The NG9-1-1 GIS Guidelines and Best Practices Manual is a cooperative effort between the Arizona 9-1-1 Program, the AGIC 9-1-1 Committee and the Arizona 9-1-1 Program for the 9-1-1 System Administrators and GIS practitioners at different levels such as local government, tribal, County government, metropolitan planning organizations (MPO), whom support any of the 9-1-1 systems.Community. Initial Document created in 2017, Version 2 updated in 2020 based on new NENA standards and GIS platforms in Arizona.

Public Arizona Department of Forestry and Fire Management (DFFM) Forestry Information Tracking System (FITS) Experience Builder portal for fuel and vegetation treatment projects.FITS OverviewThe Arizona Department of Forestry and Fire Management (DFFM) - Forestry Programs need to geo-spatially visualize, manage, track accomplishments, and report on hundreds of vegetation treatment projects throughout the state as a part of the Governor’s Healthy Forest Initiative (HFI). These projects are complex with numerous funding sources, treatment types, and varying attributes and mechanisms. The Forestry Information Tracking System (FITS) was conceived as a system for Forestry staff to manage project and pass-through grant accomplishment metrics and generate reports and summaries for internal and public use (See public FITS Dashboard link at gis-dffm.hub.arcgis.com).Contact DFFM GIS Hub: https://gis-dffm.hub.arcgis.com/ Official: https://dffm.az.gov/ Email: GIS@dffm.az.govDataset Disclaimer:The Arizona Department of Forestry and Fire Management (DFFM) gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. This disclaimer applies both to the direct use of the data and any derivative products produced with the data. Any type of boundary, linear or point locations contained within this data or displayed within this product are approximate, and should not be used for authoritative or legal location purposes. Users should independently research, investigate, and verify all information to determine if the quality is appropriate for their intended purpose. If legally-defensible boundaries or locations are required, they should first be established by an appropriate state-registered professional.Per A.R.S. 37-178: A public agency that shares geospatial data of which it is the custodian is not liable for errors, inaccuracies or omissions and shall be held harmless from and against all damage, loss or liability arising from any use of geospatial data that is shared.The information contained in these data is dynamic and may change over time. It is the responsibility of the data user to use the data appropriately and consistent with the intent stated in the metadata.

This data set is a general reference for schools or "learning sites" in Arizona. It represents schools from the AZ Department of Education, both public schools and charter schools.https://nces.ed.gov/ccd/schoolsearch/https://www.ade.az.gov/schoolfinance/forms/LEAQuery/InformationRequest.aspx

This statewide dataset features next generation 9-1-1 Fire Emergency Service Boundaries (ESB) for the State of Arizona, managed by the Arizona Department of Administrations (ADOA) Arizona 9-1-1 Program. Essential for emergency response and public safety, the dataset helps ensure accurate dispatch and resource allocation. It outlines fire service coverage areas and serves a variety of functions, including analysis, mapping, and visualization. This dataset is an ADOA Arizona 9-1-1 Program offering, accessible via ArcGIS Online. It comes with tags like Arizona, Next Generation 9-1-1, Fire ESB, ADOA, Arizona 9-1-1 Program, Emergency Services, Public Safety, Spatial Data, and Statewide Dataset. Spatial Reference: WGS 1984.

The purpose of this dataset is to fulfill the public and Government’s need to know which agency is managing Federal land in a given area. For example, there may be a need to know what agency is managing a certain tract of land for the purpose of paying permit fees, obtaining licenses, or becoming informed about current laws, regulations, and restrictions governing access to and use of the land.

This dataset serves as a tool to determine and illustrate the boundaries of a particular Federal agency’s “managing” area and to quantify these areas in terms of geographic acreage. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities.

The geographic acreages contained in this dataset are not derived from legal documents associated with title documents or survey records. Rather, they are computed by mathematical programs and are described in detail in the supplemental section of the definition document referenced at the end of this section.

The data can be used for small scale (1:24,000 and smaller) analysis and cartographic products.

SMA was originally derived from the land dataset produced by the Arizona State Land Dept (ASLD), and the Arizona Land Resource Information System (ALRIS).

The land dataset was initiated in 1984 and updated in the spring of 1988 by the State Land Department Forestry Division and ALRIS. The data was then projected into ARC/INFO format and edited using the procedures from the ASLD Land Status Map Digitizing Procedure guide. The land dataset covers the entire State of Arizona and includes surface management, public land survey system (PLSS) provided by the Department of Transportation (ADOT), and county and state boundaries.

Yavapai County point data Non-Motorized Trailheads in web Mercator projection for AGOL visualization and Open Data. Map service hosted on gis.yavapaiaz.gov. This data was collected and revised by a Yavapai County local volunteer.

