Disclaimer:information contained within the Union County GIS web program was prepared to assist in the appraisal of real property for tax purposes. Map features and related data may not reflect most recent changes. Union County assumes no legal responsibility or liability for the information contained within the Union County GIS web program. Users noting errors or omissions are encouraged to contact the Union County Auditor (937-645-3003) or the Union County Engineer (937-645-3018), or send e-mail to maps@co.union.oh.us

Ground survey route covered by NTP team for the August 27, 2020, Union, ON event. Ground survey conducted August 28, 2020. Survey route tracked by iPads while surveying in car and on foot. View event map here

Credit Union locations provided by the Department of Insurance Securities and Banking (DISB). The Banking Bureau of the Department of Insurance, Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies and check cashers. The data is updated irregularly as needed.

Disclaimer:information contained within the Union County GIS web program was prepared to assist in the appraisal of real property for tax purposes. Map features and related data may not reflect most recent changes. Union County assumes no legal responsibility or liability for the information contained within the Union County GIS web program. Users noting errors or omissions are encouraged to contact the Union County Auditor (937-645-3003) or the Union County Engineer (937-645-3018), or send e-mail to maps@co.union.oh.us

The Digital Geologic-GIS Map of Fort Union National Monument and Vicinity, New Mexico is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (foun_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (foun_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (foun_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (foun_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (foun_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (foun_geology_metadata_faq.pdf). Please read the foun_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (foun_geology_metadata.txt or foun_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This map was developed by the Atlanta Regional Commission to represent Transportation Investment Act areas within the Union City area. Looking at Commercial and Industrial Parcels with the area.

Union 1 West Fork Drainage District

To download:1. Click the Download button above.2. A side panel will appear showing download options. Under Shapefile, click the Download button.3. When the download completes, browse to the location of the downloaded .zip, copy it to the location where you manage your redistricting files, then right-click to extract the contents. You will then be able to use the file in GIS software.If, rather than downloading the data, you wish the reference online versions of these datasets directly to ensure you are always using the most up-to-date data, please contact the County of San Bernardino Innovation and Technology Departments at 909-884-4884 or by emailing OpenData@isd.sbcounty.gov for informations and instructions for doing so.This dataset should only be used for the purpose of establishing election divisions within a district. It will be removed once the redistricting process has concluded.

Polygon geometry with attributes displaying boundaries of neighborhood associations in East Baton Rouge Parish, Louisiana.

This layer is a component of Illinois Reference Layers.

© Illinois State Geological Survey

To download:1. Click the Download button above.2. A side panel will appear showing download options. Under Shapefile, click the Download button.3. When the download completes, browse to the location of the downloaded .zip, copy it to the location where you manage your redistricting files, then right-click to extract the contents. You will then be able to use the file in GIS software.If, rather than downloading the data, you wish the reference online versions of these datasets directly to ensure you are always using the most up-to-date data, please contact the County of San Bernardino Innovation and Technology Departments at 909-884-4884 or by emailing OpenData@isd.sbcounty.gov for informations and instructions for doing so.This dataset should only be used for the purpose of establishing election divisions within a district. It will be removed once the redistricting process has concluded.

Series Name: Proportion of women aged 20-24 years who were married or in a union before age 15 (percent)Series Code: SP_DYN_MRBF15Release Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.3.1: Proportion of women aged 20–24 years who were married or in a union before age 15 and before age 18Target 5.3: Eliminate all harmful practices, such as child, early and forced marriage and female genital mutilationGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

How are processes of political development structured across space and time by preexisting institutions? This article develops a spatiotemporal theory of institutional change by analyzing the evolving infrastructural power of the European Union’s legal order using geospatial methods. Specifically, the authors theorize that the pattern and pace of the domestic spread of EU law has been shaped by preexisting state institutions—particularly by the degree to which national judiciaries are hierarchically organized. To assess this claim, the article compares patterns of domestic judicial enforcement of EU law across France (a unitary state with a centralized judiciary), Italy (a weaker unitary state with a centralized judiciary), and Germany (a federal state with a decentralized judiciary). Developing a geospatial approach to the study of legal integration and historical institutionalism more broadly, the authors leverage an original geocoded data set of cases referred to the EU’s European Court of Justice by national courts to visualize how the subnational penetration of Europe’s supranational legal order is conditioned by state institutions.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The vegetation map was developed through on-screen digitizing of available black and white digital ortho-photographs from 1984 and 1999. The photos were compiled into a GIS with a standard set of ancillary layers provided by the park service (boundaries, roads, facilities, etc.). Using the vegetation classification as the foundation for the map legend, map units were defined with respect to interpretable patterns in the photography, and with an eye to those patterns that would be most important in natural and cultural resources management within the park. The map included 19 map classes and covered a total of 278.13 ha.

Boundaries of the civic association areas in Arlington County.

Contact: Department of Environmental Services

Data Accessibility: Publicly Available

Update Frequency: As Needed

Document Last Revision Date: 3/19/2024

Document Creation Date: 3/19/2024

Feature Dataset Name: Civic

Layer Name: Civic_poly

The Digital Geologic-GIS Map of Santa Rosa Island, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sris_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sris_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sris_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (chis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chis_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sris_geology_metadata_faq.pdf). Please read the chis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sris_geology_metadata.txt or sris_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Reports by Job classification the most current hourly rate of pay for each step in the classification level. Salary Plan indicates those classifications in the UPSE Civil agreement which have a 7.5 hour work day and those with 8.0 hour days.For agreements which have expired, the last rate increase will remain in effect until a new agreement is negotiated.

This dataset represents locations as well as information regarding the Association of Governments in Utah.

All neighborhood assocations registered with the LFUCG Division of Planning. Assocaiton can register or update their registration by contacting the Division of Planning.

The charter, collaborative, superintendency union, and vocational (CCUV) districts layer includes the following district types:Charter - Charter schools are independent public schools that operate under five-year charters granted by the Commonwealth's Board of Elementary and Secondary Education (BESE). The increased freedom available to charter schools coupled with increased accountability, infuses all aspects of BESE's oversight of charter schools, beginning with the rigorous application process that groups must go through to receive a charter. Once BESE has awarded a charter, the new charter school has the freedom to organize around a core mission, curriculum, theme, or teaching method. It is allowed to control its own budget and hire (and fire) teachers and staff. In return for this freedom, a charter school must demonstrate good results within five years or risk losing its charter.Collaborative - Educational Collaboratives are formed by local school committees and charter boards under the provisions of Chapter 40, Section 4E. The purpose of an educational collaborative is to supplement and strengthen the programs and services of member school committees and charter boards. All educational collaborative agreements and amendments must be approved by the member school committees and charter boards and BESE.Superintendency Union - Superintendency unions (sometimes called "school unions") are cooperative arrangements between two or more school committees (typically in small towns) to share the services of a superintendent of schools and central office staff, while allowing each town to keep its own school committee and school buildings. The law authorizing school unions was enacted in 1870, predating the law authorizing regional school districts, which was enacted in 1949.Regional Vocational Technical - Career/vocational technical education programs is the term used to denote Chapter 74-approved vocational technical education programs and non-Chapter 74 career and technical education programs. Administered by a regional vocational school committee.More details...Feature service also available.