artificial intelligence and machine learning in arcgis · object detection support vector machines...

2018 European Transportation GIS Summit

Artificial Intelligence and Machine Learning in ArcGISAlberto Nieto

2018 European Transportation GIS Summit

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Neural Networks

TensorFlow

CNTK

Natural Language Processing

Cognitive Computing

GeoAI

Computer Vision

Dimensionality Reduction

Object Detection

Support Vector Machines

Object Tracking

Keras

PyTorch scikit-learn

fast.ai

Random Forest Machine Learning

Deep Learning

Artificial IntelligenceCaffe

Machine Learning

Deep Learning

Artificial Intelligence

Machine Learning

Deep Learning

Artificial Intelligence

Data-driven algorithms and techniques that automate classification, clustering and prediction of data

Traditional Machine Learning• Useful to solve a wide range of spatial problems• Geography often acts as the ‘key’ for disparate data

Spatial Machine Learning• Incorporate geography in their computation• Shape, density, contiguity, spatial distribution, or proximity

Computationally Intensive• Esri’s continued advancements in storage and both parallel

and distributed computing make solving problems at the intersection of ML and GIS increasingly possible

What is Machine Learning?

Machine Learning

Deep Learning

Artificial Intelligence

CNTK TensorFlowPyTorch

Video game behavioral AI

Keras

ConvolutionalNeural Networks

fast.ai scikit-learn

Computer Vision

Natural Language Processing

Self-driving Vehicles

Machine Learning

Deep Learning

Artificial Intelligence

CNTK TensorFlowPyTorch

Natural Language Processing

Video game behavioral AI

Speech Recognition

Keras

scikit-learn

Computer Vision

ArcGIS Integration

ArcGIS

fast.ai

What question are you trying to answer?

Problem Categories

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

• Spatially Constrained Multivariate Clustering

• Multivariate Clustering• Density-based Clustering• Image Segmentation• Hot Spot Analysis• Cluster and Outlier Analysis• Space Time Pattern Mining

Classification Prediction

• Geographically Weighted Regression

• Forest-based Classification and Regression

Integrating ArcGIS with Deep Learning Frameworks

Apps

Desktop

APIs

ClusteringGrouping of observations based on

similarities of values or locations

Demonstration:

Exploring Patterns in Fatal Vehicle Accident in the United States

ClusteringDENSITY-BASED CLUSTERING

Demonstration:

Creating data-driven ferry routes using clustered GPS breadcrumbs

ClusteringDENSITY-BASED CLUSTERING

ClassificationDeciding categories for observations

using training data

Demonstration:

Pedestrian Activity Classification

Image AnnotationASSIGNING LABELS TO IMAGES

Demonstration:

Real-time Activity Counting from Video Camera Feeds

Object DetectionEXTRACTING FEATURES FROM IMAGERY

Demonstration:

Real-time Activity Counting from Video Camera Feeds

Object DetectionEXTRACTING FEATURES FROM IMAGERY

Spatial machine learning drives actionable information, but…

What question are you trying to answer?