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Description
Experience rapid and robust spatial analysis with TargomoLOOP, a cloud-based platform that elevates location planning to unprecedented heights. This innovative location intelligence solution caters to various industries, including retail and last-mile delivery services, equipping users with the tools necessary to construct advanced mapping and location analytics applications powered by a high-performance API suite. Ideal for online marketplaces, real estate, job platforms, and classifieds, Targomo streamlines the process for retailers and delivery providers when it comes to site selection and location network planning. Thanks to its user-friendly interface and access to pre-loaded data, TargomoLOOP allows individuals with no technical expertise to conduct swift and impactful spatial analyses. Users can explore multiple scenarios in just a matter of minutes, obtaining data-driven insights that significantly enhance their decision-making capabilities. Furthermore, the platform facilitates comprehensive analysis of locations and catchment areas by incorporating travel time calculations, socio-demographic information, movement patterns, and points of interest (POI), making it an invaluable tool for strategic planning and operational efficiency. Ultimately, TargomoLOOP stands out as an essential resource for anyone looking to optimize their location-based strategies effectively.
Description
The City Form Lab has unveiled an innovative toolbox designed specifically for analyzing urban networks. This groundbreaking ArcGIS toolbox is the first of its kind, featuring centrality tools that facilitate the computation of five distinct graph analysis measures on spatial networks: reach, gravity, betweenness, closeness, and straightness. Additionally, it includes redundancy tools that calculate the redundancy index, identify redundant paths, and assess the wayfinding index. Notably, these tools boast three key features that enhance their effectiveness for spatial analysis in urban street networks. Firstly, they are capable of considering both geometry and topology within the input networks, allowing for the use of metric distance (such as meters) or topological distance (like turns) as impedance factors during analysis. Secondly, in contrast to earlier software tools that only handle two network elements—nodes and edges—the UNA tools introduce a third element: buildings, which serve as the spatial units for all analytical measures. This comprehensive approach not only improves the accuracy of urban analysis but also provides deeper insights into the relationships within urban environments.
API Access
Has API
API Access
Has API
Integrations
ArcGIS
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Targomo GmbH
Country
Germany
Website
www.targomo.com
Vendor Details
Company Name
City Form Lab
Country
United States
Website
cityform.mit.edu/projects/urban-network-analysis.html
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Location Intelligence
Behavioral Analytics
Data Visualization
Demographic Data
Geocoding
Geofencing
Location Tracking
Predictive Analytics
Trade Area Analysis
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis