Analysis of ‘2018 CT Data Catalog (Non GIS)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/fe457197-5afe-4a20-a131-1bdcf9bd8ace on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Catalog of high value data inventories produced by Connecticut executive branch agencies and compiled by the Office of Policy and Management. This catalog does not contain information about high value GIS data, which is compiled in a separate data inventory at the following link: https://data.ct.gov/Government/CT-Data-Catalog-GIS-/p7we-na27

As required by Public Act 18-175, executive branch agencies must annually conduct a high value data inventory to capture information about the high value data that they collect.

High value data is defined as any data that the department head determines (A) is critical to the operation of an executive branch agency; (B) can increase executive branch agency accountability and responsiveness; (C) can improve public knowledge of the executive branch agency and its operations; (D) can further the core mission of the executive branch agency; (E) can create economic opportunity; (F) is frequently requested by the public; (G) responds to a need and demand as identified by the agency through public consultation; or (H) is used to satisfy any legislative or other reporting requirements.

This dataset was last updated 3/4/2019 and will continue to be updated as high value data inventories are submitted to OPM.

--- Original source retains full ownership of the source dataset ---

Road segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network. (From ESRI Local Government Model "RoadCenterline" Feature)**This dataset was significantly revised in August of 2014 to correct for street segments that were not properly split at intersections. There may be issues with using data based off of the original centerline file. ** The column Speed Limit was updated in November 2014 by the Transportation Intern and is believed to be accurate** The column One Way was updated in November of 2014 by core GIS and is believed to be accurate.[MAXIMOID] A unique id field used in a work order management software called Maximo by IBM. Maximo uses GIS CL data to assign locations to work orders using this field. This field is maintained by the Transportation GIS specialists and is auto incremented when new streets are digitized. For example, if the latest digitized street segment MAXIMOID = 999, the next digitized line will receive MAXIMOID = 1000, and so on. STREET NAMING IS BROKEN INTO THREE FIELDS FOR GEOCODING:PREFIX This field is attributed if a street name has a prefix such as W, N, E, or S.NAME Domain with all street names. The name of the street without prefix or suffix.ROAD_TYPE (Text,4) Describes the type of road aka suffix, if applicable. CAPCOG Addressing Guidelines Sec 504 U. states, “Every road shall have corresponding standard street suffix…” standard street suffix abbreviations comply with USPS Pub 28 Appendix C Street Abbreviations. Examples include, but are not limited to, Rd, Dr, St, Trl, Ln, Gln, Lp, CT. LEFT_LOW The minimum numeric address on the left side of the CL segment. Left side of CL is defined as the left side of the line segment in the From-To direction. For example, if a line has addresses starting at 101 and ending at 201 on its left side, this column will be attributed 101.LEFT_HIGH The largest numeric address on the left side of the CL segment. Left side of CL is defined as the left side of the line segment in the From-To direction. For example, if a line has addresses starting at 101 and ending at 201 on its left side, this column will be attributed 201.LOW The minimum numeric address on the RIGHT side of the CL segment. Right side of CL is defined as the right side of the line segment in the From-To direction. For example, if a line has addresses starting at 100 and ending at 200 on its right side, this column will be attributed 100.HIGHThe maximum numeric address on the RIGHT side of the CL segment. Right side of CL is defined as the right side of the line segment in the From-To direction. For example, if a line has addresses starting at 100 and ending at 200 on its right side, this column will be attributed 200.ALIAS Alternative names for roads if known. This field is useful for geocode re-matching. CLASSThe functional classification of the centerline. For example, Minor (Minor Arterial), Major (Major Arterial). THIS FIELD IS NOT CONSISTENTLY FILLED OUT, NEEDS AN AUDIT. FULLSTREET The full name of the street concatenating the [PREFIX], [NAME], and [SUFFIX] fields. For example, "W San Antonio St."ROWWIDTH Width of right-of-way along the CL segment. Data entry from Plat by Planning GIS Or from Engineering PICPs/ CIPs.NUMLANES Number of striped vehicular driving lanes, including turn lanes if present along majority of segment. Does not inlcude bicycle lanes. LANEMILES Describes the total length of lanes for that segment in miles. It is manually field calculated as follows (( [ShapeLength] / 5280) * [NUMLANES]) and maintained by Transportation GIS.SPEEDLIMIT Speed limit of CL segment if known. If not, assume 30 mph for local and minor arterial streets. If speed limit changes are enacted by city council they will be recorded in the Traffic Register dataset, and this field will be updating accordingly. Initial data entry made by CIP/Planning GIS and maintained by Transportation GIS.[YRBUILT] replaced by [DateBuilt] See below. Will be deleted. 4/21/2017LASTYRRECON (Text,10) Is the last four-digit year a major reconstruction occurred. Most streets have not been reconstructed since orignal construction, and will have values. The Transportation GIS Specialist will update this field. OWNER Describes the governing body or private entity that owns/maintains the CL. It is possible that some streets are owned by other entities but maintained by CoSM. Possible attributes include, CoSM, Hays Owned/City Maintained, TxDOT Owned/City Maintained, TxDOT, one of four counties (Hays, Caldwell, Guadalupe, and Comal), TxState, and Private.ST_FROM Centerline segments are split at their intersections with other CL segments. This field names the nearest cross-street in the From- direction. Should be edited when new CL segments that cause splits are added. ST_TO Centerline segments are split at their intersections with other CL segments. This field names the nearest cross-street in the To- direction. Should be edited when new CL segments that cause splits are added. PAV_WID Pavement width of street in feet from back-of-curb to back-of-curb. This data is entered from as-built by CIP GIS. In January 2017 Transportation Dept. field staff surveyed all streets and measured width from face-of-curb to face-of-curb where curb was present, and edge of pavement to edge of pavement where it was not. This data was used to field calculate pavement width where we had values. A value of 1 foot was added to the field calculation if curb and gutter or stand up curb were present (the face-of-curb to back-of-curb is 6 in, multiple that by 2 to find 1 foot). If no curb was present, the value enter in by the field staff was directly copied over. If values were already present, and entered from asbuilt, they were left alone. ONEWAY Field describes direction of travel along CL in relation to digitized direction. If a street allows bi-directional travel it is attributed "B", a street that is one-way in the From_To direction is attributed "F", a street that is one-way in the To_From direction is attributed "T", and a street that does not allow travel in any direction is attibuted "N". ROADLEVEL Field will be aliased to [MINUTES] and be used to calculate travel time along CL segments in minutes using shape length and [SPEEDLIMIT]. Field calculate using the following expression: [MINUTES] = ( ([SHAPE_LENGTH] / 5280) / ( [SPEEDLIMIT] / 60 ))ROWSTATUS Values include "Open" or "Closed". Describes whether a right-of-way is open or closed. If a street is constructed within ROW it is "Open". If a street has not yet been constructed, and there is ROW, it is "Cosed". UPDATE: This feature class only has CL geometries for "Open" rights-of-way. This field should be deleted or re-purposed. ASBUILT field used to hyper link as-built documents detailing construction of the CL. Field was added in Dec. 2016. DateBuilt Date field used to record month and year a road was constructed from Asbuilt. Data was collected previously without month information. Data without a known month is entered as "1/1/YYYY". When month and year are known enter as "M/1/YYYY". Month and Year from asbuilt. Added by Engineering/CIP. ACCEPTED Date field used to record the month, day, and year that a roadway was officially accepted by the City of San Marcos. Engineering signs off on acceptance letters and stores these documents. This field was added in May of 2018. Due to a lack of data, the date built field was copied into this field for older roadways. Going forward, all new roadways will have this date. . This field will typically be populated well after a road has been drawn into GIS. Entered by Engineering/CIP. ****In an effort to make summarizing the data more efficient in Operations Dashboard, a generic date of "1/1/1900" was assigned to all COSM owned or maintained roads that had NULL values. These were roads that either have not been accepted yet, or roads that were expcepted a long time ago and their accepted date is not known. WARRANTY_EXP Date field used to record the expiration date of a newly accepted roadway. Typically this is one year from acceptance date, but can be greater. This field was added in May of 2018, so only roadways that have been excepted since and older roadways with valid warranty dates within this time frame have been populated.

