Applications ============ This section presents GeoPrior through concrete research and workflow use cases. Instead of focusing only on isolated module interfaces, the application pages show how the package is used to solve practical tasks such as subsidence forecasting, hyperparameter tuning, uncertainty-aware calibration, reproducibility support, and figure production for scientific communication. The goal is to connect three levels of understanding that often need to be read together in real work: - **workflow intent**, explaining what a page is trying to accomplish, - **scientific context**, clarifying why the task matters in the land subsidence setting, - **implementation path**, showing which package layers, stages, or scripts support the workflow in practice. For readers coming from the command-line workflow, this section is a natural continuation of the :doc:`../user_guide/workflow_overview` and the stage-by-stage guides. For readers coming from the model side, it also serves as an applied complement to the :doc:`../scientific_foundations/models_overview` and :doc:`../scientific_foundations/geoprior_subsnet` pages. .. note:: Use this section when you want to understand how GeoPrior behaves in realistic forecasting and analysis scenarios. These pages provide the most direct bridge between the scientific narrative, the workflow logic, and the practical outputs produced in applied studies. .. container:: cta-tiles .. grid:: 1 2 2 3 :gutter: 3 .. grid-item-card:: Subsidence forecasting :class-card: sd-shadow-sm card--workflow :link: subsidence_forecasting :link-type: doc Follow the end-to-end forecasting narrative, including inputs, staged processing, model execution, and interpretation of outputs in the GeoPrior subsidence setting. .. grid-item-card:: Tuner workflow :class-card: sd-shadow-sm card--configuration :link: tuner_workflow :link-type: doc Understand how configuration search, experiment structure, and tuning logic fit into the wider modeling workflow. .. grid-item-card:: Calibration and uncertainty :class-card: sd-shadow-sm card--uncertainty :link: calibration_and_uncertainty :link-type: doc Explore how calibration logic, uncertainty-aware diagnostics, and evaluation support more credible model interpretation. .. grid-item-card:: Reproducibility scripts :class-card: sd-shadow-sm card--cli :link: reproducibility_scripts :link-type: doc Review the reproducibility-oriented scripts that help regenerate experiments, organize outputs, and keep results traceable. .. grid-item-card:: Figure generation :class-card: sd-shadow-sm card--physics :link: figure_generation :link-type: doc See how the project turns model outputs and diagnostics into publication-ready figures for interpretation and communication. .. grid-item-card:: Application case studies :class-card: sd-shadow-sm card--workflow :link: ../auto_examples/applications/index :link-type: doc Move from workflow pages to full applied examples that show how GeoPrior is read as a scientific case study, from core value and identifiability guardrails to hotspot prioritization and transferability across cities. How to read this section ------------------------ These pages can be read in two complementary ways. The first is as an applied walkthrough of the package. In that mode, a reader starts from the forecasting workflow, then moves outward into model tuning, calibration, uncertainty, reproducibility, and figure production. This path is useful when the main goal is to understand how GeoPrior is used in an end-to-end study rather than only how individual modules are implemented. The second is as a map of research-facing use cases. In that mode, each page acts as a focused application note showing how a specific activity fits into the broader GeoPrior ecosystem, what artifacts it depends on, and which later outputs it supports. The application case-study gallery under :doc:`../auto_examples/applications/index` is a natural follow-on when you want to see those ideas assembled into full scientific reading paths. A useful reading path is often: #. begin with :doc:`subsidence_forecasting`, #. continue to :doc:`tuner_workflow`, #. then read :doc:`calibration_and_uncertainty`, #. finish with :doc:`reproducibility_scripts` and :doc:`figure_generation`, #. then move to :doc:`../auto_examples/applications/index` for the case-study gallery. That sequence moves from the main applied workflow to experimentation, then to credibility analysis, and finally to the reproducibility, communication, and case-study layers that support research-grade use. .. tip:: If you are new to GeoPrior, start with the forecasting page first. If you already know the workflow and mainly want to understand how results are organized, checked, regenerated, and presented, move directly to the calibration, reproducibility, figure, and case-study pages. .. toctree:: :maxdepth: 1 :hidden: subsidence_forecasting tuner_workflow calibration_and_uncertainty reproducibility_scripts figure_generation ../auto_examples/applications/index