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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.
Description
OpenStreetMap offers mapping data utilized by countless websites, mobile applications, and devices. This platform is developed by a collaborative group of mappers dedicated to contributing and updating information about various features such as roads, trails, cafés, and train stations across the globe. It places a strong emphasis on local expertise, with contributors employing tools like aerial imagery, GPS technology, and simple field maps to ensure the accuracy and currency of the data. The community surrounding OpenStreetMap is diverse, enthusiastic, and continually expanding, encompassing hobbyist mappers, GIS experts, server engineers, and humanitarians who focus on mapping areas affected by disasters. For further insights into this vibrant community, one can explore the OpenStreetMap Blog, user diaries, various community blogs, and the OSM Foundation website. OpenStreetMap is categorized as open data, allowing users to utilize it freely for any purpose, provided that proper credit is given to OpenStreetMap and its contributors. This openness fosters collaboration and innovation, making it a valuable resource for a variety of applications.
API Access
Has API
API Access
Has API
Integrations
Eazy Ride
Google Earth Engine
Hektar
JOpt.TourOptimizer
Morphic
Planfix
SuperMap GIS
SurvPC
Union Pandera
UrbanSim
Integrations
Eazy Ride
Google Earth Engine
Hektar
JOpt.TourOptimizer
Morphic
Planfix
SuperMap GIS
SurvPC
Union Pandera
UrbanSim
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
GeoPandas
Founded
2013
Website
geopandas.org/en/stable/
Vendor Details
Company Name
OpenStreetMap
Founded
2004
Country
United Kingdom
Website
www.openstreetmap.org
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