The datasets in this zip file are in support of Intelligent Transportation Systems Joint Program Office (ITS JPO) report FHWA-JPO-16-385, "Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs — Evaluation Report for ATDM Program," and FHWA-JPO-16-389, "Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs : Evaluation Report for the San Diego Testbed : Draft Report". The files in this zip file are specifically related to the San Diego Testbed. The compressed zip files total 3.17 GB in size. The files have been uploaded as-is; no further documentation was supplied by NTL. Direct download of data zip file: https://doi.org/10.21949/1500873 All located .docx files were converted to .pdf document files which are an open, archival format. These pdfs were then added to the zip file alongside the original .docx files. These files can be unzipped using any zip compression/decompression software. This zip file contains files in the following formats: .pdf document files which can be read using any pdf reader; .cvs text files which can be read using any text editor; .txt text files which can be read using any text editor; .docx document files which can be read in Microsoft Word and some other word processing programs; . xlsx spreadsheet files which can be read in Microsoft Excel and some other spreadsheet programs; .dat data files which may be text or multimedia; as well as GIS or mapping files in the following formats: .mxd, .dbf, .prj, .sbn, .shp., .shp.xml; which may be opened in ArcGIS or other GIS software. [software requirements] These files were last accessed in 2017.

This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970–2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship.

The highlighted feature is seamlessly integrated into the individual department dashboards within the REP Hubsite, providing each department with a dynamic platform to present their key content. Departments are empowered to feature a variety of materials, such as posters, announcements, event details, important links, and other relevant resources, directly on their dashboards. This customizable capability allows departments to prominently display upcoming events, time-sensitive updates, and crucial public announcements, ensuring that their audiences stay informed and engaged. By offering a user-friendly interface for showcasing relevant information, this feature fosters better communication, encourages greater interaction, and strengthens the visibility of departmental initiatives, ultimately enhancing public awareness and participation.

Landsat 8 OLI, 30m multispectral and multitemporal 8-band imagery, rendered on-the-fly as Bathymetric with DRA. Time-enabled for visualization and analytics, this imagery layer pulls directly from the Landsat on AWS collection and is updated daily with new imagery.

Geographic Coverage

• World-wide imagery coverage.
• Polar regions are available in polar-projected Imagery Layers: Landsat Arctic Views and Landsat Antarctic Views.

Temporal Coverage

• This layer is updated daily with new imagery.
  
• Landsat 8 imagery is collected for each point on Earth every 16 days.
• Most images collected from January 2015 to present are included.
  
• Approximately 5 images for each path/row from 2013 and 2014 are also included.

Analysis Ready

• This imagery layer is analysis ready with Top of Atmosphere (TOA) correction applied.
• The TOA reflectance values (ranging 0 – 1 by default) are scaled using a range of 0 – 10,000.
• The scale is equivalent to other TOA reflectance products, including those provided by the USGS.

Image Selection/Filtering

• The three most recent and cloud free images for any area are available by default.
• The entire archive is accessible via custom filtering.
• A number of fields are available for filtering, including Acquisition Date, Estimated Cloud Cover, and Product ID.
• Landsat_product_id distinguishes between Pre-Collection and Collection 1 data. More…
• By setting the filter to Best is lesser than QQQQ one can control to see the best N scenes, where QQQQ=N*1million.

NOTE: Turning off all filters, and loading the entire archive, may affect performance.

Visual Rendering

• Default rendering is Bathymetric (bands 4,3,1) with Dynamic Range Adjustment (DRA), useful in bathymetric mapping applications.
• Raster Functions enable on-the-fly rendering of band combinations and calculated indices from the source imagery.
• The DRA version of each layer enables visualization of the full dynamic range of the images.
• Other pre-defined Raster Functions can be selected via the renderer drop-down or custom functions can be created.
• This layer is part of a larger collection of Landsat Imagery Layers that you can use to perform a variety of mapping analysis tasks.
  
• Pre-defined functions: Natural Color with DRA, Agriculture with DRA, Geology with DRA, Color Infrared with DRA, Bathymetric with DRA, Short-wave Infrared with DRA, Normalized Difference Moisture Index Colorized, NDVI Raw, NDVI Colorized, NBR Raw
• 15 meter Landsat Imagery Layers are also available: Panchromatic and Pansharpened.
  

