2 foot contours (2008) provided as geodatabase. This dataset contains locations and attributes of 2-ft interval topography data, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. In addition to the 2-ft contour data ancillary datasets containing an ESRI geodatabase of masspoints and breaklines.

Important Note: This item is in mature support as of June 2021 and is no longer updated.

This map presents land cover and detailed topographic maps for the United States. It uses the USA Topographic Map service. The map includes the National Park Service (NPS) Natural Earth physical map at 1.24km per pixel for the world at small scales, i-cubed eTOPO 1:250,000-scale maps for the contiguous United States at medium scales, and National Geographic TOPO! 1:100,000 and 1:24,000-scale maps (1:250,000 and 1:63,000 in Alaska) for the United States at large scales. The TOPO! maps are seamless, scanned images of United States Geological Survey (USGS) paper topographic maps.

The maps provide a very useful basemap for a variety of applications, particularly in rural areas where the topographic maps provide unique detail and features from other basemaps.

To add this map service into a desktop application directly, go to the entry for the USA Topo Maps map service.

Tip: Here are some famous locations as they appear in this web map, accessed by including their location in the URL that launches the map:

Grand Canyon, Arizona

Golden Gate, California

The Statue of Liberty, New York

Washington DC

Canyon De Chelly, Arizona

Yellowstone National Park, Wyoming

Area 51, Nevada

2 foot contours (2008) provided as shapefile. This dataset may delay in downloading. Optionally download geodatabase. This dataset contains locations and attributes of 2-ft interval topography data, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. In addition to the 2-ft contour data ancillary datasets containing an ESRI geodatabase of masspoints and breaklines.

These are military topographic maps (scale 1:25,000) from the years 1944, series GSGS 4427 and GSGS 4414 (GSGS = Geographical Section General Staff). During the Second World War, maps of strategically located areas in the occupied territories were produced on the initiative of the American Army Map Service (AMS) in Washington DC and the British War Office in London. The work of the military services includes maps of cities and map series of France, Belgium and the Netherlands, among others. This includes the map series "Holland, 1:25.000" which was known to the Americans under the code AMS M831 and to the British under the code GSGS 4427. The 215 sheets in series GSGS 4427 contain most of the Netherlands, and were published in 1943. , 1944 or 1945 printed. From series GSGS 4414 there are 263 maps of the eastern part of the Netherlands and a large part of Germany. Older sheets available in Washington DC and London were used to make the maps. Sometimes it was even necessary to refer to information printed by the Dutch Topographical Service from the end of the nineteenth century. If the Allies had more recent magazines, they were of course used. In most cases, information was taken from map sheets from the 1920s and 1930s. In addition, information was also taken from, for example, Michelin maps and map sheets of the Koninklijke Nederlandsche Automobiel Club (KNAC).

0.6 meter contours. This dataset contains locations and attributes of 0.6 meter (1.9685 feet) interval topography data, created using bare earth points from the lidar point cloud data.Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.

0.6 meter contours. This dataset contains locations and attributes of 0.6 meter (1.9685 feet) interval topography data, created using bare earth points from the lidar point cloud data.Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.

0.6 meter contours. This dataset contains locations and attributes of 0.6 meter (1.9685 feet) interval topography data, created using bare earth points from the lidar point cloud data.Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.

Topographic map on a scale of 1: 10,000 in the 1992 TBD standard is a generic map (in colour).It shows the shape and cover of the site (including water, vegetation, settlements, roads and a number of other objects). Topographic map 1:10000 in the TBD standard — is a product developed for the preparation of high quality plotter prints, with a small amount of editorial work, while maintaining the correct information message. It is a cartographic product of the TBD database (KARTO component). The KARTO database is stored in sheet cutting.

Elevation captured in 1999. Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.

Topographic map on a scale of 1: 10,000 in the 1992 layout is a graphical map (in colour). It shows the shape and cover of the land (including water, vegetation, settlements, roads and a number of other objects). Topographical maps are the primary source of information about the geographical environment.

