OpenQuake Engine: a software for Seismic Hazard and Risk Analysis

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

Loss modelling framework.

The OFFICIAL mirror of hazard nuker (with updates and fixes)

This integration uses official API to get weather warnings for Poland and storm warnings for Europe from https://burze.dzis.net.

LaGriSU v 0.2 (Landslide Grid and Slope Units): binary (1,0) samples extraction tool pack for landslides mapping in QGIS

First person shooter survival horror full of dark corridors and screeching noises, with a few bullets, a battered armor and robotic monsters waiting in the dark.

Geoanalytics for climate and disaster risk screening

Emergency Early Warning, Early Action Toolkit(WIP).

One more information resource about earthquakes, seismic impacts and hazards

Imperial College Storm Model

Early Warning, Early Action Toolkit Web for https://github.com/CodeTanzania/ewea

A representation of an entity (e.g municipal, individual, agency, organization etc) consisting of contact information (e.g. name, e-mail addresses, phone numbers) and other descriptive information of interest in emergency(or disaster) management.

Proactive methodological disclosure of a high resolution precision calibrated estimate of the Gompertz-Makeham Law of Mortality and general utilization hazard rates through lifespan interferometry against annual census data consolidated from the administrative data of all publicly funded healthcare provided in a single geopolitical jurisdiction.

A representation of written set of activities and procedures that outlines(or guides) what stakeholders and others should do in emergency(or disaster) event.

Code and figures for Heisig, J.; Olson, E.; Pebesma, E. Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing. Fire 2022, 5, 29. https://doi.org/10.3390/fire5010029

Non-parametric conditional density estimation with binned conditional histograms

A library that computes the hazard of cosmetic products components, based on the Biodizionario data

A representation of an entity which define and track an instance(or occurrence) of an emergency(or disaster) event.

Virginia - National Flood Hazard Layer (NFHL) Inventory Table GIS Open Data