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 establishment of a BES Multi-User Geodatabase (BES-MUG) allows for the storage, management, and distribution of geospatial data associated with the Baltimore Ecosystem Study. At present, BES data is distributed over the internet via the BES website. While having geospatial data available for download is a vast improvement over having the data housed at individual research institutions, it still suffers from some limitations. BES-MUG overcomes these limitations; improving the quality of the geospatial data available to BES researches, thereby leading to more informed decision-making. BES-MUG builds on Environmental Systems Research Institute's (ESRI) ArcGIS and ArcSDE technology. ESRI was selected because its geospatial software offers robust capabilities. ArcGIS is implemented agency-wide within the USDA and is the predominant geospatial software package used by collaborating institutions. Commercially available enterprise database packages (DB2, Oracle, SQL) provide an efficient means to store, manage, and share large datasets. However, standard database capabilities are limited with respect to geographic datasets because they lack the ability to deal with complex spatial relationships. By using ESRI's ArcSDE (Spatial Database Engine) in conjunction with database software, geospatial data can be handled much more effectively through the implementation of the Geodatabase model. Through ArcSDE and the Geodatabase model the database's capabilities are expanded, allowing for multiuser editing, intelligent feature types, and the establishment of rules and relationships. ArcSDE also allows users to connect to the database using ArcGIS software without being burdened by the intricacies of the database itself. For an example of how BES-MUG will help improve the quality and timeless of BES geospatial data consider a census block group layer that is in need of updating. Rather than the researcher downloading the dataset, editing it, and resubmitting to through ORS, access rules will allow the authorized user to edit the dataset over the network. Established rules will ensure that the attribute and topological integrity is maintained, so that key fields are not left blank and that the block group boundaries stay within tract boundaries. Metadata will automatically be updated showing who edited the dataset and when they did in the event any questions arise. Currently, a functioning prototype Multi-User Database has been developed for BES at the University of Vermont Spatial Analysis Lab, using Arc SDE and IBM's DB2 Enterprise Database as a back end architecture. This database, which is currently only accessible to those on the UVM campus network, will shortly be migrated to a Linux server where it will be accessible for database connections over the Internet. Passwords can then be handed out to all interested researchers on the project, who will be able to make a database connection through the Geographic Information Systems software interface on their desktop computer. This database will include a very large number of thematic layers. Those layers are currently divided into biophysical, socio-economic and imagery categories. Biophysical includes data on topography, soils, forest cover, habitat areas, hydrology and toxics. Socio-economics includes political and administrative boundaries, transportation and infrastructure networks, property data, census data, household survey data, parks, protected areas, land use/land cover, zoning, public health and historic land use change. Imagery includes a variety of aerial and satellite imagery. See the readme: http://96.56.36.108/geodatabase_SAL/readme.txt See the file listing: http://96.56.36.108/geodatabase_SAL/diroutput.txt

Current data from 2023-24 school year. Dataset to be updated annually.Data sources:Public Schools (includes charter and Adult): CDE - https://www.cde.ca.gov/schooldirectory/report?rid=dl1&tp=txtPublic Schools enrollment and enhanced location: CDE - https://lacounty.maps.arcgis.com/home/item.html?id=61a4260e68b14a5ab91daf27d4415e7dPrivate Schools type and location: CDE - https://www.cde.ca.gov/schooldirectory/, query for private schoolsPrivate Schools enrollment and contact: CDE - https://www.cde.ca.gov/ds/si/ps/documents/privateschooldata2324.xlsxColleges and Universities: HIFLD - https://hifld-geoplatform.hub.arcgis.com/datasets/geoplatform::colleges-and-universities/aboutPublic schools use location from the CDE AGOL Layer where available. This source assigns X, Y coordinates using a quality controlled geocoding and validation process to optimize positional accuracy, often geocoding to parcel.Field Descriptions:Category1: Always "Education"Category2: School Level Category3: School Type Organization: School District for primary and secondary schools; data maintainer otherwise Source: Source of data (see source links above) Source ID: CDS Code for primary and secondary schools; IPEDS ID for colleges and universities Source Date: Date listed in source Enrollment: School EnrollmentLabel Class: School classification for symbology (matches either Category2 or Category3)Last Update: Date last updated by LA County Enterprise GIS

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.

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.