ASCII (American Standard Code for Information Interchange) is a character encoding standard that maps characters like letters, numbers, and symbols to numerical codes, forming the early foundation of digital text representation. Its simplicity and compatibility made it a natural choice for early computing systems, especially in environments with limited graphical capabilities. Iconic Disk Operating System (DOS) games from the 1980’s, including Nethack, Rogue, and Moria, used ASCII to bring sprawling civilizations, characters, and events to life. This map adapts this method of representation using text symbols into our own world, representing selected features of the state of Arizona through ASCII art to challenge how we perceive familiar places and to view one such place with a new sense of wonder and fantasy.Other Information:Data Sources: Arizona Biomes/Land Cover data retrieved from Arizona Geographic Alliance; Interstates and Rivers retrieved from Arizona Department of Transportation; Urban boundaries retrieved from U.S. Census Bureau. Map created by Michael Huff, GISP, 2025.

This dataset contains Arizona county boundaries for use in joining EPHT Data Explorer data to county-level geography using the "GeogID" column.Update Frequency: N/A

This dataset summarizes the results of the 2017 Shade Tree Planting Prioritization (STPP) analysis of the Urban and Community Forestry Program (UCF) at the Arizona Department of Forestry and Fire Management (DFFM). The purpose of the analysis was to assess existing urban forests in Arizona’s communities and identify shade tree planting needs. Layers: The analysis results on a per 2010 Census Block Group level for over 91 communities in Arizona; a simple City level summary (mean) and ranking (ranked by population density class).See the 2017 STPP Report for details on the analysis and results (https://azgeo.maps.arcgis.com/home/item.html?id=ad5c64d11fd749f9849bfc4b36b10e32).DFFM GIS Hub: https://gis-dffm.hub.arcgis.com/ Official: https://dffm.az.gov/ Email: GIS@dffm.az.govDisclaimerThe Arizona Department of Forestry and Fire Management gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. This disclaimer applies both to the direct use of the data and any derivative products produced with the data.Any type of boundary, linear or point locations contained within this data or displayed within this product are approximate, and should not be used for authoritative or legal location purposes. Users should independently research, investigate, and verify all information to determine if the quality is appropriate for their intended purpose. If legally-defensible boundaries or locations are required, they should first be established by an appropriate state-registered professional.Per A.R.S. 37-178: A public agency that shares geospatial data of which it is the custodian is not liable for errors, inaccuracies or omissions and shall be held harmless from and against all damage, loss or liability arising from any use of geospatial data that is shared.The information contained in these data is dynamic and may change over time. It is the responsibility of the data user to use the data appropriately and consistent with the intent stated in the metadata.

A subset of the Arizona Social Vulnerability Index (Overall).The Arizona Theme contains data about nine (9) factors. In collaboration with ADHS and the Arizona Health Improvement Plan (AzHIP) Data Advisory Committee (DAC), Arizona State University selected metrics for the 9 factors that the DAC believed were most important to include. Detailed information about methods and data sources can be found in this report and in this data dictionary.

The Airports dataset includes all official and operational aerodromes as of July 16, 2020 and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of official operational aerodromes in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the aerodrome, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

This dataset presents the 2020 Census urban area boundaries in Arizona. The core TIGER/Line Files and Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data, available on data.census.gov. The TIGER/Line Shapefiles are extracts of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The shapefiles include information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). They do not contain any sensitive data, areas used for administering censuses and surveys, or attributes used only in internal processing. The TIGER/Line Shapefiles are designed for use with geographic information system (GIS) software. Data was provided by the US Census Bureau 2020 TIGER Web Interface Download. Last Updated: December 2022Update Frequency: N/A

This dataset represents future land use as depicted in the general/comprehensive plans of the jurisdictions in the Sun Cloud project area. These data were collected from the individual agencies and compiled into a single dataset with a standardized, region-wide land use classification applied. The original land use has also been captured in the attributes of these data. Data were collected Spring 2021.

The ADHS Division of Licensing Services licenses and monitors health and child care facilities and providers throughout Arizona. Licensing inspections, on-site surveys, and complaint investigations are conducted to promote quality care and safety and ensure that performance standards are met for facility operation and maintenance. Data was provided by the Arizona Department of Health Services - Bureau of Medical Facilities Licensing in October 2022. Urgent cares are licensed through the Bureau of Medical Facilities Licensing. They license and certify medical health care institutions and providers of medical services to protect the public's health and safety and assure quality customer service through teamwork in a timely, efficient, and responsive manner. Update Frequency: Annual