Analysis of ‘2019 CT Data Catalog (GIS)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/168eaac6-5f52-4015-be99-93031db2fd0d on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Catalog of high value data inventories produced by Connecticut executive branch agencies and compiled by the Office of Policy and Management, updated in 2019. This catalog contains information on high value GIS data only. A catalog of high value non-GIS data may be found at the following link: https://data.ct.gov/Government/2019-CT-Data-Catalog-Non-GIS-/f6rf-n3ke

As required by Public Act 18-175, executive branch agencies must annually conduct a high value data inventory to capture information about the high value data that they collect.

High value data is defined as any data that the department head determines (A) is critical to the operation of an executive branch agency; (B) can increase executive branch agency accountability and responsiveness; (C) can improve public knowledge of the executive branch agency and its operations; (D) can further the core mission of the executive branch agency; (E) can create economic opportunity; (F) is frequently requested by the public; (G) responds to a need and demand as identified by the agency through public consultation; or (H) is used to satisfy any legislative or other reporting requirements.

This dataset was last updated 2/3/2020 and will continue to be updated as high value data inventories are submitted to OPM.

The 2018 high value data inventories for Non-GIS and GIS data can be found at the following links: CT Data Catalog (Non GIS): https://data.ct.gov/Government/CT-Data-Catalog-Non-GIS-/ghmx-93jn/ CT Data Catalog (GIS): https://data.ct.gov/Government/CT-Data-Catalog-GIS-/p7we-na27 Less

--- Original source retains full ownership of the source dataset ---

This dataset is a compilation of address point data for the City of Tempe. The dataset contains a point location, the official address (as defined by The Building Safety Division of Community Development) for all occupiable units and any other official addresses in the City. There are several additional attributes that may be populated for an address, but they may not be populated for every address. Contact: Lynn Flaaen-Hanna, Development Services Specialist Contact E-mail Link: Map that Lets You Explore and Export Address Data Data Source: The initial dataset was created by combining several datasets and then reviewing the information to remove duplicates and identify errors. This published dataset is the system of record for Tempe addresses going forward, with the address information being created and maintained by The Building Safety Division of Community Development. Data Source Type: ESRI ArcGIS Enterprise Geodatabase Preparation Method: N/A Publish Frequency: Weekly Publish Method: Automatic Data Dictionary

ACEC_HIST_ARC: This data set shows the boundary lines for Areas of Critical Environmental Concern under BLM management in Oregon and Washington. The district Data Steward will define the ACEC boundary and work with the GIS specialist to ensure that the appropriate GIS coordinate sources are used and that only federal land is included. Prior representations of approved ACEC are placed into the historic data set.

