Statistics, machine learning and spatial / LiDAR analysis in a single workspace. Point-and-click, plain-English results, and an assistant that can run the analysis for you. It runs on your computer — your data never leaves it.
Spatial work usually means a round trip: prepare in GIS, export, model in R, export again, come back to see it on a map. Every hop loses time — and context.
Pick a tool from the menu; its settings open in the side panel and results appear in the middle. No screen-hopping, no code required.
t-tests, ANOVA, regression, mixed effects, GAM, survival, SEM and Bayesian — with the numbers explained in plain English.
Random forest, XGBoost, SVM, neural nets, clustering and PCA — trained on an explicit Run, never by accident.
Rasters, vectors and point clouds on one map: clip, reproject, terrain, hydrology, canopy models and tree detection.
Describe what you want to find out. It recommends the right method — and can run it on your data, showing exactly what it did.
A project is a folder on your machine. Close the app, come back, and everything is where you left it.
Everything runs locally. Nothing is uploaded — no account, no cloud, no telemetry.
One line in a terminal installs everything — R, the app and its packages. No admin rights, no Docker, no setup.
iwr -useb https://easyanalysis.dev/install.ps1 | iex
curl -fsSL https://easyanalysis.dev/install.sh | sh
First run downloads what it needs; after that it starts in seconds and opens at
http://127.0.0.1:7788. Keep the terminal open while you work.
On macOS and Linux, R is used if you already have it — otherwise the script tells you the one command to get it.