This feature layer provides access to OpenStreetMap (OSM) highways data for Central America and Caribbean, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM line (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes highway features defined as a query against the hosted feature layer (i.e. highway is not blank).In OSM, a highway describes any kind of motorway, road, street or path. These features are identified with a highway tag. There are hundreds of different tag values for highway used in the OSM database. In this feature layer, unique symbols are used for several of the most popular highway types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:20k scale) to see the highway features display. You can click on a feature to get the name of the highway (if available). The name of the highway will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this highway layer displaying just one or two highway types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. highway is path), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. cycleway and pedestrian) that are ready to use, but not for every type of highway.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

These Log Transfer Facility (LTF) sites support the transfer of logs from the road system to offshore locations in the lower-48 or points abroad. These sites are permitted through the Alaska Department of Natural Resources and the Alaska Department of Environmental Conservation. Permits on all sites are current as of November 23, 2020. Historic LTF's or those no longer under permit will not appear here. Those can be found through ArcGIS online using keywords Alaska LTF or Log Transfer Facilities. That dataset is managed by the U.S. Forest Service.

This ArcGIS Online hosted feature service displays perimeters from the National Incident Feature Service (NIFS) that meet ALL of the following criteria:

Summary: An introduction to ArcGIS Online for K-12 studentsStorymap metadata page: URL forthcoming Possible K-12 Next Generation Science standards addressed:Grade level(s) 1: Standard 1-PS4-2 - Waves and their Applications in Technologies for Information Transfer - Make observations to construct an evidence-based account that objects can be seen only when illuminatedGrade level(s) 1: Standard 1-LS1-2 - From Molecules to Organisms: Structures and Processes - Read texts and use media to determine patterns in behavior of parents and offspring that help offspring surviveGrade level(s) 2: Standard 2-PS1-1 - Matter and its Interactions - Plan and conduct an investigation to describe and classify different kinds of materials by their observable propertiesGrade level(s) 2: Standard 2-PS1-2 - Matter and its Interactions - Analyze data obtained from testing different materials to determine which materials have the properties that are best suited for an intended purposeGrade level(s) 4: Standard 4-PS4-3 - Waves and their Applications in Technologies for Information Transfer - Generate and compare multiple solutions that use patterns to transfer informationGrade level(s) 6-8: Standard MS-PS4-3 - Waves and Their Applications in Technologies for Information Transfer - Integrate qualitative scientific and technical information to support the claim that digitized signals are a more reliable way to encode and transmit information than analog signalsGrade level(s) 9-12: Standard HS-PS3-5 - Energy - Develop and use a model of two objects interacting through electric or magnetic fields to illustrate the forces between objects and the changes in energy of the objects due to the interaction.Grade level(s) 9-12: Standard HS-PS4-4 - Waves and Their Applications in Technologies for Information Transfer - Evaluate the validity and reliability of claims in published materials of the effects that different frequencies of electromagnetic radiation have when absorbed by matter.Most frequently used words:tutorialtextvideoApproximate Flesch-Kincaid reading grade level: 10.2. The FK reading grade level should be considered carefully against the grade level(s) in the NGSS content standards above.

Mosaics are published as ArcGIS image serviceswhich circumvent the need to download or order data. GEO-IDS image services are different from standard web services as they provide access to the raw imagery data. This enhances user experiences by allowing for user driven dynamic area of interest image display enhancement, raw data querying through tools such as the ArcPro information tool, full geospatial analysis, and automation through scripting tools such as ArcPy.Image services are best accessed through the ArcGIS REST APIand REST endpoints (URL's). You can copy the OPS ArcGIS REST API link below into a web browser to gain access to a directory containing all OPS image services. Individual services can be added into ArcPro for display and analysis by using Add Data -> Add Data From Path and copying one of the image service ArcGIS REST endpoint below into the resultant text box. They can also be accessed by setting up an ArcGIS server connectionin ESRI software using the ArcGIS Image Server REST endpoint/URL. Services can also be accessed in open-source software. For example, in QGIS you can right click on the type of service you want to add in the browser pane (e.g., ArcGIS REST Server, WCS, WMS/WMTS) and copy and paste the appropriate URL below into the resultant popup window. All services are in Web Mercator projection.For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.caAvailable Products:ArcGIS REST APIhttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/Image Service ArcGIS REST endpoint / URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServerhttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServerWeb Coverage Services (WCS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WCSServer/Web Mapping Service (WMS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WMSServer/Metadata for all imagery products available in GEO-IDS can be accessed at the links below:South Central Ontario Orthophotography Project (SCOOP) 2023North-Western Ontario Orthophotography Project (NWOOP) 2022Central Ontario Orthophotography Project (COOP) 2021South-Western Ontario Orthophotography Project (SWOOP) 2020Digital Raster Acquisition Project Eastern Ontario (DRAPE) 2019-2020South Central Ontario Orthophotography Project (SCOOP) 2018North-Western Ontario Orthophotography Project (NWOOP) 2017Central Ontario Orthophotography Project (COOP) 2016South-Western Ontario Orthophotography Project (SWOOP) 2015Algonquin Orthophotography Project (2015)Additional Documentation:Ontario Web Raster Services User Guide (Word)Status:Completed: Production of the data has been completed Maintenance and Update Frequency:Annually: Data is updated every yearContact:Geospatial Ontario (GEO), geospatial@ontario.ca