Multispectral Bands

The table below lists all available multispectral OLI bands. Bathymetric with DRA consumes bands 4,3,1.

NG911 GIS Data Management Platforms Market Outlook

According to our latest research, the NG911 GIS Data Management Platforms market size reached USD 1.32 billion in 2024 globally, with a robust compound annual growth rate (CAGR) of 14.8% projected from 2025 to 2033. By 2033, the market is forecasted to reach USD 4.27 billion, driven by increasing government mandates for advanced emergency communication systems, rising public safety concerns, and the rapid adoption of geographic information system (GIS) technologies to enhance emergency response precision. The market demonstrates significant momentum as public and private sectors invest in next-generation 911 (NG911) infrastructure, ensuring improved situational awareness and more efficient incident management.

One of the primary growth factors propelling the NG911 GIS Data Management Platforms market is the global transition from legacy E911 systems to advanced NG911 frameworks. Governments and regulatory bodies are mandating the adoption of NG911 standards to enable more accurate, data-rich, and timely emergency responses. The integration of GIS data management platforms has become vital for supporting real-time location tracking, dynamic call routing, and interoperability among emergency services. This shift is further supported by growing urbanization, which increases the complexity of emergency management and necessitates more sophisticated solutions for mapping, visualization, and data sharing across agencies. As a result, investments in NG911 GIS platforms are surging, especially in regions with high population densities and advanced digital infrastructure.

Another key driver for market growth is the proliferation of mobile devices and the increasing use of multimedia in emergency communications. With the rise of smartphones, citizens are now able to send texts, images, and videos to emergency services, demanding platforms that can process and manage large volumes of geospatial and multimedia data efficiently. NG911 GIS Data Management Platforms are uniquely positioned to address these requirements, offering robust capabilities for data integration, analysis, and visualization. This technological evolution is fostering collaboration between public safety agencies and private technology providers, accelerating the deployment of scalable, cloud-based solutions that can adapt to evolving communication needs while ensuring data security and privacy.

The market is also benefiting from significant advancements in cloud computing, artificial intelligence, and machine learning, which are enhancing the capabilities of NG911 GIS platforms. These technologies enable predictive analytics, automated location validation, and real-time mapping, empowering emergency responders with actionable insights and situational awareness. The adoption of cloud-based deployment models is particularly notable, as it allows organizations to scale their operations, improve disaster recovery, and reduce capital expenditures. Furthermore, ongoing research and development efforts are focused on integrating next-generation features such as indoor mapping, IoT device connectivity, and augmented reality, which are expected to unlock new opportunities and expand the market’s addressable scope in the coming years.

Regionally, North America continues to dominate the NG911 GIS Data Management Platforms market, accounting for over 44% of the global market share in 2024. This leadership is attributed to the early adoption of NG911 standards, substantial government funding, and a highly developed public safety infrastructure. Europe follows as the second-largest market, driven by regulatory harmonization and cross-border emergency communication initiatives. Meanwhile, the Asia Pacific region is witnessing the fastest growth, fueled by rapid urbanization, increasing investments in smart city projects, and rising awareness about the benefits of advanced GIS platforms for emergency management. As countries across Latin America and the Middle East & Africa begin to modernize their emergency response systems, the global market is expected to experience sustained growth throughout the forecast period.

The highlighted feature is seamlessly integrated into the individual department dashboards within the REP Hubsite, providing each department with a dynamic platform to present their key content. Departments are empowered to feature a variety of materials, such as posters, announcements, event details, important links, and other relevant resources, directly on their dashboards. This customizable capability allows departments to prominently display upcoming events, time-sensitive updates, and crucial public announcements, ensuring that their audiences stay informed and engaged. By offering a user-friendly interface for showcasing relevant information, this feature fosters better communication, encourages greater interaction, and strengthens the visibility of departmental initiatives, ultimately enhancing public awareness and participation.

