Home › Spatial analysis › Importance Value Index (INP), Vegetation Analysis
Importance Value Index (INP), Vegetation Analysis QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
Calculate Relative Density (KR), Relative Frequency (FR), Relative Dominance (DR), and Importance Value Index (INP) of vegetation, and generate raster heatmaps using IDW interpolation.
About
The INP Vegetation Analysis Plugin is designed to process and analyze vegetation data using Importance Value Index (INP). The plugin calculates Relative Density (KR), Relative Frequency (FR), Relative Dominance (DR), and INP for various vegetation growth stages, including trees, poles, stakes, seedlings, lianas, and understory plants. It can export analysis results to CSV, add calculated attributes to vector data, and generate raster heatmaps to visualize spatial distribution using IDW interpolation. Click here to customize the data naming conventions at the stage level: https://docs.google.com/spreadsheets/d/1Pwo5Hs-0Z4UUl0CKj2GvnmGixT2cVVAWlecih10NOuw/edit?usp=drivesdk. The guidelines can be accessed at the following link: https://drive.google.com/file/d/1SJFC4Vl5N0wtCwlgZxUccL4qvvAaOM4X/view?usp=drivesdk.
| Author | Muhammad Parif |
|---|---|
| Downloads | 189 |
| Latest version | 2.7.7 |
| Last updated | 2026-09-03 (42 days ago) |
| Min QGIS | 3.0.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Category | Spatial analysis |
| Tags | vegetation, inp, forestry, importance value index, vegetation analysis, idw, heatmap |
Homepage · Repository · Issue tracker · Official page
Alternatives in Spatial analysis
- Group StatsQGIS 4 ready
Stats and analysis for vector layers data
- Data PlotlyQGIS 4 ready
D3 Plots for QGIS
- CrayfishQGIS 4 ready
Tools for mesh layers QGIS
Related plugins
- AI Segmentation by TerraLabQGIS 4 ready
AI segmentation in QGIS 3.22 to 4. Draw a zone, name an object and get every building footprint, tree or solar panel as vector polygons, or
- FlaiQGIS 4 ready
Provides GUI access to Flai’s Open Lidar Data Hub and local control over the Flai CLI for AI-powered geospatial classification.
- BathyFlowDEMNot QGIS 4 ready
Anisotropie interpolation for bathymetric data
- GeoInterpolation AnalystQGIS 4 ready
Exploratory spatial data analysis, geostatistics, and advanced spatial interpolation (IDW, RBF, Ordinary Kriging) with LOOCV cross-validatio
- Best Fit InterpolatorQGIS 4 ready
Decision-support plugin for selecting, validating, and applying spatial interpolation methods in QGIS.
- Hybrid IDW-Kriging InterpolatorQGIS 4 ready
Hybrid spatial interpolation combining IDW and Ordinary Kriging with CV, anisotropy and zones
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.