10 foot contours (2008). This dataset contains locations and attributes of 10-ft interval topography data, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. In addition to the 2-ft contour data ancillary datasets containing an ESRI geodatabase of masspoints and breaklines.

The Historical Map and Chart Collection of the Office of Coast Survey contains over 20000 historical maps and charts from the mid 1700s through the late 1900s. These images are available for viewing or download through the image catalog at https://historicalcharts.noaa.gov/historicals/search . The Collection includes some of the nation's earliest nautical charts, hydrographic surveys, topographic surveys, geodetic surveys, city plans and Civil War battle maps. The Collection is a rich primary historical archive and a testament to the artistry of copper plate engraving technology of the nineteenth and twentieth centuries. Notable offerings include maps of Vancouver's explorations, the "Wilkes Atlas" of the U.S. Whistler's Anacapa Island chart, an extensive Civil War collection, a large scale topographic series of Washington, D.C., city plans, the reengraving of the famous 1792 L'Enfant and Ellicott plan for Washington D.C., and many artistic perspective sketches that were once an integral part of hydrographic surveys and published charts.

Location and attributes for Base Flood Elevations lines shown on FIRM. The elevation of surface water resulting from a flood that has a 1% chance of equaling or exceeding that level in any given year. The BFE is shown on the Flood Insurance Rate Map (FIRM) for zones AE, AH, A1–A30, AR, AR/A, AR/AE, AR/A1– A30, AR/AH, AR/AO, V1–V30 and VE.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr This metadata record describes the digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available data known to exist at the time of DEM creation that met project specifications, for mainland Virginia, this includes portions of the following counties: Alexandria, Arlington, Charles City, Chesapeake, Essex, Fairfax, Falls Church, Franklin City, Fredericksburg City, Gloucester, Hampton, Isle of Wight, James City, King and Queen, King George, King William, Lancaster, Mathews, Middlesex, New Kent, Newport News, Norfolk, Northumberland, Poquoson City, Portsmouth, Prince George, Prince William, Richmond, Southampton, Stafford, Suffolk, Surry, Sussex, Virginia Beach, Westmoreland, Williamsburg, and York. This DEM also includes the District of Columbia. The DEM is derived from the following lidar: 1. New Kent, Charles City, Prince George Counties 2012 FEMA Middle Counties VA Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/Middle_Counties/Metadata/Project_Report/Dewberry_ProjectReport_MiddleCounties.pdf Additional coverage provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 2. King William County 2011 FEMA King William County VA Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/KingWilliamCo/KingWilliam_Metadata/Dewberry_ProjectReport_KingWilliam.pdf Additional coverage provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 3. Hampton and Portsmouth Cities 2011 FEMA Virginia Southern Cities Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/SouthernCities/SouthernCities_Metadata/Dewberry_ProjectReport_SouthernCities.pdf 4. Franklin City and Southampton County 2011 FEMA Virginia Counties South Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/VA_Counties_South/SouthernCo_Metadata/Dewberry_ProjectReport_Southampton.pdf 5. Fredericksburg City and Essex, King George, Prince William, Richmond, Stafford, Westmoreland Counties 2011 FEMA Virginia Counties North Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/VA_Counties_North/NorthernCo_Metadata/Dewberry_ProjectReport_NorthernCounties.pdf 6. Northumberland, Middlesex, Lancaster, King and Queen, Gloucester, Mathews, James City, Williamsburg, Surry, Isle of Wight, Suffolk Counties 2010/2011 USGS Eleven County Coastal VA Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/a11county/Metadata/PROJECT_REPORT/Final%20Project%20Report%20for%20USGS%20Virginia%20LiDAR_01312011.pdf Additional coverage for Surry and King and Queen counties provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 7. Alexandria, Arlington, and Falls Church Counties 2008 NGA Capital Region Lidar The lidar data is not publicly available, the data was provided by the State of Virginia as bare earth DEMs. 8. Fairfax County 2008 NGA Capital Region Lidar The lidar data is not publicly available, the data was provided by the State of Virginia as bare earth DEMs. 2012 FEMA Virginia Lidar This data may be downloaded from USGS EarthExplorer at: http://earthexplorer.usgs.gov/ 9. York, Poquoson City, Newport News, Norfolk, Chesapeake, Virginia Beach, and Sussex Counties Data provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 2010 US Army Corps of Engineers (USACE) Lidar This data may be downloaded at: http://www.coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1132 The metadata for this data may be accessed at: http://coast.noaa.gov/dataviewer/webfiles/metadata/usace2010_va_template.html 10.District of Columbia Washington, DC and Environs, 2008, 1/9 Arc second National Elevation Dataset (NED) This data may be downloaded at: http://viewer.nationalmap.gov/viewer/ Hydrographic breaklines were delineated from LiDAR intensity imagery generated from the LiDAR datasets. The DEM is hydro flattened such that water elevations are less than or equal to 0 meters. The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.