This web map consists of vector tile layers that form a detailed basemap for the world, featuring a neutral style with content adjusted to support environment, landscape, natural resources, hydrologic and physical geography layers. The layers in this map provide unique capabilities for customization, high-resolution display and offline use in mobile devices. They are built using the same data sources used for other Esri basemaps.This web map consists of 4 vector tile layers: A vector tile reference layer for the world with administrative boundaries and labels; populated places with names; ocean names; topographic features; and rail, road, park, school, and hospital labels. A vector tile surface water layer for the world with rivers, lakes, streams, and canals with respective labels. A vector tile watersheds boundaries. A vector tile base layer for the world with vegetation, parks, farming areas, open space, indigenous lands, military bases, bathymetry, large scale contours, elevation values, airports, zoos, golf courses, cemeteries, hospitals, schools, urban areas, and building footprints. Designed by Emily Meriam, this map can be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. Fully display the content of this multisource map using Map Viewer, or current versions of Runtime and ArcGIS Pro. Customize this MapCustomize vector tile layers in this map using the Vector Tile Style Editor to change style, content, symbology, and fonts. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

Summary: These data represent the DWR edited version of statistically based polygons derived from GPS collared data on animals migrating in Utah from 2016 - 2021. The GPS data were analyzed using the Brownian Bridge Movement Model (BBMM), which produced polygons based on an animal’s movement path from data recorded at brief intervals. This model understands that location points are connected to each other in time. Every animal has its own footprint of its migration. Each animal’s averaged footprint is combined into one layer. Corridor level of use types are combined and clipped into one dataset and the level of use is classified:Low use: 0 - 25% of the populationMedium use: 25 - 75% of the populationHigh Use: > 75% of the population (after Sawyer and others, 2009)Stopovers are extracted from the combined footprints and defined as the top 10% of the values. Stopover sites show where the animals spend most of their time during migration, and are likely used as foraging and resting areas. References:Sawyer, H., Kauffman, M. J., Nielson, R. M., & Horne, J. S. (2009). Identifying and prioritizing ungulate migration routes for landscape‐level conservation. Ecological Applications, 19(8), 2016-2025.

This map shows the relationship between Federal payments toward conservation and wetlands and payments toward producers not including conservation/wetlands. The data is produced by the USDA National Agricultural Statistics Service (USDA).Areas in yellow show where there are high amounts of Federal payments toward Conservation in comparison to other types, whereas areas in light blue have a higher amount of Federal payments toward all other agriculture in comparison to Conservation. Areas in black have an overall high amount of both types of payments. The map uses size to emphasize which counties received the overall largest receipts in US dollars.In 2017, the average farm received an average of $13,906, and conservation/wetland programs received and average of $6,980. These are the central colors of the map in order to anchor the map around the national figure. Areas with a pattern above or below the national average are highlighted by the colors along the edges of the legend (mentioned in the previous paragraph). For more information about Federal payments in 2017, visit this summary table from the USDA.For more information about the relationship mapping style used in this map, visit this blog. About the data and source:The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides a in-depth look at the agricultural industry.This layer summarizes payments made to producers by the Federal government from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online.Dataset SummaryPhenomenon Mapped: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.

