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soiltillr 0.1.0

Initial CRAN release

New functions

Validation

• validate_soil_data() — checks a data frame for missing columns, negative values, missing rows, and implausible year values before passing it to any analysis function.

Tillage analysis

• summarise_tillage() — computes year × field summary statistics including number of operations, mean depth, maximum depth, total depth, and dominant operation type.
• tillage_depth_trend() — calculates the year-on-year change in mean tillage depth per field and classifies each year as "baseline", "increasing", "decreasing", or "stable".
• detect_compaction() — estimates compaction risk ("high", "moderate", "low") and plow pan depth from tillage records, using a user-specified depth threshold (default 20 cm).

Erosion analysis

• track_erosion_depth() — tracks annual erosion depth, year-on-year change, and cumulative erosion loss per field; classifies trend as "baseline", "improving", "worsening", or "stable".
• estimate_soil_loss() — estimates soil loss in t/ha using a standard mass-balance formula with an optional slope correction via the McCool et al.
  1987. simplified LS factor: LS = (slope% / 9)^0.6.
• compare_fields() — produces a wide-format year-by-year comparison of erosion depth and organic matter between two or more fields, including absolute difference columns.

Visualisation

• plot_tillage_timeline() — line plot of mean annual tillage depth by field.
• plot_erosion_trend() — line plot of annual erosion depth by field, with an optional second panel showing cumulative erosion (show_cumulative = TRUE).
• plot_om_trend() — line plot of soil organic matter (%) by field with a 3.5% reference line.
• plot_tillage_erosion() — dual-panel ggplot2 figure comparing mean tillage depth and erosion depth side by side.

Built-in datasets

• tillage_operations — 20-row hypothetical tillage records for Field_A and Field_B across 2018–2023 (6 variables).
• erosion_profile — 12-row hypothetical annual erosion and soil health measurements for the same fields (8 variables).

References

• Lal, R. (2001). Soil degradation by erosion. Land Degradation and Development, 12(6), 519–539. https://doi.org/10.1002/ldr.472
• McCool, D. K. et al. (1987). Revised slope steepness factor for the USLE. Transactions of the ASAE, 30(5), 1387–1396. https://doi.org/10.13031/2013.30576
• Renard, K. G. et al. (1997). Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). USDA Agriculture Handbook No. 703.

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.