Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

This dataset holds all materials for the Inform E-learning GIS course

Data Description: This data set contains all inspections issued/performed by City of Cincinnati Departments (including Buildings & Inspections; Cincinnati Fire Department; Cincinnati Health Department; Cincinnati Parks; and Trade/Development), as well as Inspections Bureau Inc (IBI) and Hamilton County departments.

Inspections range from electrical surveys, to swimming pools/spas, to elevator inspections, daycare inspections, and more. This data covers inspections since 1999 through present day.

Data Creation: All data is input by respective agencies, and maintained/stored by Cincinnati Area Geographic Information Systems (CAGIS), and is additionally available on CAGIS Property Activity Report website: http://cagismaps.hamilton-co.org/PropertyActivity/cagisreport

Data Created By: CAGIS

Refresh Frequency: Daily

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Finding Schools is now easier than ever with the College Map, the first geographic search tool published by IPEDS (Integrated Postsecondary Education Data System) providing access to over 7,000 certificate, undergraduate and graduate-level schools. This all-in-one tool enables students, parents and counselors to filter potential programs for location, major, tuition and more. Including both certificate-level programs and advanced degrees, this public application makes the often overwhelming process of school searching simple, and it’s available on mobile devices.Once the results are narrowed down, users can share their lists on social media or download in excel format. Additionally, the College Map integrates with the College Navigator, a research based search tool providing data from the complete list of IPEDS Survey indicators.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

Dropout rates for Alaska public school districts. The dropout rate is defined by state regulation 4 AAC 06.895(i)(3) as a fraction of students grades 7-12 who have dropped out during the current school year out of the total students in grades 7-12 enrolled as of October 1st of the school year for which the data is reported.A student is considered to be a dropout when they have discontinued schooling for a reason other than graduation, transfer to another diploma-track program, emigration, or death unless the student is enrolled and in attendance at the same school or at another diploma-track program prior to the end of the school year (June 30).Students who depart a diploma track program in pursuit of GED certification, credit recovery, or non-diploma track vocational training are considered to have dropped out.This data set includes historic data from 1991 to present.GIS layers for individual years can be accessed using the Build Your Own Map application.Source: Alaska Department of Education & Early Development

This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center

A Certificate of Convenience and Necessity (CCN) is issued by the PUCT, and authorizes a utility to provide water and/or sewer service to a specific service area. The CCN obligates the water or sewer retail public utility to provide continuous and adequate service to every customer who requests service in that area. The maps and digital data provided in the Water and Sewer CCN Viewer delineate the official CCN service areas and CCN facility lines issued by the PUCT and its predecessor agencies.This dataset is a Texas statewide polyline layer of water CCN facility lines. The CCNs were digitized from Texas Department of Transportation (TxDOT) county mylar maps. The mylar maps were the base maps on which the CCNs were originally drawn and maintained. CCNs are currently created and maintained using digitizing methods, coordinate geography or imported from digital files submitted by the applicant. TxDOT digital county urban road files are used as the base maps on which the CCNs are geo-referenced.This dataset is a Texas statewide polyline layer of water Certificates of Convenience and Necessity (CCN) facility lines. This type of CCN may either be a Facilities Only (F0), a CCN Facility line (point of use) service area that covers only the customer connections at the time the CCN was granted, or Facilities plus a specified number of feet (usually 200 feet buffer) around the facility line. It is best to view the water CCN facility lines in conjunction with the water CCN service areas, since these two layers together represent all of the retail public water utilities in Texas.*Important Notes: The CCN spatial dataset and metadata were last updated on: October 4, 2022The official state-wide CCN spatial dataset includes all types of CCN services areas: water and sewer CCN service areas; water and sewer CCN facility lines. This CCN spatial dataset is updated on a quarterly, or as needed basis using Geographic Information System (GIS) software called ArcGIS 10.8.2.The complete state-wide CCN spatial dataset is available for download from the following website: http://www.puc.texas.gov/industry/water/utilities/gis.aspxThe Water and Sewer CCN Viewer may be accessed from the following web site: http://www.puc.texas.gov/industry/water/utilities/map.htmlIf you have questions about this CCN spatial dataset or about CCN mapping requirements, please e-mail CCN Mapping Staff: water@puc.texas.govTYPE - Indicates whether a CCN is considered a water or a sewer system. If the CCN number begins with a '"1", the CCN is considered a water system (utility). If a CCN number begins with a "2", the CCN is considered a sewer system (utility).CCN_NO - A unique five-digit number assigned to each CCN when it is created and approved by the Commission. *CCN number starting with an ‘N’ indicates an exempt utility.UTILITY - The name of the utility which owns the CCN.COUNTY - The name(s) of the county(ies) in which the CCN exist.CCN_TYPE –One of three types:Bounded Service Area: A certificated service area with closed boundaries that often follow identifiable physical and cultural features such as roads, rivers, streams and political boundaries. Facilities +200 Feet: A certificated service area represented by lines. They include a buffer of a specified number of feet (usually 200 feet). The lines normally follow along roads and may or may not correspond to distribution lines or facilities in the ground.Facilities Only: A certificated service area represented by lines. They are granted for a "point of use" that covers only the customer connections at the time the CCN is granted. Facility only service lines normally follow along roads and may or may not correspond to distribution lines or facilities in the ground.STATUS – For pending dockets check the PUC Interchange Filing Search

