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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

SpatialExplorer serves as the central component of Phoenix LiDAR’s desktop software suite, designed to be highly adaptable to meet your data needs. It begins with data acquisition, providing users with tools for real-time streaming of point clouds, monitoring telemetry, and ensuring quality control in the field. After data is collected, its processing capabilities allow users to take command of their datasets seamlessly. Transforming raw data into geospatially accurate and polished outputs, SpatialExplorer stands out with its ability to be enhanced through various plug-in modules that introduce advanced features essential for data collection and production phases. The software boasts optimized rendering speed and quality, along with a cloud edit history that allows users to revert changes easily. It supports large ortho mosaics for effective display and colorization, and offers reorganized toolbars designed to enhance workflow efficiency. Furthermore, a newly implemented progress dialog provides real-time estimates and resource load information, making it easier to manage projects. Notably, users can visualize thousands of images in 3D, elevating their analytical capabilities. This comprehensive suite ultimately ensures that users have the necessary tools for effective geospatial data management and visualization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Earth Engine Yes 
Union Pandera Yes 

Integrations

Google Earth Engine No 
Union Pandera No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

GeoPandas

Founded

2013

Website

geopandas.org/en/stable/

Vendor Details

Company Name

Phoenix LiDAR Systems

Founded

2013

Country

United States

Website

phoenixlidar.com/spatialexplorer/

Product Features

GIS

3D Imagery No 
Census Data Integration No 
Color Coding No 
Geocoding No 
Image Exporting No 
Image Management No 
Internet Mapping No 
Interoperability No 
Labeling No 
Map Creation No 
Map Sharing No 
Near-Matching No 
Reverse Geocoding No 
Spatial Analysis No 

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