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Advanced Analytics with ArcGIS
Samuel CookSolutions Engineer
Natural Resources, Esri
AI is used today literally everywhere..
Autonomous Cars
Predictive Maintenance
Chatbots
Cancer Detection
Crime Prediction
Personalized Marketing
FacialRecognition
Advanced Video Analytics
Stock Market Prediction
Advanced Satellite Intelligence
WarRobots
Sentiment Analysis
1. AI > ML > DL
Reasoning Knowledge Representation
Perception
RoboticsNLP Machine Learning
features Labels1. Training
2. Predicting
Supervised Learning
Unsupervised LearningReinforcement Learning
Deep Supervised Learning
Artificial Intelligence Machine Learning Deep Learning
Dog
Machine Learning
Deep Learning
Artificial Intelligence
CNTK TensorFlowTheano
Natural Language Processing
Video game behavioral AI
Robotics
Keras
IBM Watson
scikit-learn
Computer Vision
How can ArcGIS AI Capabilities Help you today?
PredictionObject Detection Pattern Detection
Detecting Objects from Imagery/Videos, Land Cover,
Change Detection..
Buildings, Road Segments, Swimming Pools, Blight, Graffiti, Overgrowth, Road Signs, Vehicles from CCTVs,
and more
Predicting Geospatial Events/Phenomena
Water Pipe Breaks, Asthma Rates, Diseases, Crimes, Crashes, Incidents,
Fires, Congestion, 911 Calls,
Finding Statistically Significant Clusters & Patterns
Top Risky Segments, Emerging Hotspots of 911 Calls, Disease
Clusters, and more
ArcGIS Machine Learning Tools
ArcGIS
Classification
Clustering
Prediction
Machine Learning Tools in ArcGIS
• Maximum Likelihood Classification
• Random Trees• Support Vector Machine
Clustering
• Empirical Bayesian Kriging• Areal Interpolation• EBK Regression Prediction• Ordinary Least Squares
Regression and Exploratory Regression
• Geographically Weighted Regression
• Forest Based Prediction• Spatially Constrained Multivariate Clustering
• Multivariate Clustering• Density-based Clustering• Image Segmentation• Hot Spot Analysis• Cluster and Outlier Analysis• Space Time Pattern Mining
Classification Prediction
Predicting Unknowns by Training a Model on a Labelled Dataset
Use Case: Predicting Asthma Hospitalizations per Block Group in Connecticut. Exploring the Top Factors behind the Prediction (Hospitalization) as well
Prediction
In ArcGIS: Forest Based Classification and Regression, Geographically Weighted Regression, Ordinary Least Squares Regression
Using the known to estimate the unknown
Use Case: Accurately predict impacts of climate change on local temperature using global climate model data
Prediction
In ArcGIS: Empirical Bayesian Kriging, Areal Interpolation, EBK Regression Prediction, Ordinary Least Squares Regression and Exploratory Regression, Geographically Weighted Regression
The grouping of observations based on similarities of values or locations
Use Case: Given the nearly 50,000 reports of traffic between 5pm and 6pm in Los Angeles (from Traffic Alerts by Waze), where are traffic zones that can be used to elicit feedback from current drivers in the area?
Clustering
In ArcGIS: Spatially Constrained Multivariate Clustering, Multivariate Clustering, Density-based Clustering, Image Segmentation, Hot Spot Analysis, Cluster and Outlier Analysis, Space Time Pattern Mining
The process of deciding to which category an object should be assigned based on a training dataset
Use Case: Classify impervious surfaces to help effectively prepare for storm and flood events based on the latest high-resolution imagery
Classification
In ArcGIS: Maximum Likelihood Classification, Random Trees, Support Vector Machine
GeoAI Sample Use-Cases (Videos)
ETA Prediction Accidents Probability Prediction Smart Road Digitization
High Resolution Land Cover Object Detection from VideosObject Detection from Imagery
ArcGIS Notebooks
Integrating• Open source libraries• Various data sources• API for Python + ArcPy• Analytics Servers
Organizes• Code• Data• Visualization• Documentation
Data Stores/Lakes
Notebook Server
ArcGIS Enterprise
Advanced Analytical CapabilitiesSpatial Analysis, Raster Analytics, GeoAnalytics
ArcGIS Notebooks
• Performing analysis• Spatial analysis• Spatial data science
• Machine learning• Deep learning
• Automating analytic and administrative workflows related to GIS
• Operationalizing data science models
ArcGIS Notebooks Demonstration
Combining the AI power of Microsoft with the geospatial analytics of Esri.
Pre-Configured environments in the cloud for Geospatial Data Science & AI Modelling, Development & Deployment.
https://azure.microsoft.com/en-us/blog/microsoft-and-esri-launch-geospatial-ai-on-azure/
GeoAI Virtual Machine
ArcGIS Pro
AI can help withPrediction
Clustering Anomaly DetectionObject & Feature Detection Land Classification
Resources to learn more
Documentation• Geostatistical Analyst (prediction)• Image Classification (classification)• Spatial Statistics (clustering, prediction)
Other useful links• http://esriurl.com/analysis (Case Studies)• http://esriurl.com/spatialstats (Spatial Statistics resources page)• GeoAI: ArcGIS and Artificial Intelligence
• Suggestion: Choose one use-case to Pilot
• Contact: [email protected]
Questions?
