This is a downloadable PDF of the City of Bend Sign Districts.This map is part of the City of Bend's printable map library and only updated periodically. Many of the maps have been formatted to print using large-format plotters and may not be legible when printed on letter-sized paper. Printed maps are available for purchase in a variety of sizes. Custom maps may also be requested. Please see our Fees and Services page for prices.An Interactive Map is also available which provides access to many of the same data layers that were used to create the maps found belowMap Last Updated: January 2025

The City of Frederick GIS Department maintains a number of interactive web mapping applications for use by both City employees and citizens collectively known as SpiresGIS. These applications allow users to find specific information such as property zoning and plat information as well as print custom paper maps.These mapping applications were developed using ESRI's Javascript Application Programming Interface in conjunction with ESRI's ArcServer. More applications are under development, and will be listed on this page in the near future.

Aquatic environmental DNA (eDNA) sampling is the collection of DNA released by a target species into streams, rivers, ponds, lakes, and wetlands. Detection of stream fish with eDNA can be remarkably sensitive—100% detection efficiency of target species has been achieved despite order-of-magnitude changes in stream discharge. The eDNA samples in the eDNAtlas database describe species occurrence locations and were collected by the U.S. Forest Service and numerous agencies that have partnered with the National Genomics Center for Wildlife and Fish Conservation (NGC) throughout the United States. The data were collected for a variety of project-specific purposes that included: species status assessments, trend monitoring at one or many sites, development of predictive species distribution models, detection and tracking of non-native species invasions, and assessments of habitat restoration efforts. The eDNAtlas database consists of two feature classes. The first component (eDNAtlas_West_AGOL_ResultsOnly) is a database of georeferenced species occurrence locations based on eDNA field sampling results, which are downloadable by species through a dynamic ArcGIS Online (AGOL) mapping tool. The earliest eDNA samples in the database were collected in 2015 but new samples and results are added annually to the database, which houses thousands of species occurrence records. The second component (eDNAtlas_West_SampleGridAndResults) is a systematically-spaced 1-kilometer grid of potential sample points in streams and rivers throughout the western United States. Future versions will include the eastern United States as well. The points in the sampling grid are arrayed along the medium-resolution National Hydrography Dataset Version 2 (NHDPlusV2) and can be used to develop custom eDNA sampling strategies for many purposes. Each sample point has a unique identity code that enables efficient integration of processed eDNA sample results with the species occurrence database. The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG). The AGOL map displays results for all species sampled within an 8-digit USGS hydrologic unit or series of units. The map initially opens to the project extent, but allows users to zoom to areas of interest. Symbols indicate whether a field sample has been collected and processed at a specific location, and if the latter, whether the target species was present. Each flowing-water site is assigned a unique identification code in the database to ensure that it can be tracked and matched to geospatial habitat descriptors or other attributes for subsequent analyses and reports. Because no comparable database has been built for standing water, results for those sites lack this additional information but still provide data on the sample and species detected. Resources in this dataset:Resource Title: The Aquatic eDNAtlas Project: Lab Results Map - USFS RMRS. File Name: Web Page, url: https://usfs.maps.arcgis.com/apps/webappviewer/index.html?id=b496812d1a8847038687ff1328c481fa The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG). The AGOL map displays results for all species sampled within an 8-digit USGS hydrologic unit or series of units. The map initially opens to the project extent, but allows users to zoom to areas of interest. Symbols indicate whether a field sample has been collected and processed at a specific location, and if the latter, whether the target species was present. Each flowing-water site is assigned a unique identification code in the database to ensure that it can be tracked and matched to geospatial habitat descriptors or other attributes for subsequent analyses and reports. Because no comparable database has been built for standing water, results for those sites lack this additional information but still provide data on the sample and species detected. For details on using the map see the Aquatic eDNAtlas Project: Lab Results ArcGIS Online Map Guide.

This App includes 3,141 summary records by U.S. County for all Federal disaster declarations between 1964 and 2013. The initial map display shows the All Incidents later, but there are 12 Additional layers users can display showing the county declaration summary data by Incident Type (Fire, Flood, Tornado, etc...]. Click on an disaster declaration highlighted on the map and a custom pop-up attribute display will show you the disaster declaration information and census population estimates for reference. This App also includes a number of map tools to help visualize and analyze the data. NSGIC Data Citation:This project uses existing FEMA data resources that are the authoritative sources of information on this topic, including geospatial data files and open data APIs that were used to access available FEMA Federally-declared Natural Disaster data in the United States available from 1964 to 2014 (through 2013).To support our mapping needs, NSGIC downloaded a snapshot of FEMA data and published our own data Service Definitions and Feature Layers on NSGIC’s ArcGIS Online Mapping Platform to create the unfiltered Feature Layer Services we needed to support our mapping needs of the FEMA Federally Declared Disaster data.Note: These original data sources reflect a variety of inconsistencies and completeness is data collection, as well as changing definitions and priorities in FEMA’s disaster declaration information collection since record-keeping began in 1964. The original data was not modified.To publish the new Feature Layers on ArcGIS Online, NSGIC joined the FEMA Natural Disaster data with an Esri US County polygon shapefile with county population and demographic attributes from the U.S. Census Bureau’s American Community Survey. NSGIC added the 2010 and 2015 population estimates from the Census Bureau’s American Community Survey to relate the impacts of every declared natural disaster to current time frame.A significant portion of the available attribute data is not displayed in the NSGIC interactive maps, but is accessible through the site by experienced users.More recent data may be available from the original sourcesFEMA Data Citation:Data for this project was downloaded from FEMA in April 2016 and reflects the data available at that time using the available APIs.This product uses the Federal Emergency Management Agency’s API, but is not endorsed by FEMA.FEMA cannot verify the quality and/or timeliness of any data or any analysis derived therefrom after the data has been retrieved from FEMA.gov.