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 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

Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Roadway Centerline data product.MDOT SHA Roadway Centerline data consists of linear geometric features which represent the street centerline for roadways throughout the State of Maryland. The centerline represents the geographic location on the roadway between both shoulders (physical center), which often but not always coincides with the center painted line dividing bi-directional travel lanes. Roadway Centerline data plays an important role in transportation management and planning, while also being the basis for all other roadway-related data products.MDOT SHA Roadway Centerline data is the end product of a statewide data sharing process between the Federal Highway Administration (FHWA), Maryland Department of Transportation (MDOT), Maryland Department of Transportation State Highway Administration (MDOT SHA), county governments and local municipal governments. Using a common centerline allows for better exchange of information related to the roadway system and provides opportunities for more efficient collection of information about roadway assets. Some centerlines were created in-house using imagery, GPS data, and MDOT SHA's Highway Performance Monitoring System (HPMS) database and others were received from county governments and updated in house using imagery, GPS data and MDOT SHA's HPMS database. The Centerline data includes annual HPMS updates / improvements submitted to the Federal Highway Administration (FHWA).MDOT SHA Roadway Centerline data is needed for emergency response and management, routing buses and other vehicles, planning for land use and transportation needs, continuity of roadway data and display at county boundaries leading to the same "look and feel" across jurisdictions, tracking assets on and along the roadway network, producing maps at various scales, and numerous other applications. There are opportunities to make these processes more efficient, and this program addresses a shared foundation to solve some of these issues. This data is also used by various business units throughout MDOT, as well as many other Federal, State and local government agencies.MDOT SHA Roadway Centerline data is updated & published on an annual basis for the prior year. This data is for the year 2023.For more information about each attribute field, please review the MDOT SHA Roadway Centerline - Data DictionaryFor more information related to the data, contact MDOT SHA OPPE Data Services Division (DSD):Email: DSD@mdot.maryland.govFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

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.

This file contains the digital vector boundaries for Local Enterprise Partnerships (non overlapping parts) in England, as at December 2014. The boundaries available are:

This dataset is the digital compilation of the 1:1 million scale faults and fault systems for the Province of Saskatchewan. This dataset represents the 1:1 million scale major faults or fault system of the Province of Saskatchewan, Canada. Mapping in support of this dataset includes many years of field observations which were then compiled at 1:1 million scale and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution. To view or download more datasets from the Saskatchewan Geological Survey, please visit our GeoHub page (https://er-saskatchewan.hub.arcgis.com/pages/saskatchewan-geological-survey) or our Saskatchewan Mining and Petroleum GeoAtlas (https://gisappl.saskatchewan.ca/geoatlas). **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

This dataset shows the surficial geology for the Province of Saskatchewan and is designed for the Resource Map of Saskatchewan. This dataset shows the surficial geology for the Province of Saskatchewan and is designed for the Resource Map of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution.1: 1,000 000 scale surficial geology map of Saskatchewan. To view or download more datasets from the Saskatchewan Geological Survey, please visit our GeoHub page (https://er-saskatchewan.hub.arcgis.com/pages/saskatchewan-geological-survey) or our Saskatchewan Mining and Petroleum GeoAtlas (https://gisappl.saskatchewan.ca/geoatlas). **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

This dataset represents the 1:1 Million scale bedrock geology for the Province of Saskatchewan. This dataset shows the 1:1 Million scale bedrock geology for the Province of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled at 1:1 Million scale and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution. To view or download more datasets from the Saskatchewan Geological Survey, please visit our GeoHub page (https://er-saskatchewan.hub.arcgis.com/pages/saskatchewan-geological-survey) or our Saskatchewan Mining and Petroleum GeoAtlas (https://gisappl.saskatchewan.ca/geoatlas). **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

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/FeatureServer

Landmarks and Government BuildingsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays Cemeteries, Post Offices, City/Town Halls, Courthouses, State Capitols, State Supreme Courts, The White House, U.S. Capitol, U.S. Supreme Court, Historic Sites/Points of Interest, and National Symbols/Monuments in the U.S. Per the USGS, "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations."Supreme Court of WyomingData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Landmarks & Government Buildings) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)OGC API Features Link: (Landmark Structures - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

Download high-quality, up-to-date Ghana shapefile boundaries (SHP, projection system SRID 4326). Our Ghana 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.

This data set represents the digital information on all known mineral occurrences in the Province of Saskatchewan. This data shows information on all known mineral occurrences in Saskatchewan. Additional occurrences are added as new public domain geoscience information is analyzed. The data was created as a file geodatabase feature class and output for public distribution. Current definitions for the mineral deposit categories used in the Saskatchewan Mineral Deposit Index can be found by searching “Mineral Deposit Category Definition Tables” on the Publications Saskatchewan website. To view or download more datasets from the Saskatchewan Geological Survey, please visit our GeoHub page (https://er-saskatchewan.hub.arcgis.com/pages/saskatchewan-geological-survey) or our Saskatchewan Mining and Petroleum GeoAtlas (https://gisappl.saskatchewan.ca/geoatlas). **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

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 (overlapping parts) in England as at April 2020. 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. Download File SizesFull resolution - extent of the realm (1 MB)Units for the following fields:St_length = metresSt_area = metres2

REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_overlapping_parts_April_2020_Boundaries_EN_BFE/MapServer/exts/InspireView REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_overlapping_parts_April_2020_Boundaries_EN_BFE/MapServer/exts/InspireFeatureDownload REST URL of Feature Access Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Local_Enterprise_Partnerships_overlapping_parts_April_2020_Boundaries_EN_BFE/FeatureServer

This is the content group for the WVU Outdoor Economic Development Collaborative. This group contains the content that is made available for use and download through the ArcGIS HUB initiative.