20220929 13180400 1.0 FALSE SpotfinChubPotentialHabitat 0.000 -564275.066562 1124353.443314 481490.572973 1138116.451648 1 002 https://www.arcgis.com/sharing/rest/content/items/bb5a255ec9c74c3ab780cd2fb22282e3/info/thumbnail/thumbnail1779912045823.png Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.5'><WKT>PROJCS["NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",2000000.002616666],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-79.0],PARAMETER["Standard_Parallel_1",34.33333333333334],PARAMETER["Standard_Parallel_2",36.16666666666666],PARAMETER["Latitude_Of_Origin",33.75],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2264]]</WKT><XOrigin>-121841900</XOrigin><YOrigin>-93659000</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102719</WKID><LatestWKID>2264</LatestWKID></ProjectedCoordinateSystem> NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet 20220928 11443200 20230202 14462300 625000 5000 ItemDescription ISO 19139 Metadata Implementation Specification SpotfinChubPotentialHabitat Feature Class 848 High, moderate and low potential habitat locations for Spotfin Chub in NC counties. NCDOT OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Mean Mean Double 8 0 0 Multiple random forest models were created using different data selection criteria (eg include or exclude low precision points, include or exclude reviewer desktop judgments, use raw environmental variables or composite indices, etc). Each model outputs a probability of suitable habitat value. Using all models passing statistical tests (>.6 for sensitivity, specificity, and Area under ROC Curve) Mean and Standard Deviation were calculated. Based on the mean, the thresholds for the bins (Low, Moderate, High probability) were calculated. NCDOT SD StandardDeviation Double 8 0 0 Multiple random forest models were created using different data selection criteria (eg include or exclude low precision points, include or exclude reviewer desktop judgments, use raw environmental variables or composite indices, etc). Each model outputs a probability of suitable habitat value. Using all models passing statistical tests (>.6 for sensitivity, specificity, and Area under ROC Curve) Mean and Standard Deviation were calculated. NCDOT Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. PotHabitat PotHabitat String 25 0 0 Model Output - Low, Moderate or High potential habitat NCDOT Low Low probability of Habitat NCDOT Mod Moderate probability of Habitat NCDOT High High probability of Habitat NCDOT No data No data available within USFWS area for species NCDOT dataset North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. 20230202 ArcGIS Metadata 1.0 North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. File Geodatabase Feature Class 10.5 Spotfin Chub - Potential Habitat, July 2022 - NC Department of Transportation 2022-02-25T00:00:00 2022-06-01T00:00:00 North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. <div style='text-align:Left;'><div><div>The Spotfin chub Potential Habitat dataset is a polygon layer depicting high, moderate and low potential habitat locations for Spotfin chub in NC counties.Spotfin chub's (Erimonax monachus) historical range included Alabama, Georgia, North Carolina, Tennessee, Virginia. The species’ preferred habitat is relatively low-silt substrates in good flows and it forages commonly on bedrock, boulders, cobble. In fall and winter, primarily young individuals will move up small trib streams from source mainstem populations (e.g., Little Tennessee R., NC). Spawning probably does not occur in small tribsThe three levels are: Low, Moderate, and High Probability of Potential Habitat (based on similarity of environmental conditions to those found at known occurrence locations). The category thresholds were set based on the distribution of predicted values for known habitat. The High-Moderate threshold is set at the level where 90% of the observed potential habitat (species presence and reviewer judgments) falls within the High category (Presence Percent Correctly Classified). The Moderate-Low threshold were set at the level where 8% of the observed potential habitat (species presence and reviewer judgments) falls within the Moderate category and 2% within the Low category. The final thresholds for this species are 0.336 and 0.57 for the Low-Moderate and Moderate-High thresholds, respectively. Lower thresholds result in more of the range labelled as High probability of habitat and greater misclassification of known non-habitat locations. Higher thresholds result in more of the range labelled as Low probability of habitat and greater misclassification of known habitat locations.Given the larger spatial unit of ecological models and ecological characteristics of aquatic species, the landscape scale environmental attributes of potential habitat varied greatly among sites and could closely resembled non-habitat sites. It is important to remember that potential habitat (and non-habitat) can occur at any classification level within a catchment and must be verified by a qualified biologist. For