CAL FIRE's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, the National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

This app contains three pages of maps and documentation of the historical fire perimeter metadata:

Historical Fire Perimeters: The landing page highlights the recent large fires (≥5,000 acres) on a backdrop of all of the dataset's documented fire perimeters dating back to 1878. This map includes perimeters symbolized by decade, county boundaries, California Vegetation, and NAIP imagery back to 2005. This page provides users the ability to add their own data or filter the fire perimeter data. It cleanly lists fire perimeters shown on the map with their name, year, and GIS calculated acreage. The user can navigate to the CAL FIRE current incident webpage or provide comments to the dataset's steward.

Times Burned: The second page provides a map showing an analysis performed annually on the fire perimeter dataset to show case burn frequency from 1950 to present for fires greater than one acre.

Fire Across Time: This third page provides a time enabled layer of the fire perimeter dataset, featuring a time slider to allow users to view the perimeter dataset across time.

The final page provides the user with the dataset's metadata, including its most current data dictionary.

For any questions, please contact the data steward:

Kim Wallin, GIS Specialist

CAL FIRE, Fire & Resource Assessment Program (FRAP)

kimberly.wallin@fire.ca.gov

The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

Please help improve this dataset by filling out this survey with feedback:

Historic Fire Perimeter Dataset Feedback (arcgis.com)

Current criteria for data collection are as follows:

CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

All cooperating agencies submit perimeters ≥10 acres.

Version update:

Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.

Includes separate layers filtered by criteria as follows:

California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.

Detailed metadata is included in the following documents:

Wildland Fire Perimeters (Firep24_1) Metadata

For any questions, please contact the data steward:

Kim Wallin, GIS Specialist

CAL FIRE, Fire & Resource Assessment Program (FRAP)

kimberly.wallin@fire.ca.gov

The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

Please help improve this dataset by filling out this survey with feedback:

Historic Fire Perimeter Dataset Feedback (arcgis.com)

Current criteria for data collection are as follows:

CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

All cooperating agencies submit perimeters ≥10 acres.

Version update:

Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.

Includes separate layers filtered by criteria as follows:

California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.

Detailed metadata is included in the following documents:

Wildland Fire Perimeters (Firep24_1) Metadata

For any questions, please contact the data steward:

Kim Wallin, GIS Specialist

CAL FIRE, Fire & Resource Assessment Program (FRAP)

kimberly.wallin@fire.ca.gov

Analysis of ‘Regularly scheduled tow-away zone GIS data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/97054e35-2ad3-4c9d-aec2-91a4368ef4fe on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains locations and schedules of regular tow-away zones which apply at the blockface-level in San Francisco. It does not include temporary street closures which could result in towing. The dataset contains:Geospatial information for blockfaces with known tow schedulesTow schedules with starting and ending hours and days applicableAddress ranges for the blockface segmentThe centerline identifier of the street segment on which the blockface occursNotes, if known, to enhance the information about the regulation.

This dataset was compiled in October and November of 2011. It reflects legislated changes through November 1, 2011. It is at least 95% accurate and may not include all blockface-level tow-away zones with regular, weekly schedules. Please email corrections or discrepancies to info@sfpark.org. Always look for signage near your parking space and follow posted regulations to avoid parking citations and possible towage. See http://sfpark.org/resources/regularly-scheduled-tow-away-zone-gis-data/ for more.

--- Original source retains full ownership of the source dataset ---

This dataset represents point locations of cities and towns in Arizona. The data contains point locations for incorporated cities, Census Designated Places and populated places. Several data sets were used as inputs to construct this data set. A subset of the Geographic Names Information System (GNIS) national dataset for the state of Arizona was used for the base location of most of the points. Polygon files of the Census Designated Places (CDP), from the U.S. Census Bureau and an incorporated city boundary database developed and maintained by the Arizona State Land Department were also used for reference during development. Every incorporated city is represented by a point, originally derived from GNIS. Some of these points were moved based on local knowledge of the GIS Analyst constructing the data set. Some of the CDP points were also moved and while most CDP's of the Census Bureau have one point location in this data set, some inconsistencies were allowed in order to facilitate the use of the data for mapping purposes. Population estimates were derived from data collected during the 2010 Census. During development, an additional attribute field was added to provide additional functionality to the users of this data. This field, named 'DEF_CAT', implies definition category, and will allow users to easily view, and create custom layers or datasets from this file. For example, new layers may created to include only incorporated cities (DEF_CAT = Incorporated), Census designated places (DEF_CAT = Incorporated OR DEF_CAT = CDP), or all cities that are neither CDP's or incorporated (DEF_CAT= Other). This data is current as of February 2012. At this time, there is no planned maintenance or update process for this dataset.This data is created to serve as base information for use in GIS systems for a variety of planning, reference, and analysis purposes. This data does not represent a legal record.