Summary: These data represent the DWR edited version of statistically based polygons derived from GPS collared data on animals migrating in Utah from 2016 - 2021. The GPS data were analyzed using the Brownian Bridge Movement Model (BBMM), which produced polygons based on an animal’s movement path from data recorded at brief intervals. This model understands that location points are connected to each other in time. Every animal has its own footprint of its migration. Each animal’s averaged footprint is combined into one layer. Corridor level of use types are combined and clipped into one dataset and the level of use is classified:Low use: 0 - 25% of the populationMedium use: 25 - 75% of the populationHigh Use: > 75% of the population (after Sawyer and others, 2009)Stopovers are extracted from the combined footprints and defined as the top 10% of the values. Stopover sites show where the animals spend most of their time during migration, and are likely used as foraging and resting areas. References:Sawyer, H., Kauffman, M. J., Nielson, R. M., & Horne, J. S. (2009). Identifying and prioritizing ungulate migration routes for landscape‐level conservation. Ecological Applications, 19(8), 2016-2025.

This feature layer, Appalachian Raptors Migration Corridor & Habitat, contains geometry and attribute data for bird migration areas and national forest boundaries. This data originates with the American Bird Conservancy (ABC).Source and date:The data was extracted from a feature layer displayed in the American Bird Conservancy’s Wind Risk Assessment Map. Obtained August 2020.The source for ABC’s creation of this map is written in the map details:Bird area boundaries are derived from existing federal, or other, GIS layers, or produced by the American Bird Conservancy (ABC) using the best available data, maps, and expert staff opinion. At present, insufficient quantitative data exist to establish firm boundaries for most migration corridors, and boundaries may also shift from year to year depending on weather and other conditions. The boundaries of these areas are based on ABC’s expert judgment on where the greatest concentration of birds will be present during regular migration periods.Purpose:This source was created to show the areas where various birds are known to fly and national forests that serve as important bird areas. The ABC designed this map, which highlights areas that should be avoided to protect birds, for wind energy developers to use as a resource. This layer focuses on the Appalachian Raptor Migration Corridor, the Golden Eagle Migration Corridor, and the George Washington and Jefferson National Forests.Processing:ABRA extracted the Appalachian Raptor Migration Corridor, the Golden Eagle Migration Corridor, and the George Washington and Jefferson National Forests to a shapefile, then published to ArcGIS Online to create this feature layer.Symbolization:The following symbolizations are how they appear in the Rocky Forge Wind online map provided by ABRA.Orange (50 percent): light orange polygonsOrange: orange polygons

Statewide 2016 Lidar points colorized with 2018 NAIP imagery as a scene created by Esri using ArcGIS Pro for the entire State of Connecticut. This service provides the colorized Lidar point in interactive 3D for visualization, interaction of the ability to make measurements without downloading.Lidar is referenced at https://cteco.uconn.edu/data/lidar/ and can be downloaded at https://cteco.uconn.edu/data/download/flight2016/. Metadata: https://cteco.uconn.edu/data/flight2016/info.htm#metadata. The Connecticut 2016 Lidar was captured between March 11, 2016 and April 16, 2016. Is covers 5,240 sq miles and is divided into 23, 381 tiles. It was acquired by the Captiol Region Council of Governments with funding from multiple state agencies. It was flown and processed by Sanborn. The delivery included classified point clouds and 1 meter QL2 DEMs. The 2016 Lidar is published on the Connecticut Environmental Conditions Online (CT ECO) website. CT ECO is the collaborative work of the Connecticut Department of Energy and Environmental Protection (DEEP) and the University of Connecticut Center for Land Use Education and Research (CLEAR) to share environmental and natural resource information with the general public. CT ECO's mission is to encourage, support, and promote informed land use and development decisions in Connecticut by providing local, state and federal agencies, and the public with convenient access to the most up-to-date and complete natural resource information available statewide.Process used:Extract Building Footprints from Lidar1. Prepare Lidar - Download 2016 Lidar from CT ECO- Create LAS Dataset2. Extract Building Footprints from LidarUse the LAS Dataset in the Classify Las Building Tool in ArcGIS Pro 2.4.Colorize LidarColorizing the Lidar points means that each point in the point cloud is given a color based on the imagery color value at that exact location.1. Prepare Imagery- Acquire 2018 NAIP tif tiles from UConn (originally from USDA NRCS).- Create mosaic dataset of the NAIP imagery.2. Prepare and Analyze Lidar Points- Change the coordinate system of each of the lidar tiles to the Projected Coordinate System CT NAD 83 (2011) Feet (EPSG 6434). This is because the downloaded tiles come in to ArcGIS as a Custom Projection which cannot be published as a Point Cloud Scene Layer Package.- Convert Lidar to zlas format and rearrange. - Create LAS Datasets of the lidar tiles.- Colorize Lidar using the Colorize LAS tool in ArcGIS Pro. - Create a new LAS dataset with a division of Eastern half and Western half due to size limitation of 500GB per scene layer package. - Create scene layer packages (.slpk) using Create Cloud Point Scene Layer Package. - Load package to ArcGIS Online using Share Package. - Publish on ArcGIS.com and delete the scene layer package to save storage cost.Additional layers added:Visit https://cteco.uconn.edu/projects/lidar3D/layers.htm for a complete list and links. 3D Buildings and Trees extracted by Esri from the lidarShaded Relief from CTECOImpervious Surface 2012 from CT ECONAIP Imagery 2018 from CTECOContours (2016) from CTECOLidar 2016 Download Link derived from https://www.cteco.uconn.edu/data/download/flight2016/index.htm

