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Average Ratings 0 Ratings

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ease
features
design
support

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Description

GeoGrid functions as a streamlined geographic information system that is universally accessible, equipped with fundamental features, and is instantly available through cloud, web, and mobile platforms. This innovative tool enables users of all backgrounds, beyond just GIS professionals, to visualize, manage, and analyze both spatial and business data using engaging, map-based dashboards. Its adaptable data model can integrate and process over 450 different formats and sources of data, such as through FME integration, simplifying the collection, transformation, and integration of geospatial and tabular data. Users have the ability to craft visually appealing interactive maps that utilize OpenStreetMap bases, allowing them to delve into object attributes, linked documents, tables, and charts while revealing intricate spatial relationships. The capability for real-time asset monitoring enhances cost savings and improves operational efficiency, whether utilized independently or in conjunction with other GIS systems. Additionally, collaborative editing features enable multiple users, whether in an office environment or out in the field, to make live updates, additions, or deletions of objects, fostering greater teamwork and project accuracy. Overall, GeoGrid serves as a versatile platform that accommodates the diverse needs of its users.

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

Screenshots View All

Screenshots View All

Integrations

Google Earth Engine
OpenStreetMap
SQL
Union Pandera

Integrations

Google Earth Engine
OpenStreetMap
SQL
Union Pandera

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

Globema

Founded

1997

Country

Poland

Website

geogrid.globema.com

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

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