GeoPrior-3.0 Forecaster
A guided desktop environment for operationalizing GeoPrior-v3 from data intake to reproducible geohazard forecasting.
Start with the simulation, then go deeper
The short simulation is the fastest way to understand the planning value of GeoPrior-3.0 Forecaster. The other videos open up the workflow and the transferability strategy in more detail.
Land subsidence simulation
A short visual simulation showing how land subsidence could evolve from 2020 to 2032 under a business-as-usual scenario, helping decision-makers see where risk concentrates and why early action matters.
GeoPrior-v3 tutorial walkthrough
A deeper walkthrough of the forecasting workflow, from guided setup to model execution inside the desktop product experience.
Transferability across cities
A focused explanation of how a model trained in one city can support another city instead of forcing every deployment to restart from zero.
City demo
Want to discuss a real urban resilience use case?
This page can open the story. A city-focused demo can go further into risk concentration, scenario evolution, and planning-oriented interpretation for decision-makers.
Built for teams that need visibility, not hidden scripts
The strongest desktop tools do more than wrap code. They make assumptions, setup choices, and workflow state easier to see and easier to discuss.
Research labs that want reproducible setup without command-line friction.
Applied geohazard teams preparing land-subsidence scenarios and transfer runs.
Project leads who need model assumptions, physics settings, and outputs visible in one place.
Why this experience feels more operational
A stronger UI is not only visual polish. It clarifies how data, physics, and experiment design move together through the workflow.
Guided setup surfaces
Move through project paths, coordinate systems, data semantics, scaling, and feature registration with explicit UI checkpoints.
Physics-aware configuration
Keep architecture settings, censor-aware thickness handling, and physics constraints visible instead of hidden in scripts.
Operational workflow tabs
Data, experiment setup, and preprocessing views keep the end-to-end forecasting pipeline legible for teams.
Transfer and tuning ready
Support repeated experiments, model tuning, and transfer workflows in a desktop-first product layer.
A structured path from setup to forecasting
Each step keeps configuration state visible so a team can move from project creation to forecasting without losing context.
Ingest and align data
Start from project paths, coordinate reference systems, and semantic setup so every run begins from a clean contract.
Design the experiment
Define time windows, scaling units, feature registries, and architecture settings from dedicated setup dialogs.
Apply preprocessing controls
Handle censoring, physics constraints, and device/runtime options before training begins.
Train, tune, and forecast
Run forecasting workflows with a UI that keeps probabilities, experiment state, and decision points visible.
A few screens that define the product experience
These surfaces show how the product turns a research workflow into something more navigable, reviewable, and team-friendly.
Home workspace
A central launch surface for projects, forecasting runs, and navigation across the product.
Experiment design
A dedicated setup view for architecture, time windows, feature choices, and run definition.
Preprocess control
A visible preparation layer for data harmonization before model execution.
Product screenshots
20 prepared screens are currently available for this software page.
Product direction
Next step
This detail page is set up so you can later expand commercial products with release notes, licensing, feature walkthroughs, request-demo links, and richer product storytelling.