The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

TSGenerator 2.0.0

TSGenerator 2.0 is a major release focused on current Copernicus HR-VPP Seasonal Trajectories (ST) and Vegetation Phenology and Productivity (VPP) workflows. The package has been reorganized around native R acquisition, terra-based geospatial processing, explicit product-quality handling, and reproducible time-series analysis.

Acquisition

• Added native R access to WEkEO HDA through hdar; Python and reticulate are no longer required for ST/VPP acquisition.
• Added download_st() for HR-VPP Seasonal Trajectories, including PPI and ST-QFLAG selection, tile/bounding-box filters, preview mode, structured results, and automatic splitting of long requests into service-compatible temporal windows.
• Added download_vpp() with product-aware VPP selection, season handling, spatial/temporal filters, preview mode, and structured results.
• Added check_wekeo() and check_wekeo_integration() for offline diagnostics and opt-in live integration checks.
• Added bounded retry logic, transfer-size estimates, and skip-existing behaviour for more robust acquisition.
• Retained Download.STPPI() and Download.HRVPP() as deprecated compatibility wrappers over the 2.0 acquisition API.

Geospatial processing

• Migrated the active geospatial core from raster to terra.
• Added geospatial_plan() for explicit validation of raster/vector inputs, CRS, polygon identifiers, and scaling choices.
• Added extract_ts() as the unified polygon time-series extraction API with explicit feature IDs and mean/median/min/max/sum aggregation.
• Added product-aware extract_vpp(), including VPP parameter interpretation, season/year provenance, official scaling/NoData handling, and date decoding before spatial aggregation.
• Fixed extraction from real HR-VPP raster stacks whose layers share identical internal band descriptions by selecting extracted values positionally while preserving temporal attribution from filenames.
• Original CLMS filenames are preserved for provenance; legacy VPP file renaming is no longer part of the recommended workflow.

Product quality

• Added quality_info(), classify_quality(), summarize_quality(), and mask_quality() for current ST/VPP QFLAG semantics.
• Product quality is explicitly separated from temporal completeness diagnostics.
• Categorical QFLAG rasters are never bilinearly resampled automatically.
• mask_quality() supports explicit quality thresholds/codes and requires compatible target/QFLAG raster geometry.

Time-series quality and analysis

• Added temporal_plan() to define expected temporal coverage explicitly.
• Added summarize_missingness() to distinguish absent expected dates, explicit NA values, and usable observations.
• Added assess_ts_quality() for completeness-based whole-series or windowed assessment. It is the primary 2.0 replacement for the legacy quality.Series() and general.Quality() quality-classification workflows.
• Added impute_ts() with explicit linear/Kalman methods, imputation provenance, optional expected-grid completion, long-gap protection, and safeguards against routine re-imputation of already processed ST series.
• Added model_missingness() and plot_missingness() for GAM-based temporal missingness diagnostics, separating model fitting from plotting.
• Retained selected 1.x functions as deprecated wrappers or migration guards where a safe transition path is available.

Unified graphical interface

• Added the integrated TSGenerator2 Shiny application and made it the default interface launched by runTSapp().
• The application follows the workflow Acquire → Prepare/Extract → Quality → Analyze → Export.
• Acquisition, spatial extraction, product quality, temporal analysis, imputation, and export modules call the same public 2.0 R API used in scripts; scientific algorithms are not duplicated in the Shiny server.
• Results & Export can provide available session outputs, acquisition provenance, reproducible R code, session information, and analysis bundles.
• The ST and VPP acquisition mini-apps remain temporarily available for compatibility. Discontinued VI/QFLAG2 and standalone GAM interfaces provide migration guidance instead of silently running obsolete workflows.

Legacy and dependency changes

• The discontinued VI/QFLAG2 workflow is no longer part of the active 2.0 core. Historical source remains under the build-excluded legacy/ directory for traceability.
• Removed active dependencies on reticulate, raster, plotly, VIM, and doParallel.
• Reduced the installed surface to current ST/VPP workflows, the unified Shiny application, and explicitly retained compatibility interfaces.
• Legacy functions tied to discontinued products now act as migration guards where appropriate rather than executing obsolete processing chains.

Documentation, testing, and release engineering

• Added CRAN-safe vignettes for getting started, ST/VPP workflows, and migration from 1.x to 2.0. Network-dependent examples are not executed during vignette builds.
• Added offline tests for acquisition validation, geospatial extraction, quality handling, temporal completeness, imputation, missingness modelling, installed API availability, Shiny distribution, and package engineering.
• Added regression coverage for malformed dates, explicit non-contiguous QFLAG codes, duplicate HR-VPP raster band descriptions, and release metadata.
• Synchronized migration documentation so assess_ts_quality() is the documented primary replacement for general.Quality(); summarize_missingness() remains the complementary diagnostic summary.
• Prepared package metadata, documentation, build exclusions, and installed assets for the 2.0.0 CRAN release.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.