MPA Boundary Creation:Created from a variety of source reference input. Small topological errors resolved to larger adjacent poly where necessary. Polylines may not be exact compared to source datasets necessary to resolve topological errors.Pima County:Oro ValleyDigitized from 2016 General Plan, referencing GIS linework from previous General Plan & Environmentally Sensitive Lands Project (previous TSSW project work for OV).https://www.orovalleyaz.gov/files/assets/public/documents/town-manager/general-plan/yourvoiceourfuturegeneralplan.pdfhttps://www.orovalleyaz.gov/files/assets/public/documents/town-manager/general-plan/general-plan-land-use-map.pdfAreas where OV General Plan conflicted with Marana General Plan – area had since been annexed into Marana and has included in the Marana GP polys. MaranaDigitized from Make Marana – 2040 General PlanMap atlas available at: https://static1.squarespace.com/static/54cc191ce4b0f886f4762582/t/5e50496454d84d590324e663/1582320010384/Marana+Map+Atlas+2.27.19+w_editsa.pdfSpecifically referenced Figure 1: Planning Area map dated 2/2019SahuaritaDigitized from Aspire 2035 – Sahuarity’s General Plan https://sahuaritaaz.gov/DocumentCenter/View/1169/Aspire-2035-Sahuaritas-General-Plan-Amended-2020?bidId=City of Tucson Digitized from COT Future Growth Scenario Plan .pdf https://www.tucsonaz.gov/files/integrated-planning/LT-7_Future_Growth_Scenario_Map_7-8-13.pdfPart of Plan Tucsonhttps://www.tucsonaz.gov/pdsd/plan-tucsonSanta Cruz County: **Note: The following had instances of overlapping polygons in the reference data and were left as a topological exceptions of overlapping polygons. Nogales & Patagonia General Plans, as both had the area covered in their GPs Tres Alamos General Plan & Benson GPSt David GP and Denson GPCCNogalesVerified linework from Nogales General Plan 2010http://www.azplanningcenter.com/Nogales/Files/2010_08_20-000-ExecutiveSummary_IntroductionAndOverview.pdfPatagoniaVerified linework from 2009 General Planhttps://issuu.com/seagoedd/docs/patagonia_general_plan?layout=http%253A%252F%252Fskin.issuu.com%252Fv%252Flight%252Flayout.xml&showFlipBtn=trueCochise County Created from various input GIS datasets:Comprehensive Plan Growth Areas feature classComprehensive Plan Design feature class

The Existing Land Use (EXLU) dataset represents land use in Santa Cruz County, Arizona. This dataset was created by Maricopa Association of Governments (MAG) in support of the Sun Cloud project. This dataset is intended to serve as a land use inventory for a variety of planning purposes including socioeconomic forecasting and transportation modeling. Because of the level of generalization involved in creating this dataset, land use boundaries may not be accurate representations of ground conditions if used at small scales.

2023 National Agriculture Imagery Program (NAIP) imagery for ArizonaThe National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition. NAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office in Salt Lake City. This "leaf-on" imagery is used as a base layer for GIS programs in FSA's County Service Centers, and is used to maintain the Common Land Unit (CLU) boundaries.NAIP projects are contracted each year based upon available funding and the FSA imagery acquisition cycle. Beginning in 2003, NAIP was acquired on a 5-year cycle. 2008 was a transition year, and a three-year cycle began in 2009. Click here >> for an interactive status map of NAIP acquisitions from 2002 - 2023. https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/

A federal Indian reservation is an area of land reserved for a tribe or tribes under treaty or other agreement with the United States, executive order, or federal statute or administrative action as permanent tribal homelands, and where the federal government holds title to the land in trust on behalf of the tribe. Off-reservation trust land is real estate that is held by the US Department of the Interior for the benefit of a Native American tribe or a member of a tribe, but is not located within an Indian reservation. Off-reservation trust land can be used for a variety of purposes, including: Housing, Agriculture or forestry, Community services like health care and education, Governmental operations, and Cultural activities.Native Nation refers to the indigenous people group itself, with its own political structure and sovereignty, allowing them to govern their affairs within their tribal boundaries. A "tribal reservation" is a specific geographic area of land designated for a Native American tribe to live on, while a "Native Nation" refers to the tribe itself, which is a sovereign political entity with its own government and culture, regardless of whether they reside on a reservation or not; essentially, the reservation is the land, and the Native Nation is the people and their governing body that inhabit it. Example: The Navajo Nation is a Native Nation, and the Navajo Reservation is the specific land area where a large portion of the Navajo people reside.Data Source: The Census Bureau obtains the boundary and attribute information for tribal subdivisions on federally recognized American Indian reservations and off-reservation trust lands from federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). ADHS added the native nation information for each reservation provided by the agency's tribal liaison.Update Frequency: Every 10 years with the decennial census.

This dataset represents group quarter locations in the Sun Cloud Project Area for Arizona. The US Census defines a group quarter as "a place where people live or stay, in a group living arrangement, that is owned or managed by an entity or organization providing housing and/or services for the residents. This is not a typical household-type living arrangement. These services may include custodial or medical care as well as other types of assistance, and residency is commonly restricted to those receiving these services. People living in group quarters are usually not related to each other. Group quarters include such places as college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, and workers’ dormitories." (Source: 2019 American Community Survey/Puerto Rico Community Survey Group Quarters Definitions, https://www2.census.gov/programs-surveys/acs/tech_docs/group_definitions/2019GQ_Definitions.pdf, accessed September 15, 2021).

Primary Highway Freight System (PHFS), Other Interstate portions not on the PHFS, Critical Rural Freight Corridors (CRFCs) and Critical Urban Freight Corridors (CUFCs) in the Sun Cloud region. Based on data layers published by FHWA at https://ops.fhwa.dot.gov/Freight/infrastructure/nfn/index.htm