Geodiversity Tools for ArcGIS Pro

Author: Tomasz Bartuś
Version: 0.2.0
ArcGIS Pro: 3.x

Overview

This repository contains a set of geoprocessing tools designed to calculate partial criteria used in the assessment of landscape geodiversity.
The tools are implemented as:

• a custom ArcGIS Pro Toolbox (.atbx)
• a collection of Python scripts (.py)
• documentation for installation and usage

The workflows support analyses such as:

• vector-based landscape metrics:
  • diversity of polygonal (A) features based on the number of elements (A_Ne) and number of categories (A_Nc)
  • diversity of polygonal (A) features based on Shannon-Weaver diversity index (A_SHDI)
  • diversity of linear (L) features based on the total length of features (L_Tl)
  • diversity of point (P) features based on the number of elements (P_Ne), number of categories (P_Nc) and unit entrophy (P_Hu)
• raster-based (R) landscape metrics:
  • diversity of continuous regionalized variables based on: standard deviation (R_SD), circular standard deviation (R_SDc) and Steinhaus vertical relief index (R_M)

These tools are intended for landscape analysis, geodiversity assessment, environmental planning, and scientific research.

## Repository Structure

GeodiversityTools/
│
├── Docs/
│ ├── GeodiversityTool.pdf
│ ├── installation.md
│ ├── licence.md
│ └── ...
│
├── Symbology/
│ ├── Colors.md
│ ├── GeodiversityTools.stylex
│
├── TestData/
│ ├── TestData.md
│ ├── TestData.ppkx
│
├── Toolbox/
│ ├── Images/
│ │ ├── A_Nc.png
│ │ ├── A_Ne.png
│ │ ├── A_SHDI.png
│ │ └── ...
│ │
│ ├── Scripts/
│ │ ├── A_Nc.py
│ │ ├── A_Ne.py
│ │ ├── A_SHDI.py
│ │ └── ...
│ └── GeodiversityTools.atbx
│
├── CHANGELOG.md
└── README.md

Features

• Easy-to-use ArcGIS Pro interface (GUI)
• Script tools fully compatible with ModelBuilder
• Clean Python implementation using arcpy and Spatial Analyst
• Support for analyses of regionalized discrete and continuous variables
• Support for grid-based analysis and raster–polygon overlays
• Support for file geodatabase (.gdb) feature classes; shapefiles (.shp) are not supported.
• Integrated output standardization of geodiversity metrics, ensuring their comparability for cross-grid and cross-region analyses
• Designed for reproducible scientific workflows

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Requirements

• ArcGIS Pro 3.x
• Python 3.x (ArcGIS Pro environment)

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Installation

👉 See Docs/installation.md for full installation instructions.

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Manual

👉 See Docs/GeodiversityTools.pdf for method and indexes documentation.

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Test Data

Test data have been prepared for testing diversity indices. For more information, see:

👉 TestData/TestData.md

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Citation

If you use these tools in research, please cite appropriately: Bartuś, T. (2026). Geodiversity Tools for ArcGIS Pro (version 0.2.0). https://github.com/tomaszbartus/GeodiversityTools.

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Bibliography

The following bibliographic items describe the scientific foundations of geodiversity assessment and apply the indicators discussed:

• Bartuś, T., 2020. Struktura i różnorodność abiotycznych komponentów krajobrazu w ocenie i delimitacji obszarów chronionych na przykładzie rejonu Ojcowskiego Parku Narodowego i jego otoczenia. Wydawnictwa AGH. Kraków, 398pp. https://open.icm.edu.pl/bitstreams/0207012c-2c1f-410b-aa9f-b75bde9eaade/download
• Bartuś, T., & Mastej, W. (2023). Morphodiversity as a Tool in Geoconservation: A Case Study in a Mountain Area (Pieniny Mts, Poland). Sustainability, 15(14), 11357. https://doi.org/10.3390/SU151411357
• Mastej, W., & Bartuś, T. (2024). Supervised classification of morphodiversity using artificial neural networks on the example of the Pieniny Mts (Poland). CATENA, 242, 108086. https://doi.org/10.1016/j.catena.2024.108086
• Bartuś, T., & Mastej, W. (2025). HOW to use continuous variables in geodiversity assessments – RASTER Continuous Morphodiversity Model. Environmental Modelling and Software, 193, 106597. https://doi.org/10.1016/j.envsoft.2025.106597.
• Bartuś, T. (2026). Development and optimization of a morphodiversity model for mountainous areas using supervised classification and artificial neural networks. Scientific Reports 16, 6009. https://doi.org/10.1038/s41598-026-36326-3

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License

This project is distributed under the MIT License.
See Docs/licence.md for details.

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Contact

For questions or collaboration, please contact:

Tomasz Bartuś
bartus[at]agh.edu.pl