This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This tutorial introduces you to using Python code in a Jupyter Notebook, an open source web application that enables you to create and share documents that contain rich text, equations and multimedia, alongside executable code and visualization of analysis outputs. The tutorial begins by stepping through the basics of setting up and being productive with Python notebooks. You will be introduced to ArcGIS Notebooks, which are Python Notebooks that are well-integrated within the ArcGIS platform. Finally, you will be guided through a series of ArcGIS Notebooks that illustrate how to create compelling notebooks for data science that integrate your own Python scripts using the ArcGIS API for Python and ArcPy in combination with thousands of open source Python libraries to enhance your analysis and visualization.To download the dataset Labs, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/arcgis-notebooks-tutorial.git.Software & Solutions Used: Required: This tutorial was last tested on August 27th, 2024, using ArcGIS Pro 3.3. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.Recommended: ArcGIS Online subscription account with permissions to use advanced Notebooks and GeoEnrichmentOptional: Notebook Server for ArcGIS Enterprise 11.3+Time to Complete: 2 h (excludes processing time)File Size: 196 MBDate Created: January 2022Last Updated: August 27, 2024

The ArcGIS Online USGS Topographic Maps image service contains over 181,000 historical topographic quadrangle maps (quads) dating from 1879 to 2006. These maps are part of the USGS Historical Topographic Map Collection (HTMC) which includes all the historical quads that had been printed since the USGS topographic mapping program was initiated in 1879. Previously available only as printed lithographic copies, the historical maps were scanned “as is” to create high-resolution images that capture the content and condition of each map sheet. All maps were georeferenced, and map metadata was captured as part of the process.

For the Esri collection, the scanned maps were published as this ArcGIS Online image service which can be viewed on the web and allows users to download individual scanned images. Esri’s collection contains historical quads (excluding orthophotos) dating from 1879 to 2006 with scales ranging from 1:10,000 to 1:250,000. The scanned maps can be used in ArcGIS Pro, ArcGIS Online, and ArcGIS Enterprise. They can also be downloaded as georeferenced TIFs for use in these and other applications.

We make it easy for you to explore and download these maps, or quickly create an ArcGIS Online map, using our Historical Topo Map Explorer app. The app provides a visual interface to search and explore the historical maps by geographic extent, publication year, and map scale. And you can overlay the historical maps on a satellite image or 3D hillshade and add labels for current geographic features.

Link to King County GIS Center Open Data site. Provides access to browse and download from hundreds of enterprise data sets. Includes links to other data sources including legacy FTP Download Portal

Time Aware is a configurable app template that enables you visualize time enabled layers in a web map using a time slider. This is useful for displaying changes in data over time. Use CasesBuild a stand alone app that presents data changing through time.Build a time aware app and embed it within a story map journal or story map series to include time animation within your story.Configurable OptionsChoose a title, logo, and color scheme.Configure the ability for feature and location search.Customize the color and date time format of the time slider.Enable a legend, scalebar, share dialog, or about window.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis requires time aware data, to learn more see the configure time help topic. An existing time aware feature service can be consumed from this application, however in order to create your own time aware feature service you will either need ArcGIS Enterprise or an ArcGIS Online subscription.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.

Visit the FEMA Community Disaster Resilinece Zones Homepage for more information and the Application to see the Zones.To download GIS data, users must be logged into any ArcGIS Online or Enterprise account. For users who require tabular data (.csv format only) or do not have an ArcGIS Online or Enterprise account, click here to download.A law signed by President Biden on Dec. 20, 2022— the Community Disaster Resilience Zones Act—will build disaster resilience across the nation by creating and designating resilience zones which identifies disadvantaged communities most at-risk to natural hazards.This new law amends the Robert T. Stafford Disaster Relief and Emergency Assistance Act and applies FEMA’s National Risk Index to identify communities that are most vulnerable to natural hazards.These designated zones will receive targeted support to access federal funding to plan for resilience projects that will help them reduce impacts caused by climate change and natural hazards. It will also enable communities to work across a range of federal and private sector partners to maximize funding and provide technical assistance, strengthening community resilience.Designated zones will receive targeted federal support, such as increased federal cost-share for the Building Resilient Infrastructure and Communities program, lessening the financial burden on communities to perform resilience-related activities. This layer allows users to identify the FEMA Community Disaster Resilience Zones, which target Census tracts identified as disadvantage communities most at-risk to natural hazards as a part of the Community Disaster Resilience Zones Act. The data methodology is available on the "Designation Methodology" page of the related FEMA Community Disaster Resilience Zones product.

