Spatial Analytics

Overview

What Is Spatial Analytics?

Spatial analytics gives you data-driven insights on site selection, sustainable urban planning, energy-efficient design and construction ideas, and immersive project visualization. With DBF's geospatial analytics, you can ensure smarter, more resilient, and 50% cost-effective built environments.

01 Design Validation via KPIs

02 Isochrone Mapping Tool

03 User-friendly Platform

Platform

Spatial Analytics in Action

Four pillars powering DBF's geospatial intelligence platform across every project lifecycle stage.

01 — Validation

Design Validation and Optimization

The geospatial analytics tool facilitates rigorous design validation and optimization, helping you fine-tune your projects for maximum impact.

02 — Analytics

Project Lifecycle Analytics

Access advanced geospatial analytics that span the entire project lifecycle, providing invaluable insights and support at every stage.

03 — Engagement

Inclusive Stakeholder Engagement

Our geospatial platform fosters engagement from a broad spectrum of stakeholders, ensuring that every voice is heard and considered.

04 — Location

Location-based Analytics

Analyze development sites with precision to identify ideal predictive geospatial analytics parameters for sustainable, future-proof projects.

Modules

Features Of DBF's Sustainable Building Technology

MOD-01

Network Analysis

Conduct a meticulous analysis of the city's road network, shedding light on segments that are optimally connected and heavily traversed.

MOD-02

City Analysis

Get insights on city metrics covering fulfillment, diversity, density, CO2 emissions, and concentration — from District and Community to Neighbourhood and Plot.

MOD-03

Isochrone

A powerful mapping tool that vividly displays the area individuals can reach using different travel modes within a designated time frame.

MOD-04

Persona Analysis

Create a Persona tailored to the specific needs of a demographic group, enabling in-depth spatial analysis based on your chosen profile.

MOD-05

Carbon Analysis

DBF's spatial analytics platform estimates the CO2 emissions of a project, helping teams make more sustainable design decisions.

MOD-06

Proximity Analysis

Get a score that informs you about essential services within walking, biking, or public transport reach from any location.

MOD-07

Density Analysis

Understand spatial patterns, optimize land use, and enhance urban efficiency with analytics that reveal concentration and spread of activity.

MOD-08

Diversity Analysis

Assess balance, accessibility, and vibrancy in built environments via DBF's real-time spatial analytics tools.

MOD-09

Fulfillment Analysis

Delivers a comprehensive score, assessing the accessibility of services within a given area to support planning decisions.

Use Cases

Spatial Analytics In Action

Real-world applications driving measurable outcomes across energy, logistics, and site strategy.

Minimize Energy Consumption

It's crucial to understand the energy consumption entities while designing a residential or commercial building.

Spatial analytics allows you to analyze data on solar radiation, wind patterns, and microclimate — so you can optimize building orientation, facade design, and landscaping to reduce reliance on artificial heating and cooling.

Optimize Project Layout

When designing a project, the goal should include minimizing travel time and better workflow for everyone.

With DBF's geospatial analytics, you can analyze people and vehicle movement, identify bottlenecks, and optimize the project layout — simulating different layouts to predict impact on traffic flow and pedestrian movement.

Smart Site Selection & Feasibility

Choosing the right location for your site allows you to build a project for more than a hundred years.

Our predictive geospatial analytics gives you data-driven location analytics to visualize real-time data, assess risks, and evaluate site potential so you can make well-informed decisions with confidence.

Support

Frequently Asked Questions

Common questions from our prospects.

Open all FAQ

What's the difference between spatial and geospatial analytics? +

Spatial analytics is a broader term that generally encompasses space and location, such as indoor building layouts and floor plans, outer space or virtual environments. On the other hand, geospatial refers to data tied to a geographic or location-based setting, such as longitude and latitude, zip code, etc.

What is GIS and spatial analysis? +

GIS (Geographic Information System) is a technology that collects, stores, and analyzes geospatial data. Spatial analysis uses GIS (or other tools) to examine spatial relationships, patterns, and trends. Example: GIS is used to map crime incidents and then conduct spatial analysis to define crime hotspots.

Why is spatial visualization important? +

Spatial visualization transforms complex location-based data into interactive maps and models so you can quickly understand patterns, relationships, and trends that would otherwise be hidden in raw data.