The Sheeprocks (UT) was revised to resync with the UT habitat change as reflected in the Oct 2017 habitat data, creating the most up-to-date version of this dataset. Data submitted by Wyoming in February 2018 and by Montana and Oregon in May 2016 were used to update earlier versions of this feature class. The biologically significant unit (BSU) is a geographicalspatial area within Greater Sage-Grouse habitat that contains relevant and important habitats which is used as the basis for comparative calculations to support evaluation of changes to habitat. This BSU unit, or subset of this unit is used in the calculation of the anthropogenic disturbance threshold and in the adaptive management habitat trigger. BSU feature classes were submitted by individual statesEISs and consolidated by the Wildlife Spatial Analysis Lab. They are sometimes referred to as core areascore habitat areas in the explanations below, which were consolidated from metadata submitted with BSU feature classes. These data provide a biological tool for planning in the event of human development in sage-grouse habitats. The intended use of all data in the BLMs GIS library is to support diverse activities including planning, management, maintenance, research, and interpretation. While the BSU defines the geographic extent and scale of these two measures, how they are calculated differs based on the specific measures to reflect appropriate assessment and evaluation as supported by scientific literature.

    There are 10 BSUs for the Idaho and Southwestern Montana GRSG EIS sub-region. For the Idaho and Southwestern Montana Greater Sage-Grouse Plan Amendment FEIS the biologically significant unit is defined as: a geographicalspatial area within greater sage-grouse habitat that contains relevant and important habitats which is used as the basis for comparative calculations to support evaluation of changes to habitat. Idaho: BSUs include all of the Idaho Fish and Game modeled nesting and delineated winter habitat, based on 2011 inventories within Priority andor Important Habitat Management Area (Alternative G) within a Conservation Area. There are eight BSUs for Idaho identified by Conservation Area and Habitat Management Area: Idaho Desert Conservation Area - Priority, Idaho Desert Conservation Area - Important, Idaho Mountain Valleys Conservation Area - Priority, Idaho Mountain Valleys Conservation Area - Important, Idaho Southern Conservation Area - Priority, Idaho Southern Conservation Area - Important, Idaho West Owyhee Conservation Area - Priority, and Idaho West Owyhee Conservation Area - Important. Raft River : Utah portion of the Sawtooth National Forest, 1 BSU. All of this areas was defined as Priority habitat in Alternative G. Raft River - Priority.

    Montana: All of the Priority Habitat Management Area. 1 BSU. SW Montana Conservation Area - Priority. Montana BSUs were revised in May 2016 by the MT State Office. They are grouped together and named by the Population in which they are located: Northern Montana, Powder River Basin, Wyoming Basin, and Yellowstone Watershed. North and South Dakota BSUs have been grouped together also.

    California and Nevadas BSUs were developed by Nevada Department of Wildlifes Greater Sage-Grouse Wildlife Staff Specialist and Sagebrush Ecosystem Technical Team Representative in January 2015. Nevadas Biologically Significant Units (BSUs) were delineated by merging associated PMUs to provide a broader scale management option that reflects sage grouse populations at a higher scale. PMU boundarys were then modified to incorporate Core Management Areas (August 2014; Coates et al. 2014) for management purposes. (Does not include Bi-State DPS.) 

    Within Colorado, a Greater Sage-Grouse GIS data set identifying Preliminary Priority Habitat (PPH) and Preliminary General Habitat (PGH) was developed by Colorado Parks and Wildlife. This data is a combination of mapped grouse occupied range, production areas, and modeled habitat (summer, winter, and breeding). PPH is defined as areas of high probability of use (summer or winter, or breeding models) within a 4 mile buffer around leks that have been active within the last 10 years. Isolated areas with low activity were designated as general habitat. PGH is defined as Greater sage-grouse Occupied Range outside of PPH. Datasets used to create PPH and PGH: Summer, winter, and breeding habitat models. Rice, M. B., T. D. Apa, B. L. Walker, M. L. Phillips, J. H. Gammonly, B. Petch, and K. Eichhoff. 2012. Analysis of regional species distribution models based on combined radio-telemetry datasets from multiple small-scale studies. Journal of Applied Ecology in review. Production Areas are defined as 4 mile buffers around leks which have been active within the last 10 years (leks active between 2002-2011). Occupied range was created by mapping efforts of the Colorado Division of Wildlife (now Colorado Parks and Wildlife –CPW) biologists and district officers during the spring of 2004, and further refined in early 2012. Occupied Habitat is defined as areas of suitable habitat known to be used by sage-grouse within the last 10 years from the date of mapping. Areas of suitable habitat contiguous with areas of known use, which do not have effective barriers to sage-grouse movement from known use areas, are mapped as occupied habitat unless specific information exists that documents the lack of sage-grouse use. Mapped from any combination of telemetry locations, sightings of sage grouse or sage grouse sign, local biological expertise, GIS analysis, or other data sources. This information was derived from field personnel. A variety of data capture techniques were used including the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing atvarious scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Update August 2012: This dataset was modified by the Bureau of Land Management as requested by CPW GIS Specialist, Karin Eichhoff. Eichhoff requested that this dataset, along with the GrSG managment zones (population range zones) dataset, be snapped to county boundaries along the UT-CO border and WY-CO border. The county boundaries dataset was provided by Karin Eichhoff. In addition, a few minor topology errors were corrected where PPH and PGH were overlapping. Update October 10, 2012: NHD water bodies greater than 100 acres were removed from GrSG habitat, as requested by Jim Cagney, BLM CO Northwest District Manager. 6 water bodies in total were removed (Hog Lake, South Delaney, Williams Fork Reservoir, North Delaney, Wolford Mountain Reservoir (2 polygons)). There were two “SwampMarsh†polygons that resulted when selecting polygons greater than 100 acres; these polygons were not included. Only polygons with the attribute “LakePond†were removed from GrSG habitat. Colorado Greater Sage Grouse managment zones based on CDOW GrSG_PopRangeZones20120609.shp. Modified and renumbered by BLM 06092012. The zones were modified again by the BLM in August 2012. The BLM discovered areas where PPH and PGH were not included within the zones. Several discrepancies between the zones and PPH and PGH dataset were discovered, and were corrected by the BLM. Zones 18-21 are linkages added as zones by the BLM. In addition to these changes, the zones were adjusted along the UT-CO boundary and WY-CO boundary to be coincident with the county boundaries dataset. This was requested by Karin Eichhoff, GIS Specialist at the CPW. She provided the county boundaries dataset to the BLM. Greater sage grouse GIS data set identifying occupied, potential and vacantunknown habitats in Colorado. The data set was created by mapping efforts of the Colorado Division of Wildlife biologist and district officers during the spring of 2004, and further refined in the winter of 2005. Occupied Habitat: Areas of suitable habitat known to be used by sage-grouse within the last 10 years from the

