dsm-soil

Plugin dsm-soil from marketplace soil-dsm-skills in ccarbajal16/soil-dsm-skills. Commands read from the repo's manifest — 20 days ago.

Skills (12)

• digital-soil-mapping-workflow

  Run a digital soil mapping (DSM) project end to end — from framing the target and assembling scorpan covariates, through sampling design, model selection, handling spatial autocorrelation, training, and producing a map with calibrated uncertainty. Use when planning or reviewing any project that pred

• ensemble-ml-for-soil

  Decide whether to combine machine-learning models at all, and if so how — by measuring the gain available before building any combiner. Covers the ambiguity/diversity ceiling, the weighting spectrum (simple average, R²-weighted, Bates–Granger, AIC/BIC, NNLS/SuperLearner, Granger–Ramanathan, learned

• hybrid-process-ml-soc

  Design and build hybrid soil-organic-carbon models that fuse a process-oriented model (RothC / CENTURY / Millennial) with machine learning (Random Forest / QRF) to predict SOC stock in space AND time — getting ML's spatial accuracy together with the process model's physically-plausible temporal dyna

• ml-for-soil-prediction

  Choose, tune, and reason about machine-learning models for predicting soil properties (SOC, texture, pH, …) — Random Forest, Quantile Regression Forests, gradient boosting, and deep learning — including per-pixel uncertainty and interpretability. Use when the task is the ML modelling craft itself: w

• rothc-temporal-modelling

  Set up, initialize, calibrate, validate, and interpret the RothC (Rothamsted Carbon) model — and CENTURY-family process models — for simulating soil organic carbon stock and its change over time. Use when modelling SOC dynamics under management or climate scenarios, initializing RothC pools (spin-up

• soc-stock-mrv

  Quantify, report, and verify soil-organic-carbon stock and its change over time for carbon markets / MRV (Monitoring, Reporting, Verification) — computing SOC stock, estimating change and its uncertainty at the field/project support, and applying the uncertainty deduction that determines creditable

• soil-fertility-mapping

  Produce national/regional maps of multiple soil fertility properties and nutrients from harmonized legacy data with machine learning, and integrate them into a composite Soil Fertility Index (SFI) with honest, propagated uncertainty. Use when the goal is a multi-property fertility product (texture,

• soil-map-validation

  Validate soil property maps and SOC (organic carbon) predictions rigorously — choosing cross-validation strategy, computing and interpreting accuracy metrics, checking that uncertainty is honest, and aggregating uncertainty to the reporting support. Use when reviewing, designing, or reporting the ac

• soil-quality-index

  Build, validate and interpret a Soil Quality Index (SQI) or Soil Health Index (SHI) from measured soil indicators — selecting a minimum data set, scoring indicators, weighting and aggregating them, and proving the index actually discriminates. Covers land-use and management comparison, degradation q

• soil-sampling-design

  Choose and design a soil sampling scheme for digital soil mapping — where (and when) to sample, how many, and by which method — matched to the objective (feature-space vs spatial coverage, representativeness, local heterogeneity, multiple properties, cost/accessibility, space-time) and to whether yo

• spatial-prediction-uncertainty

  Quantify, map, and communicate the uncertainty of a spatial ML prediction on BOTH axes — distributional ("how variable is the outcome here?") and epistemic coverage ("has the model even seen anything like here?"). Use when you need honest per-pixel uncertainty for a digital soil map, nutrient/fertil

• spatial-statistics-areal

  Analyse spatial association and spatial dependence on areal (lattice/polygon) data for ANY variable — global and local Moran's I, LISA hot/cold spots and spatial outliers, bivariate Moran and BiLISA, Lee's L, spatial weights matrices and their robustness, Rao's-score (ex-Lagrange multiplier) diagnos

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