GeoPOINT – synthetic point generator for geospatial applications

GeoPOINT is an open-source Python tool for generating, transforming, and analyzing 3D point datasets under geospatial constraints. It combines symbolic mathematics with white-box optimization to simulate realistic transformation scenarios, including rotation, translation, and measurement noise. It supports both synthetic clouds (ideal, Gaussian noise, geodetic error models) and real data in PCD/CSV formats. Rigid-body transformations can be applied with configurable noise and bias, enabling controlled testing of geodetic error propagation. Delivered as a Jupyter notebook, GeoPOINT is suitable for testing transformation accuracy, analyzing numerical stability, and teaching geodetic concepts. Its flexible architecture enables reproducible experiments, making it valuable for research, education, and offshore or mobile surveying applications.

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Publication Details

Journal
SoftwareX
Published
2025-10-22
DOI
https://doi.org/10.1016/j.softx.2025.102415
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
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article

GeoPOINT – synthetic point generator for geospatial applications

G. Stępień, Jakub Śledziowski, Karol Kabała
SoftwareX
3D Surveying and Cultural Heritage
article

GeoPOINT – synthetic point generator for geospatial applications

G. Stępień, Jakub Śledziowski, Karol Kabała
article en

Abstract

GeoPOINT is an open-source Python tool for generating, transforming, and analyzing 3D point datasets under geospatial constraints. It combines symbolic mathematics with white-box optimization to simulate realistic transformation scenarios, including rotation, translation, and measurement noise. It supports both synthetic clouds (ideal, Gaussian noise, geodetic error models) and real data in PCD/CSV formats. Rigid-body transformations can be applied with configurable noise and bias, enabling controlled testing of geodetic error propagation. Delivered as a Jupyter notebook, GeoPOINT is suitable for testing transformation accuracy, analyzing numerical stability, and teaching geodetic concepts. Its flexible architecture enables reproducible experiments, making it valuable for research, education, and offshore or mobile surveying applications.

SoftwareXVol. 32
University of Szczecin (PL), Maritime University of Szczecin (PL)
Openalex Percentile: Top 59%
3D Surveying and Cultural Heritage
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