100+ datasets found
  1. a

    Redlining Sample Experience Builder: A look at PA

    • mapsgislib-pennstate.hub.arcgis.com
    Updated Nov 18, 2020
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    tll38_pennstate (2020). Redlining Sample Experience Builder: A look at PA [Dataset]. https://mapsgislib-pennstate.hub.arcgis.com/items/7d24afe775f6418d96251186dcb529c3
    Explore at:
    Dataset updated
    Nov 18, 2020
    Dataset authored and provided by
    tll38_pennstate
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Pennsylvania
    Description

    This is a sample experience depicting functionality of the ArcGIS Experience Builder using data within ArcGIS Online for instructional purposes. Created as a sample Experience to illustrate a Pennsylvania focused map application using data layers publicly available within ArcGIS Online, and having multiple pages of content to showcase the inclusion of multiple maps.Donald W. Hamer Center for Maps and Geospatial Information, Penn State University Libraries.

  2. Getting to Know Web GIS, fourth edition

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 13, 2020
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    Esri Portugal - Educação (2020). Getting to Know Web GIS, fourth edition [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/getting-to-know-web-gis-fourth-edition
    Explore at:
    Dataset updated
    Aug 13, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Portugal - Educação
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.

  3. D

    Disability and Health Insurance - Seattle Neighborhoods

    • data.seattle.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Disability and Health Insurance - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Disability-and-Health-Insurance-Seattle-Neighborho/nxn5-xp4j
    Explore at:
    application/rssxml, application/rdfxml, tsv, csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on disabilities and health insurance related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes C21007 Age by Veteran Status by Poverty Status in the Past 12 Months by Disability Status, B27010 Types of Health Insurance Coverage by Age, B22010 Receipt of Food Stamps/SNAP by Disability Status for Households. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023
    ACS Table(s): C21007, B27010, B22010


    The United States Census Bureau's American Community Survey (ACS):
    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 the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data

  4. Wetlands (Hosted Tile Layer)

    • data.cnra.ca.gov
    • data.ca.gov
    • +5more
    Updated Mar 22, 2024
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    California Energy Commission (2024). Wetlands (Hosted Tile Layer) [Dataset]. https://data.cnra.ca.gov/dataset/wetlands-hosted-tile-layer
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Mar 22, 2024
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is available for download from: Wetlands (File Geodatabase).

    Wetlands in California are protected by several federal and state laws, regulations, and policies. This layer was extracted from the broader land cover raster from the CA Nature project which was recently enhanced to include a more comprehensive definition of wetland. This wetlands dataset is used as an exclusion as part of the biological planning priorities in the CEC 2023 Land-Use Screens.

    This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.

    For more information about this layer and its use in electric system planning, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library.

    Change Log

    Version 1.1 (January 26, 2023)

    • Full resolution of wetlands replaced a coarser resolution version that was previously shared. Also, file type changed from polygon to raster (feature service to tile layer service).

  5. V

    Pet-Friendly Loudoun

    • data.virginia.gov
    • catalog.data.gov
    Updated Aug 23, 2024
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    Loudoun County (2024). Pet-Friendly Loudoun [Dataset]. https://data.virginia.gov/dataset/pet-friendly-loudoun
    Explore at:
    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Aug 23, 2024
    Dataset provided by
    Loudoun County GIS
    Authors
    Loudoun County
    Area covered
    Loudoun County
    Description

    To use browser translation, open each application in a new window here: All Pet-Friendly Resources; Veterinary Clinics; Pet-Friendly Parks; Pet-Friendly Dining

  6. Wetlands (File Geodatabase)

    • data.ca.gov
    • data.cnra.ca.gov
    • +3more
    html
    Updated Dec 20, 2024
    + more versions
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    California Energy Commission (2024). Wetlands (File Geodatabase) [Dataset]. https://data.ca.gov/dataset/wetlands-file-geodatabase
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Wetlands in California are protected by several federal and state laws, regulations, and policies. This layer was extracted from the broader vegetation raster from the CA Nature project which was recently enhanced to include a more comprehensive definition of wetland. This wetlands dataset is used as an exclusion as part of the biological planning priorities in the CEC 2023 Land-Use Screens.

    This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.

    For more information about this layer and its use in electric system planning, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library.

