whpt_predict: Predict WHPT

In ecodata1/whpt: Predict WHPT scores

Predict WHPT

Description

Run prediction for WHPT ASPT and NTAXA Based on whpt-metric-model - using random forest / GIS predictors only based on RIVPACS reference dataset. See demo_data for data structure / predictors required. Predictors come from EA website: https://environment.data.gov.uk/DefraDataDownload/?mapService=EA/RICT&mode=spatial

Usage

whpt_predict(data)

Arguments

data

Data frame of date_taken and GIS based predictors with 14 variables. Variable names can be lower or upper-case, and in any order. Extra variables can be present, these variables are ignored. sample_id Sample ID - unique identifer for sample date_taken Date as character class in 2012-12-31 format only ngr National Grid Reference - Great Britain only in ⁠NT 00990 65767⁠ format only altitude Altitude in metres d_f_source Distance from source in metres logaltbar Log altitude in metres of catchment upstream log_area Log area of catchment upstream in km squared disch_cat Discharge category slope Slope in m / km chalk Proporation of chalk in catchment clay Proporation of clay in catchment hardrock Proporation of hardrock in catchment limestone Proporation of limestone in catchment peat Proporation of peat in catchment

Value

Dataframe consisting of three variables sample_id, index and predicted_response.

sample_id

Sample ID - unique identifer for sample

index

Either ⁠Reference ASPT⁠ or ⁠Reference NTAXA⁠)

predicted_response

Predicted response value

Examples

predictions <- whpt_predict(demo_data)

ecodata1/whpt documentation built on Sept. 27, 2024, 9:02 p.m.