Esri Innovation Program conducted a Web meeting on the following subject. Here is the recording and resources:
Topic: ArcGIS Notebooks in Higher Education
November 12: 11:00 AM – 12:00 PM PST (2:00 PM – 3:00 PM EST)
Slide decks [esriis-my.sharepoint.com]
Build your own ArcGIS Usage Dashboard (by Peter Knoop)
Clone an ArcGIS Storymap (by Peter Knoop)
Teaching with ArcGIS Notebooks (Learn path by Gregory Brunner)
Tyler Davis – College of William and Mary
Gregory Brunner – Saint Louis University, Data Scientist, Esri
Peter Knoop – University of Michigan
Shannon Kalisky – Product Manager, Esri
ArcGIS Notebooks provides an easy way to combine Python libraries from ArcGIS API for Python, ArcPy, and open-source Python libraries in a single notebook environment, optimized for spatial analysis. Join us to learn how higher education colleagues are incorporating ArcGIS Notebooks into the classroom and get the latest updates from the product development, with plenty of opportunity for questions/discussion.
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Esri Innovation Program (EIP) is regularly conducting web meetings on various topics:
Below are the archives of previous meeting recordings and resources.
Date: October 22: 11:00 AM – 12:00 PM PT (2:00 PM – 3:00 ET)
Topic: New Technology: Kubernetes and Voxel
Link to recording and use the password: u@#dh8ZG
Link to slide decks
Trevor Seaton – ArcGIS Enterprise team, Esri (15 min)
Rob Fletcher – Enterprise App Dev Technology team, Esri (15 min)
Neeti Nayak – Voxel layer team, Esri (15 min)
Description: Kubernetes is an open source container orchestration system for automating computer application deployment, scaling and management. In this meeting, we will learn a couple implementation ideas: Trevor Seaton will introduce the upcoming release of ArcGIS Enterprise in Kubernetes and Rob Fletcher will share his experience in using Kubernetes for a Deep Learning project. Another topic will be presented during this web meeting is Voxel layer, that will be introduced by Neeti Nayak.
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The following FAQ will answer some of your commonly asked questions as it relates to using ArcGIS Notebooks in the cloud (ArcGIS Online). This list will continually be updated. Introduction to ArcGIS Notebooks Q: What is ArcGIS Notebooks? A: ArcGIS Notebooks provides a Jupyter notebook experience optimized for spatial analysis. Q: What are benefits of using ArcGIS Notebooks? A: ArcGIS Notebooks ships with hundreds of open source Python libraries alongside the ArcGIS Python libraries, ArcPy, and the ArcGIS API for Python. Other benefits include: Provide easy sharable, consistent Python environment. Reduces time spent in managing dependencies. Direct access to web maps and apps. Q: What are options to work with ArcGIS Notebooks in the ArcGIS platform? A: Options to work with ArcGIS Notebooks in ArcGIS platform are: ArcGIS Notebooks for Enterprise (server) ArcGIS Notebooks in the cloud (ArcGIS Online) ArcGIS Notebooks in ArcGIS Pro (workstation) ArcGIS Notebooks for Developers (Builder plan and higher) Q: What are the differences between ArcGIS Notebooks Standard, Advanced and Advanced with GPU Support? Standard – includes the ArcGIS API for Python and hundreds of open source libraries; appropriate for administrative tasks, data engineering, and light analytics. While standard notebooks themselves are free to create and run, anything that would ordinarily consume credits in ArcGIS Online still does when performed in a notebook (running analysis or accessing premium content). Advanced – includes everything offered in Standard plus ArcPy; offers a larger instance size (more compute and memory resources); appropriate for most workflows including large scale data engineering, advanced analytics and some machine learning workflows; credit rates apply. Advanced with GPU – includes everything in Standard and Advanced along with a GPU powered instance that offers the highest amount of compute and memory resources; appropriate for computationally intensive workflows such as big data analytics, model training and model inferencing; credit rates apply. Enabling Access to ArcGIS Notebooks Q: Is a custom role needed to enable ArcGIS Notebooks access? How do I enable access to ArcGIS Notebooks for all the members in ArcGIS Online? A: Notebook privileges are assigned through the role settings. To assign privileges that allow users to access standard or advanced notebooks in ArcGIS Notebooks, you’ll need to create a custom role in your ArcGIS Online Settings (by Administrator). You can create the custom role based on any of the default roles such as Publisher role. Once a new custom role is created, you will need to add notebook create and user privileges to your new custom role: Under Role privileges, expand the Content group and turn on Create and edit notebooks. This allows the user to create and edit standard notebooks. Expand the Premium content group and turn on Advanced Notebooks. This allows the user to create Advanced Notebooks that use ArcPy or access the GPU-enabled notebook runtime. Once you’ve created a custom role with Advanced Notebooks enabled, you can make that role the default role for new users (Settings > New member defaults). All users joining the organization from this point forward will automatically have access to ArcGIS Notebooks. You will also need to assign that custom role to the existing members. Q: Is there documentation on how to set up access to ArcGIS Notebooks I can give to my Administrator? A: Yes. This PDF lesson provides a step-by-step instruction on how to setup access to ArcGIS