  7. Summarize ESRI Experience Builder Regions within ESRI Experience Builder...

    • usfs.hub.arcgis.com
    Updated Jun 21, 2021
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    U.S. Forest Service (2021). Summarize ESRI Experience Builder Regions within ESRI Experience Builder Regions copy [Dataset]. https://usfs.hub.arcgis.com/maps/1c988a7087ab44e680551ffe80755a90
    Explore at:
    Dataset updated
    Jun 21, 2021
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    Area covered
    Description

    Feature layer generated from running the Summarize Within solution. ESRI Experience Builder Regions were summarized within ESRI Experience Builder Regions - copy

  8. A

    Climate Explorer User Guide

    • data.amerigeoss.org
    • data.cnra.ca.gov
    • +3more
    Updated Apr 15, 2022
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    United States (2022). Climate Explorer User Guide [Dataset]. https://data.amerigeoss.org/dataset/climate-explorer-user-guide
    Explore at:
    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Apr 15, 2022
    Dataset provided by
    United States
    Description

    This guide will introduce the Climate Explorer and will familiarize you with key features and capabilities.

    The Climate Explorer provides three interactive viewers allowing users to explore predicted changes in temperature and precipitation, sea level rise and storm severity, and opportunities to implement nature-based solutions, which are actions that work with and enhance nature to help address societal challenges on California’s landscapes.

  9. l

    CEO LA County Population Below Poverty Level

    • geohub.lacity.org
    • data.lacounty.gov
    • +3more
    Updated Aug 18, 2022
    + more versions
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    County of Los Angeles (2022). CEO LA County Population Below Poverty Level [Dataset]. https://geohub.lacity.org/maps/792ae11446e9459eae892cb193bc2f60
    Explore at:
    Dataset updated
    Aug 18, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description
  10. GeoForm (Deprecated)

    • noveladata.com
    Updated Jul 2, 2014
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    esri_en (2014). GeoForm (Deprecated) [Dataset]. https://www.noveladata.com/items/931653256fd24301a84fc77955914a82
    Explore at:
    Dataset updated
    Jul 2, 2014
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Geoform is a configurable app template for form based data editing of a Feature Service. This application allows users to enter data through a form instead of a map's pop-up while leveraging the power of the Web Map and editable Feature Services. This app geo-enables data and workflows by lowering the barrier of entry for completing simple tasks. Use CasesProvides a form-based experience for entering data through a form instead of a map pop-up. This is a good choice for users who find forms a more intuitive format than pop-ups for entering data.Useful to collect new point data from a large audience of non technical staff or members of the community.Configurable OptionsGeoform has an interactive builder used to configure the app in a step-by-step process. Use Geoform to collect new point data and configure it using the following options:Choose a web map and the editable layer(s) to be used for collection.Provide a title, logo image, and form instructions/details.Control and choose what attribute fields will be present in the form. Customize how they appear in the form, the order they appear in, and add hint text.Select from over 15 different layout themes.Choose the display field that will be used for sorting when viewing submitted entries.Enable offline support, social media sharing, default map extent, locate on load, and a basemap toggle button.Choose which locate methods are available in the form, including: current location, search, latitude and longitude, USNG coordinates, MGRS coordinates, and UTM coordinates.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

  11. HABs and Hypoxia Projects Table

    • prod.testopendata.com
    Updated Oct 24, 2023
    + more versions
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    NOAA GeoPlatform (2023). HABs and Hypoxia Projects Table [Dataset]. https://prod.testopendata.com/maps/noaa::habs-and-hypoxia-projects-table
    Explore at:
    Dataset updated
    Oct 24, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data table is an overview of project locations that were included in the National Centers for Coastal Ocean Science's HABs and Hypoxia Program Review.See the HABs and Hypoxia Program Review website: https://experience.arcgis.com/experience/b82102ea67ba4d4f8339baecba2aa29f

  12. Where To Fish For Application

    • data.ct.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Sep 7, 2024
    + more versions
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    Department of Energy and Environmental Protection (2024). Where To Fish For Application [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/Where-To-Fish-For-Application/te8d-v73s
    Explore at:
    csv, application/rssxml, tsv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 7, 2024
    Dataset provided by
    Connecticut Department of Energy and Environmental Protectionhttps://www.ct.gov/deep
    Authors
    Department of Energy and Environmental Protection
    Description

    Where to Fish For Application

    New to the state? New to fishing? Want to find a new place to fish? Have you always wanted to catch a Black Crappie but don’t know where to go? Well then, check out CT DEEP Fisheries Division’s “'https://experience.arcgis.com/experience/e02d8026889042c7aa2d71be67a72b9c' rel='nofollow ugc'>Where to fish for…” application.

    This simple interactive map, co-developed by CT DEEP GIS and the Fisheries Division is intended to augment our “Fish with CARE” learn to fish events. At the events, the most common question by far was, “Where can I fish near me…”. This map provides the ideal solution for both novice and experienced anglers alike. The data powering the map was collected over the past decade through routine monitoring by the Fisheries Division of public lakes, ponds and the CT River. This new map joins two previously developed interactive maps, one for Rivers/Streams (Interactive Trout Stocking Map) and one for our shoreline access, charter boats, and tackle shops (Saltwater Resources map) also help to get people onto the fish.

