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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Predicting and modeling spatial phenomena through real-world observations can often be challenging and impractical. The ArcGIS Geostatistical Analyst tool enables the creation of optimal surfaces derived from sample data, facilitating improved decision-making through the evaluation of predictions. This functionality proves particularly beneficial for various fields such as atmospheric data analysis, exploration in petroleum and mining, environmental assessments, precision agriculture, as well as fish and wildlife research. Equipped with a collection of interactive tools, the ArcGIS Geostatistical Analyst extension allows users to visually explore their data prior to conducting a thorough analysis. In cases where data may be incomplete or contain errors, this tool offers a probabilistic framework that helps quantify uncertainties effectively. Users can generate multiple surface versions to conduct comprehensive risk analyses. Additionally, geostatistical simulation generates a range of surfaces that replicate the actual phenomenon and present possible value outcomes, enhancing the robustness of spatial analysis. By leveraging these capabilities, users can make more informed decisions based on a clearer understanding of the data uncertainties involved.

Description

ENVI stands as the leading choice in the realm of image processing and analysis, utilized by image analysts, GIS experts, and researchers to derive accurate, timely, and dependable insights from geospatial imagery. Its scientific validation, user-friendly interface, and seamless integration with Esri’s ArcGIS platform have made it a favored tool in the industry. For over thirty years, ENVI has consistently embraced innovation, accommodating a diverse array of data types such as multispectral, hyperspectral, thermal, LiDAR, and SAR. The platform democratizes deep learning by providing intuitive tools and workflows that do not necessitate programming expertise. Additionally, ENVI offers customization options through an API and visual programming environment, allowing users to tailor the software to their specific project needs. By employing scientifically validated analytics, ENVI ensures the delivery of professional-grade results. Organizations opt for ENVI due to its ability to fit seamlessly into existing workflows, compatibility with the most prevalent sensors today, and the flexibility to adapt to unique project specifications. Ultimately, ENVI's comprehensive capabilities make it an indispensable asset for professionals seeking to maximize the value of geospatial data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Amazon Web Services (AWS)
ArcGIS
ArcGIS CityEngine
ArcGIS Pro
TractBuilder

Integrations

Amazon S3
Amazon Web Services (AWS)
ArcGIS
ArcGIS CityEngine
ArcGIS Pro
TractBuilder

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

Esri

Founded

1969

Country

United States

Website

www.esri.com/en-us/arcgis/products/geostatistical-analyst/overview

Vendor Details

Company Name

L3Harris Geospatial Solutions

Founded

1977

Country

United States

Website

www.l3harrisgeospatial.com/Software-Technology/ENVI

Product Features

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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