Notebooks by an Administrator. Q: Is there any way to control this default setting? It seems like if you enabled Advanced access, when you spin up a Notebook, it defaults to Advanced. Can the default change to Standard, even for users with Advanced access? A: No, not with the current release. The Product team is working on a new launch experience that will make it easier for users to not accidentally pick an advanced runtime if that is not what they desire. Credits Calculation Q: How is credit usage calculated with Advanced and Advanced with GPU? A: Credit is charged per minute so if you divide those rates listed in the doc by 60, you will get the per minute pricing. Knowing the hourly rates makes it easier to do quick estimation. Use this as a reference: Standard: 0 credits/minute $0 USD/minute Advanced: .05 credits/minute $0.005 USD/minute Advanced with GPU: .5 credits/minute $0.05 USD /minute Q: Can you give examples of credit usage for using ArcGIS Notebooks for a class? A: The credit usage will depend on the amount of time Notebooks are used. It also depends on the number of users and whether Notebooks are being used a few hours a week in a class or being used in a research project (many hours per week for an entire year). For example, if a class of 20 students uses Notebooks for an average of 4 hours per week for a 16-week long course, the credit usage would be: Advanced Notebooks: 3,840 credits total for course = 20 students x 4 hours x 16 weeks = 1,280 hours = 76,800 minutes @ 0.05 credits/min Advanced Notebooks with GPU: 38,400 credits total for course = 20 students x 4 hours x 16 weeks = 1,280 hours = 76,800 minutes @ 0.5 credits/min If an individual researcher uses Notebooks an average of 20 hours per week for a year (excluding a 4-week vacation), the credit usage would be: Advanced Notebooks: 2,880 credits total for course = 1 researcher x 20 hours x 48 weeks = 960 hours = 57,600 minutes @ 0.05 credits/min Advanced Notebooks with GPU: 28,800 credits total for course = 1 researcher x 20 hours x 48 weeks = 960 hours = 57,600 minutes @ 0.5 credits/min Thus, in a classroom setting, you may want to budget 200-500 credits per student for Advanced Notebooks or 2,000 – 5,000 credits per student for Advanced+GPU. In a research setting, you might want to budget 3,000 – 5,000 credits per person for Advanced Notebooks or 30,000 – 50,000 credits per person for Advanced+GPU. Working with ArcGIS Notebooks Q: How long can a notebook be open before it goes idle and automatically disconnects? A: 20 minutes. We do not charge for idle time, credits are calculated based on the last activity within the notebook. Q: What happens if I forgot to close the Notebooks? A: The notebook will time out and disconnected after 20 minutes of being idle. Q: Can I use local data with ArcGIS Notebooks in ArcGIS Online? A: Yes, you can. On the Files component in ArcGIS Notebooks, you can upload your local data into /arcgis/home. You can also use the Python API to create a new folder and add data there. Q: Can I create a new file folder under Files? A: Yes, but you must do it using the ArcGIS API for Python. Adding new files to this location will also require the use of Python code. Q: Is there a limit to how much data (rasters, shapefile, file geodatabases) I can upload into ArcGIS notebooks? A: This depends on how you bring in data, using the ArcGIS API for Python to add data will allow you to bring in larger file sizes. The current file size limit using the upload UI under Files is 20MB. A new big file uploader is on the roadmap to increase the file size allowed by the upload UI. Q: Can you schedule notebooks? A: No, not with the current release. Q: Can I download a notebook from ArcGIS Online? A: Yes, here are two options: 1) In the Notebook, under File > Download As 2) Find the notebook item in your Content > Open the item details page > Click Download button Q: Can I upload a notebook into ArcGIS Online? Yes, In the Content, choose Add Item > From your computer. It will add as a new item. Be aware that any notebook uploaded will automatically use your default runtime unless you explicitly change it in the Item Details page. Q: Are there some samples Notebooks? Where can I find them? A: Samples are included in ArcGIS Notebooks. There is a link to the Samples on the top right of your Notebooks in ArcGIS Online. There are sample notebooks for categories: data science and analysis, content management and ArcGIS Online administration. ArcGIS Notebooks Resources Q: Do you have resources for teaching with ArcGIS Notebooks? A: Yes. Learn ArcGIS provides a learning path for teaching with ArcGIS Notebooks. You can also refer to this webpage for educators. Q: Do we have resources for self-learning ArcGIS Notebooks? A: The MOOC, Spatial Data Science: The New Frontier in Analytics uses ArcGIS Notebooks to teach Spatial Data Science. There are also several new Learn lessons under development. Q: Is there a community where I can post questions or get more information? A: You can join ArcGIS Notebooks community on Esri GeoNet and follow ArcGIS Analysis on Twitter. Q: Where can I find more product information and resources on ArcGIS Notebooks? A: Visit ArcGIS Notebooks product page. Q: Who can I contact if I have additional questions about accessing ArcGIS Notebooks in my university? A: You can contact email@example.com Q: How do I submit an enhancement request or report a bug? A: Bugs should be reported through tech support, enhancement requests can also be submitted through tech support. Additionally, you can use the GeoNet community to share ideas and engage with the broader ArcGIS Notebooks community.