Esri ArcGIS Online Hosted, View Feature Layer which provides access to the Maryland MyCoast Report Locations data product.Maryland MyCoast Reports data consists of point geometric features which represent the geographic locations of MyCoast reports that have been documented throughout the State of Maryland. MyCoast Reports are created to document on-the-ground impacts of flooding & damage during storm events. MyCoast: Maryland is in collaboration with, and directly supported by, the Maryland Department of Natural Resources (DNR). Maryland MyCoast Reports data has been downloaded & spatially enabled by the MDOT SHA OIT Enterprise Information Services - GIS Team by using the 'Download Reports' functionality of the MyCoast website. The resulting data is spatially enabled via Lat/Long values and is now available as a Hosted View Feature Layer on ArcGIS Online (AGOL) for Maryland. This data product is updated on a monthly routine basis to include new reports from the previous month.Maryland MyCoast Report data is owned by the Maryland Department of Natural Resources (DNR).For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

This file contains the digital vector boundaries for Local Enterprise Partnerships in England, as at December 2014.

The boundaries available are:

Download high-quality, up-to-date South Korea shapefile boundaries (SHP, projection system SRID 4326). Our South Korea Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Download high-quality, up-to-date Israel shapefile boundaries (SHP, projection system SRID 4326). Our Israel Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Download high-quality, up-to-date Belgium shapefile boundaries (SHP, projection system SRID 4326). Our Belgium Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Download high-quality, up-to-date Egypt shapefile boundaries (SHP, projection system SRID 4326). Our Egypt Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Download high-quality, up-to-date Sierra Leone shapefile boundaries (SHP, projection system SRID 4326). Our Sierra Leone Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

DSHS and the state Health Care Authority (HCA) jointly designated Regional Service Areas (RSAs) in June 2015, following legislative authorization in 2014. RSAs define new geographical boundaries for the state to purchase behavioral and physical health care through managed care contracts. They are not administrative authorities. Behavioral Health Organizations (BHOs) are located within newly formed Regional Service Areas (RSAs). There is one BHO per RSA, except for the Southwest Washington RSA, which has a contract with the Health Care Authority for managed care plans. RSAs join and include contiguous counties, contain at least 60,000 people on Medicaid, possess an adequate number of health care providers, and reflect natural physical and behavioral health service referral patterns. More information on BHOs is available at this link (https://www.dshs.wa.gov/bha/division-behavioral-health-and-recovery/behavioral-health-organizations).Lifecycle status: ProductionPurpose: enable open access to DSHS dataDSHS Data Security: Category 1 - PublicLast Update: 7/7/2016Update Cycle: as neededData Sources: DSHSImportant: DSHS reserves the right to alter, suspend, re-host, or retire this service at any time and without notice. This is a map service that you can use in custom web applications and software products. Your use of this map service in these types of tools forms a dependency on the service definition (available fields, layers, etc.). If you form any dependency on this service, be aware of this significant risk to your purposes. You might consider mitigating your risk by extracting the source data and using it to host your own service in an environment under your control. Typically, DSHS Enterprise GIS staff will provide notification of changes via the "Comments" RSS capability in ArcGIS Online. You may subscribe to the RSS feed that publishes comments to monitor any planned and notified changes.

This file contains the digital vector boundaries for Local Enterprise Partnerships in England as at April 2020. The boundaries available are:(BGC) Generalised (20m) - clipped to the coastline (Mean High Water mark).Contains both Ordnance Survey and ONS Intellectual Property Rights.Download Files Sizes

Generalised (20m) - clipped to the coastline (1 MB)

Units for the following fields:

St_length = metres

St_area = metres2REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_April_2020_Boundaries_EN_BGC/MapServer/exts/InspireViewREST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_April_2020_Boundaries_EN_BGC/MapServer/exts/InspireFeatureDownloadREST URL of Feature Access Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_April_2020_Boundaries_EN_BGC/FeatureServer

This dataset represents a water shortage vulnerability analysis performed by DWR using modified PLSS sections pulled from the Well Completion Report PLSS Section Summaries. The attribute table includes water shortage vulnerability indicators and scores from an analysis done by CA Department of Water Resources, joined to modified PLSS sections. Several relevant summary statistics from the Well Completion Reports are included in this table as well. This data is from the 2024 analysis.

Water Code Division 6 Part 2.55 Section 8 Chapter 10 (Assembly Bill 1668) effectively requires California Department of Water Resources (DWR), in consultation with other agencies and an advisory group, to identify small water suppliers and “rural communities” that are at risk of drought and water shortage. Following legislation passed in 2021 and signed by Governor Gavin Newsom, the Water Code Division 6, Section 10609.50 through 10609.80 (Senate Bill 552 of 2021) effectively requires the California Department of Water Resources to update the scoring and tool periodically in partnership with the State Water Board and other state agencies. This document describes the indicators, datasets, and methods used to construct this deliverable.  This is a statewide effort to systematically and holistically consider water shortage vulnerability statewide of rural communities, focusing on domestic wells and state small water systems serving between 4 and 14 connections. The indicators and scoring methodology will be revised as better data become available and stake-holders evaluate the performance of the indicators, datasets used, and aggregation and ranking method used to aggregate and rank vulnerability scores. Additionally, the scoring system should be adaptive, meaning that our understanding of what contributes to risk and vulnerability of drought and water shortage may evolve. This understanding may especially be informed by experiences gained while navigating responses to future droughts.”

