SADIE

Analyze spatial pattern in count data

Status: Abandoned

Brought to you by: squirreldancer

Add a Review

Downloads: 0 This Week

Last Update: 2013-04-11

Download

Get an email when there's a new version of SADIE

SADIE is a system for spatial analysis of ecological data in the form of counts at spatially-referenced locations. SADIE analysis produces local indices of clustering or association so the spatial pattern or association can be visualized.

Project Activity

See All Activity >

Follow SADIE

SADIE Web Site

Other Useful Business Software

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Try It Free

Rate This Project

User Reviews

Be the first to post a review of SADIE!

Additional Project Details

Registered

2010-04-19

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Try It Free

Recommended Projects

nofdp IDSS
The nofdp IDSS is an open source application for modeling flood control measures and 1D hydrodynamic flood simulation. Additional modules for ecological and spatial analysis, multicriteria evaluation and communication are included.
GRASP
GRASP means Generalized Regression Analysis and Spatial Prediction. It is a plugin for R and S-Plus statistical packages that offers an automated way of making spatial predictions from point surveys using Generalized Addititive Models.
ASH-Toolset
Headphone Correction and Spatial Audio on Headphones
ANDS SISS (DC4B) Project
GIS-Enabled Infrastructure for Spatially Integrated Social Science
MicroCity
MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Grid data and perform Spatial, Fractal, Network analysis and simulation.