This product has been archived in accordance with Federal Grant Compliance and is no longer actively updated. The site remains accessible for historical reference purposes.The highlighted feature is seamlessly integrated into the individual department dashboards within the REP Hubsite, providing each department with a dynamic platform to present their key content. Departments are empowered to feature a variety of materials, such as posters, announcements, event details, important links, and other relevant resources, directly on their dashboards. This customizable capability allows departments to prominently display upcoming events, time-sensitive updates, and crucial public announcements, ensuring that their audiences stay informed and engaged. By offering a user-friendly interface for showcasing relevant information, this feature fosters better communication, encourages greater interaction, and strengthens the visibility of departmental initiatives, ultimately enhancing public awareness and participation.

Pantograph Earthing Device for GIS Market Outlook

According to our latest research, the global Pantograph Earthing Device for GIS market size reached USD 512.4 million in 2024, driven by stringent safety regulations and the growing adoption of gas insulated switchgear (GIS) in power infrastructure. The market is projected to expand at a robust CAGR of 6.8% during the forecast period, reaching USD 954.1 million by 2033. This growth is primarily attributed to the increasing demand for reliable, safe, and maintenance-friendly earthing solutions in modern electrical substations and power plants, as well as ongoing investments in grid modernization and expansion projects worldwide.

The growth of the Pantograph Earthing Device for GIS market is underpinned by several critical factors, chief among them being the rapid expansion of urban infrastructure and the corresponding surge in electricity demand. As cities grow and urbanization accelerates, the need for efficient and space-saving power distribution systems such as GIS becomes paramount. Pantograph earthing devices play a vital role in ensuring the safety and operational reliability of these GIS installations by providing effective grounding during maintenance and emergency operations. Additionally, the increasing integration of renewable energy sources into the power grid is further fueling the adoption of GIS and, consequently, the demand for advanced earthing devices that can handle the complexities of modern electrical networks.

Another significant growth driver for the Pantograph Earthing Device for GIS market is the tightening of safety and environmental regulations across various regions. Regulatory bodies are mandating the use of high-performance earthing solutions to minimize the risk of electrical accidents and ensure compliance with international standards. This has led to a marked shift towards technologically advanced pantograph earthing devices that offer enhanced safety features, remote operation capabilities, and reduced maintenance requirements. The increasing focus on worker safety and the need for reliable operations in high-voltage environments are compelling utilities and industrial operators to invest in state-of-the-art earthing devices, thereby boosting market growth.

Technological advancements are also playing a pivotal role in shaping the trajectory of the Pantograph Earthing Device for GIS market. Innovations in automation, remote monitoring, and diagnostics are enabling manufacturers to develop smart pantograph earthing devices that can be seamlessly integrated into digital substations and smart grids. These next-generation devices offer real-time status updates, predictive maintenance alerts, and enhanced operational efficiency, making them highly attractive to utilities and large industrial end-users. The growing emphasis on digitalization and automation in the power sector is expected to further accelerate the adoption of advanced pantograph earthing devices in the coming years.

From a regional perspective, Asia Pacific continues to dominate the Pantograph Earthing Device for GIS market, accounting for the largest share in 2024. This dominance is driven by massive investments in power infrastructure, rapid industrialization, and the ongoing expansion of urban and rural electrification projects in countries such as China, India, and Japan. North America and Europe are also significant markets, fueled by grid modernization initiatives, stringent safety standards, and the replacement of aging electrical infrastructure. Meanwhile, the Middle East & Africa and Latin America are witnessing steady growth, supported by increasing investments in energy projects and the adoption of advanced GIS technology. Each region presents unique opportunities and challenges, shaping the overall dynamics of the global market.

Product Type Analysis

The Pantograph Earthing Device for GIS market is segmented by product type into Manual Pantograph Earthing Devices and Automatic Pantograph Earthi

