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features
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Description

EDMS enhances the efficiency and cost-effectiveness of environmental data collection, management, and reporting while ensuring standardization across the board. By establishing a clear, documented, and auditable procedure for collecting, storing, and reporting environmental data, it streamlines the entire process. All phases of sampling and analysis are meticulously tracked, and the system is capable of sending notifications via email or SMS for various purposes. Automatic alerts are generated for instances of non-compliance and sample exceedances, further enhancing accountability. The initial phase of any environmental field initiative involves careful scheduling and planning of sampling events, which EDMS facilitates by enabling project managers to design, assign, and oversee these events. These sampling events can be organized as one-time occurrences or scheduled regularly. Before data collection begins, project managers can identify sampling stations, which come with detailed information about their locations, construction, sampling defaults and methodologies, required laboratory analyses, necessary equipment, and personnel involved. By incorporating these features, EDMS not only simplifies the process but also ensures that all stakeholders are well-informed and prepared for successful data collection.

Description

Oriana for Windows is specifically designed to compute the unique statistics needed for circular data, such as angles or directions expressed in degrees, as well as time-related data like the hours of the day, days of the week, and months of the year. The software provides a range of analytical tools that encompass fundamental statistics, including mean vector calculations and confidence intervals, along with single sample distribution tests like Rayleigh's test, as well as pairwise and multisample assessments such as the Watson-Williams F-Test and chi-squared tests, in addition to examining pairwise correlations. Additionally, it offers various graphical representations of your data, such as rose diagrams, circular histograms, and wind roses, which help in revealing underlying patterns effectively. If your work involves analyzing directional data measured in degrees or you are investigating cyclical occurrences throughout the day, week, month, or year, then you are dealing with circular data that necessitates specialized statistical methods. Therefore, Oriana serves as an essential tool for anyone looking to delve into this type of analysis and visualize their findings clearly. By utilizing Oriana, researchers can uncover significant trends and insights from their circular datasets.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$1,695 per license
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

GAEA Technologies

Founded

1994

Country

Canada

Website

www.gaea.ca/edms.php

Vendor Details

Company Name

Kovach Computing Services

Country

United Kingdom

Website

www.kovcomp.co.uk

Product Features

Environmental

Air Management
Auditing
Compliance Management
Document Management
Emissions Inventory
Hazardous Materials Control
Sustainability Management
Training Management
Waste Management
Water Management

Product Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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