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🤖 Powered by MCP Agents

Geospatial Comparisons & Statistical Analysis

In-depth analysis to support high-impact decisions

85%

Time Saved

75%

Cost Reduction

Statistical confidence >95%

Accuracy

Schedule Free Consultation

Industries Served:

Retail

Healthcare

Real Estate

Political Campaigns

Franchise Development

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.

Visual Workflow

How It Works: Visual Breakdown

See the complete automation workflow with diagrams and code examples

Automated Workflow Diagram

Visual representation of the MCP agent workflow from trigger to delivery

System Architecture

Microsoft ecosystem integration with Power Automate orchestration, multi-source demographic data aggregation, PostGIS spatial joins, and Copilot-powered insights.

🏗️Component Architecture Diagram

Visual representation of system components, data flow, and integrations

⚙️Key Components

Power Automate

Microsoft's workflow automation with SharePoint/Teams integration

MCP Data Planning Agent

Analyzes analysis objectives and recommends optimal data sources

PostGIS Spatial Join

Joins point locations to Census tracts, counties, and custom polygons

Statistical Analysis Engine

Correlation analysis, regression modeling, and significance testing

Power BI Dashboard

Interactive visualizations with drill-down capabilities

Microsoft Copilot

AI-generated narrative summaries of statistical findings

Diagram Legend

MCP AI Agents

Processing/Storage

Output/Visualization

Analytics/Monitoring

Visual Examples

See the solution in action with real dashboard examples and visual comparisons

🖼️Power BI Dashboard

Interactive demographic and economic analysis dashboard with drill-down capabilities

🗺️📊

Power BI Dashboard

Screenshot Placeholder

Image path: /mockups/power-bi-dashboard.png

Key Features:

✓County-level choropleth map colored by median income

✓Population pyramid by age group

✓Employment trends over 10 years

✓Housing price index time series

✓Correlation matrix heatmap

✓Microsoft Copilot insight cards

🖼️Spatial Join Results

Table showing site locations matched to Census tracts with demographic attributes

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Spatial Join Results

Screenshot Placeholder

Image path: /mockups/spatial-join-table.png

Key Features:

✓Site ID and coordinates

✓Matched Census tract GEOID

✓Median household income

✓Population density

✓Education attainment percentages

✓Employment rate and industry breakdown

💡Note: The dashboard screenshots above are placeholders. Actual screenshots will be added after deploying Streamlit dashboards or capturing real application screenshots. Image paths are specified for easy integration.

🤖 Agentic Workflow

Automated MCP Agent Workflow

Workflow Trigger

How the automation starts

User requests site comparison for expansion/development

Webhook Trigger

New row added to Excel (OneDrive) with candidate site list

Power Automate

Microsoft 365

MCP Agent Planning

AI determines relevant comparison metrics based on industry and use case

Azure Functions

Azure OpenAI

MCP

MCP Agent Prompt:

“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.”

Data Collection

Query 15+ APIs to fetch variables for each site

REST APIs

Python

GeoPandas

Statistical Analysis

Multi-criteria scoring, normalization, weighting, confidence intervals

Python

scikit-learn

pandas

PostGIS

Visualization

Generate comparative maps, scatter plots, ranking tables

Power BI

Mapbox GL JS

Plotly

Microsoft Copilot Summary

AI generates executive summary explaining top sites and risk factors

Microsoft Copilot

Azure OpenAI

Output Delivery

Update Excel, publish Power BI report, post to Teams, send email summary

Microsoft Graph API

Power BI REST API

Teams

Deliverables

What you receive automatically

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

Automation

Power Automate

Azure Functions

n8n

GIS & Mapping

PostGIS

ArcGIS

Mapbox

GeoPandas

scikit-learn

AI & Analysis

Azure OpenAI

Microsoft Copilot

MCP Agents

API Integrations

Census API

Demographics (ACS 5-year)

Google Roads API

Traffic volume data

ArcGIS REST API

Competitor locations

Zillow API

Commercial real estate pricing

GTFS API

Public transit proximity

Twitter API

Social sentiment analysis

Power BI REST API

Dashboard publishing

Microsoft Graph API

Teams, SharePoint, Excel integration

Success Story

Real-World Results

National Retail Chain

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

500 sites analyzed in 45 minutes (vs 150 hours)

Top 10 sites identified with 95% statistical confidence

Cost: $2,500 (vs $22,500 manual)

90% time savings, 88% cost reduction

Executive team approved all 10 recommendations

First 3 stores opened with 18% higher foot traffic than forecast

Implementation Timeline

Flexible Pricing Options

Choose the plan that fits your needs

Pilot Project

Perfect for testing the solution

$7,500 (100 sites, one market)

Test the solution with a limited scope project to validate ROI before full deployment.

Get Started

Ready to Transform Your GIS Workflows?

Schedule a free 30-minute consultation to see how Geospatial Comparisons & Statistical Analysis can deliver measurable ROI for your organization.

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Technologies We Work With

Leveraging cutting-edge technologies and industry-leading tools to deliver exceptional geospatial solutions and data analytics services.

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