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspxThe California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and certifies more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. This file includes California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification.To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed.Please note that the file contains the data from ELMS as of the 11th business day of the month. See DATA_DATE variable for the specific date of when the data was extracted.

The Watershed Boundary Dataset (WBD) in Texas was developed as a collaborative product by TWDB, USDA Natural Resources Conservation Service (NRCS) and USGS. The WBD is a seamless and consistent national Geographic Information System (GIS) database at a scale of 1:24,000, which has been extensively reviewed and matches to a minimum the USGS topographical 7.5 minute quadrangle map series. The traditional 8-digit hydrologic units (HUCs) have been further divided into smaller units called watersheds (10-digit HUCs) and sub-watersheds (12-digit HUCs). The watershed level is typically 40,000 to 250,000 acres, and the sub-watershed level is typically 10,000 to 40,000 acres with some as small as 3,000 acres. Federal Certification of the WBD for Texas was completed jointly by the NRCS and USGS in January 2009.This dataset, which has been developed to national standards (USGS and USDA/NRCS 2009), is intended to be managed in concert with the National Hydrography Dataset (NHD) as part of the Stewardship Program, supported by the U.S. Geological Survey with partner Federal, State and Local entities. Continuing development of the WBD in Texas will be completion of the 10 and 12-digit delineations of coastal watersheds. Some of the low lying coastal HUCs were not completed due to a lack of ultra high resolution elevation data necessary to determine the watershed boundaries.

A water right is a legal right to use surface or ground water under the Alaska Water Use Act (AS 46.15). A water right allows a specific amount of water from a specific water source to be diverted, impounded, or withdrawn for a specific use. When a water right is granted, it becomes appurtenant to the land where the water is being used for as long as the water is used. If the land is sold, the water right transfers with the land to the new owner, unless the Department of Natural Resources (DNR) approves its separation from the land. In Alaska, because water wherever it naturally occurs is a common property resource, landowners do not have automatic rights to ground water or surface water. For example, if a farmer has a creek running through his property, he will need a water right to authorize his use of a significant amount of water. Using water without a permit or certificate does not give the user a legal right to use the water. This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Subsurface Water Rights category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction. Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://www.dnr.state.ak.us/las/LASMenu.cfm Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

description: This data is for public use, and is in a GIS (Geographic Information Systems) form that displays farmers markets throughout California that are WIC (Women, Infants, and Children) certified. It contains infromation about the markets that have both FMNP (Farmers Market Nutritional Program) or FVC (Fruit and Vegetable Checks) certification, their WIC identification, locations, and when they are held. This was developed by the California Department of Technology, and information was gathered by the CDFA (California Department of Food and Agriculture). These locations were further specified and gathered by Carter Medlin, and edited by Lauren Phillips.; abstract: This data is for public use, and is in a GIS (Geographic Information Systems) form that displays farmers markets throughout California that are WIC (Women, Infants, and Children) certified. It contains infromation about the markets that have both FMNP (Farmers Market Nutritional Program) or FVC (Fruit and Vegetable Checks) certification, their WIC identification, locations, and when they are held. This was developed by the California Department of Technology, and information was gathered by the CDFA (California Department of Food and Agriculture). These locations were further specified and gathered by Carter Medlin, and edited by Lauren Phillips.

