

Attribute_Definition_Source: WSAL

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: 1

Enumerated_Domain_Value_Definition: urban

Enumerated_Domain:

Enumerated_Domain_Value: 2

Enumerated_Domain_Value_Definition: agriculture

Enumerated_Domain:

Enumerated_Domain_Value: 3

Enumerated_Domain_Value_Definition: wooded (forest or woody draws)

Enumerated_Domain:

Enumerated_Domain_Value: 4

Enumerated_Domain_Value_Definition: open (grass/shrub/barren)

Enumerated_Domain:

Enumerated_Domain_Value: 5

Enumerated_Domain_Value_Definition: uninhabited

Distribution_Information:

Distributor:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Roland L. Redmond

Contact_Organization: Wildlife Spatial Analysis Laboratory, The University of Montana

Contact_Position: Principal Investigator

Contact_Voice_Telephone: 406 243 5372

Contact_Electronic_Mail_Address: red@wru.umt.edu

Resource_Description: DASY52CO population density grid

Distribution_Liability:

This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than a data set produced by The University of Montana; it is provided "as-is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of this data set for a specific application. In no event will the data set producers at The University of Montana be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or the inability to use this data set.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Transfer_Size: 92.020

Technical_Prerequisites: knowledge of ArcInfo grids

Metadata_Reference_Information:

Metadata_Date: 20020802

Metadata_Review_Date: 20020801

Metadata_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Jim Schumacher

Contact_Organization: WSAL

Contact_Position: GIS specialist

Contact_Address:

Address_Type: mailing and physical address

Address: 205 Botany Bldg.

City: Missoula

State_or_Province: MT

Postal_Code: 59812

Country: USA

Contact_Voice_Telephone: 406 243 5217

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Extensions:

Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>

Profile_Name: ESRI Metadata Profile