Sentinel-2 Level-1C imagery with on-the-fly renderings for visualization. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.Sentinel-2 imagery can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity.Geographic CoverageGlobalContinental land masses from 65.4° South to 72.1° North, with these special guidelines:All coastal waters up to 20 km from the shoreAll islands greater than 100 km2All EU islandsAll closed seas (e.g. Caspian Sea)The Mediterranean Sea Temporal CoverageThis layer includes a rolling collection of Sentinel-2 imagery acquired within the past 14 months.This layer is updated daily with new imagery.The revisit time for each point on Earth is every 5 days.The number of images available will vary depending on location. Product LevelThis service provides Level-1C Top of Atmosphere imagery.Alternatively, Sentinel-2 Level-2A is also available. Image Selection/FilteringThe most recent and cloud free images are displayed by default.Any image available within the past 14 months can be displayed via custom filtering.Filtering can be done based on attributes such as Acquisition Date, Estimated Cloud Cover, and Tile ID.Tile_ID is computed as [year][month][day]T[hours][minutes][seconds]_[UTMcode][latitudeband][square]_[sequence]. More… Visual RenderingDefault rendering is Natural Color (bands 4,3,2) with Dynamic Range Adjustment (DRA).The DRA version of each layer enables visualization of the full dynamic range of the images.Rendering (or display) of band combinations and calculated indices is done on-the-fly from the source images via Raster Functions.Various pre-defined Raster Functions can be selected or custom functions created.Available renderings include: Agriculture with DRA, Bathymetric with DRA, Color-Infrared with DRA, Natural Color with DRA, Short-wave Infrared with DRA, Geology with DRA, NDMI Colorized, Normalized Difference Built-Up Index (NDBI), NDWI Raw, NDWI - with VRE Raw, NDVI – with VRE Raw (NDRE), NDVI - VRE only Raw, NDVI Raw, Normalized Burn Ratio, NDVI Colormap. Multispectral BandsBandDescriptionWavelength (µm)Resolution (m)1Coastal aerosol0.433 - 0.453602Blue0.458 - 0.523103Green0.543 - 0.578104Red0.650 - 0.680105Vegetation Red Edge0.698 - 0.713206Vegetation Red Edge0.733 - 0.748207Vegetation Red Edge0.773 - 0.793208NIR0.785 - 0.900108ANarrow NIR0.855 - 0.875209Water vapour0.935 - 0.9556010SWIR – Cirrus1.365 - 1.3856011SWIR-11.565 - 1.6552012SWIR-22.100 - 2.28020Additional NotesOverviews exist with a spatial resolution of 150m and are updated every quarter based on the best and latest imagery available at that time.To work with source images at all scales, the ‘Lock Raster’ functionality is available. NOTE: ‘Lock Raster’ should only be used on the layer for short periods of time, as the imagery and associated record Object IDs may change daily.This ArcGIS Server dynamic imagery layer can be used in Web Maps and ArcGIS Desktop as well as Web and Mobile applications using the REST based Image services API.Images can be exported up to a maximum of 4,000 columns x 4,000 rows per request. Data SourceSentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS, or alternatively access EarthExplorer or the Copernicus Data Space Ecosystem to download the scenes.For information on Sentinel-2 imagery, see Sentinel-2.