Hydrographic Multibeam Echo Sounder Rig Market Outlook

As per our latest research, the global Hydrographic Multibeam Echo Sounder Rig market size is estimated at USD 1.14 billion in 2024, reflecting robust demand across diverse marine and offshore sectors. The market is projected to grow at a CAGR of 6.7% from 2025 to 2033, reaching approximately USD 2.08 billion by the end of the forecast period. This expansion is primarily fueled by the increasing necessity for precise underwater mapping, advancements in sonar technology, and the rising adoption of hydrographic surveys in commercial and defense applications.

The foremost growth driver for the Hydrographic Multibeam Echo Sounder Rig market is the surge in global maritime trade and the corresponding need for accurate seabed mapping. With shipping routes becoming busier and the expansion of port infrastructure, the demand for sophisticated echo sounding technologies has soared. Advanced multibeam echo sounders enable rapid, high-resolution mapping of underwater topography, ensuring navigational safety and supporting dredging operations. Moreover, the integration of these systems with Geographic Information Systems (GIS) and real-time data analytics platforms has further propelled their adoption, as stakeholders seek comprehensive and actionable insights for operational decision-making.

Another significant growth factor stems from the offshore oil and gas sector, which relies heavily on hydrographic multibeam echo sounder rigs for site surveys, pipeline route assessments, and subsea infrastructure monitoring. The escalating exploration activities in deepwater and ultra-deepwater regions have necessitated the deployment of advanced sonar systems capable of operating at greater depths and under challenging environmental conditions. Additionally, the increasing focus on renewable offshore energy projects, such as wind farms, is boosting the market, as developers require detailed bathymetric data for site selection and construction planning. These trends underscore the critical role of hydrographic multibeam echo sounders in supporting sustainable and safe offshore operations.

Technological advancements have also played a pivotal role in market growth. Modern multibeam echo sounders now offer enhanced frequency ranges, improved signal processing capabilities, and user-friendly interfaces. The miniaturization of portable units has enabled their use in smaller vessels and unmanned surface vehicles (USVs), democratizing access to high-quality hydrographic data. Additionally, the increasing availability of training programs and certification courses has expanded the pool of skilled operators, further facilitating market expansion. The ongoing digital transformation in marine industries, characterized by automation and remote sensing, is expected to create new growth avenues for hydrographic multibeam echo sounder rigs in the coming years.

From a regional perspective, Asia Pacific is emerging as a dominant market, driven by extensive coastal development projects, burgeoning maritime trade, and significant investments in port modernization. North America and Europe also continue to showcase strong demand, fueled by robust offshore energy sectors and a high concentration of research institutes and defense agencies. The Middle East & Africa and Latin America are gradually catching up, supported by growing oil and gas exploration activities and regional government initiatives to enhance maritime safety and infrastructure. The global landscape is thus characterized by a dynamic interplay of regional priorities and technological advancements, shaping the future trajectory of the Hydrographic Multibeam Echo Sounder Rig market.

Product Type Analysis

The Hydrographic Multibeam Echo Sounder Rig market is segmented by product type into Shallow Water Multibeam Echo Sounders, Deep Water Multibeam Echo Sounders, Portable Multibeam Echo Sounders, and Others. Shallow water multibeam echo sounders dominate the market, primarily due to their widespread use in coastal mapping, harbor maintenance, and inland waterway surveys. These systems are engineered to deliver high-resolution bathymetric data in environments where water depths are relatively low but accuracy and detail are paramount. Their compact design and ease of integration with small survey vessels make them highly attractive for port authorities and dredging companies seeking to optimize operational efficiency.