These data are used to display the public recreational facilities at all Colorado Parks and Wildlife owned properties. The original intent of these data were to show facilities at a park level scale. Over time, this has evolved to be a more comprehensive collection of all recreation facilities - as GIS technology has advanced to allow improved labelling / display of features. Data is being compiled at CPW Area offices in consultation with local Property Technicians and Field Ops staff using high resolution aerial photography (NAIP05, NAIP09) as a reference and at a scale where structures could be visually identified by Chris Johnson. These data were originally combined from individual park shapefiles in 2010 by Bill Gaertner, under the direction of Matt Schulz, Parks GIS Coordinator. Since then, Eric Drummond, temp Trails GIS Specialist, vastly improved upon the ability to use a unique CPW font and the Maplex label engine to have dynamic labelling of standard recreation facility symbols.

Initial attack frequency zones are used by pilots and dispatchers for purposes of response to incidents such as wildland fires. Initial attack frequency zones are agreed upon annually by the Communications Duty Officer at the National Interagency Fire Center (NIFC), other frequency managers, and the FAA, and can't be changed during the year without required approval from the CDO at NIFC. Each zone has assigned to it FAA-issued frequencies that are to be used only within the zone boundary. The initial attack frequency zones are delineated to help ensure that frequencies used do not "bleed" over into other incident areas and causing issues for incident communications. The data contains no actual frequencies, but does contain the zones in which they are used. 01/12/2023 - Tabular changes only. Oregon Initial Attack Frequency Zones renumbered per Kim Albracht, Communications Duty Officer, with input from other Northwest personnel. Edits by JKuenzi, USFS. Changes are as follows:OR09 changed to OR02OR02 changed to OR03OR03 changed to OR04OR04 changed to OR05OR05 changed to OR07OR07 changed to OR08OR08 changed to OR09OR01 and OR06 remained unchanged.01/10/2023 - Geospatial and tabular changes made. Two islands on west side of OR05 absorbed into OR03. Change made to both Initial Attack Frequency Zones-Federal and to Dispatch Boundaries per Kaleigh Johnson (Asst Ctr Mgr), Jada Altman (Dispatch Ctr Mgr), and Jerry Messinger (Air Tactical Group Supervisor). Edits by JKuenzi, USFS. 01/09/2023 - Geospatial and tabular changes to align Federal Frequency Zones to Dispatch Area boundaries in Northwest GACC. No alignments made to USWACAC, USWAYAC, or USORWSC. Changes approved by Ted Pierce (NW Deputy Coordination Ctr Mgr), Kaleigh Johnson (Assistant Ctr Mgr), and Kim Albracht (Communications Duty Officer). Edits by JKuenzi, USFS. Specific changes include: WA02 changed to WA04. New WA02 carved out of WA01 and OR01. OR09 carved out of OR01 and OR02. Boundary adjustments between OR07, OR05, and OR03.11/8/2022 - Geospatial and tabular changes. Boundary modified between Big Horn and Rosebud Counties of MT07 and MT08 per KSorenson and KPluhar. Edits by JKuenzi, USFS. 09/06/2022-09/26/2022 - Geospatial and tabular changes in accordance with proposed GACC boundary re-alignments between Southern California and Great Basin in the state of Nevada. Boundary modified between CA03 and NV03, specifically between Queen Valley and Mono Valley. The team making the changes is made up of Southern Calif (JTomaselli) and Great Basin (GDingman) GACCs, with input from Ian Mills and Lance Rosen (BLM). Changes proposed will be put into effect for the 2023 calendar year, and will also impact alignments of GACC boundaries and Dispatch boundaries in the area described. Initial edits provided by Ian Mills and Daniel Yarborough. Final edits by JKuenzi, USFS. A description of the change is as follows: The northwest end of changes start approximately 1 mile west of Mt Olsen and approximately 0.5 mile south of the Virginia Lakes area.Head northwest passing on the northeast side of Red Lake and the south side of Big Virginia Lake to follow HWY 395 North east to CA 270.East through Bodie to the CA/NV state line.Follows the CA/NV State Line south to HWY CA 167/NV 359.East on NV359 to where the HWY intersects the corner of FS/BLM land.Follows the FS/BLM boundary to the east and then south where it ties into the current GACC boundary. 09/07/2022 - 09/08/2022 - Tabular and geospatial changes. Multiple boundaries modified in Northern Rockies GACC to bring Dispatch Boundaries and Initial Attack Frequency Zone lines closer in accordance with State boundaries. Information provided by Don Copple, State Fire Planning & Intelligence Program Manager for Montana Dept of Natural Resources & Conservation (DNRC), Kathy Pipkin, Northern Rockies GACC Center Manager, and Kat Sorenson, R1 Asst Aircraft Coordinator. Edits by JKuenzi, USFS. The following changes were made:Initial Attack Frequency Zone changes made to the following: Dillon Interagency Dispatch Ctr (USMTDDC) (MT03), Helena Interagency Dispatch Ctr (USMTHDC) (MT04), Lewistown Interagency Dispatch Ctr (USMTLEC) (MT06), and Missoula Interagency Dispatch Ctr (USMTMDC) (MT02).Talk was also directed to removing the Initial Attack Frequency Zone line between MT05 and MT07, but that currently remains unchanged until