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13505400
1.0
FALSE
WUI_flag_2020
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_Albers
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20250118
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FGDC
David P. Helmers
SILVIS Lab, Dept of Forest & Wildlife Ecology, University of Wisconsin-Madison
GIS/Data Scientist
608-890-3160
1630 Linden Drive
Madison
WI
53706
US
helmers@wisc.edu
20230808
ArcGIS Metadata
1.0
The 1990-2020 wildland-urban interface of the conterminous United States (version 4)- geospatial data
2023-07-01
David P. Helmers, SILVIS Lab, Dept of Forest & Wildlife Ecology, University of Wisconsin-Madison, GIS/Data Scientist
vector digital data
The Wildland-Urban Interface (WUI) is the area where houses meet or intermingle with undeveloped wildland vegetation. This makes the WUI a focal area for human-environment conflicts such as wildland fires, habitat fragmentation, invasive species, and biodiversity decline. Using geographic information systems (GIS), we integrated U.S. Census and USGS National Land Cover Data, to map the Federal Register definition of WUI (Federal Register 66:751, 2001). These data are useful within a GIS for mapping and analysis at national, state, and local levels.
To provide a spatially detailed national assessment of the Wildland Urban Interface (WUI) and WUI change between 1990 and 2020 across the coterminous U.S. to support wildland fire research, policy and management, and inquiries into the effects of housing growth on the environment.
David P. Helmers
SILVIS Lab, Dept of Forest & Wildlife Ecology, University of Wisconsin-Madison
GIS/Data Scientist
608-890-3160
1630 Linden Drive
Madison
WI
53706
US
helmers@wisc.edu
Miranda H. Mockrin
USDA Forest Service
Research Scientist
443-543-5389
5523 Research Park Drive Suite 350
Baltimore
MD
21228-4783
US
miranda.h.mockrin@usda.gov
Volker C. Radeloff
SILVIS Lab, Dept of Forest & Wildlife Ecology, University of Wisconsin-Madison
Professor
608-263-4349
1630 Linden Drive
Madison
WI
53706
US
radeloff@wisc.edu
environment
ISO 19115 Topic Categories
fragmentation
Wildland Urban Interface
environment
Housing Growth
Coterminous United States
United States
sprawl
wildland fire
WUI
environment
fragmentation
Wildland Urban Interface
environment
Housing Growth
Coterminous United States
United States
sprawl
wildland fire
WUI
None. Acknowledgment of the USDA Forest Service Northern Research Station in products, presentations, and publications utilizing these data would be appreciated.
Esri ArcGIS Pro 3.0.0
true
-127.977107
-65.254885
51.649519
22.768690
1990, 2000, 2010, 2020
1990-01-01
2020-01-01
No warranty, expressed or implied, is made by the U.S. Forest Service or the University of Wisconsin-Madison regarding the use of these data, nor does the act of distribution constitute any such warranty.
Topology maintained by ESRI ArcGIS Pro 3.0.0. All fuzzy tolerances during processing were set to 0.00000001 to prevent data loss.
Data is for the conterminous United States only (lower 48 states and Disrict of Columbia). No data was generated for Alaska, Hawaii, and U.S. territories.
Step 1: Created nationwide map of "protected areas with no housing units", pulled from the PAD-US (CBI Edition) version 2.1, including all federal, state, regional, and local government owned lands. Intersected these protected areas with U.S. block level housing change 1990-2020 dataset and moved housing units out of protected areas into neighboring privately owned blocks with the same block ID (called public land adjustment or PLA). If the same block ID had no private areas then houses remained within the protected lands boundary (no adjustment). Corrected topological errors and removed sliver polygons from public-land adjusted housing density dataset.
2023-07-01
Step 2: Integrated U.S. block level housing change 1990-2020 dataset (public land adjusted) with the 2019 National Land Cover Dataset NLCD (years 2001, 2011, and 2019), and the 1992/2001 Retrofit Change Product (1992 values only) using ArcGIS Tabulate Area command. Calculated wildland vegetation % for 4 decades (1990, 2000, 2010, 2020), with wildland vegetation defined as sum of relative percentages of land cover classes for forests, grasslands, and wetlands.
