Geospatial Comparisons & Statistical Analysis
In-depth analysis to support high-impact decisions
Overview
Uncover patterns, trends, and drivers in your spatial data. Statistical modeling and multi-criteria site suitability analysis. Custom dashboards for scenario comparison and stakeholder engagement.
How It Works: Visual Breakdown
See the complete automation workflow with diagrams and code examples
System Architecture
Microsoft ecosystem integration with Power Automate orchestration, multi-source demographic data aggregation, PostGIS spatial joins, and Copilot-powered insights.
⚙️Key Components
Microsoft's workflow automation with SharePoint/Teams integration
Analyzes analysis objectives and recommends optimal data sources
Joins point locations to Census tracts, counties, and custom polygons
Correlation analysis, regression modeling, and significance testing
Interactive visualizations with drill-down capabilities
AI-generated narrative summaries of statistical findings
Visual Examples
See the solution in action with real dashboard examples and visual comparisons
Key Features:
Key Features:
💡Note: The dashboard screenshots above are placeholders. Actual screenshots will be added after finalizing native in-app dashboards or capturing real application screenshots. Image paths are specified for easy integration.
Automated MCP Agent Workflow
Powered by n8n, Make.com, and Model Context Protocol agents
User requests site comparison for expansion/development
“Compare these sites for renewable energy development. Analyze multi-criteria suitability including: solar resource (NREL), transmission line proximity (HIFLD), land cost (Zillow API), environmental risk (EPA, USFWS), permitting complexity (county databases), community support (census demographics). Weight factors by regulatory impact and ROI potential.”
- Ranked site list with composite scores
- Power BI interactive dashboard
- Mapbox comparison webmap
- Statistical confidence intervals
- Executive summary (AI-generated)
- Excel with full data and scoring methodology
Key Features
Multi-criteria decision analysis (MCDA)
Statistical normalization and weighting
Bootstrap confidence intervals
Spatial autocorrelation analysis
Scenario modeling (adjust weights, see new rankings)
Interactive Power BI dashboards
Mapbox comparison maps with filters
AI-generated executive summaries
Export to Excel, PDF, or web embed
Technology Stack
API Integrations
Real-World Results
Challenge
Select 10 new store locations from 500 candidate sites across 25 metro areas. Manual analysis taking 6 weeks per market (150 hours).
Our Solution
Power Automate flow triggered by Excel upload. Azure Function queries 8 APIs (Census, Google Roads, ArcGIS, Zillow, GTFS, Twitter) for each site. Python statistical analysis: normalize variables, apply weights (traffic 20%, income 15%, competition -25%), calculate composite scores with bootstrap confidence intervals. Microsoft Copilot generates summaries. Outputs: ranked Excel, Power BI dashboard, Mapbox comparison map, Teams notification.
Results Achieved
Flexible Pricing Options
Choose the plan that fits your needs
Test the solution with a limited scope project to validate ROI before full deployment.
Get StartedFull production deployment with hosting, monitoring, and ongoing updates included.
Schedule DemoWhite-label solutions, multi-tenant deployments, SLA guarantees, and dedicated support.
Contact SalesFrequently Asked Questions
Common questions about our GIS automation solutions
Still have questions?
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Implementation stack
Technologies We Work With
We choose the stack around the job: browser maps for decision surfaces, spatial databases for reliable data, Python and GIS libraries for analysis, and annotation tools when imagery needs reviewer-ready labels.
QGIS
GIS Software
ESRI ArcGIS
GIS Platform
PostgreSQL
Database
PostGIS
Spatial Database
AWS
Cloud Platform
Google Cloud
Cloud Platform
DuckDB
Analytics Database
OpenAI
AI Platform
Claude AI
AI Assistant
CVAT
Annotation Tool
Python
Programming
React
Frontend
Node.js
Backend
Docker
Containerization
Kubernetes
Orchestration
Azure
Cloud Platform
TensorFlow
Machine Learning
Pandas
Data Analysis
NumPy
Scientific Computing
Jupyter
Data Science
Git
Version Control
Linux
Operating System
Ubuntu
Operating System
Mapbox
Mapping Platform
Leaflet
Web Mapping
Fastapi
API Framework
GeoPandas
Geospatial Analysis
GDAL
Geospatial Library