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For those looking for Spatial Deep Learning and GeoAI Resources, the following provides beginner-to-Pro list for different Imagery Deep Learning, GeoAI, ArcGIS Notebooks examples and other resources in the format of quick overview, videos, articles and sample notebooks. Part 1: Quick overview (8 – 12 minutes): Video: Deep Learning Powered by Raster Analytics (11.5 minutes): https://bit.ly/2WxzYZy Blog Post: Introduction to Deep Learning (6 minutes): https://bit.ly/3cCBrmK Blog Post: Integrating Deep Learning with GIS (8 minutes read): https://bit.ly/3bCz7uRhttps://bit.ly/3bCz7uR Video: ArcGIS Pro: Machine Learning Classification for Impervious Surfaces - YouTube Part 2: Deeper Dive (~1 hour): Webinar: Imagery Deep Learning Made Easy: https://bit.ly/3byazDm Tutorial: https://bit.ly/2WVlul8 Part 3: Sample Notebooks: Detecting Swimming Pools using Satellite Imagery and Deep Learning https://bit.ly/3cE96Nc Land Cover Classification using Satellite Imagery and Deep Learning https://bit.ly/2zDVpPy Extracting Building Footprints From Drone Data https://bit.ly/2z2I3wd Detecting settlements using supervised classification and deep learning https://bit.ly/3dRiq02 Part 4: Related Topics: Which is better for deep learning, ArcGIS Pro or ArcGIS Enterprise? https://bit.ly/2Z6Fa8d From Experimentation to Production: Building Enterprise Scalable GeoAI Systems https://bit.ly/2yZPQLlhttps://bit.ly/2yZPQLl Additional Past GeoAI webinar on-demand recording links: Imagery Deep Learning Made Easy (on-demand) Text Analytics and Location Intelligence (on-demand) AI for Lidar Feature Extraction (on-demand) Making Predictions with ArcGIS (on-demand) GeoAI with Video and Oriented Imagery GeoAI Series #2: The Birth and Evolution of GeoAI - by Esri Canada Join the GeoAI LinkedIn Group, a place for discussions, resources, and news related to artificial intelligence (AI) and location Intelligence: https://bit.ly/2CBe5RB. Contact Canserina Kurnia (firstname.lastname@example.org) if you need assistance in integrating GeoAI and Deep Learning in teaching and research.
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If you are interested to teach with ArcGIS Notebooks, the Esri Learn ArcGIS Team has released a new learn path with the title Teach with ArcGIS Notebooks, This learn path is intended for Educators who would like to incorporate ArcGIS Notebooks in their teaching/courses. This learn path consists of 6 sequential modules: Enable ArcGIS Notebooks in your organization (PDF lesson – 15 min). This PDF lesson is intended for the Administrator of your ArcGIS Online, describing how to enable ArcGIS Notebooks capability in the organization. Hello Notebook! (PDF Lesson – 15 min). Learn how to create the first notebook in ArcGIS Notebooks, basics operations, create a map, add a layer and save the notebook. Teach Web GIS with ArcGIS Notebooks (PDF lesson – 30 min). Teach web GIS workflows in ArcGIS Notebooks using python scripting methods. Learn how to perform analysis in both ArcGIS Online and ArcGIS Notebooks. Convert ArcGIS Notebooks to slides (Video – 2 min). This video shows how to convert an ArcGIS Notebook into a slideshow for teaching. Deliver a class assignment as an ArcGIS Notebook (Video – 2 min). This video shows how to use an ArcGIS Notebook to deliver a class assignment. Linking Blackboard LMS to ArcGIS to share Notebooks (Video – 2 min). This video shows how to share ArcGIS Notebook assignments via the Blackboard LMS. This new learn path helps to easily adopt the Notebooks in your course(s). In near future, we also plan to write another learning path targeted more for students to learn to use ArcGIS Notebooks. If you need more info on enabling ArcGIS Notebooks in your organization, read this related blog. We welcome your feedback! . Feel free to contact me at email@example.com, if you have any questions or need more assistance.