    This video provides a quick tutorial on some of the key features.

  13. t

    COVID-19 Vaccinations by Zip Code

    • data-academy.tempe.gov
    • performance.tempe.gov
    • +1more
    Updated Mar 3, 2021
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    City of Tempe (2021). COVID-19 Vaccinations by Zip Code [Dataset]. https://data-academy.tempe.gov/datasets/tempegov::covid-19-vaccinations-by-zip-code/about
    Explore at:
    Dataset updated
    Mar 3, 2021
    Dataset authored and provided by
    City of Tempe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Updated: As of 7/3/2021 the Arizona Department of Health Services is no longer updated its vaccination data. This item has been deprecated as a result.This table provides a daily log of confirmed COVID-19 vaccinations by Zip Code for the state of Arizona. Data are provided by the Arizona Department of Health Services (ADHS). Data Source: Arizona Department of Health Services (AZDHS) daily COVID-19 vaccinations report by zip code (https://experience.arcgis.com/experience/bcf70a0f5cac4262a411166dbcac9053). Daily Change is calculated by taking the current day’s vaccination value for a given Postal Code and subtracting the prior day’s value. This resulting value is the Daily Change. Based on reporting from ADHS Daily Change may be a positive or negative number or 0 if no change has been reported. Arizona Department of Health Services (AZDHS) data are scheduled for daily updates at 9:00 AM (COVID-19 cases) and 12:00 PM (COVID-19 vaccinations), but the times when the AZDHS releases that days COVID-19 cases and vaccinations may vary. City of Tempe data are updated each afternoon at 3:00 PM to allow for possible AZDHS delays. When there are AZDHS delays in updating the daily data, dashboard data updates may be delayed by 24 hours. The charts and daily values list can be used to confirm the date of the most recent counts on the COVID-19 cases and vaccinations dashboards. If data are not released by the time of the scheduled daily dashboard refresh, that day's values may appear on the dashboard as an addition to the next day's value.---------------------------------------------------Please also see the following items for up-to-date COVID-19 vaccination data:COVID-19 Vaccination Rates by Zip Code (Maricopa County)https://data.tempe.gov/datasets/covid-19-vaccination-rates-by-zip-code-maricopa-county/exploreCOVID-19 Vaccination Rates by City (Maricopa County)https://data.tempe.gov/datasets/covid-19-vaccination-rates-by-city-maricopa-county/explore ---------------------------------------------------Additional InformationSource: Arizona Department of Health Services (AZDHS) daily COVID-19 vaccinations report by zip code (https://experience.arcgis.com/experience/bcf70a0f5cac4262a411166dbcac9053)Contact (author): n/aContact E-Mail (author): n/aContact (maintainer): City of Tempe Open Data TeamContact E-Mail (maintainer): data@tempe.govData Source Type: TablePreparation Method: Data are exposed via ArcGIS Server and its REST API.Publish Frequency: DailyPublish Method: Data are downloaded each afternoon once ADHS updates its public API. Data are transformed and appended to a table in Tempe’s Enterprise GIS.Data Dictionary

  14. D

    Household Types and Populations - Seattle Neighborhoods

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    • +1more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Household Types and Populations - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Household-Types-and-Populations-Seattle-Neighborho/8nez-wmwv
    Explore at:
    xml, csv, tsv, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023


    The United States Census Bureau's American Community Survey (ACS):
    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 the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k <a href='https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit; margin:0px;

  15. d

    DC Atlas Plus

    • datasets.ai
    21, 3
    Updated Oct 7, 2024
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    District of Columbia (2024). DC Atlas Plus [Dataset]. https://datasets.ai/datasets/dc-atlas-plus
    Explore at:
    3, 21Available download formats
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    District of Columbia
    Area covered
    Washington
    Description

    DC Atlas Plus is a mapping tool that contains hundreds of different data layers, organized by category. DC Atlas Plus is the updated version of DC Atlas, which was created by OCTO GIS, as an easy way to view geographic information about the District of Columbia. This new and improved version of DC Atlas allows you to search for addresses, intersections, or place names; analyze and identify data; and create maps that you can share. For detailed instructions on how to use DC Atlas Plus, please use the Guide, located on the Help menu.