Telecommunications (Kimberly Albracht) can get approval from the Frequency Managers and the FAA.10/15/2021 - Geospatial and tabular changes. Boundary alignments for the Duck Valley Reservation in southern Idaho along the Nevada border. Changes impacting ID02 and NV01. The Duck Valley Reservation remains within NV01. The only change was to the alignment of the physical boundary surrounding the Reservation in accordance with the boundary shown on the 7.5 minute quadrangle maps and data supplied by CClay/JLeguineche/Gina Dingman-USFS Great Basin Coordination Center (GBCC) Center Manager. Edits by JKuenzi, USFS. 9/30/2021 - Geospatial and tabular changes. Boundary alignments for Idaho on Hwy 95 NE of Weiser between Boise Dispatch Center and Payette Interagency Dispatch Center - per CClay/JLeguineche/Gina Dingman-USFS Great Basin Coordination Center (GBCC) Center Manager. Edits by JKuenzi, USFS. Boundary changes at: Weiser (T11N R5W Sec 32), (T11N, R5W, Sec 3), (T12N R5W, Sec 25), and Midvale.9/21/2021 - Geospatial and tabular changes in accordance with proposed GACC boundary re-alignments between Southwestern and Southern GACCs where a portion of Texas, formerly under Southwestern GACC direction was moved to the Southern GACC. Changes to Federal Initial Attack Frequency Zones by Kim Albracht, Communications Duty Officer (CDO) include the following: State designation TXS06 changed to federal TX06.State designation TXS05 changed to federal TX05.State designation TXS04 changed to federal TX04.State designation TXS03 changed to federal TX03.State designation TXS02 changed to federal TX02.State designation TXS01 changed to federal TX01.The Oklahoma Panhandle, formerly TXS01 changed to OK04.All changes proposed for implementation starting in January 2022. Edits by JKuenzi, USFS. See also data sets for Geographic Area Coordination Centers (GACC), and Dispatch Boundary for related changes.8/17/2021 - Tabular changes only. As part of GACC realignment for 2022, area changed from state designation TXS01 to federal TX01 per Kim Albracht, Communications Duty Officer (CDO) at National Interagency Fire Center (NIFC). Edits by JKuenzi, USFS. 2/19/2021 - Geospatial and tabular changes. Boundary changes for Idaho originally submitted in 2016 but never completed in entirety. Changes between Initial Attack Zones ID01 and ID02 and with Dispatch Boundaries - per Chris Clay-BLM Boise, DeniseTolness-DOI/BLM ID State Office GIS Specialist, and Gina Dingman-USFS Great Basin Coordination Center (GBCC) Center Manager. Edits by JKuenzi, USFS. Boundary changes at: (T13N R3E Sec 25), (T15N R3E Sec 31), (T16N R3E Sec 18-20, and 30), and (T16N R2E Sec 13) all from ID02 to ID01. (T10N R4E Sec 4-9,17-18, 20) and (T11N R4E Sec15-16, 21-22, 27-29, 34-31) from ID01 to ID02. 11/10/2020 - Michigan split from MI01 only, to MI01(Upper Penninsula) and MI02 in the south, per Kim Albracht, Communications Duty Officer. No change made to Dispatch Zone Boundary. Edits by JKuenzi. 11/4/2020 - Oregon OR07 divided into OR07 and OR08 per Kim Albracht, Communications Duty Officer. Edits by JKuenzi.10/26/2020 - Multiple boundary changes made to Federal Initial Attack Zones, but without any change to Dispatch Zone Boundaries: Raft River District of Sawtooth National Forest changed from UT01 to ID04; land east of Black Pine District of Sawtooth National Forest changed from ID05 to ID04. Direction from Denise Tolness, DOI/BLM GIS Specialist, and Gina Dingman, Great Basin Coordination Center Manager. Parts of Craters of the Moon National Monument changed from ID04 to ID05; Sheep Mountain (Red Rocks) area changed from MT03 to ID05, per Denise Tolness, Gina Dingman, and Kathryn "Kat" Sorenson, R1 Assistant Aircraft Coordinator. Edits for all changes made by JKuenzi.4/2/2020 - State owned land added and a portion of the boundary modified between MT01 and MT02 per Mike J Gibbons, Flathead Dispatch Center Mgr, and Kathryn "Kat" Sorenson, R1 Assistant Aircraft Coordinator. Edits by JKuenzi.2/21/2020 - Existing boundaries are updated, where possible, to a uniform base layer using the August 2019 Census State & County boundaries, along with Geographic Area Command Center boundaries, Dispatch Zone Boundaries, and Initial Attack State Zones. Edits by JKuenzi.2019-2020 - Initial Attack Frequency Zone data was provided by Kim Albracht, Acting and Permanent Communications Duty Officer (CDO) at National Interagency Fire Center (NIFC), and maintained by Jill Kuenzi, USFS Fire & Aviation Mgt Geospatial Coordinator, NIFC, Boise, ID. Efforts made to tie changes with the Initial Attack Frequency Zones to other closely related datasets such as Geospatial Area Command Centers (GACCs),and Dispatch Areas, Major work completed to bring all the datasets up to date on consistent base data (8/2019 Census data), into alignment where possible, and to establish a scheduled update cycle for the nation. 2017-2019 - Initial Attack Frequency Zone data was provided by Gary Stewart, Communications Duty Officer (CDO) at National Interagency Fire Center (NIFC), and maintained by Jill Kuenzi, USFS Fire & Aviation Mgt Geospatial Coordinator, NIFC, Boise, ID.2015-2016 - Initial Attack Frequency Zone data was provided by Gary Stewart, Communications Duty Officer (CDO) at National Interagency Fire Center (NIFC), and maintained by Dianna Sampson, BLM Geospatial Data Analyst, NIFC, Boise, ID.