A Certificate of Convenience and Necessity (CCN) is issued by the Public Utility Commission of Texas (PUCT), and authorizes a utility to provide water and/or sewer service to a specific service area. The CCN obligates the water or sewer retail public utility to provide continuous and adequate service to every customer who requests service in that area. The maps and digital data provided in the Water and Sewer CCN Viewer delineate the official CCN service areas and CCN facility lines issued by the PUCT and its predecessor agencies. This dataset is a Texas statewide polygon layer of sewer CCN service areas. The CCNs were digitized from Texas Department of Transportation (TxDOT) county mylar maps. The mylar maps were the base maps on which the CCNs were originally drawn and maintained. CCNs are currently created and maintained using digitizing methods, coordinate geography or imported from digital files submitted by the applicant. TxDOT digital county urban road files are used as the base maps on which the CCNs are geo-referenced. It is best to view the sewer CCN service area data in conjunction with the sewer CCN facility line data, since these two layers together represent all of the retail public sewer utilities in Texas.*Important Notes: The CCN spatial dataset and metadata were last updated on: October 4, 2022The official state-wide CCN spatial dataset includes all types of CCN services areas: water and sewer CCN service areas; water and sewer CCN facility lines. This CCN spatial dataset is updated on a quarterly, or as needed basis using Geographic Information System (GIS) software called ArcGIS 10.8.2.The complete state-wide CCN spatial dataset is available for download from the following website: http://www.puc.texas.gov/industry/water/utilities/gis.aspxThe Water and Sewer CCN Viewer may be accessed from the following web site: http://www.puc.texas.gov/industry/water/utilities/map.htmlIf you have questions about this CCN spatial dataset or about CCN mapping requirements, please e-mail CCN Mapping Staff: water@puc.texas.govTYPE - Indicates whether a CCN is considered a water or a sewer system. If the CCN number begins with a '"1", the CCN is considered a water system (utility). If a CCN number begins with a "2", the CCN is considered a sewer system (utility).CCN_NO - A unique five-digit number assigned to each CCN when it is created and approved by the Commission. *CCN number starting with an ‘N’ indicates an exempt utility.UTILITY - The name of the utility which owns the CCN.COUNTY - The name(s) of the county(ies) in which the CCN exist.CCN_TYPE –One of three types:Bounded Service Area: A certificated service area with closed boundaries that often follow identifiable physical and cultural features such as roads, rivers, streams and political boundaries. Facilities +200 Feet: A certificated service area represented by lines. They include a buffer of a specified number of feet (usually 200 feet). The lines normally follow along roads and may or may not correspond to distribution lines or facilities in the ground.Facilities Only: A certificated service area represented by lines. They are granted for a "point of use" that covers only the customer connections at the time the CCN is granted. Facility only service lines normally follow along roads and may or may not correspond to distribution lines or facilities in the ground.STATUS – For pending dockets check the PUC Interchange Filing Search

National Forest Inventory Continental Database is a database of forest resource attributes covering all land tenures for Australia and Territories. Forest is defined as woody vegetation in excess of 5 metres in height, with a projective foliage cover of >30%. The NFI is also collecting information outside this definition. The data is collected by aerial photo interpretation, field measurements, field Specimens, field notes, maps, and remote sensing data from satellite. The database is made up of separate State wide databases that have been normalised and collated into a single database. Scales and levels of completeness vary between state and within states. These gaps are being addressed by NFI funded regional and local scale projects.

The data base includes gf (Growth form of the vegetation), g1/s1 (the most abundant or physically predominant species in the tallest stratum), g2/s2 (another species that is always present and conspicuous in the tallest stratum), g3/s3 (species selected from any stratum, usually a lower stratum as an indicator species or to destinguish between associations), minh (minimum height in metres), maxh (maximum height in metres), medh (median height derived through consultation with the suppliers of the data), h_class (height class as per Walker and Hopkins (1990)), minpfc (minimum projective foliage cover), maxpfc (maximum projective foliage cover), medpfc (median projective foliage cover), mincc (minimum crown cover), maxcc (maximum crown cover), minc (minimum crown separation ratio), maxc (maximum crown separation ratio), c_class (cover classes as per Walker and Hopkins (1990)), plant_code (equivalent to frq_code for plantations), and description (description of the type of plantation). The data is available in ArcInfo EXPORT format (the interchange format for this Geographic Information System). The data set is about 500 megabytes.

Forestry Software Market size was valued at USD 1.29 Billion in 2024 and is projected to reach USD 7.95 Billion by 2031, growing at a CAGR of 22.39% during the forecasted period 2024 to 2031.

The Forestry Software Market is experiencing significant growth driven by several factors. Firstly, increasing global concerns regarding deforestation, environmental conservation, and sustainable forestry practices are compelling forestry organizations to adopt digital solutions for efficient management of resources. Secondly, technological advancements, such as Geographic Information System (GIS) integration, remote sensing, and cloud computing, are enhancing the capabilities of forestry software, enabling better decision-making processes and resource optimization. Thirdly, the rising demand for timber, coupled with the need for improved operational efficiency and cost reduction in forestry operations, is driving the adoption of software solutions for inventory management, harvest planning, and logistics optimization. Moreover, regulatory requirements for compliance with environmental standards and certification programs are further incentivizing the adoption of forestry software solutions. Additionally, the emergence of mobile-based applications and field data collection tools is facilitating real-time monitoring and data analysis, contributing to market growth.