Beta Notice: This item is currently in beta and is intended for early access, testing, and feedback. It is not recommended for production use, as functionality and content are subject to change without notice.Sentinel-2, 10m Multispectral 13-band imagery, rendered on-the-fly. Available for visualization and analytics, this Imagery Layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.This imagery layer can be used for multiple purposes including but not limited to vegetation, plant health, land cover and environmental monitoring.Geographic CoverageGlobalContinental land masses from 65.4° South to 72.1° North, with these special guidelines:All coastal waters up to 20 km from the shoreAll islands greater than 100 km2All EU islandsAll closed seas (e.g. Caspian Sea)The Mediterranean SeaNote: Areas of interest going beyond the Mission baseline (as laid out in the Mission Requirements Document) will be assessed, and may be added to the baseline if sufficient resources are identified.Temporal CoverageThe revisit time for each point on Earth is every 5 days.This layer is updated daily with new imagery.This imagery layer is designed to include imagery collected within the past 14 months. Custom Image Services can be created for access to images older than 14 months.The number of images available will vary depending on location.Image Selection/FilteringThe most recent and cloud free image, for any location, is displayed by default.Any image available, within the past 14 months, can be displayed via custom filtering.Filtering can be done based on Acquisition Date, Estimated Cloud Cover, and Tile ID.Tile_ID is computed as [year][month][day]T[hours][minutes][seconds]_[UTMcode][latitudeband][square]_[sequence]. More…NOTE: Not using filters, and loading the entire archive, may affect performance.Analysis ReadyThis imagery layer is analysis ready with TOA correction applied.Visual RenderingDefault rendering is Color-Infrared (bands 8,4,3) with Dynamic Range Adjustment (DRA).This DRA version enables visualization of the full dynamic range of the images. The non-DRA version of this layer can be viewed by switching to the pre-defined Color Infrared raster function.Bands near-infrared, red, green with dynamic range adjustment applied. Healthy vegetation is bright red while stressed vegetation is dull red.Rendering (or display) of band combinations and calculated indices is done on-the-fly from the source images via Raster Functions.Various pre-defined Raster Functions can be selected or custom functions created.Available renderings include: Agriculture with DRA, Bathymetric with DRA, Natural Color with DRA, Short-wave Infrared with DRA, Geology with DRA, NDMI Colorized, Normalized Difference Built-Up Index (NDBI), NDWI Raw, NDWI - with VRE Raw, NDVI – with VRE Raw (NDRE), NDVI - VRE only Raw, NDVI Raw, Normalized Burn Ratio, NDVI Colormap.Multispectral BandsBandDescriptionWavelength (µm)Resolution (m)1Coastal aerosol0.433 - 0.453602Blue0.458 - 0.523103Green0.543 - 0.578104Red0.650 - 0.680105Vegetation Red Edge0.698 - 0.713206Vegetation Red Edge0.733 - 0.748207Vegetation Red Edge0.773 - 0.793208NIR0.785 - 0.900108ANarrow NIR0.855 - 0.875209Water vapour0.935 - 0.9556010SWIR – Cirrus1.365 - 1.3856011SWIR-11.565 - 1.6552012SWIR-22.100 - 2.28020Additional NotesOverviews exist with a spatial resolution of 150m and are updated every quarter based on the best and latest imagery available at that time.To work with source images at all scales, the ‘Lock Raster’ functionality is available.NOTE: ‘Lock Raster’ should only be used on the layer for short periods of time, as the imagery and associated record Object IDs may change daily.This ArcGIS Server dynamic imagery layer can be used in Web Maps and ArcGIS Desktop as well as Web and Mobile applications using the REST based Image services API.Images can be exported up to a maximum of 4,000 columns x 4,000 rows per request.Data SourceSentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS , or alternatively access Sentinel2Look Viewer, EarthExplorer or the Copernicus Open Access Hub to download the scenes.For information on Sentinel-2 imagery, see Sentinel-2.

Level III Ecoregions of the Continental United StatesThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Environmental Protection Agency (EPA), displays the Level III Ecoregions throughout the continental U.S. Per EPA, "Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85."Middle Atlantic Coastal PlainData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Level III Ecoregions in the US) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 7 (Omernik's Level III Ecoregions Of The Conterminous United States)OGC API Features Link: (Level III Ecoregions of the Continental United States - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: Level III and IV Ecoregions of the Continental United StatesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Biodiversity and Ecosystems Theme Community. Per the Federal Geospatial Data Committee (FGDC), Biodiversity and Ecosystems is defined as pertaining to, or describing, "the dynamic processes, interactions, distributions, and relationships between and among organisms and their environments."For other NGDA Content: Esri Federal Datasets

DescriptionOriginated from the GRDMS_Pub_Trial.Routes_Legacy feature class. The “DEC” records (secondary directions) were removed from this feature class. This layer can be combined with other on-system tables using dynamic segmentation. Last Update2024Update FrequencyAs neededData OwnerDivision of Transportation DevelopmentData ContactGIS Support UnitCollection Method ProjectionNAD83 / UTM zone 13NCoverage AreaStatewideTemporal Disclaimer/LimitationsThere are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.