Named Landforms of the World (NLW) contains four sub-layers representing geomorphological landforms, provinces, divisions, and their respective cartographic boundaries. The latter is to support map making, while the first three represent basic units such landforms comprise provinces, and provinces comprise divisions. NLW is a substantial update to World Named Landforms in both compilation method and the attributes that describe each landform.For more details, please refer to our paper, Named Landforms of the World: A Geomorphological and Physiographic Compilation, in Annals of the American Assocation of Geographers.Landforms are commonly defined as natural features on the surface of the Earth. The National Geographic Society specifies terrain as the basis for landforms and lists four major types: mountains, hills, plateaus, and plains. Here, however, we define landforms in a richer way that includes properties relating to underlying geologic structure, erosional and depositional character, and tectonic setting and processes. These characteristics were asserted by Dr. Richard E. Murphy in 1968 in his map, titled Landforms of the World. We blended Murphy's definition for landforms with the work E.M. Bridges, who in his 1990 book, World Geomorphology, provided a globally consistent description of geomorphological divisions, provinces, and sections to give names to the landform regions of the world. AttributeDescription Bridges Full NameFull name from E.M. Bridges' 1990 "World Geomorphology" Division and if present province and section - intended for labeling print maps of small extents. Bridges DivisionGeomorphological Division as described in E.M. Bridges' 1990 "World Geomorphology" - All Landforms have a division assigned, i.e., no nulls. Bridges ProvinceGeomorphological Province as described in E.M. Bridges' 1990 "World Geomorphology" - Not all divisions are subdivided into provinces. Bridges SectionGeomorphological Section as described in E.M. Bridges' 1990 "World Geomorphology" - Not all provinces are subdivided into sections. StructureLandform Structure as described in Richard E. Murphy's 1968 "Landforms of the World" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years Moist or DryLandform Erosional/Depositional variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. TopographicLandform Topographic type variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. Glaciation TypeLandform Erosional/Depositional variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. ContinentAssigned by Author during data compilation. Bridges Short NameThe name of the smallest of Division, Province, or Section containing this landform feature. Murphy Landform CodeCombination of Richard E. Murphy's 1968 "Landforms of the World" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. Area_GeoGeodesic area in km2. Primary PlateName of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform's area. Secondary PlateWhen a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. 3rd PlateWhen a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. 4th PlateWhen a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. 5th PlateWhen a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. NotesContains standard text to convey additional tectonic process characteristics. Tectonic ProcessAssigns values of orogenic, rift zone, or above subducting plate.

These data are also available as an ArcGIS Pro Map Package: Named_Landforms_of_the_World_v2.0.mpkx.These data supersede the earlier v1.0: World Named Landforms.Change Log:

DateDescription of Change July 20, 2022Corrected spelling of Guiana from incorrect representation, "Guyana", used by Bridges. July 27, 2022Corrected Structure coded value domain value, changing "Caledonian/Hercynian Shield" to "Caledonian , Hercynian, or Appalachian Remnants".