    ** DC Atlas Plus will soon be sunset for DC Atlas Pro

  16. NYC Stormwater Flood Maps

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Jul 3, 2024
    + more versions
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    Department of Environmental Protection (DEP) (2024). NYC Stormwater Flood Maps [Dataset]. https://data.cityofnewyork.us/Environment/NYC-Stormwater-Flood-Maps/9i7c-xyvv
    Explore at:
    tsv, csv, application/rdfxml, json, application/rssxml, xmlAvailable download formats
    Dataset updated
    Jul 3, 2024
    Dataset provided by
    New York City Department of Environmental Protectionhttp://www.nyc.gov/dep
    Authors
    Department of Environmental Protection (DEP)
    Area covered
    New York
    Description

    A collection of citywide Geographic Information System (GIS) layers that show areas of potential flooding scenarios under varying sea level rise conditions. Please see the New York City Stormwater Resiliency Plan for more information about the methodology applied to develop the maps. Please direct questions or comments to StormwaterResiliency@cityhall.nyc.gov.

    This collection contains the following NYC Stormwater Flood Maps:

    • NYC Stormwater Flood Map - Extreme Flood (3.66 inches/hr) with 2080 Sea Level Rise
    • NYC Stormwater Flood Map - Moderate Flood (2.13 inches/hr) with 2050 Sea Level Rise
    • NYC Stormwater Flood Map - Moderate Flood (2.13 inches/hr) with Current Sea Levels
    • NYC Stormwater Flood Map - Limited Flood (1.77 inches/hr) with Current Sea Levels
    https://www1.nyc.gov/assets/orr/pdf/publications/stormwater-resiliency-plan.pdf

    Source Data: http://nyc.gov/stormwater-map

  17. l

    Eaton Fire Demographics

    • data.lacounty.gov
    Updated Feb 10, 2025
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    County of Los Angeles (2025). Eaton Fire Demographics [Dataset]. https://data.lacounty.gov/documents/e8624907d850438991aa453752857d19
    Explore at:
    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    County of Los Angeles
    Description
  18. D

    Race in Combination (transposed) - Seattle Neighborhoods

    • data.seattle.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Race in Combination (transposed) - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Race-in-Combination-transposed-Seattle-Neighborhoo/rtzm-44i5
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    xml, application/rdfxml, json, csv, application/rssxml, tsvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on race and ethnicity related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B03002 Hispanic or Latino Origin by Race, B02008-B02013 Race Alone or in Combination with One or More Other. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023


    The United States Census Bureau's American Community Survey (ACS):
    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 the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles<span style='font-family:inherit; margin:0px;

  19. g

    European Local Election 2024 FCC | gimi9.com

    • gimi9.com
    Updated Jun 28, 2024
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    (2024). European Local Election 2024 FCC | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_e2173070-409a-4e3a-8136-d1f2db40c06f
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    Dataset updated
    Jun 28, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Mapping of Election Locations - please click or visit www.fingal.iehttps://experience.arcgis.com/experience/4c0f5ccaa2884150a0fc4d7bfd8d96e3/?draft=true.

  20. e

    Metrex Borders EU 2024

    • data.europa.eu
    • opendata.zuid-holland.nl
    • +1more
    wfs
    Updated Mar 5, 2024
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    (2024). Metrex Borders EU 2024 [Dataset]. https://data.europa.eu/data/datasets/92e773ee-e626-4a0b-985b-39b700cbf7a4?locale=en
    Explore at:
    wfsAvailable download formats
    Dataset updated
    Mar 5, 2024
    Area covered
    European Union
    Description

    These are the borders of the Metrex regions and areas based on the information available in the Metrex website, drawn by data scientists from the province of South-Holland in December of 2023. Our goal is to correct and update this layer together with the members. The dataset contains added information about the organisation types of the members.

    Created for the Mapping METREX GIS-viewer, hosted by province South-Holland. Link to the viewer: https://experience.arcgis.com/experience/2a24effbf2a1495aa0d20966f4b70886.

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tll38_pennstate (2020). Redlining Sample Experience Builder: A look at PA [Dataset]. https://mapsgislib-pennstate.hub.arcgis.com/items/7d24afe775f6418d96251186dcb529c3

Redlining Sample Experience Builder: A look at PA

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Dataset updated
Nov 18, 2020
Dataset authored and provided by
tll38_pennstate
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Area covered
Pennsylvania
Description

This is a sample experience depicting functionality of the ArcGIS Experience Builder using data within ArcGIS Online for instructional purposes. Created as a sample Experience to illustrate a Pennsylvania focused map application using data layers publicly available within ArcGIS Online, and having multiple pages of content to showcase the inclusion of multiple maps.Donald W. Hamer Center for Maps and Geospatial Information, Penn State University Libraries.

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