RiskScape (v1.1.0)
RiskScape (v1.1.0)
Year of publication: 2022 (latest release)
Access: RiskScape is open-source for research purposes only, freely downloadable from the website. RiskScape is run from the command line, with the ability to run simple deterministic models on a laptop to running computationally-intensive probabilistic models on a cluster.
Link: https://riskscape.org.nz/
Description
RiskScape is geospatial data processing framework that lets users assess multi-hazard risk to buildings, infrastructure and people. Natural hazards include flood, earthquake, tsunami, volcanic eruption, landslide, sea level rise, or cyclone. The framework enables users to build a simple risk model using a wizard which guides users through questions about their input files and modelling requirements. RiskScape is customisable enabling users to adapt the risk analysis for their input files and needs. Advanced users can also build their own risk model using Python functions.
Input files include information about the hazard(s), for example the hazard type, metric intensity and temporal occurrence; exposure data; and vulnerability functions. File formats include GIS files such as shapefiles, rasters and CSV.
Functions are used to assess the impact a hazard has on an element at risk, such as estimating loss or calculating costs. RiskScape has a number of built-in functions that can be used, or users can define their own.
A comprehensive user guide is provided on the website: https://riskscape.org.nz/docs/index.html A number of case studies can be found here: https://community.riskscape.org.nz/
Technical considerations
RiskScape is a Command Line Interface (CLI) tool, therefore users are expected to have a working knowledge of using the command line.
A wizard guides the user through the input data and model requirements, and the process is carries out using its own scripting language. Users can write their own functions in Python depending on their needs.
Input files types include shapefiles, rasters and CSV.
RiskScape can be run on a laptop to carry out simple deterministic modelling, or it can run computationally intensive, highly parallelised processing of datasets.
Keywords
multi-hazard risk analysis; impact analysis; loss modelling