The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

Please help improve this dataset by filling out this survey with feedback:

Historic Fire Perimeter Dataset Feedback (arcgis.com)

Current criteria for data collection are as follows:

CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

All cooperating agencies submit perimeters ≥10 acres.

Version update:

Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.

Includes separate layers filtered by criteria as follows:

California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.

Detailed metadata is included in the following documents:

Wildland Fire Perimeters (Firep24_1) Metadata

For any questions, please contact the data steward:

Kim Wallin, GIS Specialist

CAL FIRE, Fire & Resource Assessment Program (FRAP)

kimberly.wallin@fire.ca.gov

This dataset contains 50-ft contours for the Hot Springs shallowest unit of the Ouachita Mountains aquifer system potentiometric-surface map. The potentiometric-surface shows altitude at which the water level would have risen in tightly-cased wells and represents synoptic conditions during the summer of 2017. Contours were constructed from 59 water-level measurements measured in selected wells (locations in the well point dataset). Major streams and creeks were selected in the study area from the USGS National Hydrography Dataset (U.S. Geological Survey, 2017), and the spring point dataset with 18 spring altitudes calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological Survey, 2016). After collecting, processing, and plotting the data, a potentiometric surface was generated using the interpolation method Topo to Raster in ArcMap 10.5 (Esri, 2017a). This tool is specifically designed for the creation of digital elevation models and imposes constraints that ensure a connected drainage structure and a correct representation of the surface from the provided contour data (Esri, 2017a). Once the raster surface was created, 50-ft contour interval were generated using Contour (Spatial Analyst), a spatial analyst tool (available through ArcGIS 3D Analyst toolbox) that creates a line-feature class of contours (isolines) from the raster surface (Esri, 2017b). The Topo to Raster and contouring done by ArcMap 10.5 is a rapid way to interpolate data, but computer programs do not account for hydrologic connections between groundwater and surface water. For this reason, some contours were manually adjusted based on topographical influence, a comparison with the potentiometric surface of Kresse and Hays (2009), and data-point water-level altitudes to more accurately represent the potentiometric surface. Select References: Esri, 2017a, How Topo to Raster works—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/how-topo-to-raster-works.htm. Esri, 2017b, Contour—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro Raster Surface toolset at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/contour.htm. Kresse, T.M., and Hays, P.D., 2009, Geochemistry, Comparative Analysis, and Physical and Chemical Characteristics of the Thermal Waters East of Hot Springs National Park, Arkansas, 2006-09: U.S. Geological Survey 2009–5263, 48 p., accessed November 28, 2017, at https://pubs.usgs.gov/sir/2009/5263/. U.S. Geological Survey, 2015, USGS NED 1 arc-second n35w094 1 x 1 degree ArcGrid 2015, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html. U.S. Geological Survey, 2016, USGS NED 1 arc-second n35w093 1 x 1 degree ArcGrid 2016, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html.

Please help improve this dataset by filling out this survey with feedback:Historic Fire Perimeter Dataset Feedback (arcgis.com)Current criteria for data collection are as follows:CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.All cooperating agencies submit perimeters ≥10 acres.Version update:Firep23_1 was released in May 2024. Two hundred eighty four fires from the 2023 fire season were added to the database (21 from BLM, 102 from CAL FIRE, 72 from Contract Counties, 19 from LRA, 9 from NPS, 57 from USFS and 4 from USFW). The 2020 Cottonwood fire, 2021 Lone Rock and Union fires, as well as the 2022 Lost Lake fire were added. USFW submitted a higher accuracy perimeter to replace the 2022 River perimeter. Additionally, 48 perimeters were digitized from an historical map included in a publication from Weeks, d. et al. The Utilization of El Dorado County Land. May 1934, Bulletin 572. University of California, Berkeley. Two thousand eighteen perimeters had attributes updated, the bulk of which had IRWIN IDs added. A duplicate 2020 Erbes perimeter was removed. The following fires were identified as meeting our collection criteria, but are not included in this version and will hopefully be added in the next update: Big Hill #2 (2023-CAHIA-001020). YEAR_ field changed to a short integer type. San Diego CAL FIRE UNIT_ID changed to SDU (the former code MVU is maintained in the UNIT_ID domains). COMPLEX_INCNUM renamed to COMPLEX_ID and is in process of transitioning from local incident number to the complex IRWIN ID. Perimeters managed in a complex in 2023 are added with the complex IRWIN ID. Those previously added will transition to complex IRWIN IDs in a future update.Includes separate layers filtered by criteria as follows:California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale. Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2019-2023), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-present. Symbolized by decade, and display starting at country level scale.Detailed metadata is included in the following documents:Wildland Fire Perimeters (Firep23_1) Metadata For any questions, please contact the data steward:Kim Wallin, GIS Specialist

Analysis of ‘PLACES: ZCTA Data (GIS Friendly Format), 2020 release’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3f03eb36-0c56-4347-9054-257176c84559 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.

