This repository contains samples for the Insights products from Google Maps Platform.
You can learn more about the products on the product page.
Agent Platform Model Garden | Demo
earth_ai_remote_sensing/: Samples for indexing aerial and satellite orthoimagery with Google Maps Platform Aerial and Satellite Models (RS-SigLIP2, part of the Google Earth AI Remote Sensing Foundation Models effort) on Agent Platform Model Garden and running regional vector search in BigQuery.notebooks/region_search_bigquery/: End-to-end Google Colab Enterprise / BigQuery Studio notebook demonstrating512×512public-domain USDA/USGS NAIP tile embedding (1152-D),Text → ImageandImage → ImageVECTOR_SEARCH, and Opportunity Finder (A − B) vector algebra.
places_insights/: Samples for analyzing the Places Insights BigQuery dataset.notebooks/: Example Google Colab notebooks for querying the dataset and visualizing the results.custom_location_scores/: Combines Places Insights data with BigQueryAI.GENERATE(Gemini) to calculate and visualize AI-powered suitability scores for real estate listings based on a specific user persona.nevada_site_selection/: Demonstrates a multi-stage site selection workflow for a new coffee shop in Las Vegas, combining competitor analysis, commercial suitability scoring, and target market density on an interactive map.sample_data_demo/: A technical introduction demonstrating how to query, aggregate, and visualize Places Insights data in BigQuery using Standard SQL, Python, and the H3 grid system to analyze commercial density across global cities.spot_check_results/: Illustrates a workflow for spot-checking analytical data by combining H3 density aggregations with the Place Details API to visualize both statistical hotspots and individual locations on an interactive map.
places-insights-demo/: Source code for an interactive JavaScript web application demo.sample_queries/: Sample SQL queries for aggregating location data directly in BigQuery.
roads_management_insights/: Recipes for insights related to roads management.route_registration_from_csv/: A Python script to create routes in Google Roads API from a CSV file.
street_view_insights/: Recipes for insights from imagery data.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
This project has adopted the Google Open Source Community Guidelines.
See SECURITY.md for details on how to report security vulnerabilities.
See CONTRIBUTING.md for details on how to contribute to this project.