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Description
Atlas is an innovative, browser-based platform that leverages AI to enhance mapping and spatial data capabilities, allowing users from various sectors like real estate, energy, and public service to craft interactive maps and spatial applications without needing extensive GIS knowledge. By merging user-friendly tools with AI support, Atlas empowers individuals to transform location data into practical insights effortlessly. Users can seamlessly import various datasets, visualize patterns, and analyze spatial relationships while layering information to uncover significant trends related to territory coverage, site suitability, customer distribution, and environmental considerations. The platform operates within a cohesive workspace that fosters collaboration, enabling project sharing and real-time teamwork. Additionally, Atlas offers a range of templates and widgets designed to streamline common mapping activities, including creating power plant maps, developing site selection dashboards, planning franchise territories, scheduling site visits, and incorporating climate risk overlays, which enhances the overall user experience. Consequently, Atlas proves to be an invaluable resource for professionals aiming to leverage spatial data effectively in their decision-making processes.
Description
GeoPandas is a community-driven open-source initiative designed to simplify the handling of geospatial data within Python. By expanding upon the data types available in pandas, GeoPandas facilitates spatial operations on geometric data types. The library utilizes shapely for executing geometric functions, while it relies on fiona for file management and matplotlib for visualization purposes. The primary aim of GeoPandas is to streamline the process of working with geospatial data in Python. This tool integrates the functionalities of both pandas and shapely, allowing users to perform geospatial tasks seamlessly within the pandas framework and providing an accessible interface for various geometric operations through shapely. With GeoPandas, users can conduct operations in Python that typically would necessitate a spatial database like PostGIS. The project is supported, developed, and utilized by a diverse global community of individuals with varying expertise. It remains committed to being fully open-source, available for everyone to utilize, and is released under the permissive BSD-3-Clause license, ensuring its continued accessibility and growth. As such, GeoPandas serves as a powerful resource for anyone looking to work with geospatial data in a user-friendly manner.
API Access
Has API
API Access
Has API
Integrations
Google Earth Engine
Union Pandera
Pricing Details
$23 per month
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
Atlas.new
Founded
2021
Country
Norway
Website
atlas.new/
Vendor Details
Company Name
GeoPandas
Founded
2013
Website
geopandas.org/en/stable/
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis