Welcome to LimeSoDa’s documentation!¶
Precision Liming Soil Datasets (LimeSoDa) is a collection of 31 datasets from a field- and farm-scale soil mapping context. These datasets are ‘ready-to-go’ for modeling purposes, as they contain target soil properties and features in a tabular format. Target soil properties for all datasets are; soil organic matter (SOM) or -carbon (SOC), pH and clay, while the features for modeling are dataset-specific. The goal of LimeSoDa is to enable more reliable benchmarking and comparison of various modeling approaches in Digital Soil Mapping and Pedometrics by providing an open collection of multiple datasets. This document offers an overview of the LimeSoDa Python package and how to use it for modeling purposes.
Contents:
- Introduction
- Installation
- Datasets
- Overview of Datasets
- B.204 Dataset
- BB.250 Dataset
- BB.30_1 Dataset
- BB.30_2 Dataset
- BB.51 Dataset
- BB.72 Dataset
- CV.98 Dataset
- G.104 Dataset
- G.150 Dataset
- H.138 Dataset
- MG.112 Dataset
- MG.44 Dataset
- MGS.101 Dataset
- MWP.36 Dataset
- NRW.115 Dataset
- NRW.42 Dataset
- NRW.62 Dataset
- NSW.52 Dataset
- O.32 Dataset
- PC.45 Dataset
- RP.62 Dataset
- SA.112 Dataset
- SC.50 Dataset
- SC.93 Dataset
- SL.125 Dataset
- SM.40 Dataset
- SP.231 Dataset
- SSP.460 Dataset
- SSP.58 Dataset
- UL.120 Dataset
- W.50 Dataset
- API Reference
- Usage Examples