2023-07-01
Step 3: Assigned 1990 Intermix WUI classes to all polygons with > 50% wildland vegetation in 1990 and minimum 6.177635 housing units / square km in 1990. Assigned 2000 Intermix WUI classes to all polygons with > 50% wildland vegetation in 2000 and minimum 6.177635 housing units / square km in 2000. Assigned 2010 Intermix WUI classes to all polygons with > 50% wildland vegetation in 2010 and minimum 6.177635 housing units / square km in 2010. Assigned 2020 Intermix WUI classes to all polygons with > 50% wildland vegetation in 2020 and minimum 6.177635 housing units / square km in 2020.
2023-07-01
Step 4: Selected all block housing polygons with >= 75% wildland vegetation in 2020 and dissolved into larger contiguous areas. Buffered areas > 500 hectares by 2,414 m (1.5 miles) to identify potential interface WUI areas. Unioned 2020 buffers with integrated block housing polygons and assigned Interface WUI classes to all polygons falling inside vegetation buffers and minimum 6.177635 housing units / square km (ignoring pre-existing Intermix WUI areas) for all 4 decades 1990, 2000, 2010, 2020.
2023-07-01
PAD-US (CBI Edition) Version 2.1 is a comprehensive geospatial data set of United States protected areas, including detailed information on land ownership, management and conservation status.
PAD-US (CBI Edition) Version 2.1, September 2016
PAD-US (CBI Edition) Version 2.1, September 2016
https://consbio.org/projects/protected-areas-database-of-the-us-pad-us-cbi-edition/
Multi-Resolution Land Characteristics Consortium (MRLC) National Land Cover Dataset (NLCD) 2019. NLCD Land Cover (CONUS) All Years. Product provided landcover information for identifying forest, grassland, and wetland areas (wildland vegetation) for 2000, 2010, 2020 WUI classification.
Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9KZCM54
Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9KZCM54
https://www.mrlc.gov/data/nlcd-land-cover-conus-all-years
U.S. Census TIGER 2020 block polygons with associated 2020, 2010, 2000, and 1990 housing density. 2020 Census Block housing densities obtained from Summary File 1 and 1990, 2000, 2010 housing densities allocated from Census Bureau 1990-2000, 2000-2010, and 2010-2020 Block Relationship Files.
U.S. Block Housing Change 1990 - 2020
U.S. Block Housing Change 1990 - 2020
Dataset created by SILVIS Lab by allocating 1990, 2000, and 2010 housing units to 2210 TIGER block geography using Block Relationship Files. See metadata for the U.S. Block Housing Change 1990 - 2010 dataset on the SILVIS website for more details.
http://silvis.forest.wisc.edu/housing/block_change
Multi-Resolution Land Characteristics Consortium (MRLC) National Land Cover Dataset (NLCD) 1992/2001 Retrofit Land Cover Change Product. Provided landcover information for identifying forest, grassland, and wetland areas (wildland vegetation) for 1990 WUI classification.
Fry, J.A., Coan, M.J., Homer, C.G., Meyer, D.K., and Wickham, J.D., 2009, Completion of the National Land Cover Database (NLCD) 1992/2001 Land Cover Change Retrofit product: U.S. Geological Survey Open-File Report 2008 1379, 18 p.
NLCD Retrofit Change Product 1992-2001
0
wui_block_1990_2020_change_v4
polygon
silvis
Feature Class
0
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
Shape
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
0
0
WUIFLAG2020
Flag designating WUI (1=intermix; 2=interface) vs. non-WUI (0) areas in 2020
SILVIS Lab
WUIFLAG2020
Integer
4
0
0
Shape_Length
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Length
Double
8
0
0
Shape_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Double
8
0
0
Spatial objects (features) do not model any real world entities. Spatial objects (features) can be thought of as uniform areas of housing density and landcover, which have been assigned a Wildland Urban Interface classification. Items pertaining to National Land Cover Data (NLCD) make use of the following classification: <https://www.mrlc.gov/data/legends/national-land-cover-database-class-legend-and-description>
File Geodatabase Feature Class
dataset
Simple
FALSE
0
TRUE
FALSE