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Ratings and Reviews 0 Ratings
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What is TerreLogiche GIS Solution?
Recently, the use of Geographic Information Systems (GIS) has surged due to significant technological improvements, particularly in the realm of user-friendly interfaces. These advancements have greatly enhanced the ways in which geographic areas are managed and analyzed, demonstrating their adaptability across multiple industries. Consequently, GIS has become a vital resource for numerous professionals, fueled by the demand for georeferenced data from Public Administration and various other sectors. TerreLogiche proudly supports the QGIS project, which is recognized as a premier GIS software and holds the title of the most widely adopted solution in the Open Source community. Over the past few years, QGIS has not only achieved immense popularity but has also developed considerable technical sophistication, becoming the preferred software for numerous companies, research institutions, and governmental bodies. The increasing dependence on QGIS reflects its capacity to meet a variety of spatial analysis requirements while ensuring accessibility for users in diverse fields. This trend underscores the growing importance of GIS technology in informing decision-making processes across a broad spectrum of applications.
What is GeoPandas?
GeoPandas is an open-source project driven by the community, aimed at making geospatial data handling easier within the Python programming environment. By building upon the existing data types from pandas, GeoPandas allows for efficient spatial operations on geometric data types. This library employs shapely to perform geometric functions, while relying on fiona for managing files and matplotlib for creating visualizations. The core objective of GeoPandas is to enhance the user experience when working with geospatial data in Python. It merges the capabilities of both pandas and shapely, enabling users to execute geospatial operations effortlessly within the pandas ecosystem and offering a straightforward interface for various geometric functions through shapely. With GeoPandas, tasks that traditionally required a spatial database, such as PostGIS, can be accomplished directly in Python. The initiative is backed by a diverse and global community of contributors with different skill levels, ensuring continuous development and support. Furthermore, the commitment to remaining fully open-source and being available under the flexible BSD-3-Clause license fosters its ongoing accessibility and evolution. Hence, GeoPandas stands out as an invaluable tool for anyone interested in engaging with geospatial data in a practical and user-friendly manner, potentially transforming complex data analysis tasks into more manageable ones.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
TerreLogiche
Company Location
Italy
Company Website
www.terrelogiche.com
Company Facts
Organization Name
GeoPandas
Date Founded
2013
Company Website
geopandas.org/en/stable/
Categories and 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
Categories and 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