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Deep learning when applied to video and oriented imagery can be groundbreaking and great value is realized when location is added to this equation. Join webinar: Title: GeoAI with Video and Oriented Imagery Date: July 28, 2020 Time:9:00 - 10:00 am PDT • View the recording • View the slide deck In this webinar, we will explore how to use ArcGIS GeoEvent Server with NVIDIA's DeepStream to build an enterprise-wide video analytics workflow, that is able to analyze massive amounts of real-time video surveillance feeds for deep traffic analytics. We will also cover how to build an end-to-end oriented imagery feature extraction pipeline using custom computer vision networks and ArcGIS for a variety of use cases such as road sign extraction, optical character recognition, and road condition classification. Past GeoAI webinar on-demand recording links: Imagery Deep Learning Made Easy (on-demand) Text Analytics and Location Intelligence (on-demand) AI for Lidar Feature Extraction (on-demand) Making Predictions with ArcGIS (on-demand)
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Do you remember how big and exciting Esri UC in San Diego was? And how easy it was to get lost in many different events and activities? Moving the UC to a virtual format will have a similar experience. There will be many sessions, plenary and technical workshops, a virtual expo showcase, sponsors and exhibitors, Map Gallery, networking opportunities, and lots more! Following are some recommendations to help you plan ahead and save you time. To get started, please take a moment to open: How to Navigate the 2020 Esri UC (a 7m24s video on YouTube) Esri User Conference Attendee Guide (PDF) Esri User Conference FAQs To navigate sessions in these focused topics: Education Industry Spatial Analysis and Data Science Remote Sensing Developer (web) Developer (Runtime) Activities that may interest you: Esri Science Symposium– Thursday, July 16, 2020 – 6:15 – 7:45 am PDT Higher Education Special Interest Group (SIG) meeting – Thursday, July 16, 2020 starts at 9:15 – 10:15 am PDT. Higher Education team will be at the Esri Showcase – Education. Please come and visit us. Don’t forget the Networking feature among attendees and also join fun activities like Esri UC Virtual Run/Walk 2020 or visit Esri merch store. Finally, here is the link to UC full agenda. If you have not yet register, it is not too late. Here is the info for educators and students on how to register. Enjoy the Esri UC! While we miss meeting you in person, we hope to virtually see you there.
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The Esri Virtual User Conference has many Data Science related sessions. To help you navigate, we have prepared a more focused agenda . If you are not registered for the 2020 Esri Virtual User Conference, you can register here .
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Making Predictions is one of the most important aspects Machine Learning can help with. A lot of these predictions are geospatial ones by design, like predicting high potential areas for retail, predicting disease propagation, or predicting car crash risk per street segment. ArcGIS has both spatial machine learning algorithms that takes geography inherently into consideration. It also has a lot of tools that can help prepare spatial data for training by different machine learning frameworks Join this webinar to learn more about ArcGIS Predictive Modeling capabilities: Date: June 16, 2020 Time: 9:00 – 10:00 am PDT Link to register: https://bit.ly/30dViFt Webinar recording & slide deck: View the recording: https://bit.ly/37ZkvW7 View the slide deck: https://bit.ly/2VcJ64zhttps://bit.ly/2VcJ64z Additional Resources: Build the same housing valuation model shown in the webinar: https://bit.ly/3dvRhPM View the retail machine learning story map shown in the webinar: https://bit.ly/2Z03jff Try other sample notebooks: https://bit.ly/3etF27P Spatial statistics GitHub resources: https://bit.ly/37TIhmB View the Q&A from webinar: https://bit.ly/2Z0RzJn Join the GeoAI LinkedIn Group, a place for discussions, resources, and news related to artificial intelligence (AI) and location Intelligence: https://bit.ly/2CBe5RB
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