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

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.

This story map explains how to use two attributes to make a map using both color and size using the smart mapping capability within ArcGIS Online and ArcGIS Enterprise. You can easily select two attributes, and one will be shown in your map using color, while the other will be used to represent size. This mapping technique can help to show relationships you might not have known existed. This method can also help turn multiple maps into a single map to share with others. This story map walks you through multiple examples, which can help get you started with smart mapping color and size.

This newsletter is intended to serve you, our Audubon network, with the latest information on what is happening with the GIS team, projects across the entire network that are employing GIS, and tips & tricks on tools and workflows. As you may have noticed, we have upgraded the style of our newsletter. From now on, the newsletters will be released on a quarterly basis instead of monthly. We hope this new format will be more intuitive for readers and are excited to share all the fun updates we have in store!

Esri ArcGIS Online (AGOL) Hosted Tile Layer which provides access to the MDOT SHA Context Zones data product.MDOT SHA Context Zones data consists of polygon geometric features which represent the geographic boundary of areas with related land use context throughout the State of Maryland. Context Zones are defined as Urban Core (Zone A), Urban Center (Zone B), Suburban Activity Center / Traditional Town Center (Zone C), Suburban (Zone D), & Rural (Zone E). MDOT SHA Context Zones data is owned & maintained by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE) and the MDOT SHA Office of Highway Development (OHD) . This data is updated every decade (ten years) with the release of new Census information. This data was created in November 2018. For more information on Context Zones, view the MDOT SHA Context GuideFor questions related to Context Zones, contact the MDOT SHA Context Guide LiaisonsFor additional information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

In 2010, the Alaska Regional Director and Alaska Leadership Council directed all parks to complete a geospatial layer of installations and keep it up to date for use in cumulative impacts analysis. The AKR Installations Geodatabase is a centralized data repository that supports a regionally consistent approach useful for NPS permitting and resource management. By supporting the 2010 initiatives for strengthening NPS wilderness stewardship, this system can inform NEPA analyses, help parks track accountability for maintaining and removing installations, and provide critical information for wilderness character monitoring. This AKR Installations Geodatabase, developed and stewarded by the AKR GIS Team, is available for upkeep by each park through its designated Installations Point-of-Contact (POC) and supporting GIS POC. The Installations POC is generally the park coordinator for wilderness, compliance, and/or permitting while the GIS POC is someone who can assist with organizing and preparing the geospatial data for inclusion in the AKR Installations Geodatabase. The AKR Installations Geodatabase contains four point‐type feature classes: Instrumentation Installations (INSTRUMENTATION), Marker Installations (MARKER), Communication Installations (COMMUNICATION), and Generic Installation Point Installations (GENERIC INSTALLATION POINT). Each feature class in the geodatabase is designed to store a specific type of installation data and represent that installation data as a point feature in ArcGIS. To facilitate data entry, viewing, and analysis the non‐spatial attribute fields contained in each feature class have been standardized. The Installations User Guide was developed as a reference to introduce the NPS Alaska Region Installation geodatabase and provide guidance for installation data entry and record management in this system. It is recommended that the Installations User Guide be reviewed prior to populating the NPS Alaska Region Installations geodatabase.The COMMUNICATION feature class is designed to contain records for installations of stand‐alone communication relay equipment (e.g. radio repeaters, cell phone towers). Installations in the COMMUNICATION feature class differ from those in the INSTRUMENTATION feature class as they serve to transmit data, not collect or record data for scientific purposes. Communication‐related equipment associated with a station‐type installation managed in the INSTRUMENTATION feature class (i.e. continuous GPS station, seismic station, precipitation station, SNOTEL station, snow course station, weather station) are not considered to be stand‐alone. Please review the COMMUNICATION feature class data model (Section 12) of the Installations User Guide to gain a general understanding of its structure and data requirements. Table 10 and the domain values assigned in the data model’s Installation_Subtype field may further clarify the types of items relevant to this feature class.The GENERIC INSTALLATION POINT feature class is designed to contain records for installations the user deems relevant to the cumulative effects analysis process, but are not appropriate for inclusion in the INSTRUMENTATION, MARKER, or COMMUNICATION features classes at present time. The GENERIC INSTALLATION POINT feature class is intended to serve the purpose of a temporary placeholder for installation data while NPS data standards and the NPS Alaska Region Installations geodatabase evolve. Please review the GENERIC INSTALLATION POINT feature class data model (Section 12) of the Installations User Guide to gain a general understanding of its structure and data requirements. Table 11 may further clarify the types of items relevant to this feature class. Installation data outside of Table 11 items may also be included, but please remember that all records contained in this feature class will be represented as points in ArcGIS. OHV trails and maintained foot trails are better represented as line features in ArcGIS and have therefore not been marked for inclusion in the GENERIC INSTALLATION POINT feature class.The INSTRUMENTATION feature class is designed to contain records for installations of equipment that collect or record data for scientific purposes. Please review the INSTRUMENTATION feature class data model (Section 12) of the Installations User Guide to gain a general understanding of its structure and data requirements. Table 2 and the domain values assigned in the data model’s Installation_Subtype field may further clarify the types of items relevant to this feature class.The MARKER feature class is designed to contain records for installations that serve to mark a location of interest. Please review the MARKER feature class data model (Section 12) of the Installations User Guide to gain a general understanding of its structure and data requirements. Table 7 and the domain values assigned in the data model’s the Installation_Subtype field may further clarify the types of items relevant to this feature class. The MARKER feature class in the NPS Alaska Region Installations geodatabase was developed to manage installation data relevant to the cumulative effects analysis process and is not intended to replace the NPS Survey Monumentation Data Standard for the distribution of survey monumentation data to enterprise GIS systems.The corresponding NPS DataStore on Integrated Resource Management Applications (IRMA) reference is:AKR Science in Wilderness Installations PUBLIC