A scala library for spatial sensitivity analysis

TL;DR

This paper introduces a Scala library designed for spatial sensitivity analysis, enabling model validation and exploration of spatial configurations in geosimulation models through synthetic data generation and perturbation tools.

Contribution

The paper presents a novel Scala library that integrates spatial data generation, perturbation, and analysis tools within the OpenMOLE platform for enhanced spatial model sensitivity analysis.

Findings

Provides synthetic generators for urban configurations, spatial networks, and point processes.

Includes methods for data perturbation and spatial/statistical indicator computation.

Facilitates model sensitivity evaluation on synthetic and real spatial data.

Abstract

The sensitivity analysis and validation of simulation models require specific approaches in the case of spatial models. We describe the spatialdata scala library providing such tools, including synthetic generators for urban configurations at different scales, spatial networks, and spatial point processes. These can be used to parametrize geosimulation models on synthetic configurations, and evaluate the sensitivity of model outcomes to spatial configuration. The library also includes methods to perturb real data, and spatial statistics indicators, urban form indicators, and network indicators. It is embedded into the OpenMOLE platform for model exploration, fostering the application of such methods without technical constraints.