Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Google Earth Engine serves as a cloud-centric platform designed for the scientific examination and visualization of geospatial data, granting users access to an extensive public archive containing over 90 petabytes of analysis-ready satellite imagery alongside more than 1,000 carefully curated geospatial datasets. This rich collection boasts over five decades of historical imagery that is refreshed daily, with pixel resolutions reaching as fine as one meter, showcasing datasets from sources such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Through its web-based JavaScript Code Editor and Python API, Earth Engine empowers users to perform analyses on Earth observation data while employing machine learning techniques, thereby enabling the creation of sophisticated geospatial workflows. The platform's seamless integration with Google Cloud facilitates large-scale parallel processing, allowing for thorough analyses and efficient visualization of Earth data. Furthermore, Earth Engine's compatibility with BigQuery enhances its capabilities, making it a versatile tool for users in various fields. This unique combination of features positions Google Earth Engine as an essential resource for researchers and professionals working with geospatial information.
API Access
Has API
API Access
Has API
Integrations
AlphaEarth Foundations
ArcGIS Pro
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python
WeatherNext
Integrations
AlphaEarth Foundations
ArcGIS Pro
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python
WeatherNext
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$500 per month
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
Founded
1998
Country
United States
Website
cloud.google.com/earth-engine
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