--- Original source retains full ownership of the source dataset ---

Geographic points depicting the locations of Dispatch Centers within Tier 1, 2, and 3 Dispatch Areas across the nation. Tier 1 refers to the National Interagency Coordination Center (NICC) which administers the entire country. Tier 2 are the Geographic Area Coordination Centers (GACCs). Tier 3 are the Local Dispatch Centers. Depending on availability of addresses, points may represent actual Dispatch Center offices or only the general city in which the center exists. If no address is listed in the DispAddress field, the location is specific to the city only and not to an address.07/08/2022 - Tabular change only. DispName corrected from "Columbia Cascades Communication Center" to "Columbia Cascade Communication Center" , per Desraye Assali, R6 Fire and Aviation GIS Coordinator. Edits by JKuenzi, USFS.5/5/2022 - Geospatial and tabular changes. Removal of Wellpinit, WA. Change was made to National Dispatch Boundary in 10/27/2021, to combine USWASAC with USWANEC, but removal of corresponding Dispatch Center was missed. Change verified by Ted Pierce, NW GACC Deputy Center Coordinator and Jill Jones, NE Washington Interagency Communications Center Mgr with Washington DNR. Edits by JKuenzi. 04/29/2022 - Tabular change only. Address of Colville Agency Dispatch (USWACAC) changed from "90 Polman Rd" to "90 Mount Tolman Rd". Information provided by Jill Jones, Interagency Dispatch Center Mgr for NE Washington Interagency Comm Center, and verified by call to USWACAC. No other changes made - locations and phone number were already correct. Edits by JKuenzi.04/04/2022 - Tabular changes only. Name change in Southern California from Monte Vista Interagency Center (USCAMVIC) to San Diego Interagency Center (USCASDIC) per James Tomaselli, Southern California Geographical Area Coordination Center Manager. Edits by JKuenzi. Following discussion between NRCC (Northern Rockies Geographic Area Coordination Center), USMTBZC in Bozeman, MT, and USMTBDC in Billings, MT, plans to merge Bozeman into Billings anticipated to start 4/18/2022, but will transition throughout 2022 year and be finalized on or near January 2023. USMTBZC (Bozeman Interagency Dispatch Center Office) was removed from the data earlier, but the effective start date of the implementation has been delayed from earlier expectations. Information provided by Kathy Pipkin, Northern Rockies Center Manager, and Kat Sorenson, R1 Asst Aircraft Coordinator. Edits by JKuenzi. 03/11/2022 - Geospatial and tabular changes. Information provided by Kathy Pipkin, Northern Rockies Center Manager, and Kat Sorenson, R1 Asst Aircraft Coordinator. Edits by JKuenzi.USMTBZC (Bozeman Interagency Dispatch) was absorbed into USMTBDC (Billings Interagency Dispatch). USMTBZC in Bozemen, MT, was removed . Change expected to go into effect on 3/31/2022. Rocky Boy's Dipsatch (Box Elder, MT), Blackfeet Dispatch (Browning, MT), Fort Belknap Dispatch (Harlem, MT), and Flathead Dispatch (Ronan, MT) all changed from DispatchTier 3 to DispatchTier 4.01/05/2022 - Geospatial and tabular changes. USMTFPAC (Fort Peck Dispatch) was closed/stopped as of 03/09/2020 per WFMI (Wildland Fire Management Information) application. USMTFPAC polygon was merged into USMTLEC per USMTLEC Center Manager. USMTFPAC (Fort Peck Dispatch) office location in Poplar, MT, was removed. Edits by JKuenzi, USFS.02/19/2021 - Geospatial and tabular changes. Fairbanks Area Forestry Dispatch, Delta Area Forestry Dispatch, and Tok Area Forestry Dispatch merged into Northern Forestry Dispatch Center (USAKNFDC) per per Jennifer L Jenkins - BLM GIS Specialist, and Ray Crowe - BLM Alaska Interagency Coordination Center (AICC) Center Manager, Dan Labarre - DNR, and Gabriella Branson - DNR. Locations for Delta and Tok were deleted. Tabular information for Fairbanks was updated with merged information. Edits by JKuenzi, USFS.12/21/2019 - 10/22/2020 - Geospatial and tabular changes. Table updated to match NWCG data standards. Original data only correct to nearest city location. Current layer updated to match building locations, except where noted. Locations derived from U.S. Census City locations, IRWIN Duty Stations data, Personal knowledge, geocoded locations produced by Texas A&M GeoServices, or calls with the actual dispatch offices, and confirmed using Google Earth Pro and Google Maps, where possible. Phone numbers added. FireNet emails added. Note that additional emails may be in use by the Dispatch Office, but have not been included. Edits by JKuenzi, USFS.