Drone-Assisted Forest Moisture Content Mapping Market Outlook

According to our latest research, the global Drone-Assisted Forest Moisture Content Mapping market size reached USD 1.24 billion in 2024, with a robust year-on-year growth trajectory. The market is projected to expand at a CAGR of 12.7% from 2025 to 2033, reaching an estimated USD 3.64 billion by 2033. This impressive growth is primarily driven by the increasing adoption of advanced drone technologies for forest health monitoring, fire risk assessment, and precision forestry applications. As per our latest research, the integration of multispectral imaging, thermal sensors, and LiDAR in drones is revolutionizing the way forestry professionals and environmental agencies map and manage forest moisture content, providing actionable insights for sustainable forest management and climate change mitigation.

One of the predominant growth factors for the Drone-Assisted Forest Moisture Content Mapping market is the escalating frequency and intensity of forest fires globally, which has prompted governments and environmental organizations to seek advanced technologies for early detection and risk assessment. Drones equipped with multispectral and thermal imaging sensors enable precise and real-time mapping of moisture levels, which is crucial for identifying fire-prone areas and implementing timely preventive measures. The ability to rapidly cover vast and inaccessible forest terrains, combined with the high-resolution data provided by drones, significantly enhances the effectiveness of forest fire management strategies. Furthermore, the integration of artificial intelligence and machine learning algorithms with drone-collected data is enabling predictive analytics, further boosting the adoption of drone-assisted moisture mapping solutions across the forestry sector.

Another critical driver is the growing emphasis on sustainable forest management and biodiversity conservation. With increasing global awareness about the impacts of climate change and deforestation, there is a rising demand for precise, data-driven approaches to monitor forest health and moisture dynamics. Drone-assisted mapping technologies provide forest managers and researchers with detailed, spatially explicit information on soil and vegetation moisture content, enabling more informed decision-making for reforestation, forest restoration, and conservation initiatives. The ability to conduct frequent and non-invasive monitoring also supports compliance with environmental regulations and certification standards, further propelling market growth. Additionally, the decreasing cost of drone hardware and sensors, coupled with advancements in battery life and data processing capabilities, is making these technologies more accessible to a broader range of stakeholders, from government agencies to commercial forestry operators.

Technological advancements in drone platforms and sensor integration are also fueling the expansion of the Drone-Assisted Forest Moisture Content Mapping market. The development of lightweight, long-endurance drones capable of carrying sophisticated payloads such as LiDAR, hyperspectral, and RGB cameras has broadened the scope of applications in forestry. These innovations allow for the collection of multi-dimensional data sets, which can be processed to generate high-resolution moisture maps and 3D models of forest structure. The interoperability of drone data with geographic information systems (GIS) and cloud-based analytics platforms further enhances the utility of drone-assisted mapping for forest management, research, and policy-making. As drone regulations continue to evolve in favor of commercial and governmental applications, the market is expected to witness accelerated adoption across both developed and emerging economies.

From a regional perspective, North America currently dominates the Drone-Assisted Forest Moisture Content Mapping market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific region. The presence of extensive forest resources, stringent environmental regulations, and a high level of technological adoption are key factors driving market growth in these regions. Asia Pacific is expected to exhibit the fastest growth rate over the forecast period, fueled by increasing investments in sustainable forestry, rapid urbanization, and heightened vulnerability to climate-induced forest fires. Meanwhile, Latin America and the Middle East & Africa are gradually embracing drone-assisted moisture mapping technologies, driven by government initiatives and international

A water right is a legal right to use surface or ground water under the Alaska Water Use Act (AS 46.15). A water right allows a specific amount of water from a specific water source to be diverted, impounded, or withdrawn for a specific use. When a water right is granted, it becomes appurtenant to the land where the water is being used for as long as the water is used. If the land is sold, the water right transfers with the land to the new owner, unless the Department of Natural Resources (DNR) approves its separation from the land. In Alaska, because water wherever it naturally occurs is a common property resource, landowners do not have automatic rights to ground water or surface water. For example, if a farmer has a creek running through his property, he will need a water right to authorize his use of a significant amount of water. Using water without a permit or certificate does not give the user a legal right to use the water. This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Subsurface Water Rights category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction. Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://www.dnr.state.ak.us/las/LASMenu.cfm Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