A web map displaying net migration at the county level for the United States over ten years (2011-2020). Data for this map was sourced from the Internal Revenue Service.

This feature layer provides Esri 2014/2019 demographic estimates for categories including population, age, income, race, occupation, industry and more. Data is available from country to block group level. Click the data tab for a full list of attributes. This is a ready-to-use layer for ArcGIS Pro, ArcGIS Online, configurable apps, dashboards, Insights, Story Maps, custom apps, and mobile apps. The service is intended as an archive to the retired 2014 Esri Demographics map services optimized for trending, comparison, analysis and smart mapping. For methodology information, see Esri's 2014/2019 white paper.

This map used in this dashboard summarizes payments made to producers by the Federal government from the 2017 Census of Agriculture at the county level.It is consumed in a corresponding dashboard for quick statistics about the counties receiving the highest federal payments. The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides a in-depth look at the agricultural industry.The layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online.Dataset SummaryPhenomenon Mapped: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017

Bucknell's summer 2015 "New Orleans in 12 Movements" course aims to help students view New Orleans' natural environment, built infrastructure, and human experience in an integrated way. The course is co-taught by faculty from 3 departments and includes a week of field work in New Orleans. In this course, students will develop an integrated, holistic understanding of how the city of New Orleans has evolved over time. To support this learning, students have been provided an ArcGIS Online web-based map containing key cultural and historic information about New Orleans selected by their instructors. This interactive tool will enable them to explore New Orleans’ natural environment, built infrastructure and human experience through a variety of lenses. Faculty will use the map to deliver presentations and course materials to students. Students will use their own copy of the map to take notes, complete and deliver course assignments, and add their own materials to the course collection. Link to ArcGIS Online resource guide for class: click hereLink to data dictionary for NOLA class map layers: click hereLink to class website/blog: click here

Urban Tree Canopy Assessment. This was created using the Urban Tree Canopy Syracuse 2010 (All Layers) file HERE.The data for this map was created using LIDAR and other spatial analysis tools to identify and measure tree canopy in the landscape. This was a collaboration between the US Forest Service Northern Research Station (USFS), the University of Vermont Spatial Laboratory, and SUNY ESF. Because the full map is too large to be viewed in ArcGIS Online, this has been reduced to a vector tile layer to allow it to be viewed online. To download and view the shapefiles and all of the layers, you can download the data HERE and view this in either ArcGIS Pro or QGIS.Data DictionaryDescription source  USDA Forest ServiceList of values  Value 1 Description Tree CanopyValue 2 Description Grass/ShrubValue 3 Description Bare SoilValue 4 Description WaterValue 5 Description BuildingsValue 6 Description Roads/RailroadsValue 7 Description Other PavedField Class Alias Class Data type String Width 20Geometric objects  Feature class name landcover_2010_syracusecity Object type  complex Object count 7ArcGIS Feature Class Properties Feature class name landcover_2010_syracusecity Feature type  Simple Geometry type Polygon Has topology FALSE Feature count 7 Spatial index TRUE Linear referencing  FALSEDistributionAvailable format  Name ShapefileTransfer options  Transfer size 163.805Description Downloadable DataFieldsDetails for object landcover_2010_syracusecityType Feature Class Row count  7 Definition  UTCField FIDAlias FID Data type OID Width  4 Precision 0 Scale 0Field descriptionInternal feature number.Description source ESRIDescription of valueSequential unique whole numbers that are automatically generated.Field ShapeAlias Shape Data type Geometry Width 0 Precision 0 Scale 0Field description Feature geometry.Description source  ESRIDescription of values Coordinates defining the features.Field CodeAlias Code Data type Number Width 4Overview Description  Metadata DetailsMetadata language  English Metadata character set utf8 - 8 bit UCS Transfer FormatScope of the data described by the metadata  dataset Scope name  datasetLast update 2011-06-02ArcGIS metadata properties Metadata format ArcGIS 1.0 Metadata style North American Profile of ISO19115 2003Created in ArcGIS for the item 2011-06-02 16:48:35 Last modified in ArcGIS for the item 2011-06-02 16:44:43Automatic updates Have been performed Yes Last update 2011-06-02 16:44:43Item location history  Item copied or moved 2011-06-02 16:48:35 From T:\TestSites\NY\Syracuse\Temp\landcover_2010_syracusecity To \T7500\F$\Export\LandCover_2010_SyracuseCity\landcover_2010_syracusecity