Cartography Software Market Outlook

According to our latest research, the global cartography software market size reached USD 2.15 billion in 2024, driven by increasing demand for advanced mapping solutions across diverse sectors. The market is expected to expand at a CAGR of 9.2% between 2025 and 2033, with the market size forecasted to reach USD 4.79 billion by 2033. This robust growth is primarily attributed to rapid urbanization, the proliferation of geospatial data, and growing integration of GIS technologies in government and commercial applications.

The primary growth factor propelling the cartography software market is the accelerating adoption of geospatial intelligence and geographic information systems (GIS) across various sectors. Governments, urban planners, and commercial enterprises are increasingly leveraging cartography software for enhanced decision-making, spatial data visualization, and resource management. The surge in smart city initiatives and infrastructure development projects worldwide is further boosting demand for sophisticated mapping tools. These tools enable stakeholders to visualize complex datasets, analyze spatial relationships, and optimize planning processes, thereby improving efficiency and reducing operational costs.

Another significant driver is the technological evolution within the cartography software landscape. The integration of artificial intelligence, machine learning, and cloud computing has transformed traditional mapping solutions into dynamic, interactive, and real-time platforms. These advancements have broadened the application scope of cartography software, making it indispensable in fields such as disaster management, environmental monitoring, and business intelligence. The ability to process large volumes of geospatial data quickly and accurately has enhanced the value proposition of cartography solutions, attracting investments from both public and private sectors.

Furthermore, the growing need for disaster risk management and environmental monitoring is catalyzing the adoption of cartography software. Governments and humanitarian organizations are increasingly utilizing these tools to map vulnerable areas, monitor climate change impacts, and plan emergency response strategies. The software’s capability to provide real-time situational awareness and predictive analytics is critical in mitigating risks and enhancing preparedness. As climate-related challenges intensify, the reliance on advanced cartographic solutions is expected to deepen, further fueling market growth.

From a regional perspective, North America currently dominates the cartography software market, supported by substantial investments in geospatial infrastructure and a high concentration of technology-driven enterprises. However, Asia Pacific is poised for the fastest growth, driven by rapid urbanization, expanding infrastructure projects, and increasing government focus on smart city development. Europe also holds a significant share, benefiting from robust regulatory frameworks and widespread adoption of GIS technologies across various sectors. The Middle East & Africa and Latin America are emerging as promising markets, with growing awareness of the benefits of digital mapping in resource management and urban planning.

Component Analysis

The cartography software market by component is bifurcated into software and services. The software segment captures the largest market share, accounting for over 65% in 2024, owing to the widespread adoption of advanced mapping solutions across government, commercial, and utility sectors. Modern cartography software platforms offer comprehensive features such as data visualization, spatial analysis, and real-time collaboration, making them indispensable tools for urban planners, environmental agencies, and businesses. The proliferation of open-source platforms and the availability of customizable mapping solutions have further accelerated the adoption of cartography software globally.
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About this itemSmall organizations, including many that work on natural resource issues, often lack the capacity to use spatial data in their decision making processes. This has generally required expensive software and specialized training. Researchers at the Natural Resources Research Institute, along with collaborators at the University of Minnesota Center and Minnesota Sea Grant, have worked to remove those barriers through the development of the Minnesota Natural Resource Atlas. This interactive online Atlas provides a basic set of GIS tools for exploring, visualizing, and analyzing spatial data. Users have access to over 450 data layers across the state of Minnesota and the ability to measure, access attribute data, conduct basic summaries, query features, and view different combinations of these data. Information can be shared by exporting analysis results and map images or by creating a unique URL that other users can follow to a custom map. The Atlas is offered as a free public resource.Author/ContributorKristi NixonOrganizationNatural Resources Research InstituteOrg Websitenrri.umn.edu

GeoMet-Weather provides public access to the Meteorological Service of Canada (MSC) and Environment and Climate Change Canada (ECCC) data via interoperable web services and application programming interfaces (API). Through open standards, users can freely and quickly access thousands of real-time and archived weather, climate and water datasets and products and integrate them in their domain-specific applications and decision support systems. Users can build mobile apps, create interactive web maps, and display and animate MSC data in desktop software. MSC GeoMet also enables on demand raw data clipping and reprojection, on demand format conversion and custom visualization.