This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows: Green (fast): 85 - 100% of free flow speeds Yellow (moderate): 65 - 85% Orange (slow); 45 - 65% Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

JOBS PROXIMITY INDEXSummaryThe jobs proximity index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block- group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location. More formally, the model has the following specification: Where i indexes a given residential block-group, and j indexes all n block groups within a CBSA. Distance, d, is measured as “as the crow flies” between block-groups i and j, with distances less than 1 mile set equal to 1. E represents the number of jobs in block-group j, and L is the number of workers in block-group j. The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. InterpretationValues are percentile ranked with values ranging from 0 to 100. The higher the index value, the better the access to employment opportunities for residents in a neighborhood. Data Source: Longitudinal Employer-Household Dynamics (LEHD) data, 2017. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. To learn more about the Jobs Proximity Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

This style consists of two, and only two, symbols. One pin point symbol and one paper polygon symbol.But they can be dynamically colored in the symbology panel. Here's a one-minute how to.

This layer describes the 2012-2032 development potential of buildable lands within the urban growth boundary of the City of Eugene, by tax lot and plan designation. Note that the development potential of each tax lot was effective as of May 20, 2013 and development or redevelopment since that date may have occurred but would not be reflected in this layer. Refer to the metadata for detailed attribute descriptions, and to Land Supply Maps for background and methodological information on the Buildable Lands Inventory.Terms of UseCaution: This layer is an illustration, and does not constitute the adopted buildable lands inventory, or an update to it. The 2012-2032 development potential displayed is effective as of May 20, 2013 and does not account for any development occurring since May 20, 2013. These data are intended for illustrative purposes and are not suitable for legal, engineering, or surveying purposes. This map is based upon imprecise source data and is subject to change.The maps and data available for access from the City of Eugene are provided "as is" without warranty or any representation of accuracy, timeliness or completeness. The burden for determining accuracy, completeness, timeliness, merchantability and fitness for or the appropriateness for use rests solely on the user accessing this information. The City of Eugene makes no warranties, expressed or implied, as to the use of the maps and data available for access at this website. There are no implied warranties of merchantability or fitness for a particular purpose. The user acknowledges and accepts all inherent limitations of the maps and data, including the fact that the maps and data are dynamic and in a constant state of maintenance, correction and revision. Any maps and associated data for access do not represent a survey. No liability is assumed for the accuracy of the data delineated on any map, either expressed or implied.Use limitations: This information is not intended to be redistributed in any other form.

Beta Notice: This item is currently in beta and is intended for early access, testing, and feedback. It is not recommended for production use, as functionality and content are subject to change without notice.Sentinel-2, 10 and 20m Multispectral 13-band imagery, rendered on-the-fly. Available for visualization and analytics, this Imagery Layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.This imagery layer can be used for multiple purposes including but not limited to plant health, deforestation, to distinguish between different crop types, land cover and environmental monitoring.Geographic CoverageGlobalContinental land masses from 65.4° South to 72.1° North, with these special guidelines: All coastal waters up to 20 km from the shoreAll islands greater than 100 km2All EU islandsAll closed seas (e.g. Caspian Sea)The Mediterranean SeaNote: Areas of interest going beyond the Mission baseline (as laid out in the Mission Requirements Document) will be assessed, and may be added to the baseline if sufficient resources are identified.Temporal CoverageThe revisit time for each point on Earth is every 5 days.This layer is updated daily with new imagery.This imagery layer is designed to include imagery collected within the past 14 months. Custom Image Services can be created for access to images older than 14 months.The number of images available will vary depending on location. Image Selection/Filtering The most recent and cloud free image, for any location, is displayed by default.Any image available, within the past 14 months, can be displayed via custom filtering.Filtering can be done based on Acquisition Date, Estimated Cloud Cover, and Tile ID.Tile_ID is computed as [year][month][day]T[hours][minutes][seconds]_[UTMcode][latitudeband][square]_[sequence]. More…NOTE: Not using filters, and loading the entire archive, may affect performance.Analysis ReadyThis imagery layer is analysis ready with TOA correction applied. Visual RenderingDefault rendering is Agriculture (bands 11,8,2) with Dynamic Range Adjustment (DRA). This DRA version enables visualization of the full dynamic range of the images. The non-DRA version of this layer can be viewed by switching to the pre-defined Agriculture raster function.Bands shortwave IR-1, near-IR, blue with dynamic range adjustment applied. Vigorous veg. is bright green, stressed veg. dull green and bare areas are brown.Rendering (or display) of band combinations and calculated indices is done on-the-fly from the source images via Raster Functions.Various pre-defined Raster Functions can be selected or custom functions created.Available renderings include: Bathymetric with DRA, Color-Infrared with DRA, Natural Color with DRA, Short-wave Infrared with DRA, Geology with DRA, NDMI Colorized, Normalized Difference Built-Up Index (NDBI), NDWI Raw, NDWI - with VRE Raw, NDVI – with VRE Raw (NDRE), NDVI - VRE only Raw, NDVI Raw, Normalized Burn Ratio, NDVI Colormap.Multispectral BandsBandDescriptionWavelength (µm)Resolution (m)1Coastal aerosol0.433 - 0.453602Blue0.458 - 0.523103Green0.543 - 0.578104Red0.650 - 0.680105Vegetation Red Edge0.698 - 0.713206Vegetation Red Edge0.733 - 0.748207Vegetation Red Edge0.773 - 0.793208NIR0.785 - 0.900108ANarrow NIR0.855 - 0.875209Water vapour0.935 - 0.9556010SWIR – Cirrus1.365 - 1.3856011SWIR-11.565 - 1.6552012SWIR-22.100 - 2.28020Additional Notes Overviews exist with a spatial resolution of 150m and are updated every quarter based on the best and latest imagery available at that time.To work with source images at all scales, the ‘Lock Raster’ functionality is available.NOTE: ‘Lock Raster’ should only be used on the layer for short periods of time, as the imagery and associated record Object IDs may change daily.This ArcGIS Server dynamic imagery layer can be used in Web Maps and ArcGIS Desktop as well as Web and Mobile applications using the REST based Image services API.Images can be exported up to a maximum of 4,000 columns x 4,000 rows per request.Data SourceSentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS , or alternatively access Sentinel2Look Viewer, EarthExplorer or the Copernicus Open Access Hub to download the scenes.For information on Sentinel-2 imagery, see Sentinel-2.

