Statistical analysis of raster data,
R-first.

Insensa-GIS is a free desktop tool for statistical analysis of geospatial raster data. Its plugin system lets researchers ship their R scripts as full-featured plugins — with auto-generated Swing settings dialogs — without writing a line of Java.

Download Write a plugin

## Insensa renders this as a settings dialog
library(insensa)

insensa::uiAddInputNumeric("digits",
                           displayText  = "Decimal digits",
                           defaultValue = 3)
insensa::uiAddBoolean("includeNA",
                      displayText  = "Count NA",
                      defaultValue = FALSE)

## ...and reads the values back at run time
digits    <- insensa::getVar("digits",    default = 3)
includeNA <- insensa::getVar("includeNA", default = FALSE)

What it gives you

R-first plugin system

Plugins are R scripts. Declare settings with uiAdd*, read them with getVar, push results back with addVar. No Java needed.

Reproducible Connections

Every operation on a raster lives as a Connection — settings, dependencies and outputs persisted as XML. Re-run the entire pipeline when source data changes.

In-app plugin store

Browse and install community plugins directly from inside Insensa. The updater pulls signed plugin packages from insensa.org.

Who it's for

GIS analysts and environmental researchers running Pearson/Spearman correlation maps, indexation, sensitivity analyses, MaxEnt SDM workflows.
R-savvy plugin authors who want a clean delivery channel for their methods, with a settings UI for free.
Government agencies and NGOs that need an auditable open-source pipeline for spatial-statistics work.