optim_lambda: Optimize a lambda parameter for the traffic volume

In maxikellerbauer/stAirPol: Spatio-temporal Modelling of Air Pollution Data

Description

Optimize a lambda parameter for the traffic volume

Usage

optim_lambda(sensor_data, sensors, roads, validation_plot = TRUE,
  lambda_range = seq(0.001, 0.02, length.out = 10),
  mc.cores = parallel::detectCores() - 1)

Arguments

sensor_data	data as returned by get_sensor_measured_values
sensors	data as returned by get_sensors
roads	as returned by get_opentransportmap_data
validation_plot	Plot a validation chart? default is TRUE
lambda_range	over which range should lambda be optimized
mc.cores	how much cores should be used for parallelization, default is one core less your maximum number of detected cores.

Value

the lambda which maximizes the correlation between the measured PM values and the trafficvolumne data

maxikellerbauer/stAirPol documentation built on May 3, 2019, 3:16 p.m.