A spatial analysis was performed on the 2020 Census Block Groups, modified PLSS sections, and small water system service areas using a variety of input datasets related to drought vulnerability and water shortage risk and vulnerability. These indicator values were subsequently rescaled and summed for a final vulnerability score for the sections and small water system service areas. The 2020 Census Block Groups were joined with ACS data to represent the social vulnerability of communities, which is relevant to drought risk tolerance and resources. These three feature datasets contain the units of analysis (modified PLSS sections, block groups, small water systems service areas) with the model indicators for vulnerability in the attribute table. Model indicators are calculated for each unit of analysis according to the Vulnerability Scoring documents provided by Julia Ekstrom (Division of Regional Assistance).

All three feature classes are DWR analysis zones that are based off existing GIS datasets. The spatial data for the sections feature class is extracted from the Well Completion Reports PLSS sections to be aligned with the work and analysis that SGMA is doing. These are not true PLSS sections, but a version of the projected section lines in areas where there are gaps in PLSS. The spatial data for the Census block group feature class is downloaded from the Census. ACS (American Communities Survey) data is joined by block group, and statistics calculated by DWR have been added to the attribute table. The spatial data for the small water systems feature class was extracted from the State Water Resources Control Board (SWRCB) SABL dataset, using a definition query to filter for active water systems with 3000 connections or less. None of these datasets are intended to be the authoritative datasets for representing PLSS sections, Census block groups, or water service areas. The spatial data of these feature classes is used as units of analysis for the spatial analysis performed by DWR.

These datasets are intended to be authoritative datasets of the scoring tools required from DWR according to Senate Bill 552. Please refer to the Drought and Water Shortage Vulnerability Scoring: California's Domestic Wells and State Smalls Systems documentation for more information on indicators and scoring. These estimated indicator scores may sometimes be calculated in several different ways, or may have been calculated from data that has since be updated. Counts of domestic wells may be calculated in different ways. In order to align with DWR SGMO's (State Groundwater Management Office) California Groundwater Live dashboards, domestic wells were calculated using the same query. This includes all domestic wells in the Well Completion Reports dataset that are completed after 12/31/1976, and have a 'RecordType' of 'WellCompletion/New/Production or Monitoring/NA'.

Please refer to the Well Completion Reports metadata for more information. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.4, dated September 14, 2022. DWR makes no warranties or guarantees — either expressed or implied— as to the completeness, accuracy, or correctness of the data.

DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.

Alaska DCCED Division of Corporations, Business and Professional Licensing courtesy CSV Download Link Location

A subset of Business licenses for for-profit and non-profit entities operating in Alaskan communities where licensee has designated the physical location as being a single DCRA recognized community and has identified the physical state as AK. For those specific records the (geographic) location has been set to the DCRA centroid of the community. The primary purpose of this feature service is for linking business licenses in the DCRA Community StoryMap Applications to communities with populations under 2500. Data updated monthly from the Alaska Department of Commerce, Community, and Economic Development, Division of Corporations, Business and Professional Licensing (DCCED-CBPL). See CBPL Business License Download link on this page for source of data represented in CSV format.Source: Alaska Department of Commerce, Community, and Economic Development, Division of Corporations, Business and Professional LicensingThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska DCCED CBPL

This file contains the digital vector boundaries for Local Enterprise Partnerships, in England, as May 2021.The boundaries available are: (BUC) Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).Contains both Ordnance Survey and ONS Intellectual Property Rights. REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_May_2021_Boundaries_EN_BUC_v2/MapServer/exts/InspireViewREST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_May_2021_Boundaries_EN_BUC_v2/MapServer/exts/InspireFeatureDownloadREST URL of Feature Access Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_May_2021_Boundaries_EN_BUC_v2/FeatureServerREST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Enterprise_Partnerships_(May_2021)_EN_BUC/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Local_Enterprise_Partnerships_May_2021_EN_BUC/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Enterprise_Partnerships_May_2021_EN_BUC_2022/FeatureServer

This file contains the digital vector boundaries for Local Enterprise Partnerships in England, as at April 2017. The

boundaries available are:

This file contains the digital vector boundaries for Local Enterprise Partnerships, in England, as May 2021.The boundaries available are: (BFE) Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands).Contains both Ordnance Survey and ONS Intellectual Property Rights. REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_May_2021_Boundaries_EN_BFE_v2/MapServer/exts/InspireViewREST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_May_2021_Boundaries_EN_BFE_v2/MapServer/exts/InspireFeatureDownloadREST URL of Feature Access Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_May_2021_Boundaries_EN_BFE_v2/FeatureServerREST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Enterprise_Partnerships_(May_2021)_EN_BFE/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Local_Enterprise_Partnerships_May_2021_EN_BFE/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Enterprise_Partnerships_May_2021_EN_BFE_2022/FeatureServer