Summary: This dataset serves as a core reference layer in support of the Unified Government's Enterprise GIS (E-GIS). It is used for visualization, query, analysis, and address matching/geocoding of road network. It is also used by the Unified Government's CAD (Computer Aided Dispatch) 9-1-1 system as geographic location aid, and is also shared with Kansas City area's Mid America Regional Council regional E9-1-1 emergency response system.Description: Best cartographic rendering at map scale 1:6000 or smaller. Contains federal, state, county, and city roads, park drives, cemetery drives, plus private roads, ramps, service roads, alleys, and some private drives. Includes street name directional prefix, street name proper, and street type attribution, along with theoretical block address range information. Roads are depicted as a single line in center of pavement (not double-line, edge of pavement).By using this dataset you acknowledge the following:Kansas Open Records Act StatementThe Kansas Open Records Act provides in K.S.A. 45-230 that "no person shall knowingly sell, give or receive, for the purpose of selling or offering for sale, any property or service to persons listed therein, any list of names and addresses contained in, or derived from public records..." Violation of this law may subject the violator to a civil penalty of $500.00 for each violation. Violators will be reported for prosecution.By accessing this site, the user makes the following certification pursuant to K.S.A. 45-220(c)(2): "The requester does not intend to, and will not: (A) Use any list of names or addresses contained in or derived from the records or information for the purpose of selling or offering for sale any property or service to any person listed or to any person who resides at any address listed; or (B) sell, give or otherwise make available to any person any list of names or addresses contained in or derived from the records or information for the purpose of allowing that person to sell or offer for sale any property or service to any person listed or to any person who resides at any address listed."

Access APINSW Elevation and Depth Theme – Relative Heights Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS …Show full description Access APINSW Elevation and Depth Theme – Relative Heights Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionally. Relative Height is a point feature class representing relative heights of a vertical face of a cliff. Elevation and Depth provides an authoritative digital representation of the Earth’s surface enabling evidence based decision making, policy development and an essential reference to other foundation datasets. Elevation and Depth underpins:· safe hydrographic, aeronautical and road navigation · climate science, including climate change adaptation · emergency management and natural hazard risk assessment · environmental, including water management · definition of maritime and administrative boundaries · defence and national security · natural resource exploration and exploitation Data is as initially captured at 1:25 000, 1:50 000 and 1:100 000 scales from stereoscopic aerial photography. Metadata Type Esri Feature Service Update Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets Elevation and Depth Theme of the Foundation Spatial Data Framework Accuracy Spatial Accuracy Horizontal: +/-1.25 @95% Confidence Interval Spatial Accuracy Vertical: +/-0.9 @95% Confidence Interval Calibration certification (Manufacturer/Cert. Company): DCS, Spatial Services. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS 84 Geographic 2D WGS 84 Equivalent To GDA94 Spatial Extent Full State Standards and Specifications AS/NZS ISO 19115 - ANZLIC Metadata Profile Version 1.1 AS/NZS ISO 19131:2008 Geographic Information - Data product specifications OGC compliant Web Map Services (WMS) and Web Feature Services (WFS) Metadata for the relevant Spatial Services datasets complies with AS/NZS ISO 19115-2, ANZLIC Metadata Profile v1.1 and ISO 19139 Intergovernmental Committee on Surveying and Mapping (ICSM): Guidelines for Digital Elevation Data DCS Spatial Services: Elevation Data Products Specification and Description (LiDAR) DCS Spatial Services: Elevation Data Products Specification and Description (Airborne Photogrammetry) Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795 Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795

A complete, historic universe of Cook County parcels with attached geographic, governmental, and spatial data.

When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded.

Additional notes:

• Non-taxing district data is attached via spatial join (st_contains) to each parcel's centroid.
• Tax district data (school district, park district, municipality, etc.) are attached by a parcel's assigned tax code.
• Centroids are based on Cook County parcel shapefiles.
• Older properties may be missing coordinates and thus also missing attached spatial data (usually they are missing a parcel boundary in the shapefile).
• Newer properties may be missing a mailing or property address, as they need to be assigned one by the postal service.
• This dataset contains data for the current tax year, which may not yet be complete or final. Assessed values for any given year are subject to change until review and certification of values by the Cook County Board of Review, though there are a few rare circumstances where values may change for the current or past years after that.
• Rowcount for a given year is final once the Assessor has certified the assessment roll all townships.
• Data will be updated monthly.
• Depending on the time of year, some third-party and internal data will be missing for the most recent year. Assessments mailed this year represent values from last year, so this isn't an issue. By the time the Data Department models values for this year, those data will have populated.
• Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time.
• Due to discrepancies between the systems used by the Assessor and Clerk's offices, tax_district_code is not currently up-to-date in this table.

Read about the Assessor's 2025 Open Data Refresh.

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.