Digital representation of areas that met state mandated criteria for Locally Significant Wetlands per Oregon Administrative Rule 141-086-350, within the Eugene urban growth boundary. Wetland site boundaries were drawn by Pacific Habitat Services under contract to the City, and approved by the Oregon Department of State Lands in January 2005. Also see Water Resource Conservation Maps.Terms of UseThis product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. This layer does not constitute the adopted Goal 5 wetland resources, and users of this information should review or consult the primary data and information sources to ascertain the usability of this information. To verify information presented in this layer, contact the Planner-on-Duty at 541-682-5377.The maps and data available for access from the City of Eugene are provided "as is" without warranty or any representation of accuracy, timeliness or completeness. The burden for determining accuracy, completeness, timeliness, merchantability and fitness for or the appropriateness for use rests solely on the user accessing this information. The City of Eugene makes no warranties, expressed or implied, as to the use of the maps and data available for access at this website. There are no implied warranties of merchantability or fitness for a particular purpose. The user acknowledges and accepts all inherent limitations of the maps and data, including the fact that the maps and data are dynamic and in a constant state of maintenance, correction and revision. Any maps and associated data for access do not represent a survey. No liability is assumed for the accuracy of the data delineated on any map, either expressed or implied.

This dynamic map service provides access to County Boundaries in the Commonwealth of Kentucky. This service is used in several web mapping applications to highlight Kentucky’s counties by utilizing a random colors for the fill.

JOBS PROXIMITY INDEXSummaryThe jobs proximity index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block- group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location. More formally, the model has the following specification: Where i indexes a given residential block-group, and j indexes all n block groups within a CBSA. Distance, d, is measured as “as the crow flies” between block-groups i and j, with distances less than 1 mile set equal to 1. E represents the number of jobs in block-group j, and L is the number of workers in block-group j. The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. InterpretationValues are percentile ranked with values ranging from 0 to 100. The higher the index value, the better the access to employment opportunities for residents in a neighborhood. Data Source: ACS 2017 - 2021 5 year summary data. Longitudinal Employer-Household Dynamics (LEHD) data, 2017. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. To learn more about the Jobs Proximity Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 2017 - 2021 ACSDate Updated: 10/2023