more information please click here <a href='https://xfer.services.ncdot.gov/gisdot/Metadata/Atlas/TechDocs/' style='text-decoration:underline;' rel='nofollow ugc'>https://xfer.services.ncdot.gov/gisdot/Metadata/Atlas/TechDocs/</a>Datasets developed under Project ATLAS do not replace any NRTR work for future projects and may not be used as a replacement for site visits / field surveys by qualified professionals and hence should be used only as a supporting platform for decision making. Use of this dataset for project scoping or screening is merely pre-decisional. <p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>Point of Contact:<p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>North Carolina Department of TransportationContact information: Katie Talavera. Modeling Team LeadMitigation & Modeling<p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><a href='mailto:cetalavera@ncdot.gov' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>cetalavera@ncdot.gov</a><p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>AGOL Publication Date:<p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>2/3/2023</div></div></div> This dataset was originally created in February 2022 as part of the Project ATLAS initiative at NCDOT to support the Environmental Analysis Unit (EAU) Mitigation and Modeling Unit with project delivery in the development phase. The Spotfin chub model is a Random Forest (machine-learning) model. Random Forest models were used to predict the probability of habitat at the scale of USGS National Hydrography Data (NHD Plus V2) catchments and their associated stream segments (median area: 272 acres; 5th and 95th percentile area: 4 acres and 1541 acres). This dataset supports the production of the Natural Resources Technical Report (NRTR). This dataset also contains information that may assist biologists in preparing background information for field surveys, in order to address protected species for Threatened & Endangered Species Survey Reports, and/or Biological Assessments. The model is intended to be used in project management tools to: 1. flag areas of higher versus lower risk of “May Affect” biological conclusions within a species range to improve project planning and management, and 2. add a landscape-scale perspective to improve biologists’ field planning and site assessment The Environmental Analysis Unit (EAU) Mitigation and Modeling Unit within NCDOT was tasked to create this dataset. This dataset supports the production of the Natural Resources Technical Report (NRTR). Maintenance of this dataset is handled by the EAU. Support and maintenance of the enterprise spatial database where this data resides is handled by NCDIT's Transportation GIS Unit. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. Maintenance of this dataset is handled by the Environmental Analysis Unit (EAU) Mitigation and Modeling Unit. Currently updating this dataset has not been planned. Support and maintenance of the enterprise spatial database where this data resides is handled by NCDIT's Transportation GIS Unit. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit User 2022-02-25T00:00:00 2022-06-01T00:00:00 North Carolina User 2022-02-25T00:00:00 2022-06-01T00:00:00 Spotfin Chub, Erimonax monachus, Erim_mona, Fish, Aquatic, threatened, critical habitat, random forest model, machine learning,Transportation, NRTR, NCDOT, Environment, Location, North Carolina, ATLAS, North Carolina Spotfin ChubErimonax monachusErim_monaFishAquaticthreatenedcritical habitatrandom forest modelmachine learningTransportationNRTRNCDOTEnvironmentLocationNorth CarolinaATLASNorth CarolinaNC The North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data. The North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data. None <DIV STYLE="text-align:Left;"><DIV><DIV>The North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.Datasets developed under Project ATLAS do not replace any NRTR work for future projects and may not be used as a replacement for site visits / field surveys by qualified professionals and hence should be used only as a supporting platform for decision making. Use of this dataset for project scoping or screening is merely pre-decisional.</DIV></DIV></DIV> Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 true -84.017454 -81.839144 35.022011 36.167407 Data collection is complete. true -84.422111 -75.416034 33.730557 36.617257 2022-06-01T00:00:00 2022-06-01T00:00:00 1 -87.741574 -81.925794 36.840496 34.769390 Maintenance of this dataset is handled by the Environmental Analysis Unit (EAU) Mitigation and Modeling Unit. Support and maintenance of the enterprise spatial database where this data resides is handled by NCDIT's Transportation GIS Unit. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit The North Carolina Department of Transportation shall not be held liable for any errors in this metadata. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data. Datasets developed under Project ATLAS do not replace any NRTR work for future projects and may not be used as a replacement for site visits / field surveys by qualified professionals and hence should be used only as a supporting platform for decision making. Use of this dataset for project scoping or screening is merely pre-decisional. None The North Carolina Department of Transportation shall not be held liable for any errors in this metadata. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.Datasets developed under Project ATLAS do not replace any NRTR work for future projects and may not be used as a replacement for site visits / field surveys by qualified professionals and hence should be used only as a supporting platform for decision making. Use of this dataset for project scoping or screening is merely pre-decisional. After processing, the dataset is checked for drawing display and number of records and file sizes compared with source materials. NCDOT Geospatial Data Specifications 2019-10-01T00:00:00 2021-06-17T00:00:00 Pass true The dataset is converted to file geodatabase (FGDB) format using tools in ArcGIS. The geometry is checked, and if needed repaired NCDOT Geospatial Data Specifications 2019-10-01T00:00:00 2021-06-17T00:00:00 Pass true In addition to direct species observations, expert judgments of habitat conditions (Potential Habitat versus Non-Habitat) were gathered through desktop and field rapid site assessments. Species experts provided feedback at two stages of model development. An early draft model was reviewed in ArcGIS Online. Completed via a desktop application, experts could scan and zoom to provide feedback on model performance based on their regional knowledge and any data layers they chose to add and view. Experts entered desktop assessments as high precision points (e.g., “this location is habitat or non-habitat”) and/or low precision polygons (e.g., "this region generally provides good habitat or nonhabitat). After further development, an improved model received field validation. Field validation consisted of a rapid visual site assessment to judge a stream segment as Potential Habitat versus Non-Habitat based on evidence of stream condition and, in some cases, observation of associated species. All field validation reviews were entered as highprecision line features denoting the stream section observed. In both reviews, time, knowledge, and/or access limitations prevented a true randomized design, but experts attempted to maximize the distribution of feedback spatially and across performance categories (True and False Positives, True and False Negatives) and to target areas with high uncertainty (high variance among models). Judgments vary in their spatial precision, including both polygons (low precision) and points and lines (high precision). Experts’ judgments identify some non-habitat locations, but these are in the minority. To ensure a balanced sample, additional catchments were randomly drawn as needed from the background (No Data catchments) to serve as pseudoabsence. Pseudoabsence catchments are unsurveyed catchments modeled treated as absence sites for the purposes of defining absence (versus presence) habitat characteristics. NCDOT Geospatial Data Specifications 2020-10-01T00:00:00 2021-06-17T00:00:00 Pass true All species’ models use occurrence data from the Natural Heritage Program (NHP Tier 2 data) and the NC Wildlife Resource Commission (NCPAWS data). Species occurrence observations identified as historic (extirpated) or older than 2000 are excluded from models, as are data with low spatial accuracy (e.g., NHP Accuracy “4-Low” or “5-Very Low”). NHP “3-Medium” accuracy observations were retained and labelled as Low precision and NHP 2-High and 1-Very High accuracy observations as High precision data. The occurrence data are presence-only and are not a randomized or representative sample from the species’ range. Models score any catchment with a current, moderate to high precision occurrence as “Potential Habitat”. Often multiple data records fell within a single catchment. For the purposes of modeling, to avoid pseudo-replication, duplicates were removed; each catchment was scored as potential habitat or non-habitat. Where a single catchment contained records of both potential habitat and non-habitat (OBSERVATION SET = “Conflict”), it was scored as habitat. Based on these decisions, the final model predicts the probability of any habitat within the catchment rather than the abundance of habitat within the catchment. With the available observation data (including pseudoabsence) 90 of the 1281 catchments were classified within the species expert delineated model range. The environmental data attributes included variables drawn from the US EPA StreamCat and the NHD Plus V2 data. From the available StreamCat data, 87 raw data variables plus 12 indices were extracted. The raw data variables primarily described local catchment characteristics across a spectrum of land cover, climatic, physiographic, hydrologic, chemical, geological, and disturbance metrics. A few of these variables provided data at finer (riparian only) and coarser (all upstream watershed area) scales. The 12 indices (six for the local catchment and six for the entire upstream watershed area) were calculated values summarizing multiple raw variables to represent the quality of aquatic habitat conditions. Geodatabase was forwarded on to the GIS Unit for publishing as part of data for project ATLAS. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. Data was reviewed in ESRI's Data Reviewer tool to verify geometry. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. Random Forest models were used to predict the probability of habitat at the scale of USGS National Hydrography Data (NHD Plus V2) catchments and their associated stream segments (median area: 272 acres; 5th and 95th percentile area: 4 acres and 1541 acres). Random Forest models generate predictions through repeated construction of decisiontree style models. At multiple points during model construction and assessment, the random forest process draws a random subset of habitat and non-habitat data and selects a random subset of the environmental variables by which to compare them. This randomization is beneficial to reduce overfitting of the models. The model procedure tracks (1) how frequently sites are predicted to be habitat vs non-habitat, (2) which variables contributed most to accurate classification of habitat vs non-habitat sites, and (3) overall statistics about model performance. The models were run in R primarily using functions from the randomForest and rfUtilities packages. Multiple random forest models were run, each initiated with a different suite of environmental (predictor) and habitat/non-habitat (response) data. Models meeting minimum performance criteria were averaged to produce a single predicted probability of habitat per catchment. These model suites included six core models, plus two additional models if associate species had been defined. “Full Set” refers to models initiated with the 87 raw environmental variables from StreamCat plus the NHD Plus environmental variables, while the “Index Set” refers to models initiated with StreamCat’s 12 calculated condition indices plus NHD Plus environmental variables. For the response variable, models were run with all species observations and expert judgments (“All Habitat Data”), run with only the verified target species observations (“No Reviewer Habitat Data”), run with only the high precision observations (excluding large generalized polygons from reviewer and observation sets) (“No Low Precision Data”), and run with all habitat data for the target species plus the current, high precision observations of associate species (“Plus Associates” for species with expert identified associates). • Full Set, All Habitat Data • Index Set, All Habitat Data • Full Set, No Reviewer Habitat Data • Index Set, No Reviewer Habitat Data • Full Set, No Low Precision Habitat Data • Index Set, No Low Precision Habitat Data • Full Set, Plus Associate Species Data • Index Set, Plus Associate Species Data The inclusion of reviewer data, low precision data, and/or associate species data did not always improve the models. Model statistical scores could be high, indicating good fit to available data, but fail to match experts’ expectations based on knowledge of regional habitat variability. Also, low precision comments (large polygons) often included mixed habitat, introducing more noise than signal to the training data. Throughout the analysis, aattemp was made to balance consideration of both statistical and expert assessment. Statistics to evaluate model performance: • Sensitivity (SENS): The proportion of known habitat correctly identified as Potential Habitat (true positive rate). • Specificity (SPEC): The proportion of known non-habitat (including pseudoabsence) correctly identified as Non-Habitat (true negative rate). • Area Under the Curve (AUC): A summary of overall model performance based on both sensitivity and specificity. • Cohen’s Kappa (KAPPA): A summary of overall model performance based on performance relative to a random classification. Individual models were accepted and carried forward if they achieved values of 0.6 or greater for sensitivity, specificity, and area under the curve. For this species, the models accepted and averaged to produce the final map and statistics were: FullSet, FullSetNoLow, FullSetNoRev, Indices, IndicesNoRev All statistical values are to be interpreted with caution as each has unique limitations. The most informative statistic depends on the intended application and the nature of the underlying data. North Carolina Department of Transportation - EAU Mitigation and Modeling Unit Environmental Program Consultant 919-707-6136 4101 Capital Boulevard Raleigh NC 27604 US ATLAS@ncdot.gov 9:00am – 5:00pm Monday - Friday Please send an email with any issues, questions or comments regarding the ATLAS Data Search Tool, ATLAS Screening Tool or ATLAS Workbench. If it is an immediate need, please call the contact number or indicate as such in the subject line in an email. 848 EPSG 6.12(9.0.0) Simple FALSE 848 TRUE FALSE 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