Cite as:Frye, C., Sayre R., Pippi, M., Karagulle, Murphy, A., D. Soller, D.R., Gilbert, M., and Richards, J., 2022. Named Landforms of the World. DOI: 10.13140/RG.2.2.33178.93129. Accessed on:

Location and attributes for cross section lines in the area covered by the FIRM. This layer must contain all cross sections in a model, not just the lettered cross sections. A line developed from topographic information across a floodplain at which a computation of flood flow has been made to establish a potential flood elevation. Cross sections are shown on the Flood Boundary Floodway Map, Flood Insurance Rate Map, and/or Flood Profiles of a Flood Insurance Study.

This layer was created as part of Esri’s Green Infrastructure Initiative and is one of five newly generated companion datasets that can be used for Green Infrastructure (GI) planning at national, regional, and more local scales. If used together, these layers should have corresponding date-based suffixes (YYYYMMDD). The corresponding layer names are: Intact Habitat Cores, Habitat Connectors, Habitat Fragments, Habitat Cost Surface, and Intact Habitat Cores by Betweenness. These Esri derived data, and additional data central to GI planning from other authoritative sources, are also available as Map Packages for each U.S. State and can be downloaded from the Green Infrastructure Data Gallery.

This layer represents modeled Intact Habitat Cores, or minimally disturbed natural areas at least 100 acres in size and greater than 200 meters wide. Esri created these data following a methodology outlined by the Green Infrastructure Center Inc. These data were generated using 2011 National Land Cover Data. Cores were derived from all “natural” land cover classes and excluded all “developed” and “agricultural” classes including crop, hay and pasture lands. The resulting cores were tested for size and width requirements (at least 100 acres in size and greater than 200 meters wide) and then converted into unique polygons. This process resulted in the generation of over 550,000 cores. Cores were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to populate each core with attributes (53 in total) related to the landscape characteristics found within. These data were also compiled to compute a “core quality index”, or score related to the perceived ecological value of each core, to provide users with additional insight related to the importance of each core when compared to all others. See this map image layer for a version that includes popups and ability to query the data. The source data used to derive this attribution is as follows: Number of endemic species (Mammals, Fish, Reptiles, Amphibians, Trees) (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16)

Priority Index areas: Endemic species, small home range size and low protection status. (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16)

Unique ecological systems (based upon work by Aycrig, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.

Ecologically relevant landforms (Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning. PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619 ,

Local Landforms (produced 3/2016) by Deniz Basaran and Charlie Frye, Esri, 30 m* resolution. "Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, has been successfully submitted online and is presently being given consideration for publication in Transactions in GIS. *We scaled the neighborhood windows from the 250-meter method described in the paper, and then applied that to 30-meter data in the U.S.

National Elevation Dataset, USGS, 30 m resolution

NWI – National Wetlands Inventory “ Classification of Wetlands and Deepwater Habitats of the United States”. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31 , U.S. Fish and Wildlife Service, Division of Habitat and Resource Conservation (prepared 10/2015)

NLCD 2011 – National LandCover Database 2011 (downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354

NHDPlusV2 Received from Charlie Frye, Esri 3/2016. Produced by the EPA with support from the USGS.

gSSURGO –Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Accessed 3/2016, 30 m resolution

GAP Level 3 Ecological System Boundaries (downloaded 4/ 2016) NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change–downloaded by state (3/2016) from: C-CAP FTP Tool, see Description of this 30 m resolution, 2010 edition of data

NHD USGS National Hydrography Dataset

TNC Terrestrial Ecoregions (downloaded 3/2016)

2015 LCC Network Areas

Evaluation:

The creation of a national core quality index is a very ambitious objective, given the extreme variability in ecosystem conditions across the United States. The additional attributes were intended to provide flexibility in accommodating regional or local environmental differences across the U.S.

Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on Esri's Green Infrastructure web site.

Two general approaches were used in the developing core quality index values. The first (default) follows the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US where size of the core is the primary determinant of quality. The second; Bio-Weights puts more emphasis on bio-diversity and uniqueness ecosystem type and de-emphasizes slightly the importance of core size. This is to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.

Scoring values:

Default Weights

0.4, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.1, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.05, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)

Bio-Weights

0.2, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.25, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.1, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)

Source MXD: GICores_03_05_All_Cores.mxd