This map shows where crops exist in the US. It also shows the quantity of farm workers along with their annual income. This is shown by metro and nonmetro areas.The layers within this map can be found in ArcGIS Living Atlas of the World:USA Cropland (requires an ArcGIS Online subscription) National Agricultural Statistics Service (NASS)Farming, Fishing, and Forestry Employment and WagesBureau of Labor Statistics' (BLS) Occupation Employment Statistics (OES) seriesThe basemap was designed from the Light Gray Canvas basemap. Minor changes were made using the Vector Style Editor within Map Viewer.

This vector tile layer provides a detailed basemap for the world symbolized with a classic Esri street map style. The vector tile layer is similar in content and style to the World Street Map, which is delivered as a raster fused map cache tile layer. This vector tile layer provides unique capabilities for customization and high-resolution display.This comprehensive street map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. The vector tile layer is built using the same data sources used for the raster basemap World Street Map and other Esri basemaps. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority. Use this MapThis map is designed to be used as a basemap layer or reference layer in a web map. You can add this layer to a web map and save as your own map. If you would like to use this map as a basemap layer in a web map, you may use the vector basemap Streets web map.Customize this MapBecause this map is delivered as a vector tile layer, users can customize the map to change its content and symbology, including fonts. Users are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. See the Vector Basemap group for other vector tile layers. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog and view the Esri Vector Basemaps Reference Document.

Bucknell's summer 2015 "New Orleans in 12 Movements" course aims to help students view New Orleans' natural environment, built infrastructure, and human experience in an integrated way. The course is co-taught by faculty from 3 departments and includes a week of field work in New Orleans. In this course, students will develop an integrated, holistic understanding of how the city of New Orleans has evolved over time. To support this learning, students have been provided an ArcGIS Online web-based map containing key cultural and historic information about New Orleans selected by their instructors. This interactive tool will enable them to explore New Orleans’ natural environment, built infrastructure and human experience through a variety of lenses. Faculty will use the map to deliver presentations and course materials to students. Students will use their own copy of the map to take notes, complete and deliver course assignments, and add their own materials to the course collection. Link to ArcGIS Online resource guide for class: click hereLink to data dictionary for NOLA class map layers: click hereLink to class website/blog: click here

Censo INEGI 2020 Información Migración Municipal /INEGI Census 2020 Migration Information by MunicipalityEsta capa muestra la información del estatus migratorio de la población en México a nivel municipal. También hay atributos, que representan estas características como porcentaje del total de la población municipal, que se pueden mapear o utilizar en el análisis.La capa está simbolizada por el porcentaje de población femenina nacida en otra entidad, a nivel municipal. Para ver la lista completa de atributos disponibles en este servicio, vaya a la pestaña "Datos" y seleccione "Campos" en la parte superior derecha.Esta capa lista para usar se puede usar dentro de ArcGIS Pro, ArcGIS Online, sus aplicaciones configurables, paneles, Story Maps, aplicaciones personalizadas y aplicaciones móviles. Los datos también se pueden exportar para flujos de trabajo sin conexión. Por favor, cite al INEGI (Instituto Nacional de Estadística y Geografía) cuando utilice estos datos.Información adicional sobre documentación y metodología del censo se puede encontrar en Censo Población y Vivienda 2020 (inegi.org.mx)_This layer shows migratory status of the population in Mexico at a municipal level. There are also attributes, representing these characteristics as percentage of total municipal population, which can be mapped or used within analysis. The layer is symbolized by the percentage of female population born at a different state from the one where they currently reside, at the municipal level. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite INEGI (Instituto Nacional de Estadistica y Geografia) when using this data.Additional information regarding documentation and methodology regarding the census can be found at Censo Población y Vivienda 2020 (inegi.org.mx)