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Average Ratings 0 Ratings

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ease
features
design
support

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Description

GRASS GIS, which stands for Geographic Resources Analysis Support System, is a powerful, free, and open-source suite of Geographic Information System (GIS) tools designed for the management and analysis of geospatial data, including capabilities for image processing, map production, spatial modeling, and visualization. This versatile software accommodates various data types, such as raster and vector, facilitating sophisticated modeling and data handling, as well as imagery processing and time series analysis through its Python API, which is particularly well-suited for extensive analyses. Compatible with multiple operating systems like OS X, Windows, and Linux, GRASS GIS can be utilized via a graphical user interface or seamlessly integrated with other applications, including QGIS. The software features an extensive library of over 350 modules aimed at tasks such as rendering maps, manipulating raster and vector data, processing multispectral imagery, and effectively managing and storing spatial datasets. Widely adopted in both academic and commercial environments, it also serves the needs of governmental organizations, showcasing its versatility and reliability in various geospatial contexts. The continual enhancements and community support further solidify GRASS GIS as a crucial tool for professionals working in the field of geospatial analysis.

Description

Rolta OnPoint™ serves as the backbone of Rolta’s Geospatial Fusion offerings, functioning as a comprehensive spatial integration tool that caters to a wide array of business processes and industries. With OnPoint™, organizations can swiftly and securely share GIS data over the internet, enabling real-time connections to both internal and external data sources. This seamless data integration facilitates the widespread distribution of information through Internet and Intranet channels, effectively evolving web-GIS into a genuine enterprise-level solution. Additionally, OnPoint™ is capable of interfacing with standard databases including Oracle, MS SQL Server, Teradata, Sybase, and any OBDC-compliant sources through its adaptable web services. Furthermore, OnPoint™ can also link with legacy data formats, such as flat files and hierarchical structures, utilizing Rolta’s SOA platform, iPerspective™. Its design promotes easy integration with essential business functions, thereby supporting and enhancing various specialized workflows while driving operational efficiency. This capability of connecting diverse data sources positions OnPoint™ as a vital tool for organizations aiming to leverage their spatial data for improved decision-making.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Docker
Python

Integrations

Docker
Python

Pricing Details

Free
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

GRASS

Founded

1998

Country

United States

Website

grass.osgeo.org

Vendor Details

Company Name

Rolta

Country

India

Website

www.rolta.com/products/rolta-onpoint/

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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