Find restaurant clusters
See the ArcGIS Python Libraries in Action
FEATURED NOTEBOOKS
Prediction: Identify urban heat islands
Find city areas with high temperatures and high density of residents with Empirical Bayesian Kriging (EBK) regression.
FEATURED NOTEBOOK
Machine Learning: Downscale climate models
Explore the machine learning libraries in ArcGIS and its strong extensibility to external machine learning libraries to downscale climate models.
FEATURED NOTEBOOK
Raster Analytics: Pawnee Fire analysis
Use the Sentinel-2 imagery layer to perform remote-sensing tasks and wildfire analysis of the Pawnee Fire in Lake County, California.
FEATURED NOTEBOOK
Raster Analytics: Explore wildfire landslide risk
Use raster function chains to create a landslide risk map and summarise risk by watershed sub-basin in Sonoma and Napa Counties in California.
FEATURED NOTEBOOK
Deep Learning: Detect swimming pools
Apply deep learning to detect swimming pools from satellite imagery. Export training data, train a model, and deploy the model for inference.
FEATURED NOTEBOOK
Site Selection: Health clinics
Learn how to use location allocation tools to identify a suitable location for a new clinic for ALS patients.
Notebooks gallery
View curated collections of notebooks, based on key workflows, to learn how you can start your spatial data science journey.
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Site selectionReview a workflow that explores data and performs clustering analysis to determine the potential best zones for a new restaurant in Pittsburgh.
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Routing
Find the nearest hospital
This workflow creates routes to all nearby hospitals from an emergency incident to identify the optimal route to transport the injured. -
Raster analytics
Count features in satellite images
This workflow counts the number of centre pivots through the Difference of Gaussians method using the scikit-image library. -
Deep learning
Predict El Niño–Southern Oscillation
Explore correlation analysis and time-series analysis to predict El Niño–Southern Oscillation (ENSO) based on climate variables and indexes. -
Content management
Check for broken URLs
This workflow can be used to automatically identify WebMaps with broken layers and alert the necessary users to take appropriate action. -
Administration
Manage inactive users
Learn how to sift users within a portal, disable those who haven't logged in for some time, and trigger an email informing them of this. -
Network analysis
Track river pollutants
Find the watershed area that drains to a storm drain and identify the route that pollutants will take if they are dumped into the drain. -
Machine learning
Predict asthma rates
Use the Forest-Based Classification method to identify the block groups that have the highest children's hospitalisation rates for asthma issues.